diff --git a/src/后端/.gitignore b/src/后端/.gitignore new file mode 100644 index 00000000..549e00a2 --- /dev/null +++ b/src/后端/.gitignore @@ -0,0 +1,33 @@ +HELP.md +target/ +!.mvn/wrapper/maven-wrapper.jar +!**/src/main/**/target/ +!**/src/test/**/target/ + +### STS ### +.apt_generated +.classpath +.factorypath +.project +.settings +.springBeans +.sts4-cache + +### IntelliJ IDEA ### +.idea +*.iws +*.iml +*.ipr + +### NetBeans ### +/nbproject/private/ +/nbbuild/ +/dist/ +/nbdist/ +/.nb-gradle/ +build/ +!**/src/main/**/build/ +!**/src/test/**/build/ + +### VS Code ### +.vscode/ diff --git a/src/后端/.mvn/wrapper/maven-wrapper.jar b/src/后端/.mvn/wrapper/maven-wrapper.jar new file mode 100644 index 00000000..bf82ff01 Binary files /dev/null and b/src/后端/.mvn/wrapper/maven-wrapper.jar differ diff --git a/src/后端/.mvn/wrapper/maven-wrapper.properties b/src/后端/.mvn/wrapper/maven-wrapper.properties new file mode 100644 index 00000000..ca5ab4ba --- /dev/null +++ b/src/后端/.mvn/wrapper/maven-wrapper.properties @@ -0,0 +1,18 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +distributionUrl=https://repo.maven.apache.org/maven2/org/apache/maven/apache-maven/3.8.7/apache-maven-3.8.7-bin.zip +wrapperUrl=https://repo.maven.apache.org/maven2/org/apache/maven/wrapper/maven-wrapper/3.1.1/maven-wrapper-3.1.1.jar diff --git a/src/后端/mvnw b/src/后端/mvnw new file mode 100644 index 00000000..8a8fb228 --- /dev/null +++ b/src/后端/mvnw @@ -0,0 +1,316 @@ +#!/bin/sh +# ---------------------------------------------------------------------------- +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +# ---------------------------------------------------------------------------- + +# ---------------------------------------------------------------------------- +# Maven Start Up Batch script +# +# Required ENV vars: +# ------------------ +# JAVA_HOME - location of a JDK home dir +# +# Optional ENV vars +# ----------------- +# M2_HOME - location of maven2's installed home dir +# MAVEN_OPTS - parameters passed to the Java VM when running Maven +# e.g. to debug Maven itself, use +# set MAVEN_OPTS=-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=8000 +# MAVEN_SKIP_RC - flag to disable loading of mavenrc files +# ---------------------------------------------------------------------------- + +if [ -z "$MAVEN_SKIP_RC" ] ; then + + if [ -f /usr/local/etc/mavenrc ] ; then + . /usr/local/etc/mavenrc + fi + + if [ -f /etc/mavenrc ] ; then + . /etc/mavenrc + fi + + if [ -f "$HOME/.mavenrc" ] ; then + . "$HOME/.mavenrc" + fi + +fi + +# OS specific support. $var _must_ be set to either true or false. +cygwin=false; +darwin=false; +mingw=false +case "`uname`" in + CYGWIN*) cygwin=true ;; + MINGW*) mingw=true;; + Darwin*) darwin=true + # Use /usr/libexec/java_home if available, otherwise fall back to /Library/Java/Home + # See https://developer.apple.com/library/mac/qa/qa1170/_index.html + if [ -z "$JAVA_HOME" ]; then + if [ -x "/usr/libexec/java_home" ]; then + export JAVA_HOME="`/usr/libexec/java_home`" + else + export JAVA_HOME="/Library/Java/Home" + fi + fi + ;; +esac + +if [ -z "$JAVA_HOME" ] ; then + if [ -r /etc/gentoo-release ] ; then + JAVA_HOME=`java-config --jre-home` + fi +fi + +if [ -z "$M2_HOME" ] ; then + ## resolve links - $0 may be a link to maven's home + PRG="$0" + + # need this for relative symlinks + while [ -h "$PRG" ] ; do + ls=`ls -ld "$PRG"` + link=`expr "$ls" : '.*-> \(.*\)$'` + if expr "$link" : '/.*' > /dev/null; then + PRG="$link" + else + PRG="`dirname "$PRG"`/$link" + fi + done + + saveddir=`pwd` + + M2_HOME=`dirname "$PRG"`/.. + + # make it fully qualified + M2_HOME=`cd "$M2_HOME" && pwd` + + cd "$saveddir" + # echo Using m2 at $M2_HOME +fi + +# For Cygwin, ensure paths are in UNIX format before anything is touched +if $cygwin ; then + [ -n "$M2_HOME" ] && + M2_HOME=`cygpath --unix "$M2_HOME"` + [ -n "$JAVA_HOME" ] && + JAVA_HOME=`cygpath --unix "$JAVA_HOME"` + [ -n "$CLASSPATH" ] && + CLASSPATH=`cygpath --path --unix "$CLASSPATH"` +fi + +# For Mingw, ensure paths are in UNIX format before anything is touched +if $mingw ; then + [ -n "$M2_HOME" ] && + M2_HOME="`(cd "$M2_HOME"; pwd)`" + [ -n "$JAVA_HOME" ] && + JAVA_HOME="`(cd "$JAVA_HOME"; pwd)`" +fi + +if [ -z "$JAVA_HOME" ]; then + javaExecutable="`which javac`" + if [ -n "$javaExecutable" ] && ! [ "`expr \"$javaExecutable\" : '\([^ ]*\)'`" = "no" ]; then + # readlink(1) is not available as standard on Solaris 10. + readLink=`which readlink` + if [ ! `expr "$readLink" : '\([^ ]*\)'` = "no" ]; then + if $darwin ; then + javaHome="`dirname \"$javaExecutable\"`" + javaExecutable="`cd \"$javaHome\" && pwd -P`/javac" + else + javaExecutable="`readlink -f \"$javaExecutable\"`" + fi + javaHome="`dirname \"$javaExecutable\"`" + javaHome=`expr "$javaHome" : '\(.*\)/bin'` + JAVA_HOME="$javaHome" + export JAVA_HOME + fi + fi +fi + +if [ -z "$JAVACMD" ] ; then + if [ -n "$JAVA_HOME" ] ; then + if [ -x "$JAVA_HOME/jre/sh/java" ] ; then + # IBM's JDK on AIX uses strange locations for the executables + JAVACMD="$JAVA_HOME/jre/sh/java" + else + JAVACMD="$JAVA_HOME/bin/java" + fi + else + JAVACMD="`\\unset -f command; \\command -v java`" + fi +fi + +if [ ! -x "$JAVACMD" ] ; then + echo "Error: JAVA_HOME is not defined correctly." >&2 + echo " We cannot execute $JAVACMD" >&2 + exit 1 +fi + +if [ -z "$JAVA_HOME" ] ; then + echo "Warning: JAVA_HOME environment variable is not set." +fi + +CLASSWORLDS_LAUNCHER=org.codehaus.plexus.classworlds.launcher.Launcher + +# traverses directory structure from process work directory to filesystem root +# first directory with .mvn subdirectory is considered project base directory +find_maven_basedir() { + + if [ -z "$1" ] + then + echo "Path not specified to find_maven_basedir" + return 1 + fi + + basedir="$1" + wdir="$1" + while [ "$wdir" != '/' ] ; do + if [ -d "$wdir"/.mvn ] ; then + basedir=$wdir + break + fi + # workaround for JBEAP-8937 (on Solaris 10/Sparc) + if [ -d "${wdir}" ]; then + wdir=`cd "$wdir/.."; pwd` + fi + # end of workaround + done + echo "${basedir}" +} + +# concatenates all lines of a file +concat_lines() { + if [ -f "$1" ]; then + echo "$(tr -s '\n' ' ' < "$1")" + fi +} + +BASE_DIR=`find_maven_basedir "$(pwd)"` +if [ -z "$BASE_DIR" ]; then + exit 1; +fi + +########################################################################################## +# Extension to allow automatically downloading the maven-wrapper.jar from Maven-central +# This allows using the maven wrapper in projects that prohibit checking in binary data. +########################################################################################## +if [ -r "$BASE_DIR/.mvn/wrapper/maven-wrapper.jar" ]; then + if [ "$MVNW_VERBOSE" = true ]; then + echo "Found .mvn/wrapper/maven-wrapper.jar" + fi +else + if [ "$MVNW_VERBOSE" = true ]; then + echo "Couldn't find .mvn/wrapper/maven-wrapper.jar, downloading it ..." + fi + if [ -n "$MVNW_REPOURL" ]; then + jarUrl="$MVNW_REPOURL/org/apache/maven/wrapper/maven-wrapper/3.1.0/maven-wrapper-3.1.0.jar" + else + jarUrl="https://repo.maven.apache.org/maven2/org/apache/maven/wrapper/maven-wrapper/3.1.0/maven-wrapper-3.1.0.jar" + fi + while IFS="=" read key value; do + case "$key" in (wrapperUrl) jarUrl="$value"; break ;; + esac + done < "$BASE_DIR/.mvn/wrapper/maven-wrapper.properties" + if [ "$MVNW_VERBOSE" = true ]; then + echo "Downloading from: $jarUrl" + fi + wrapperJarPath="$BASE_DIR/.mvn/wrapper/maven-wrapper.jar" + if $cygwin; then + wrapperJarPath=`cygpath --path --windows "$wrapperJarPath"` + fi + + if command -v wget > /dev/null; then + if [ "$MVNW_VERBOSE" = true ]; then + echo "Found wget ... using wget" + fi + if [ -z "$MVNW_USERNAME" ] || [ -z "$MVNW_PASSWORD" ]; then + wget "$jarUrl" -O "$wrapperJarPath" || rm -f "$wrapperJarPath" + else + wget --http-user=$MVNW_USERNAME --http-password=$MVNW_PASSWORD "$jarUrl" -O "$wrapperJarPath" || rm -f "$wrapperJarPath" + fi + elif command -v curl > /dev/null; then + if [ "$MVNW_VERBOSE" = true ]; then + echo "Found curl ... using curl" + fi + if [ -z "$MVNW_USERNAME" ] || [ -z "$MVNW_PASSWORD" ]; then + curl -o "$wrapperJarPath" "$jarUrl" -f + else + curl --user $MVNW_USERNAME:$MVNW_PASSWORD -o "$wrapperJarPath" "$jarUrl" -f + fi + + else + if [ "$MVNW_VERBOSE" = true ]; then + echo "Falling back to using Java to download" + fi + javaClass="$BASE_DIR/.mvn/wrapper/MavenWrapperDownloader.java" + # For Cygwin, switch paths to Windows format before running javac + if $cygwin; then + javaClass=`cygpath --path --windows "$javaClass"` + fi + if [ -e "$javaClass" ]; then + if [ ! -e "$BASE_DIR/.mvn/wrapper/MavenWrapperDownloader.class" ]; then + if [ "$MVNW_VERBOSE" = true ]; then + echo " - Compiling MavenWrapperDownloader.java ..." + fi + # Compiling the Java class + ("$JAVA_HOME/bin/javac" "$javaClass") + fi + if [ -e "$BASE_DIR/.mvn/wrapper/MavenWrapperDownloader.class" ]; then + # Running the downloader + if [ "$MVNW_VERBOSE" = true ]; then + echo " - Running MavenWrapperDownloader.java ..." + fi + ("$JAVA_HOME/bin/java" -cp .mvn/wrapper MavenWrapperDownloader "$MAVEN_PROJECTBASEDIR") + fi + fi + fi +fi +########################################################################################## +# End of extension +########################################################################################## + +export MAVEN_PROJECTBASEDIR=${MAVEN_BASEDIR:-"$BASE_DIR"} +if [ "$MVNW_VERBOSE" = true ]; then + echo $MAVEN_PROJECTBASEDIR +fi +MAVEN_OPTS="$(concat_lines "$MAVEN_PROJECTBASEDIR/.mvn/jvm.config") $MAVEN_OPTS" + +# For Cygwin, switch paths to Windows format before running java +if $cygwin; then + [ -n "$M2_HOME" ] && + M2_HOME=`cygpath --path --windows "$M2_HOME"` + [ -n "$JAVA_HOME" ] && + JAVA_HOME=`cygpath --path --windows "$JAVA_HOME"` + [ -n "$CLASSPATH" ] && + CLASSPATH=`cygpath --path --windows "$CLASSPATH"` + [ -n "$MAVEN_PROJECTBASEDIR" ] && + MAVEN_PROJECTBASEDIR=`cygpath --path --windows "$MAVEN_PROJECTBASEDIR"` +fi + +# Provide a "standardized" way to retrieve the CLI args that will +# work with both Windows and non-Windows executions. +MAVEN_CMD_LINE_ARGS="$MAVEN_CONFIG $@" +export MAVEN_CMD_LINE_ARGS + +WRAPPER_LAUNCHER=org.apache.maven.wrapper.MavenWrapperMain + +exec "$JAVACMD" \ + $MAVEN_OPTS \ + $MAVEN_DEBUG_OPTS \ + -classpath "$MAVEN_PROJECTBASEDIR/.mvn/wrapper/maven-wrapper.jar" \ + "-Dmaven.home=${M2_HOME}" \ + "-Dmaven.multiModuleProjectDirectory=${MAVEN_PROJECTBASEDIR}" \ + ${WRAPPER_LAUNCHER} $MAVEN_CONFIG "$@" diff --git a/src/后端/mvnw.cmd b/src/后端/mvnw.cmd new file mode 100644 index 00000000..1d8ab018 --- /dev/null +++ b/src/后端/mvnw.cmd @@ -0,0 +1,188 @@ +@REM ---------------------------------------------------------------------------- +@REM Licensed to the Apache Software Foundation (ASF) under one +@REM or more contributor license agreements. See the NOTICE file +@REM distributed with this work for additional information +@REM regarding copyright ownership. The ASF licenses this file +@REM to you under the Apache License, Version 2.0 (the +@REM "License"); you may not use this file except in compliance +@REM with the License. You may obtain a copy of the License at +@REM +@REM https://www.apache.org/licenses/LICENSE-2.0 +@REM +@REM Unless required by applicable law or agreed to in writing, +@REM software distributed under the License is distributed on an +@REM "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +@REM KIND, either express or implied. See the License for the +@REM specific language governing permissions and limitations +@REM under the License. +@REM ---------------------------------------------------------------------------- + +@REM ---------------------------------------------------------------------------- +@REM Maven Start Up Batch script +@REM +@REM Required ENV vars: +@REM JAVA_HOME - location of a JDK home dir +@REM +@REM Optional ENV vars +@REM M2_HOME - location of maven2's installed home dir +@REM MAVEN_BATCH_ECHO - set to 'on' to enable the echoing of the batch commands +@REM MAVEN_BATCH_PAUSE - set to 'on' to wait for a keystroke before ending +@REM MAVEN_OPTS - parameters passed to the Java VM when running Maven +@REM e.g. to debug Maven itself, use +@REM set MAVEN_OPTS=-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=8000 +@REM MAVEN_SKIP_RC - flag to disable loading of mavenrc files +@REM ---------------------------------------------------------------------------- + +@REM Begin all REM lines with '@' in case MAVEN_BATCH_ECHO is 'on' +@echo off +@REM set title of command window +title %0 +@REM enable echoing by setting MAVEN_BATCH_ECHO to 'on' +@if "%MAVEN_BATCH_ECHO%" == "on" echo %MAVEN_BATCH_ECHO% + +@REM set %HOME% to equivalent of $HOME +if "%HOME%" == "" (set "HOME=%HOMEDRIVE%%HOMEPATH%") + +@REM Execute a user defined script before this one +if not "%MAVEN_SKIP_RC%" == "" goto skipRcPre +@REM check for pre script, once with legacy .bat ending and once with .cmd ending +if exist "%USERPROFILE%\mavenrc_pre.bat" call "%USERPROFILE%\mavenrc_pre.bat" %* +if exist "%USERPROFILE%\mavenrc_pre.cmd" call "%USERPROFILE%\mavenrc_pre.cmd" %* +:skipRcPre + +@setlocal + +set ERROR_CODE=0 + +@REM To isolate internal variables from possible post scripts, we use another setlocal +@setlocal + +@REM ==== START VALIDATION ==== +if not "%JAVA_HOME%" == "" goto OkJHome + +echo. +echo Error: JAVA_HOME not found in your environment. >&2 +echo Please set the JAVA_HOME variable in your environment to match the >&2 +echo location of your Java installation. >&2 +echo. +goto error + +:OkJHome +if exist "%JAVA_HOME%\bin\java.exe" goto init + +echo. +echo Error: JAVA_HOME is set to an invalid directory. >&2 +echo JAVA_HOME = "%JAVA_HOME%" >&2 +echo Please set the JAVA_HOME variable in your environment to match the >&2 +echo location of your Java installation. >&2 +echo. +goto error + +@REM ==== END VALIDATION ==== + +:init + +@REM Find the project base dir, i.e. the directory that contains the folder ".mvn". +@REM Fallback to current working directory if not found. + +set MAVEN_PROJECTBASEDIR=%MAVEN_BASEDIR% +IF NOT "%MAVEN_PROJECTBASEDIR%"=="" goto endDetectBaseDir + +set EXEC_DIR=%CD% +set WDIR=%EXEC_DIR% +:findBaseDir +IF EXIST "%WDIR%"\.mvn goto baseDirFound +cd .. +IF "%WDIR%"=="%CD%" goto baseDirNotFound +set WDIR=%CD% +goto findBaseDir + +:baseDirFound +set MAVEN_PROJECTBASEDIR=%WDIR% +cd "%EXEC_DIR%" +goto endDetectBaseDir + +:baseDirNotFound +set MAVEN_PROJECTBASEDIR=%EXEC_DIR% +cd "%EXEC_DIR%" + +:endDetectBaseDir + +IF NOT EXIST "%MAVEN_PROJECTBASEDIR%\.mvn\jvm.config" goto endReadAdditionalConfig + +@setlocal EnableExtensions EnableDelayedExpansion +for /F "usebackq delims=" %%a in ("%MAVEN_PROJECTBASEDIR%\.mvn\jvm.config") do set JVM_CONFIG_MAVEN_PROPS=!JVM_CONFIG_MAVEN_PROPS! %%a +@endlocal & set JVM_CONFIG_MAVEN_PROPS=%JVM_CONFIG_MAVEN_PROPS% + +:endReadAdditionalConfig + +SET MAVEN_JAVA_EXE="%JAVA_HOME%\bin\java.exe" +set WRAPPER_JAR="%MAVEN_PROJECTBASEDIR%\.mvn\wrapper\maven-wrapper.jar" +set WRAPPER_LAUNCHER=org.apache.maven.wrapper.MavenWrapperMain + +set DOWNLOAD_URL="https://repo.maven.apache.org/maven2/org/apache/maven/wrapper/maven-wrapper/3.1.0/maven-wrapper-3.1.0.jar" + +FOR /F "usebackq tokens=1,2 delims==" %%A IN ("%MAVEN_PROJECTBASEDIR%\.mvn\wrapper\maven-wrapper.properties") DO ( + IF "%%A"=="wrapperUrl" SET DOWNLOAD_URL=%%B +) + +@REM Extension to allow automatically downloading the maven-wrapper.jar from Maven-central +@REM This allows using the maven wrapper in projects that prohibit checking in binary data. +if exist %WRAPPER_JAR% ( + if "%MVNW_VERBOSE%" == "true" ( + echo Found %WRAPPER_JAR% + ) +) else ( + if not "%MVNW_REPOURL%" == "" ( + SET DOWNLOAD_URL="%MVNW_REPOURL%/org/apache/maven/wrapper/maven-wrapper/3.1.0/maven-wrapper-3.1.0.jar" + ) + if "%MVNW_VERBOSE%" == "true" ( + echo Couldn't find %WRAPPER_JAR%, downloading it ... + echo Downloading from: %DOWNLOAD_URL% + ) + + powershell -Command "&{"^ + "$webclient = new-object System.Net.WebClient;"^ + "if (-not ([string]::IsNullOrEmpty('%MVNW_USERNAME%') -and [string]::IsNullOrEmpty('%MVNW_PASSWORD%'))) {"^ + "$webclient.Credentials = new-object System.Net.NetworkCredential('%MVNW_USERNAME%', '%MVNW_PASSWORD%');"^ + "}"^ + "[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12; $webclient.DownloadFile('%DOWNLOAD_URL%', '%WRAPPER_JAR%')"^ + "}" + if "%MVNW_VERBOSE%" == "true" ( + echo Finished downloading %WRAPPER_JAR% + ) +) +@REM End of extension + +@REM Provide a "standardized" way to retrieve the CLI args that will +@REM work with both Windows and non-Windows executions. +set MAVEN_CMD_LINE_ARGS=%* + +%MAVEN_JAVA_EXE% ^ + %JVM_CONFIG_MAVEN_PROPS% ^ + %MAVEN_OPTS% ^ + %MAVEN_DEBUG_OPTS% ^ + -classpath %WRAPPER_JAR% ^ + "-Dmaven.multiModuleProjectDirectory=%MAVEN_PROJECTBASEDIR%" ^ + %WRAPPER_LAUNCHER% %MAVEN_CONFIG% %* +if ERRORLEVEL 1 goto error +goto end + +:error +set ERROR_CODE=1 + +:end +@endlocal & set ERROR_CODE=%ERROR_CODE% + +if not "%MAVEN_SKIP_RC%"=="" goto skipRcPost +@REM check for post script, once with legacy .bat ending and once with .cmd ending +if exist "%USERPROFILE%\mavenrc_post.bat" call "%USERPROFILE%\mavenrc_post.bat" +if exist "%USERPROFILE%\mavenrc_post.cmd" call "%USERPROFILE%\mavenrc_post.cmd" +:skipRcPost + +@REM pause the script if MAVEN_BATCH_PAUSE is set to 'on' +if "%MAVEN_BATCH_PAUSE%"=="on" pause + +if "%MAVEN_TERMINATE_CMD%"=="on" exit %ERROR_CODE% + +cmd /C exit /B %ERROR_CODE% diff --git a/src/后端/node_modules/.bin/uuid b/src/后端/node_modules/.bin/uuid new file mode 100644 index 00000000..c3ec0035 --- /dev/null +++ b/src/后端/node_modules/.bin/uuid @@ -0,0 +1,12 @@ +#!/bin/sh +basedir=$(dirname "$(echo "$0" | sed -e 's,\\,/,g')") + +case `uname` in + *CYGWIN*|*MINGW*|*MSYS*) basedir=`cygpath -w "$basedir"`;; +esac + +if [ -x "$basedir/node" ]; then + exec "$basedir/node" "$basedir/../uuid/dist/bin/uuid" "$@" +else + exec node "$basedir/../uuid/dist/bin/uuid" "$@" +fi diff --git a/src/后端/node_modules/.bin/uuid.cmd b/src/后端/node_modules/.bin/uuid.cmd new file mode 100644 index 00000000..0f2376ea --- /dev/null +++ b/src/后端/node_modules/.bin/uuid.cmd @@ -0,0 +1,17 @@ +@ECHO off +GOTO start +:find_dp0 +SET dp0=%~dp0 +EXIT /b +:start +SETLOCAL +CALL :find_dp0 + +IF EXIST "%dp0%\node.exe" ( + SET "_prog=%dp0%\node.exe" +) ELSE ( + SET "_prog=node" + SET PATHEXT=%PATHEXT:;.JS;=;% +) + +endLocal & goto #_undefined_# 2>NUL || title %COMSPEC% & "%_prog%" "%dp0%\..\uuid\dist\bin\uuid" %* diff --git a/src/后端/node_modules/.bin/uuid.ps1 b/src/后端/node_modules/.bin/uuid.ps1 new file mode 100644 index 00000000..78046284 --- /dev/null +++ b/src/后端/node_modules/.bin/uuid.ps1 @@ -0,0 +1,28 @@ +#!/usr/bin/env pwsh +$basedir=Split-Path $MyInvocation.MyCommand.Definition -Parent + +$exe="" +if ($PSVersionTable.PSVersion -lt "6.0" -or $IsWindows) { + # Fix case when both the Windows and Linux builds of Node + # are installed in the same directory + $exe=".exe" +} +$ret=0 +if (Test-Path "$basedir/node$exe") { + # Support pipeline input + if ($MyInvocation.ExpectingInput) { + $input | & "$basedir/node$exe" "$basedir/../uuid/dist/bin/uuid" $args + } else { + & "$basedir/node$exe" "$basedir/../uuid/dist/bin/uuid" $args + } + $ret=$LASTEXITCODE +} else { + # Support pipeline input + if ($MyInvocation.ExpectingInput) { + $input | & "node$exe" "$basedir/../uuid/dist/bin/uuid" $args + } else { + & "node$exe" "$basedir/../uuid/dist/bin/uuid" $args + } + $ret=$LASTEXITCODE +} +exit $ret diff --git a/src/后端/node_modules/.package-lock.json b/src/后端/node_modules/.package-lock.json new file mode 100644 index 00000000..f90675d0 --- /dev/null +++ b/src/后端/node_modules/.package-lock.json @@ -0,0 +1,15 @@ +{ + "name": "demo", + "lockfileVersion": 2, + "requires": true, + "packages": { + "node_modules/uuid": { + "version": "9.0.0", + "resolved": "https://registry.npmjs.org/uuid/-/uuid-9.0.0.tgz", + "integrity": "sha512-MXcSTerfPa4uqyzStbRoTgt5XIe3x5+42+q1sDuy3R5MDk66URdLMOZe5aPX/SQd+kuYAh0FdP/pO28IkQyTeg==", + "bin": { + "uuid": "dist/bin/uuid" + } + } + } +} diff --git a/src/后端/node_modules/uuid/CHANGELOG.md b/src/后端/node_modules/uuid/CHANGELOG.md new file mode 100644 index 00000000..d4d3972c --- /dev/null +++ b/src/后端/node_modules/uuid/CHANGELOG.md @@ -0,0 +1,268 @@ +# Changelog + +All notable changes to this project will be documented in this file. See [standard-version](https://github.com/conventional-changelog/standard-version) for commit guidelines. + +## [9.0.0](https://github.com/uuidjs/uuid/compare/v8.3.2...v9.0.0) (2022-09-05) + +### ⚠ BREAKING CHANGES + +- Drop Node.js 10.x support. This library always aims at supporting one EOLed LTS release which by this time now is 12.x which has reached EOL 30 Apr 2022. + +- Remove the minified UMD build from the package. + + Minified code is hard to audit and since this is a widely used library it seems more appropriate nowadays to optimize for auditability than to ship a legacy module format that, at best, serves educational purposes nowadays. + + For production browser use cases, users should be using a bundler. For educational purposes, today's online sandboxes like replit.com offer convenient ways to load npm modules, so the use case for UMD through repos like UNPKG or jsDelivr has largely vanished. + +- Drop IE 11 and Safari 10 support. Drop support for browsers that don't correctly implement const/let and default arguments, and no longer transpile the browser build to ES2015. + + This also removes the fallback on msCrypto instead of the crypto API. + + Browser tests are run in the first supported version of each supported browser and in the latest (as of this commit) version available on Browserstack. + +### Features + +- optimize uuid.v1 by 1.3x uuid.v4 by 4.3x (430%) ([#597](https://github.com/uuidjs/uuid/issues/597)) ([3a033f6](https://github.com/uuidjs/uuid/commit/3a033f6bab6bb3780ece6d645b902548043280bc)) +- remove UMD build ([#645](https://github.com/uuidjs/uuid/issues/645)) ([e948a0f](https://github.com/uuidjs/uuid/commit/e948a0f22bf22f4619b27bd913885e478e20fe6f)), closes [#620](https://github.com/uuidjs/uuid/issues/620) +- use native crypto.randomUUID when available ([#600](https://github.com/uuidjs/uuid/issues/600)) ([c9e076c](https://github.com/uuidjs/uuid/commit/c9e076c852edad7e9a06baaa1d148cf4eda6c6c4)) + +### Bug Fixes + +- add Jest/jsdom compatibility ([#642](https://github.com/uuidjs/uuid/issues/642)) ([16f9c46](https://github.com/uuidjs/uuid/commit/16f9c469edf46f0786164cdf4dc980743984a6fd)) +- change default export to named function ([#545](https://github.com/uuidjs/uuid/issues/545)) ([c57bc5a](https://github.com/uuidjs/uuid/commit/c57bc5a9a0653273aa639cda9177ce52efabe42a)) +- handle error when parameter is not set in v3 and v5 ([#622](https://github.com/uuidjs/uuid/issues/622)) ([fcd7388](https://github.com/uuidjs/uuid/commit/fcd73881692d9fabb63872576ba28e30ff852091)) +- run npm audit fix ([#644](https://github.com/uuidjs/uuid/issues/644)) ([04686f5](https://github.com/uuidjs/uuid/commit/04686f54c5fed2cfffc1b619f4970c4bb8532353)) +- upgrading from uuid3 broken link ([#568](https://github.com/uuidjs/uuid/issues/568)) ([1c849da](https://github.com/uuidjs/uuid/commit/1c849da6e164259e72e18636726345b13a7eddd6)) + +### build + +- drop Node.js 8.x from babel transpile target ([#603](https://github.com/uuidjs/uuid/issues/603)) ([aa11485](https://github.com/uuidjs/uuid/commit/aa114858260402107ec8a1e1a825dea0a259bcb5)) +- drop support for legacy browsers (IE11, Safari 10) ([#604](https://github.com/uuidjs/uuid/issues/604)) ([0f433e5](https://github.com/uuidjs/uuid/commit/0f433e5ec444edacd53016de67db021102f36148)) + +- drop node 10.x to upgrade dev dependencies ([#653](https://github.com/uuidjs/uuid/issues/653)) ([28a5712](https://github.com/uuidjs/uuid/commit/28a571283f8abda6b9d85e689f95b7d3ee9e282e)), closes [#643](https://github.com/uuidjs/uuid/issues/643) + +### [8.3.2](https://github.com/uuidjs/uuid/compare/v8.3.1...v8.3.2) (2020-12-08) + +### Bug Fixes + +- lazy load getRandomValues ([#537](https://github.com/uuidjs/uuid/issues/537)) ([16c8f6d](https://github.com/uuidjs/uuid/commit/16c8f6df2f6b09b4d6235602d6a591188320a82e)), closes [#536](https://github.com/uuidjs/uuid/issues/536) + +### [8.3.1](https://github.com/uuidjs/uuid/compare/v8.3.0...v8.3.1) (2020-10-04) + +### Bug Fixes + +- support expo>=39.0.0 ([#515](https://github.com/uuidjs/uuid/issues/515)) ([c65a0f3](https://github.com/uuidjs/uuid/commit/c65a0f3fa73b901959d638d1e3591dfacdbed867)), closes [#375](https://github.com/uuidjs/uuid/issues/375) + +## [8.3.0](https://github.com/uuidjs/uuid/compare/v8.2.0...v8.3.0) (2020-07-27) + +### Features + +- add parse/stringify/validate/version/NIL APIs ([#479](https://github.com/uuidjs/uuid/issues/479)) ([0e6c10b](https://github.com/uuidjs/uuid/commit/0e6c10ba1bf9517796ff23c052fc0468eedfd5f4)), closes [#475](https://github.com/uuidjs/uuid/issues/475) [#478](https://github.com/uuidjs/uuid/issues/478) [#480](https://github.com/uuidjs/uuid/issues/480) [#481](https://github.com/uuidjs/uuid/issues/481) [#180](https://github.com/uuidjs/uuid/issues/180) + +## [8.2.0](https://github.com/uuidjs/uuid/compare/v8.1.0...v8.2.0) (2020-06-23) + +### Features + +- improve performance of v1 string representation ([#453](https://github.com/uuidjs/uuid/issues/453)) ([0ee0b67](https://github.com/uuidjs/uuid/commit/0ee0b67c37846529c66089880414d29f3ae132d5)) +- remove deprecated v4 string parameter ([#454](https://github.com/uuidjs/uuid/issues/454)) ([88ce3ca](https://github.com/uuidjs/uuid/commit/88ce3ca0ba046f60856de62c7ce03f7ba98ba46c)), closes [#437](https://github.com/uuidjs/uuid/issues/437) +- support jspm ([#473](https://github.com/uuidjs/uuid/issues/473)) ([e9f2587](https://github.com/uuidjs/uuid/commit/e9f2587a92575cac31bc1d4ae944e17c09756659)) + +### Bug Fixes + +- prepare package exports for webpack 5 ([#468](https://github.com/uuidjs/uuid/issues/468)) ([8d6e6a5](https://github.com/uuidjs/uuid/commit/8d6e6a5f8965ca9575eb4d92e99a43435f4a58a8)) + +## [8.1.0](https://github.com/uuidjs/uuid/compare/v8.0.0...v8.1.0) (2020-05-20) + +### Features + +- improve v4 performance by reusing random number array ([#435](https://github.com/uuidjs/uuid/issues/435)) ([bf4af0d](https://github.com/uuidjs/uuid/commit/bf4af0d711b4d2ed03d1f74fd12ad0baa87dc79d)) +- optimize V8 performance of bytesToUuid ([#434](https://github.com/uuidjs/uuid/issues/434)) ([e156415](https://github.com/uuidjs/uuid/commit/e156415448ec1af2351fa0b6660cfb22581971f2)) + +### Bug Fixes + +- export package.json required by react-native and bundlers ([#449](https://github.com/uuidjs/uuid/issues/449)) ([be1c8fe](https://github.com/uuidjs/uuid/commit/be1c8fe9a3206c358e0059b52fafd7213aa48a52)), closes [ai/nanoevents#44](https://github.com/ai/nanoevents/issues/44#issuecomment-602010343) [#444](https://github.com/uuidjs/uuid/issues/444) + +## [8.0.0](https://github.com/uuidjs/uuid/compare/v7.0.3...v8.0.0) (2020-04-29) + +### ⚠ BREAKING CHANGES + +- For native ECMAScript Module (ESM) usage in Node.js only named exports are exposed, there is no more default export. + + ```diff + -import uuid from 'uuid'; + -console.log(uuid.v4()); // -> 'cd6c3b08-0adc-4f4b-a6ef-36087a1c9869' + +import { v4 as uuidv4 } from 'uuid'; + +uuidv4(); // ⇨ '9b1deb4d-3b7d-4bad-9bdd-2b0d7b3dcb6d' + ``` + +- Deep requiring specific algorithms of this library like `require('uuid/v4')`, which has been deprecated in `uuid@7`, is no longer supported. + + Instead use the named exports that this module exports. + + For ECMAScript Modules (ESM): + + ```diff + -import uuidv4 from 'uuid/v4'; + +import { v4 as uuidv4 } from 'uuid'; + uuidv4(); + ``` + + For CommonJS: + + ```diff + -const uuidv4 = require('uuid/v4'); + +const { v4: uuidv4 } = require('uuid'); + uuidv4(); + ``` + +### Features + +- native Node.js ES Modules (wrapper approach) ([#423](https://github.com/uuidjs/uuid/issues/423)) ([2d9f590](https://github.com/uuidjs/uuid/commit/2d9f590ad9701d692625c07ed62f0a0f91227991)), closes [#245](https://github.com/uuidjs/uuid/issues/245) [#419](https://github.com/uuidjs/uuid/issues/419) [#342](https://github.com/uuidjs/uuid/issues/342) +- remove deep requires ([#426](https://github.com/uuidjs/uuid/issues/426)) ([daf72b8](https://github.com/uuidjs/uuid/commit/daf72b84ceb20272a81bb5fbddb05dd95922cbba)) + +### Bug Fixes + +- add CommonJS syntax example to README quickstart section ([#417](https://github.com/uuidjs/uuid/issues/417)) ([e0ec840](https://github.com/uuidjs/uuid/commit/e0ec8402c7ad44b7ef0453036c612f5db513fda0)) + +### [7.0.3](https://github.com/uuidjs/uuid/compare/v7.0.2...v7.0.3) (2020-03-31) + +### Bug Fixes + +- make deep require deprecation warning work in browsers ([#409](https://github.com/uuidjs/uuid/issues/409)) ([4b71107](https://github.com/uuidjs/uuid/commit/4b71107d8c0d2ef56861ede6403fc9dc35a1e6bf)), closes [#408](https://github.com/uuidjs/uuid/issues/408) + +### [7.0.2](https://github.com/uuidjs/uuid/compare/v7.0.1...v7.0.2) (2020-03-04) + +### Bug Fixes + +- make access to msCrypto consistent ([#393](https://github.com/uuidjs/uuid/issues/393)) ([8bf2a20](https://github.com/uuidjs/uuid/commit/8bf2a20f3565df743da7215eebdbada9d2df118c)) +- simplify link in deprecation warning ([#391](https://github.com/uuidjs/uuid/issues/391)) ([bb2c8e4](https://github.com/uuidjs/uuid/commit/bb2c8e4e9f4c5f9c1eaaf3ea59710c633cd90cb7)) +- update links to match content in readme ([#386](https://github.com/uuidjs/uuid/issues/386)) ([44f2f86](https://github.com/uuidjs/uuid/commit/44f2f86e9d2bbf14ee5f0f00f72a3db1292666d4)) + +### [7.0.1](https://github.com/uuidjs/uuid/compare/v7.0.0...v7.0.1) (2020-02-25) + +### Bug Fixes + +- clean up esm builds for node and browser ([#383](https://github.com/uuidjs/uuid/issues/383)) ([59e6a49](https://github.com/uuidjs/uuid/commit/59e6a49e7ce7b3e8fb0f3ee52b9daae72af467dc)) +- provide browser versions independent from module system ([#380](https://github.com/uuidjs/uuid/issues/380)) ([4344a22](https://github.com/uuidjs/uuid/commit/4344a22e7aed33be8627eeaaf05360f256a21753)), closes [#378](https://github.com/uuidjs/uuid/issues/378) + +## [7.0.0](https://github.com/uuidjs/uuid/compare/v3.4.0...v7.0.0) (2020-02-24) + +### ⚠ BREAKING CHANGES + +- The default export, which used to be the v4() method but which was already discouraged in v3.x of this library, has been removed. +- Explicitly note that deep imports of the different uuid version functions are deprecated and no longer encouraged and that ECMAScript module named imports should be used instead. Emit a deprecation warning for people who deep-require the different algorithm variants. +- Remove builtin support for insecure random number generators in the browser. Users who want that will have to supply their own random number generator function. +- Remove support for generating v3 and v5 UUIDs in Node.js<4.x +- Convert code base to ECMAScript Modules (ESM) and release CommonJS build for node and ESM build for browser bundlers. + +### Features + +- add UMD build to npm package ([#357](https://github.com/uuidjs/uuid/issues/357)) ([4e75adf](https://github.com/uuidjs/uuid/commit/4e75adf435196f28e3fbbe0185d654b5ded7ca2c)), closes [#345](https://github.com/uuidjs/uuid/issues/345) +- add various es module and CommonJS examples ([b238510](https://github.com/uuidjs/uuid/commit/b238510bf352463521f74bab175a3af9b7a42555)) +- ensure that docs are up-to-date in CI ([ee5e77d](https://github.com/uuidjs/uuid/commit/ee5e77db547474f5a8f23d6c857a6d399209986b)) +- hybrid CommonJS & ECMAScript modules build ([a3f078f](https://github.com/uuidjs/uuid/commit/a3f078faa0baff69ab41aed08e041f8f9c8993d0)) +- remove insecure fallback random number generator ([3a5842b](https://github.com/uuidjs/uuid/commit/3a5842b141a6e5de0ae338f391661e6b84b167c9)), closes [#173](https://github.com/uuidjs/uuid/issues/173) +- remove support for pre Node.js v4 Buffer API ([#356](https://github.com/uuidjs/uuid/issues/356)) ([b59b5c5](https://github.com/uuidjs/uuid/commit/b59b5c5ecad271c5453f1a156f011671f6d35627)) +- rename repository to github:uuidjs/uuid ([#351](https://github.com/uuidjs/uuid/issues/351)) ([c37a518](https://github.com/uuidjs/uuid/commit/c37a518e367ac4b6d0aa62dba1bc6ce9e85020f7)), closes [#338](https://github.com/uuidjs/uuid/issues/338) + +### Bug Fixes + +- add deep-require proxies for local testing and adjust tests ([#365](https://github.com/uuidjs/uuid/issues/365)) ([7fedc79](https://github.com/uuidjs/uuid/commit/7fedc79ac8fda4bfd1c566c7f05ef4ac13b2db48)) +- add note about removal of default export ([#372](https://github.com/uuidjs/uuid/issues/372)) ([12749b7](https://github.com/uuidjs/uuid/commit/12749b700eb49db8a9759fd306d8be05dbfbd58c)), closes [#370](https://github.com/uuidjs/uuid/issues/370) +- deprecated deep requiring of the different algorithm versions ([#361](https://github.com/uuidjs/uuid/issues/361)) ([c0bdf15](https://github.com/uuidjs/uuid/commit/c0bdf15e417639b1aeb0b247b2fb11f7a0a26b23)) + +## [3.4.0](https://github.com/uuidjs/uuid/compare/v3.3.3...v3.4.0) (2020-01-16) + +### Features + +- rename repository to github:uuidjs/uuid ([#351](https://github.com/uuidjs/uuid/issues/351)) ([e2d7314](https://github.com/uuidjs/uuid/commit/e2d7314)), closes [#338](https://github.com/uuidjs/uuid/issues/338) + +## [3.3.3](https://github.com/uuidjs/uuid/compare/v3.3.2...v3.3.3) (2019-08-19) + +### Bug Fixes + +- no longer run ci tests on node v4 +- upgrade dependencies + +## [3.3.2](https://github.com/uuidjs/uuid/compare/v3.3.1...v3.3.2) (2018-06-28) + +### Bug Fixes + +- typo ([305d877](https://github.com/uuidjs/uuid/commit/305d877)) + +## [3.3.1](https://github.com/uuidjs/uuid/compare/v3.3.0...v3.3.1) (2018-06-28) + +### Bug Fixes + +- fix [#284](https://github.com/uuidjs/uuid/issues/284) by setting function name in try-catch ([f2a60f2](https://github.com/uuidjs/uuid/commit/f2a60f2)) + +# [3.3.0](https://github.com/uuidjs/uuid/compare/v3.2.1...v3.3.0) (2018-06-22) + +### Bug Fixes + +- assignment to readonly property to allow running in strict mode ([#270](https://github.com/uuidjs/uuid/issues/270)) ([d062fdc](https://github.com/uuidjs/uuid/commit/d062fdc)) +- fix [#229](https://github.com/uuidjs/uuid/issues/229) ([c9684d4](https://github.com/uuidjs/uuid/commit/c9684d4)) +- Get correct version of IE11 crypto ([#274](https://github.com/uuidjs/uuid/issues/274)) ([153d331](https://github.com/uuidjs/uuid/commit/153d331)) +- mem issue when generating uuid ([#267](https://github.com/uuidjs/uuid/issues/267)) ([c47702c](https://github.com/uuidjs/uuid/commit/c47702c)) + +### Features + +- enforce Conventional Commit style commit messages ([#282](https://github.com/uuidjs/uuid/issues/282)) ([cc9a182](https://github.com/uuidjs/uuid/commit/cc9a182)) + +## [3.2.1](https://github.com/uuidjs/uuid/compare/v3.2.0...v3.2.1) (2018-01-16) + +### Bug Fixes + +- use msCrypto if available. Fixes [#241](https://github.com/uuidjs/uuid/issues/241) ([#247](https://github.com/uuidjs/uuid/issues/247)) ([1fef18b](https://github.com/uuidjs/uuid/commit/1fef18b)) + +# [3.2.0](https://github.com/uuidjs/uuid/compare/v3.1.0...v3.2.0) (2018-01-16) + +### Bug Fixes + +- remove mistakenly added typescript dependency, rollback version (standard-version will auto-increment) ([09fa824](https://github.com/uuidjs/uuid/commit/09fa824)) +- use msCrypto if available. Fixes [#241](https://github.com/uuidjs/uuid/issues/241) ([#247](https://github.com/uuidjs/uuid/issues/247)) ([1fef18b](https://github.com/uuidjs/uuid/commit/1fef18b)) + +### Features + +- Add v3 Support ([#217](https://github.com/uuidjs/uuid/issues/217)) ([d94f726](https://github.com/uuidjs/uuid/commit/d94f726)) + +# [3.1.0](https://github.com/uuidjs/uuid/compare/v3.1.0...v3.0.1) (2017-06-17) + +### Bug Fixes + +- (fix) Add .npmignore file to exclude test/ and other non-essential files from packing. (#183) +- Fix typo (#178) +- Simple typo fix (#165) + +### Features + +- v5 support in CLI (#197) +- V5 support (#188) + +# 3.0.1 (2016-11-28) + +- split uuid versions into separate files + +# 3.0.0 (2016-11-17) + +- remove .parse and .unparse + +# 2.0.0 + +- Removed uuid.BufferClass + +# 1.4.0 + +- Improved module context detection +- Removed public RNG functions + +# 1.3.2 + +- Improve tests and handling of v1() options (Issue #24) +- Expose RNG option to allow for perf testing with different generators + +# 1.3.0 + +- Support for version 1 ids, thanks to [@ctavan](https://github.com/ctavan)! +- Support for node.js crypto API +- De-emphasizing performance in favor of a) cryptographic quality PRNGs where available and b) more manageable code diff --git a/src/后端/node_modules/uuid/CONTRIBUTING.md b/src/后端/node_modules/uuid/CONTRIBUTING.md new file mode 100644 index 00000000..4a4503d0 --- /dev/null +++ b/src/后端/node_modules/uuid/CONTRIBUTING.md @@ -0,0 +1,18 @@ +# Contributing + +Please feel free to file GitHub Issues or propose Pull Requests. We're always happy to discuss improvements to this library! + +## Testing + +```shell +npm test +``` + +## Releasing + +Releases are supposed to be done from master, version bumping is automated through [`standard-version`](https://github.com/conventional-changelog/standard-version): + +```shell +npm run release -- --dry-run # verify output manually +npm run release # follow the instructions from the output of this command +``` diff --git a/src/后端/node_modules/uuid/LICENSE.md b/src/后端/node_modules/uuid/LICENSE.md new file mode 100644 index 00000000..39341683 --- /dev/null +++ b/src/后端/node_modules/uuid/LICENSE.md @@ -0,0 +1,9 @@ +The MIT License (MIT) + +Copyright (c) 2010-2020 Robert Kieffer and other contributors + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. diff --git a/src/后端/node_modules/uuid/README.md b/src/后端/node_modules/uuid/README.md new file mode 100644 index 00000000..c1fb9ac1 --- /dev/null +++ b/src/后端/node_modules/uuid/README.md @@ -0,0 +1,462 @@ + + +# uuid [![CI](https://github.com/uuidjs/uuid/workflows/CI/badge.svg)](https://github.com/uuidjs/uuid/actions?query=workflow%3ACI) [![Browser](https://github.com/uuidjs/uuid/workflows/Browser/badge.svg)](https://github.com/uuidjs/uuid/actions?query=workflow%3ABrowser) + +For the creation of [RFC4122](https://www.ietf.org/rfc/rfc4122.txt) UUIDs + +- **Complete** - Support for RFC4122 version 1, 3, 4, and 5 UUIDs +- **Cross-platform** - Support for ... + - CommonJS, [ECMAScript Modules](#ecmascript-modules) and [CDN builds](#cdn-builds) + - Node 12, 14, 16, 18 + - Chrome, Safari, Firefox, Edge browsers + - Webpack and rollup.js module bundlers + - [React Native / Expo](#react-native--expo) +- **Secure** - Cryptographically-strong random values +- **Small** - Zero-dependency, small footprint, plays nice with "tree shaking" packagers +- **CLI** - Includes the [`uuid` command line](#command-line) utility + +**Upgrading from `uuid@3`?** Your code is probably okay, but check out [Upgrading From `uuid@3`](#upgrading-from-uuid3) for details. + +## Quickstart + +To create a random UUID... + +**1. Install** + +```shell +npm install uuid +``` + +**2. Create a UUID** (ES6 module syntax) + +```javascript +import { v4 as uuidv4 } from 'uuid'; +uuidv4(); // ⇨ '9b1deb4d-3b7d-4bad-9bdd-2b0d7b3dcb6d' +``` + +... or using CommonJS syntax: + +```javascript +const { v4: uuidv4 } = require('uuid'); +uuidv4(); // ⇨ '1b9d6bcd-bbfd-4b2d-9b5d-ab8dfbbd4bed' +``` + +For timestamp UUIDs, namespace UUIDs, and other options read on ... + +## API Summary + +| | | | +| --- | --- | --- | +| [`uuid.NIL`](#uuidnil) | The nil UUID string (all zeros) | New in `uuid@8.3` | +| [`uuid.parse()`](#uuidparsestr) | Convert UUID string to array of bytes | New in `uuid@8.3` | +| [`uuid.stringify()`](#uuidstringifyarr-offset) | Convert array of bytes to UUID string | New in `uuid@8.3` | +| [`uuid.v1()`](#uuidv1options-buffer-offset) | Create a version 1 (timestamp) UUID | | +| [`uuid.v3()`](#uuidv3name-namespace-buffer-offset) | Create a version 3 (namespace w/ MD5) UUID | | +| [`uuid.v4()`](#uuidv4options-buffer-offset) | Create a version 4 (random) UUID | | +| [`uuid.v5()`](#uuidv5name-namespace-buffer-offset) | Create a version 5 (namespace w/ SHA-1) UUID | | +| [`uuid.validate()`](#uuidvalidatestr) | Test a string to see if it is a valid UUID | New in `uuid@8.3` | +| [`uuid.version()`](#uuidversionstr) | Detect RFC version of a UUID | New in `uuid@8.3` | + +## API + +### uuid.NIL + +The nil UUID string (all zeros). + +Example: + +```javascript +import { NIL as NIL_UUID } from 'uuid'; + +NIL_UUID; // ⇨ '00000000-0000-0000-0000-000000000000' +``` + +### uuid.parse(str) + +Convert UUID string to array of bytes + +| | | +| --------- | ---------------------------------------- | +| `str` | A valid UUID `String` | +| _returns_ | `Uint8Array[16]` | +| _throws_ | `TypeError` if `str` is not a valid UUID | + +Note: Ordering of values in the byte arrays used by `parse()` and `stringify()` follows the left ↠ right order of hex-pairs in UUID strings. As shown in the example below. + +Example: + +```javascript +import { parse as uuidParse } from 'uuid'; + +// Parse a UUID +const bytes = uuidParse('6ec0bd7f-11c0-43da-975e-2a8ad9ebae0b'); + +// Convert to hex strings to show byte order (for documentation purposes) +[...bytes].map((v) => v.toString(16).padStart(2, '0')); // ⇨ + // [ + // '6e', 'c0', 'bd', '7f', + // '11', 'c0', '43', 'da', + // '97', '5e', '2a', '8a', + // 'd9', 'eb', 'ae', '0b' + // ] +``` + +### uuid.stringify(arr[, offset]) + +Convert array of bytes to UUID string + +| | | +| -------------- | ---------------------------------------------------------------------------- | +| `arr` | `Array`-like collection of 16 values (starting from `offset`) between 0-255. | +| [`offset` = 0] | `Number` Starting index in the Array | +| _returns_ | `String` | +| _throws_ | `TypeError` if a valid UUID string cannot be generated | + +Note: Ordering of values in the byte arrays used by `parse()` and `stringify()` follows the left ↠ right order of hex-pairs in UUID strings. As shown in the example below. + +Example: + +```javascript +import { stringify as uuidStringify } from 'uuid'; + +const uuidBytes = [ + 0x6e, 0xc0, 0xbd, 0x7f, 0x11, 0xc0, 0x43, 0xda, 0x97, 0x5e, 0x2a, 0x8a, 0xd9, 0xeb, 0xae, 0x0b, +]; + +uuidStringify(uuidBytes); // ⇨ '6ec0bd7f-11c0-43da-975e-2a8ad9ebae0b' +``` + +### uuid.v1([options[, buffer[, offset]]]) + +Create an RFC version 1 (timestamp) UUID + +| | | +| --- | --- | +| [`options`] | `Object` with one or more of the following properties: | +| [`options.node` ] | RFC "node" field as an `Array[6]` of byte values (per 4.1.6) | +| [`options.clockseq`] | RFC "clock sequence" as a `Number` between 0 - 0x3fff | +| [`options.msecs`] | RFC "timestamp" field (`Number` of milliseconds, unix epoch) | +| [`options.nsecs`] | RFC "timestamp" field (`Number` of nanseconds to add to `msecs`, should be 0-10,000) | +| [`options.random`] | `Array` of 16 random bytes (0-255) | +| [`options.rng`] | Alternative to `options.random`, a `Function` that returns an `Array` of 16 random bytes (0-255) | +| [`buffer`] | `Array \| Buffer` If specified, uuid will be written here in byte-form, starting at `offset` | +| [`offset` = 0] | `Number` Index to start writing UUID bytes in `buffer` | +| _returns_ | UUID `String` if no `buffer` is specified, otherwise returns `buffer` | +| _throws_ | `Error` if more than 10M UUIDs/sec are requested | + +Note: The default [node id](https://tools.ietf.org/html/rfc4122#section-4.1.6) (the last 12 digits in the UUID) is generated once, randomly, on process startup, and then remains unchanged for the duration of the process. + +Note: `options.random` and `options.rng` are only meaningful on the very first call to `v1()`, where they may be passed to initialize the internal `node` and `clockseq` fields. + +Example: + +```javascript +import { v1 as uuidv1 } from 'uuid'; + +uuidv1(); // ⇨ '2c5ea4c0-4067-11e9-8bad-9b1deb4d3b7d' +``` + +Example using `options`: + +```javascript +import { v1 as uuidv1 } from 'uuid'; + +const v1options = { + node: [0x01, 0x23, 0x45, 0x67, 0x89, 0xab], + clockseq: 0x1234, + msecs: new Date('2011-11-01').getTime(), + nsecs: 5678, +}; +uuidv1(v1options); // ⇨ '710b962e-041c-11e1-9234-0123456789ab' +``` + +### uuid.v3(name, namespace[, buffer[, offset]]) + +Create an RFC version 3 (namespace w/ MD5) UUID + +API is identical to `v5()`, but uses "v3" instead. + +⚠️ Note: Per the RFC, "_If backward compatibility is not an issue, SHA-1 [Version 5] is preferred_." + +### uuid.v4([options[, buffer[, offset]]]) + +Create an RFC version 4 (random) UUID + +| | | +| --- | --- | +| [`options`] | `Object` with one or more of the following properties: | +| [`options.random`] | `Array` of 16 random bytes (0-255) | +| [`options.rng`] | Alternative to `options.random`, a `Function` that returns an `Array` of 16 random bytes (0-255) | +| [`buffer`] | `Array \| Buffer` If specified, uuid will be written here in byte-form, starting at `offset` | +| [`offset` = 0] | `Number` Index to start writing UUID bytes in `buffer` | +| _returns_ | UUID `String` if no `buffer` is specified, otherwise returns `buffer` | + +Example: + +```javascript +import { v4 as uuidv4 } from 'uuid'; + +uuidv4(); // ⇨ '1b9d6bcd-bbfd-4b2d-9b5d-ab8dfbbd4bed' +``` + +Example using predefined `random` values: + +```javascript +import { v4 as uuidv4 } from 'uuid'; + +const v4options = { + random: [ + 0x10, 0x91, 0x56, 0xbe, 0xc4, 0xfb, 0xc1, 0xea, 0x71, 0xb4, 0xef, 0xe1, 0x67, 0x1c, 0x58, 0x36, + ], +}; +uuidv4(v4options); // ⇨ '109156be-c4fb-41ea-b1b4-efe1671c5836' +``` + +### uuid.v5(name, namespace[, buffer[, offset]]) + +Create an RFC version 5 (namespace w/ SHA-1) UUID + +| | | +| --- | --- | +| `name` | `String \| Array` | +| `namespace` | `String \| Array[16]` Namespace UUID | +| [`buffer`] | `Array \| Buffer` If specified, uuid will be written here in byte-form, starting at `offset` | +| [`offset` = 0] | `Number` Index to start writing UUID bytes in `buffer` | +| _returns_ | UUID `String` if no `buffer` is specified, otherwise returns `buffer` | + +Note: The RFC `DNS` and `URL` namespaces are available as `v5.DNS` and `v5.URL`. + +Example with custom namespace: + +```javascript +import { v5 as uuidv5 } from 'uuid'; + +// Define a custom namespace. Readers, create your own using something like +// https://www.uuidgenerator.net/ +const MY_NAMESPACE = '1b671a64-40d5-491e-99b0-da01ff1f3341'; + +uuidv5('Hello, World!', MY_NAMESPACE); // ⇨ '630eb68f-e0fa-5ecc-887a-7c7a62614681' +``` + +Example with RFC `URL` namespace: + +```javascript +import { v5 as uuidv5 } from 'uuid'; + +uuidv5('https://www.w3.org/', uuidv5.URL); // ⇨ 'c106a26a-21bb-5538-8bf2-57095d1976c1' +``` + +### uuid.validate(str) + +Test a string to see if it is a valid UUID + +| | | +| --------- | --------------------------------------------------- | +| `str` | `String` to validate | +| _returns_ | `true` if string is a valid UUID, `false` otherwise | + +Example: + +```javascript +import { validate as uuidValidate } from 'uuid'; + +uuidValidate('not a UUID'); // ⇨ false +uuidValidate('6ec0bd7f-11c0-43da-975e-2a8ad9ebae0b'); // ⇨ true +``` + +Using `validate` and `version` together it is possible to do per-version validation, e.g. validate for only v4 UUIds. + +```javascript +import { version as uuidVersion } from 'uuid'; +import { validate as uuidValidate } from 'uuid'; + +function uuidValidateV4(uuid) { + return uuidValidate(uuid) && uuidVersion(uuid) === 4; +} + +const v1Uuid = 'd9428888-122b-11e1-b85c-61cd3cbb3210'; +const v4Uuid = '109156be-c4fb-41ea-b1b4-efe1671c5836'; + +uuidValidateV4(v4Uuid); // ⇨ true +uuidValidateV4(v1Uuid); // ⇨ false +``` + +### uuid.version(str) + +Detect RFC version of a UUID + +| | | +| --------- | ---------------------------------------- | +| `str` | A valid UUID `String` | +| _returns_ | `Number` The RFC version of the UUID | +| _throws_ | `TypeError` if `str` is not a valid UUID | + +Example: + +```javascript +import { version as uuidVersion } from 'uuid'; + +uuidVersion('45637ec4-c85f-11ea-87d0-0242ac130003'); // ⇨ 1 +uuidVersion('6ec0bd7f-11c0-43da-975e-2a8ad9ebae0b'); // ⇨ 4 +``` + +## Command Line + +UUIDs can be generated from the command line using `uuid`. + +```shell +$ npx uuid +ddeb27fb-d9a0-4624-be4d-4615062daed4 +``` + +The default is to generate version 4 UUIDS, however the other versions are supported. Type `uuid --help` for details: + +```shell +$ npx uuid --help + +Usage: + uuid + uuid v1 + uuid v3 + uuid v4 + uuid v5 + uuid --help + +Note: may be "URL" or "DNS" to use the corresponding UUIDs +defined by RFC4122 +``` + +## ECMAScript Modules + +This library comes with [ECMAScript Modules](https://www.ecma-international.org/ecma-262/6.0/#sec-modules) (ESM) support for Node.js versions that support it ([example](./examples/node-esmodules/)) as well as bundlers like [rollup.js](https://rollupjs.org/guide/en/#tree-shaking) ([example](./examples/browser-rollup/)) and [webpack](https://webpack.js.org/guides/tree-shaking/) ([example](./examples/browser-webpack/)) (targeting both, Node.js and browser environments). + +```javascript +import { v4 as uuidv4 } from 'uuid'; +uuidv4(); // ⇨ '1b9d6bcd-bbfd-4b2d-9b5d-ab8dfbbd4bed' +``` + +To run the examples you must first create a dist build of this library in the module root: + +```shell +npm run build +``` + +## CDN Builds + +### ECMAScript Modules + +To load this module directly into modern browsers that [support loading ECMAScript Modules](https://caniuse.com/#feat=es6-module) you can make use of [jspm](https://jspm.org/): + +```html + +``` + +### UMD + +As of `uuid@9` [UMD (Universal Module Definition)](https://github.com/umdjs/umd) builds are no longer shipped with this library. + +If you need a UMD build of this library, use a bundler like Webpack or Rollup. Alternatively, refer to the documentation of [`uuid@8.3.2`](https://github.com/uuidjs/uuid/blob/v8.3.2/README.md#umd) which was the last version that shipped UMD builds. + +## Known issues + +### Duplicate UUIDs (Googlebot) + +This module may generate duplicate UUIDs when run in clients with _deterministic_ random number generators, such as [Googlebot crawlers](https://developers.google.com/search/docs/advanced/crawling/overview-google-crawlers). This can cause problems for apps that expect client-generated UUIDs to always be unique. Developers should be prepared for this and have a strategy for dealing with possible collisions, such as: + +- Check for duplicate UUIDs, fail gracefully +- Disable write operations for Googlebot clients + +### "getRandomValues() not supported" + +This error occurs in environments where the standard [`crypto.getRandomValues()`](https://developer.mozilla.org/en-US/docs/Web/API/Crypto/getRandomValues) API is not supported. This issue can be resolved by adding an appropriate polyfill: + +### React Native / Expo + +1. Install [`react-native-get-random-values`](https://github.com/LinusU/react-native-get-random-values#readme) +1. Import it _before_ `uuid`. Since `uuid` might also appear as a transitive dependency of some other imports it's safest to just import `react-native-get-random-values` as the very first thing in your entry point: + +```javascript +import 'react-native-get-random-values'; +import { v4 as uuidv4 } from 'uuid'; +``` + +Note: If you are using Expo, you must be using at least `react-native-get-random-values@1.5.0` and `expo@39.0.0`. + +### Web Workers / Service Workers (Edge <= 18) + +[In Edge <= 18, Web Crypto is not supported in Web Workers or Service Workers](https://caniuse.com/#feat=cryptography) and we are not aware of a polyfill (let us know if you find one, please). + +### IE 11 (Internet Explorer) + +Support for IE11 and other legacy browsers has been dropped as of `uuid@9`. If you need to support legacy browsers, you can always transpile the uuid module source yourself (e.g. using [Babel](https://babeljs.io/)). + +## Upgrading From `uuid@7` + +### Only Named Exports Supported When Using with Node.js ESM + +`uuid@7` did not come with native ECMAScript Module (ESM) support for Node.js. Importing it in Node.js ESM consequently imported the CommonJS source with a default export. This library now comes with true Node.js ESM support and only provides named exports. + +Instead of doing: + +```javascript +import uuid from 'uuid'; +uuid.v4(); +``` + +you will now have to use the named exports: + +```javascript +import { v4 as uuidv4 } from 'uuid'; +uuidv4(); +``` + +### Deep Requires No Longer Supported + +Deep requires like `require('uuid/v4')` [which have been deprecated in `uuid@7`](#deep-requires-now-deprecated) are no longer supported. + +## Upgrading From `uuid@3` + +"_Wait... what happened to `uuid@4` thru `uuid@6`?!?_" + +In order to avoid confusion with RFC [version 4](#uuidv4options-buffer-offset) and [version 5](#uuidv5name-namespace-buffer-offset) UUIDs, and a possible [version 6](http://gh.peabody.io/uuidv6/), releases 4 thru 6 of this module have been skipped. + +### Deep Requires Now Deprecated + +`uuid@3` encouraged the use of deep requires to minimize the bundle size of browser builds: + +```javascript +const uuidv4 = require('uuid/v4'); // <== NOW DEPRECATED! +uuidv4(); +``` + +As of `uuid@7` this library now provides ECMAScript modules builds, which allow packagers like Webpack and Rollup to do "tree-shaking" to remove dead code. Instead, use the `import` syntax: + +```javascript +import { v4 as uuidv4 } from 'uuid'; +uuidv4(); +``` + +... or for CommonJS: + +```javascript +const { v4: uuidv4 } = require('uuid'); +uuidv4(); +``` + +### Default Export Removed + +`uuid@3` was exporting the Version 4 UUID method as a default export: + +```javascript +const uuid = require('uuid'); // <== REMOVED! +``` + +This usage pattern was already discouraged in `uuid@3` and has been removed in `uuid@7`. + +---- +Markdown generated from [README_js.md](README_js.md) by [![RunMD Logo](https://i.imgur.com/h0FVyzU.png)](https://github.com/broofa/runmd) \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/bin/uuid b/src/后端/node_modules/uuid/dist/bin/uuid new file mode 100644 index 00000000..f38d2ee1 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/bin/uuid @@ -0,0 +1,2 @@ +#!/usr/bin/env node +require('../uuid-bin'); diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/index.js b/src/后端/node_modules/uuid/dist/commonjs-browser/index.js new file mode 100644 index 00000000..5586dd3d --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/index.js @@ -0,0 +1,79 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "NIL", { + enumerable: true, + get: function get() { + return _nil.default; + } +}); +Object.defineProperty(exports, "parse", { + enumerable: true, + get: function get() { + return _parse.default; + } +}); +Object.defineProperty(exports, "stringify", { + enumerable: true, + get: function get() { + return _stringify.default; + } +}); +Object.defineProperty(exports, "v1", { + enumerable: true, + get: function get() { + return _v.default; + } +}); +Object.defineProperty(exports, "v3", { + enumerable: true, + get: function get() { + return _v2.default; + } +}); +Object.defineProperty(exports, "v4", { + enumerable: true, + get: function get() { + return _v3.default; + } +}); +Object.defineProperty(exports, "v5", { + enumerable: true, + get: function get() { + return _v4.default; + } +}); +Object.defineProperty(exports, "validate", { + enumerable: true, + get: function get() { + return _validate.default; + } +}); +Object.defineProperty(exports, "version", { + enumerable: true, + get: function get() { + return _version.default; + } +}); + +var _v = _interopRequireDefault(require("./v1.js")); + +var _v2 = _interopRequireDefault(require("./v3.js")); + +var _v3 = _interopRequireDefault(require("./v4.js")); + +var _v4 = _interopRequireDefault(require("./v5.js")); + +var _nil = _interopRequireDefault(require("./nil.js")); + +var _version = _interopRequireDefault(require("./version.js")); + +var _validate = _interopRequireDefault(require("./validate.js")); + +var _stringify = _interopRequireDefault(require("./stringify.js")); + +var _parse = _interopRequireDefault(require("./parse.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/md5.js b/src/后端/node_modules/uuid/dist/commonjs-browser/md5.js new file mode 100644 index 00000000..7a4582ac --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/md5.js @@ -0,0 +1,223 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +/* + * Browser-compatible JavaScript MD5 + * + * Modification of JavaScript MD5 + * https://github.com/blueimp/JavaScript-MD5 + * + * Copyright 2011, Sebastian Tschan + * https://blueimp.net + * + * Licensed under the MIT license: + * https://opensource.org/licenses/MIT + * + * Based on + * A JavaScript implementation of the RSA Data Security, Inc. MD5 Message + * Digest Algorithm, as defined in RFC 1321. + * Version 2.2 Copyright (C) Paul Johnston 1999 - 2009 + * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet + * Distributed under the BSD License + * See http://pajhome.org.uk/crypt/md5 for more info. + */ +function md5(bytes) { + if (typeof bytes === 'string') { + const msg = unescape(encodeURIComponent(bytes)); // UTF8 escape + + bytes = new Uint8Array(msg.length); + + for (let i = 0; i < msg.length; ++i) { + bytes[i] = msg.charCodeAt(i); + } + } + + return md5ToHexEncodedArray(wordsToMd5(bytesToWords(bytes), bytes.length * 8)); +} +/* + * Convert an array of little-endian words to an array of bytes + */ + + +function md5ToHexEncodedArray(input) { + const output = []; + const length32 = input.length * 32; + const hexTab = '0123456789abcdef'; + + for (let i = 0; i < length32; i += 8) { + const x = input[i >> 5] >>> i % 32 & 0xff; + const hex = parseInt(hexTab.charAt(x >>> 4 & 0x0f) + hexTab.charAt(x & 0x0f), 16); + output.push(hex); + } + + return output; +} +/** + * Calculate output length with padding and bit length + */ + + +function getOutputLength(inputLength8) { + return (inputLength8 + 64 >>> 9 << 4) + 14 + 1; +} +/* + * Calculate the MD5 of an array of little-endian words, and a bit length. + */ + + +function wordsToMd5(x, len) { + /* append padding */ + x[len >> 5] |= 0x80 << len % 32; + x[getOutputLength(len) - 1] = len; + let a = 1732584193; + let b = -271733879; + let c = -1732584194; + let d = 271733878; + + for (let i = 0; i < x.length; i += 16) { + const olda = a; + const oldb = b; + const oldc = c; + const oldd = d; + a = md5ff(a, b, c, d, x[i], 7, -680876936); + d = md5ff(d, a, b, c, x[i + 1], 12, -389564586); + c = md5ff(c, d, a, b, x[i + 2], 17, 606105819); + b = md5ff(b, c, d, a, x[i + 3], 22, -1044525330); + a = md5ff(a, b, c, d, x[i + 4], 7, -176418897); + d = md5ff(d, a, b, c, x[i + 5], 12, 1200080426); + c = md5ff(c, d, a, b, x[i + 6], 17, -1473231341); + b = md5ff(b, c, d, a, x[i + 7], 22, -45705983); + a = md5ff(a, b, c, d, x[i + 8], 7, 1770035416); + d = md5ff(d, a, b, c, x[i + 9], 12, -1958414417); + c = md5ff(c, d, a, b, x[i + 10], 17, -42063); + b = md5ff(b, c, d, a, x[i + 11], 22, -1990404162); + a = md5ff(a, b, c, d, x[i + 12], 7, 1804603682); + d = md5ff(d, a, b, c, x[i + 13], 12, -40341101); + c = md5ff(c, d, a, b, x[i + 14], 17, -1502002290); + b = md5ff(b, c, d, a, x[i + 15], 22, 1236535329); + a = md5gg(a, b, c, d, x[i + 1], 5, -165796510); + d = md5gg(d, a, b, c, x[i + 6], 9, -1069501632); + c = md5gg(c, d, a, b, x[i + 11], 14, 643717713); + b = md5gg(b, c, d, a, x[i], 20, -373897302); + a = md5gg(a, b, c, d, x[i + 5], 5, -701558691); + d = md5gg(d, a, b, c, x[i + 10], 9, 38016083); + c = md5gg(c, d, a, b, x[i + 15], 14, -660478335); + b = md5gg(b, c, d, a, x[i + 4], 20, -405537848); + a = md5gg(a, b, c, d, x[i + 9], 5, 568446438); + d = md5gg(d, a, b, c, x[i + 14], 9, -1019803690); + c = md5gg(c, d, a, b, x[i + 3], 14, -187363961); + b = md5gg(b, c, d, a, x[i + 8], 20, 1163531501); + a = md5gg(a, b, c, d, x[i + 13], 5, -1444681467); + d = md5gg(d, a, b, c, x[i + 2], 9, -51403784); + c = md5gg(c, d, a, b, x[i + 7], 14, 1735328473); + b = md5gg(b, c, d, a, x[i + 12], 20, -1926607734); + a = md5hh(a, b, c, d, x[i + 5], 4, -378558); + d = md5hh(d, a, b, c, x[i + 8], 11, -2022574463); + c = md5hh(c, d, a, b, x[i + 11], 16, 1839030562); + b = md5hh(b, c, d, a, x[i + 14], 23, -35309556); + a = md5hh(a, b, c, d, x[i + 1], 4, -1530992060); + d = md5hh(d, a, b, c, x[i + 4], 11, 1272893353); + c = md5hh(c, d, a, b, x[i + 7], 16, -155497632); + b = md5hh(b, c, d, a, x[i + 10], 23, -1094730640); + a = md5hh(a, b, c, d, x[i + 13], 4, 681279174); + d = md5hh(d, a, b, c, x[i], 11, -358537222); + c = md5hh(c, d, a, b, x[i + 3], 16, -722521979); + b = md5hh(b, c, d, a, x[i + 6], 23, 76029189); + a = md5hh(a, b, c, d, x[i + 9], 4, -640364487); + d = md5hh(d, a, b, c, x[i + 12], 11, -421815835); + c = md5hh(c, d, a, b, x[i + 15], 16, 530742520); + b = md5hh(b, c, d, a, x[i + 2], 23, -995338651); + a = md5ii(a, b, c, d, x[i], 6, -198630844); + d = md5ii(d, a, b, c, x[i + 7], 10, 1126891415); + c = md5ii(c, d, a, b, x[i + 14], 15, -1416354905); + b = md5ii(b, c, d, a, x[i + 5], 21, -57434055); + a = md5ii(a, b, c, d, x[i + 12], 6, 1700485571); + d = md5ii(d, a, b, c, x[i + 3], 10, -1894986606); + c = md5ii(c, d, a, b, x[i + 10], 15, -1051523); + b = md5ii(b, c, d, a, x[i + 1], 21, -2054922799); + a = md5ii(a, b, c, d, x[i + 8], 6, 1873313359); + d = md5ii(d, a, b, c, x[i + 15], 10, -30611744); + c = md5ii(c, d, a, b, x[i + 6], 15, -1560198380); + b = md5ii(b, c, d, a, x[i + 13], 21, 1309151649); + a = md5ii(a, b, c, d, x[i + 4], 6, -145523070); + d = md5ii(d, a, b, c, x[i + 11], 10, -1120210379); + c = md5ii(c, d, a, b, x[i + 2], 15, 718787259); + b = md5ii(b, c, d, a, x[i + 9], 21, -343485551); + a = safeAdd(a, olda); + b = safeAdd(b, oldb); + c = safeAdd(c, oldc); + d = safeAdd(d, oldd); + } + + return [a, b, c, d]; +} +/* + * Convert an array bytes to an array of little-endian words + * Characters >255 have their high-byte silently ignored. + */ + + +function bytesToWords(input) { + if (input.length === 0) { + return []; + } + + const length8 = input.length * 8; + const output = new Uint32Array(getOutputLength(length8)); + + for (let i = 0; i < length8; i += 8) { + output[i >> 5] |= (input[i / 8] & 0xff) << i % 32; + } + + return output; +} +/* + * Add integers, wrapping at 2^32. This uses 16-bit operations internally + * to work around bugs in some JS interpreters. + */ + + +function safeAdd(x, y) { + const lsw = (x & 0xffff) + (y & 0xffff); + const msw = (x >> 16) + (y >> 16) + (lsw >> 16); + return msw << 16 | lsw & 0xffff; +} +/* + * Bitwise rotate a 32-bit number to the left. + */ + + +function bitRotateLeft(num, cnt) { + return num << cnt | num >>> 32 - cnt; +} +/* + * These functions implement the four basic operations the algorithm uses. + */ + + +function md5cmn(q, a, b, x, s, t) { + return safeAdd(bitRotateLeft(safeAdd(safeAdd(a, q), safeAdd(x, t)), s), b); +} + +function md5ff(a, b, c, d, x, s, t) { + return md5cmn(b & c | ~b & d, a, b, x, s, t); +} + +function md5gg(a, b, c, d, x, s, t) { + return md5cmn(b & d | c & ~d, a, b, x, s, t); +} + +function md5hh(a, b, c, d, x, s, t) { + return md5cmn(b ^ c ^ d, a, b, x, s, t); +} + +function md5ii(a, b, c, d, x, s, t) { + return md5cmn(c ^ (b | ~d), a, b, x, s, t); +} + +var _default = md5; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/native.js b/src/后端/node_modules/uuid/dist/commonjs-browser/native.js new file mode 100644 index 00000000..c2eea59d --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/native.js @@ -0,0 +1,11 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; +const randomUUID = typeof crypto !== 'undefined' && crypto.randomUUID && crypto.randomUUID.bind(crypto); +var _default = { + randomUUID +}; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/nil.js b/src/后端/node_modules/uuid/dist/commonjs-browser/nil.js new file mode 100644 index 00000000..7ade577b --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/nil.js @@ -0,0 +1,8 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; +var _default = '00000000-0000-0000-0000-000000000000'; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/parse.js b/src/后端/node_modules/uuid/dist/commonjs-browser/parse.js new file mode 100644 index 00000000..4c69fc39 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/parse.js @@ -0,0 +1,45 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _validate = _interopRequireDefault(require("./validate.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function parse(uuid) { + if (!(0, _validate.default)(uuid)) { + throw TypeError('Invalid UUID'); + } + + let v; + const arr = new Uint8Array(16); // Parse ########-....-....-....-............ + + arr[0] = (v = parseInt(uuid.slice(0, 8), 16)) >>> 24; + arr[1] = v >>> 16 & 0xff; + arr[2] = v >>> 8 & 0xff; + arr[3] = v & 0xff; // Parse ........-####-....-....-............ + + arr[4] = (v = parseInt(uuid.slice(9, 13), 16)) >>> 8; + arr[5] = v & 0xff; // Parse ........-....-####-....-............ + + arr[6] = (v = parseInt(uuid.slice(14, 18), 16)) >>> 8; + arr[7] = v & 0xff; // Parse ........-....-....-####-............ + + arr[8] = (v = parseInt(uuid.slice(19, 23), 16)) >>> 8; + arr[9] = v & 0xff; // Parse ........-....-....-....-############ + // (Use "/" to avoid 32-bit truncation when bit-shifting high-order bytes) + + arr[10] = (v = parseInt(uuid.slice(24, 36), 16)) / 0x10000000000 & 0xff; + arr[11] = v / 0x100000000 & 0xff; + arr[12] = v >>> 24 & 0xff; + arr[13] = v >>> 16 & 0xff; + arr[14] = v >>> 8 & 0xff; + arr[15] = v & 0xff; + return arr; +} + +var _default = parse; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/regex.js b/src/后端/node_modules/uuid/dist/commonjs-browser/regex.js new file mode 100644 index 00000000..1ef91d64 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/regex.js @@ -0,0 +1,8 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; +var _default = /^(?:[0-9a-f]{8}-[0-9a-f]{4}-[1-5][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}|00000000-0000-0000-0000-000000000000)$/i; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/rng.js b/src/后端/node_modules/uuid/dist/commonjs-browser/rng.js new file mode 100644 index 00000000..d067cdb0 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/rng.js @@ -0,0 +1,25 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = rng; +// Unique ID creation requires a high quality random # generator. In the browser we therefore +// require the crypto API and do not support built-in fallback to lower quality random number +// generators (like Math.random()). +let getRandomValues; +const rnds8 = new Uint8Array(16); + +function rng() { + // lazy load so that environments that need to polyfill have a chance to do so + if (!getRandomValues) { + // getRandomValues needs to be invoked in a context where "this" is a Crypto implementation. + getRandomValues = typeof crypto !== 'undefined' && crypto.getRandomValues && crypto.getRandomValues.bind(crypto); + + if (!getRandomValues) { + throw new Error('crypto.getRandomValues() not supported. See https://github.com/uuidjs/uuid#getrandomvalues-not-supported'); + } + } + + return getRandomValues(rnds8); +} \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/sha1.js b/src/后端/node_modules/uuid/dist/commonjs-browser/sha1.js new file mode 100644 index 00000000..24cbcedc --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/sha1.js @@ -0,0 +1,104 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +// Adapted from Chris Veness' SHA1 code at +// http://www.movable-type.co.uk/scripts/sha1.html +function f(s, x, y, z) { + switch (s) { + case 0: + return x & y ^ ~x & z; + + case 1: + return x ^ y ^ z; + + case 2: + return x & y ^ x & z ^ y & z; + + case 3: + return x ^ y ^ z; + } +} + +function ROTL(x, n) { + return x << n | x >>> 32 - n; +} + +function sha1(bytes) { + const K = [0x5a827999, 0x6ed9eba1, 0x8f1bbcdc, 0xca62c1d6]; + const H = [0x67452301, 0xefcdab89, 0x98badcfe, 0x10325476, 0xc3d2e1f0]; + + if (typeof bytes === 'string') { + const msg = unescape(encodeURIComponent(bytes)); // UTF8 escape + + bytes = []; + + for (let i = 0; i < msg.length; ++i) { + bytes.push(msg.charCodeAt(i)); + } + } else if (!Array.isArray(bytes)) { + // Convert Array-like to Array + bytes = Array.prototype.slice.call(bytes); + } + + bytes.push(0x80); + const l = bytes.length / 4 + 2; + const N = Math.ceil(l / 16); + const M = new Array(N); + + for (let i = 0; i < N; ++i) { + const arr = new Uint32Array(16); + + for (let j = 0; j < 16; ++j) { + arr[j] = bytes[i * 64 + j * 4] << 24 | bytes[i * 64 + j * 4 + 1] << 16 | bytes[i * 64 + j * 4 + 2] << 8 | bytes[i * 64 + j * 4 + 3]; + } + + M[i] = arr; + } + + M[N - 1][14] = (bytes.length - 1) * 8 / Math.pow(2, 32); + M[N - 1][14] = Math.floor(M[N - 1][14]); + M[N - 1][15] = (bytes.length - 1) * 8 & 0xffffffff; + + for (let i = 0; i < N; ++i) { + const W = new Uint32Array(80); + + for (let t = 0; t < 16; ++t) { + W[t] = M[i][t]; + } + + for (let t = 16; t < 80; ++t) { + W[t] = ROTL(W[t - 3] ^ W[t - 8] ^ W[t - 14] ^ W[t - 16], 1); + } + + let a = H[0]; + let b = H[1]; + let c = H[2]; + let d = H[3]; + let e = H[4]; + + for (let t = 0; t < 80; ++t) { + const s = Math.floor(t / 20); + const T = ROTL(a, 5) + f(s, b, c, d) + e + K[s] + W[t] >>> 0; + e = d; + d = c; + c = ROTL(b, 30) >>> 0; + b = a; + a = T; + } + + H[0] = H[0] + a >>> 0; + H[1] = H[1] + b >>> 0; + H[2] = H[2] + c >>> 0; + H[3] = H[3] + d >>> 0; + H[4] = H[4] + e >>> 0; + } + + return [H[0] >> 24 & 0xff, H[0] >> 16 & 0xff, H[0] >> 8 & 0xff, H[0] & 0xff, H[1] >> 24 & 0xff, H[1] >> 16 & 0xff, H[1] >> 8 & 0xff, H[1] & 0xff, H[2] >> 24 & 0xff, H[2] >> 16 & 0xff, H[2] >> 8 & 0xff, H[2] & 0xff, H[3] >> 24 & 0xff, H[3] >> 16 & 0xff, H[3] >> 8 & 0xff, H[3] & 0xff, H[4] >> 24 & 0xff, H[4] >> 16 & 0xff, H[4] >> 8 & 0xff, H[4] & 0xff]; +} + +var _default = sha1; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/stringify.js b/src/后端/node_modules/uuid/dist/commonjs-browser/stringify.js new file mode 100644 index 00000000..bdcea1ce --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/stringify.js @@ -0,0 +1,44 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; +exports.unsafeStringify = unsafeStringify; + +var _validate = _interopRequireDefault(require("./validate.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +/** + * Convert array of 16 byte values to UUID string format of the form: + * XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX + */ +const byteToHex = []; + +for (let i = 0; i < 256; ++i) { + byteToHex.push((i + 0x100).toString(16).slice(1)); +} + +function unsafeStringify(arr, offset = 0) { + // Note: Be careful editing this code! It's been tuned for performance + // and works in ways you may not expect. See https://github.com/uuidjs/uuid/pull/434 + return (byteToHex[arr[offset + 0]] + byteToHex[arr[offset + 1]] + byteToHex[arr[offset + 2]] + byteToHex[arr[offset + 3]] + '-' + byteToHex[arr[offset + 4]] + byteToHex[arr[offset + 5]] + '-' + byteToHex[arr[offset + 6]] + byteToHex[arr[offset + 7]] + '-' + byteToHex[arr[offset + 8]] + byteToHex[arr[offset + 9]] + '-' + byteToHex[arr[offset + 10]] + byteToHex[arr[offset + 11]] + byteToHex[arr[offset + 12]] + byteToHex[arr[offset + 13]] + byteToHex[arr[offset + 14]] + byteToHex[arr[offset + 15]]).toLowerCase(); +} + +function stringify(arr, offset = 0) { + const uuid = unsafeStringify(arr, offset); // Consistency check for valid UUID. If this throws, it's likely due to one + // of the following: + // - One or more input array values don't map to a hex octet (leading to + // "undefined" in the uuid) + // - Invalid input values for the RFC `version` or `variant` fields + + if (!(0, _validate.default)(uuid)) { + throw TypeError('Stringified UUID is invalid'); + } + + return uuid; +} + +var _default = stringify; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/v1.js b/src/后端/node_modules/uuid/dist/commonjs-browser/v1.js new file mode 100644 index 00000000..125bc58f --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/v1.js @@ -0,0 +1,107 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _rng = _interopRequireDefault(require("./rng.js")); + +var _stringify = require("./stringify.js"); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +// **`v1()` - Generate time-based UUID** +// +// Inspired by https://github.com/LiosK/UUID.js +// and http://docs.python.org/library/uuid.html +let _nodeId; + +let _clockseq; // Previous uuid creation time + + +let _lastMSecs = 0; +let _lastNSecs = 0; // See https://github.com/uuidjs/uuid for API details + +function v1(options, buf, offset) { + let i = buf && offset || 0; + const b = buf || new Array(16); + options = options || {}; + let node = options.node || _nodeId; + let clockseq = options.clockseq !== undefined ? options.clockseq : _clockseq; // node and clockseq need to be initialized to random values if they're not + // specified. We do this lazily to minimize issues related to insufficient + // system entropy. See #189 + + if (node == null || clockseq == null) { + const seedBytes = options.random || (options.rng || _rng.default)(); + + if (node == null) { + // Per 4.5, create and 48-bit node id, (47 random bits + multicast bit = 1) + node = _nodeId = [seedBytes[0] | 0x01, seedBytes[1], seedBytes[2], seedBytes[3], seedBytes[4], seedBytes[5]]; + } + + if (clockseq == null) { + // Per 4.2.2, randomize (14 bit) clockseq + clockseq = _clockseq = (seedBytes[6] << 8 | seedBytes[7]) & 0x3fff; + } + } // UUID timestamps are 100 nano-second units since the Gregorian epoch, + // (1582-10-15 00:00). JSNumbers aren't precise enough for this, so + // time is handled internally as 'msecs' (integer milliseconds) and 'nsecs' + // (100-nanoseconds offset from msecs) since unix epoch, 1970-01-01 00:00. + + + let msecs = options.msecs !== undefined ? options.msecs : Date.now(); // Per 4.2.1.2, use count of uuid's generated during the current clock + // cycle to simulate higher resolution clock + + let nsecs = options.nsecs !== undefined ? options.nsecs : _lastNSecs + 1; // Time since last uuid creation (in msecs) + + const dt = msecs - _lastMSecs + (nsecs - _lastNSecs) / 10000; // Per 4.2.1.2, Bump clockseq on clock regression + + if (dt < 0 && options.clockseq === undefined) { + clockseq = clockseq + 1 & 0x3fff; + } // Reset nsecs if clock regresses (new clockseq) or we've moved onto a new + // time interval + + + if ((dt < 0 || msecs > _lastMSecs) && options.nsecs === undefined) { + nsecs = 0; + } // Per 4.2.1.2 Throw error if too many uuids are requested + + + if (nsecs >= 10000) { + throw new Error("uuid.v1(): Can't create more than 10M uuids/sec"); + } + + _lastMSecs = msecs; + _lastNSecs = nsecs; + _clockseq = clockseq; // Per 4.1.4 - Convert from unix epoch to Gregorian epoch + + msecs += 12219292800000; // `time_low` + + const tl = ((msecs & 0xfffffff) * 10000 + nsecs) % 0x100000000; + b[i++] = tl >>> 24 & 0xff; + b[i++] = tl >>> 16 & 0xff; + b[i++] = tl >>> 8 & 0xff; + b[i++] = tl & 0xff; // `time_mid` + + const tmh = msecs / 0x100000000 * 10000 & 0xfffffff; + b[i++] = tmh >>> 8 & 0xff; + b[i++] = tmh & 0xff; // `time_high_and_version` + + b[i++] = tmh >>> 24 & 0xf | 0x10; // include version + + b[i++] = tmh >>> 16 & 0xff; // `clock_seq_hi_and_reserved` (Per 4.2.2 - include variant) + + b[i++] = clockseq >>> 8 | 0x80; // `clock_seq_low` + + b[i++] = clockseq & 0xff; // `node` + + for (let n = 0; n < 6; ++n) { + b[i + n] = node[n]; + } + + return buf || (0, _stringify.unsafeStringify)(b); +} + +var _default = v1; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/v3.js b/src/后端/node_modules/uuid/dist/commonjs-browser/v3.js new file mode 100644 index 00000000..6b47ff51 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/v3.js @@ -0,0 +1,16 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _v = _interopRequireDefault(require("./v35.js")); + +var _md = _interopRequireDefault(require("./md5.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const v3 = (0, _v.default)('v3', 0x30, _md.default); +var _default = v3; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/v35.js b/src/后端/node_modules/uuid/dist/commonjs-browser/v35.js new file mode 100644 index 00000000..7c522d97 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/v35.js @@ -0,0 +1,80 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.URL = exports.DNS = void 0; +exports.default = v35; + +var _stringify = require("./stringify.js"); + +var _parse = _interopRequireDefault(require("./parse.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function stringToBytes(str) { + str = unescape(encodeURIComponent(str)); // UTF8 escape + + const bytes = []; + + for (let i = 0; i < str.length; ++i) { + bytes.push(str.charCodeAt(i)); + } + + return bytes; +} + +const DNS = '6ba7b810-9dad-11d1-80b4-00c04fd430c8'; +exports.DNS = DNS; +const URL = '6ba7b811-9dad-11d1-80b4-00c04fd430c8'; +exports.URL = URL; + +function v35(name, version, hashfunc) { + function generateUUID(value, namespace, buf, offset) { + var _namespace; + + if (typeof value === 'string') { + value = stringToBytes(value); + } + + if (typeof namespace === 'string') { + namespace = (0, _parse.default)(namespace); + } + + if (((_namespace = namespace) === null || _namespace === void 0 ? void 0 : _namespace.length) !== 16) { + throw TypeError('Namespace must be array-like (16 iterable integer values, 0-255)'); + } // Compute hash of namespace and value, Per 4.3 + // Future: Use spread syntax when supported on all platforms, e.g. `bytes = + // hashfunc([...namespace, ... value])` + + + let bytes = new Uint8Array(16 + value.length); + bytes.set(namespace); + bytes.set(value, namespace.length); + bytes = hashfunc(bytes); + bytes[6] = bytes[6] & 0x0f | version; + bytes[8] = bytes[8] & 0x3f | 0x80; + + if (buf) { + offset = offset || 0; + + for (let i = 0; i < 16; ++i) { + buf[offset + i] = bytes[i]; + } + + return buf; + } + + return (0, _stringify.unsafeStringify)(bytes); + } // Function#name is not settable on some platforms (#270) + + + try { + generateUUID.name = name; // eslint-disable-next-line no-empty + } catch (err) {} // For CommonJS default export support + + + generateUUID.DNS = DNS; + generateUUID.URL = URL; + return generateUUID; +} \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/v4.js b/src/后端/node_modules/uuid/dist/commonjs-browser/v4.js new file mode 100644 index 00000000..959d6986 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/v4.js @@ -0,0 +1,43 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _native = _interopRequireDefault(require("./native.js")); + +var _rng = _interopRequireDefault(require("./rng.js")); + +var _stringify = require("./stringify.js"); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function v4(options, buf, offset) { + if (_native.default.randomUUID && !buf && !options) { + return _native.default.randomUUID(); + } + + options = options || {}; + + const rnds = options.random || (options.rng || _rng.default)(); // Per 4.4, set bits for version and `clock_seq_hi_and_reserved` + + + rnds[6] = rnds[6] & 0x0f | 0x40; + rnds[8] = rnds[8] & 0x3f | 0x80; // Copy bytes to buffer, if provided + + if (buf) { + offset = offset || 0; + + for (let i = 0; i < 16; ++i) { + buf[offset + i] = rnds[i]; + } + + return buf; + } + + return (0, _stringify.unsafeStringify)(rnds); +} + +var _default = v4; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/v5.js b/src/后端/node_modules/uuid/dist/commonjs-browser/v5.js new file mode 100644 index 00000000..99d615e0 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/v5.js @@ -0,0 +1,16 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _v = _interopRequireDefault(require("./v35.js")); + +var _sha = _interopRequireDefault(require("./sha1.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const v5 = (0, _v.default)('v5', 0x50, _sha.default); +var _default = v5; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/validate.js b/src/后端/node_modules/uuid/dist/commonjs-browser/validate.js new file mode 100644 index 00000000..fd052157 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/validate.js @@ -0,0 +1,17 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _regex = _interopRequireDefault(require("./regex.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function validate(uuid) { + return typeof uuid === 'string' && _regex.default.test(uuid); +} + +var _default = validate; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/commonjs-browser/version.js b/src/后端/node_modules/uuid/dist/commonjs-browser/version.js new file mode 100644 index 00000000..f63af01a --- /dev/null +++ b/src/后端/node_modules/uuid/dist/commonjs-browser/version.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _validate = _interopRequireDefault(require("./validate.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function version(uuid) { + if (!(0, _validate.default)(uuid)) { + throw TypeError('Invalid UUID'); + } + + return parseInt(uuid.slice(14, 15), 16); +} + +var _default = version; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/index.js b/src/后端/node_modules/uuid/dist/esm-browser/index.js new file mode 100644 index 00000000..1db6f6d2 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/index.js @@ -0,0 +1,9 @@ +export { default as v1 } from './v1.js'; +export { default as v3 } from './v3.js'; +export { default as v4 } from './v4.js'; +export { default as v5 } from './v5.js'; +export { default as NIL } from './nil.js'; +export { default as version } from './version.js'; +export { default as validate } from './validate.js'; +export { default as stringify } from './stringify.js'; +export { default as parse } from './parse.js'; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/md5.js b/src/后端/node_modules/uuid/dist/esm-browser/md5.js new file mode 100644 index 00000000..f12212ea --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/md5.js @@ -0,0 +1,215 @@ +/* + * Browser-compatible JavaScript MD5 + * + * Modification of JavaScript MD5 + * https://github.com/blueimp/JavaScript-MD5 + * + * Copyright 2011, Sebastian Tschan + * https://blueimp.net + * + * Licensed under the MIT license: + * https://opensource.org/licenses/MIT + * + * Based on + * A JavaScript implementation of the RSA Data Security, Inc. MD5 Message + * Digest Algorithm, as defined in RFC 1321. + * Version 2.2 Copyright (C) Paul Johnston 1999 - 2009 + * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet + * Distributed under the BSD License + * See http://pajhome.org.uk/crypt/md5 for more info. + */ +function md5(bytes) { + if (typeof bytes === 'string') { + const msg = unescape(encodeURIComponent(bytes)); // UTF8 escape + + bytes = new Uint8Array(msg.length); + + for (let i = 0; i < msg.length; ++i) { + bytes[i] = msg.charCodeAt(i); + } + } + + return md5ToHexEncodedArray(wordsToMd5(bytesToWords(bytes), bytes.length * 8)); +} +/* + * Convert an array of little-endian words to an array of bytes + */ + + +function md5ToHexEncodedArray(input) { + const output = []; + const length32 = input.length * 32; + const hexTab = '0123456789abcdef'; + + for (let i = 0; i < length32; i += 8) { + const x = input[i >> 5] >>> i % 32 & 0xff; + const hex = parseInt(hexTab.charAt(x >>> 4 & 0x0f) + hexTab.charAt(x & 0x0f), 16); + output.push(hex); + } + + return output; +} +/** + * Calculate output length with padding and bit length + */ + + +function getOutputLength(inputLength8) { + return (inputLength8 + 64 >>> 9 << 4) + 14 + 1; +} +/* + * Calculate the MD5 of an array of little-endian words, and a bit length. + */ + + +function wordsToMd5(x, len) { + /* append padding */ + x[len >> 5] |= 0x80 << len % 32; + x[getOutputLength(len) - 1] = len; + let a = 1732584193; + let b = -271733879; + let c = -1732584194; + let d = 271733878; + + for (let i = 0; i < x.length; i += 16) { + const olda = a; + const oldb = b; + const oldc = c; + const oldd = d; + a = md5ff(a, b, c, d, x[i], 7, -680876936); + d = md5ff(d, a, b, c, x[i + 1], 12, -389564586); + c = md5ff(c, d, a, b, x[i + 2], 17, 606105819); + b = md5ff(b, c, d, a, x[i + 3], 22, -1044525330); + a = md5ff(a, b, c, d, x[i + 4], 7, -176418897); + d = md5ff(d, a, b, c, x[i + 5], 12, 1200080426); + c = md5ff(c, d, a, b, x[i + 6], 17, -1473231341); + b = md5ff(b, c, d, a, x[i + 7], 22, -45705983); + a = md5ff(a, b, c, d, x[i + 8], 7, 1770035416); + d = md5ff(d, a, b, c, x[i + 9], 12, -1958414417); + c = md5ff(c, d, a, b, x[i + 10], 17, -42063); + b = md5ff(b, c, d, a, x[i + 11], 22, -1990404162); + a = md5ff(a, b, c, d, x[i + 12], 7, 1804603682); + d = md5ff(d, a, b, c, x[i + 13], 12, -40341101); + c = md5ff(c, d, a, b, x[i + 14], 17, -1502002290); + b = md5ff(b, c, d, a, x[i + 15], 22, 1236535329); + a = md5gg(a, b, c, d, x[i + 1], 5, -165796510); + d = md5gg(d, a, b, c, x[i + 6], 9, -1069501632); + c = md5gg(c, d, a, b, x[i + 11], 14, 643717713); + b = md5gg(b, c, d, a, x[i], 20, -373897302); + a = md5gg(a, b, c, d, x[i + 5], 5, -701558691); + d = md5gg(d, a, b, c, x[i + 10], 9, 38016083); + c = md5gg(c, d, a, b, x[i + 15], 14, -660478335); + b = md5gg(b, c, d, a, x[i + 4], 20, -405537848); + a = md5gg(a, b, c, d, x[i + 9], 5, 568446438); + d = md5gg(d, a, b, c, x[i + 14], 9, -1019803690); + c = md5gg(c, d, a, b, x[i + 3], 14, -187363961); + b = md5gg(b, c, d, a, x[i + 8], 20, 1163531501); + a = md5gg(a, b, c, d, x[i + 13], 5, -1444681467); + d = md5gg(d, a, b, c, x[i + 2], 9, -51403784); + c = md5gg(c, d, a, b, x[i + 7], 14, 1735328473); + b = md5gg(b, c, d, a, x[i + 12], 20, -1926607734); + a = md5hh(a, b, c, d, x[i + 5], 4, -378558); + d = md5hh(d, a, b, c, x[i + 8], 11, -2022574463); + c = md5hh(c, d, a, b, x[i + 11], 16, 1839030562); + b = md5hh(b, c, d, a, x[i + 14], 23, -35309556); + a = md5hh(a, b, c, d, x[i + 1], 4, -1530992060); + d = md5hh(d, a, b, c, x[i + 4], 11, 1272893353); + c = md5hh(c, d, a, b, x[i + 7], 16, -155497632); + b = md5hh(b, c, d, a, x[i + 10], 23, -1094730640); + a = md5hh(a, b, c, d, x[i + 13], 4, 681279174); + d = md5hh(d, a, b, c, x[i], 11, -358537222); + c = md5hh(c, d, a, b, x[i + 3], 16, -722521979); + b = md5hh(b, c, d, a, x[i + 6], 23, 76029189); + a = md5hh(a, b, c, d, x[i + 9], 4, -640364487); + d = md5hh(d, a, b, c, x[i + 12], 11, -421815835); + c = md5hh(c, d, a, b, x[i + 15], 16, 530742520); + b = md5hh(b, c, d, a, x[i + 2], 23, -995338651); + a = md5ii(a, b, c, d, x[i], 6, -198630844); + d = md5ii(d, a, b, c, x[i + 7], 10, 1126891415); + c = md5ii(c, d, a, b, x[i + 14], 15, -1416354905); + b = md5ii(b, c, d, a, x[i + 5], 21, -57434055); + a = md5ii(a, b, c, d, x[i + 12], 6, 1700485571); + d = md5ii(d, a, b, c, x[i + 3], 10, -1894986606); + c = md5ii(c, d, a, b, x[i + 10], 15, -1051523); + b = md5ii(b, c, d, a, x[i + 1], 21, -2054922799); + a = md5ii(a, b, c, d, x[i + 8], 6, 1873313359); + d = md5ii(d, a, b, c, x[i + 15], 10, -30611744); + c = md5ii(c, d, a, b, x[i + 6], 15, -1560198380); + b = md5ii(b, c, d, a, x[i + 13], 21, 1309151649); + a = md5ii(a, b, c, d, x[i + 4], 6, -145523070); + d = md5ii(d, a, b, c, x[i + 11], 10, -1120210379); + c = md5ii(c, d, a, b, x[i + 2], 15, 718787259); + b = md5ii(b, c, d, a, x[i + 9], 21, -343485551); + a = safeAdd(a, olda); + b = safeAdd(b, oldb); + c = safeAdd(c, oldc); + d = safeAdd(d, oldd); + } + + return [a, b, c, d]; +} +/* + * Convert an array bytes to an array of little-endian words + * Characters >255 have their high-byte silently ignored. + */ + + +function bytesToWords(input) { + if (input.length === 0) { + return []; + } + + const length8 = input.length * 8; + const output = new Uint32Array(getOutputLength(length8)); + + for (let i = 0; i < length8; i += 8) { + output[i >> 5] |= (input[i / 8] & 0xff) << i % 32; + } + + return output; +} +/* + * Add integers, wrapping at 2^32. This uses 16-bit operations internally + * to work around bugs in some JS interpreters. + */ + + +function safeAdd(x, y) { + const lsw = (x & 0xffff) + (y & 0xffff); + const msw = (x >> 16) + (y >> 16) + (lsw >> 16); + return msw << 16 | lsw & 0xffff; +} +/* + * Bitwise rotate a 32-bit number to the left. + */ + + +function bitRotateLeft(num, cnt) { + return num << cnt | num >>> 32 - cnt; +} +/* + * These functions implement the four basic operations the algorithm uses. + */ + + +function md5cmn(q, a, b, x, s, t) { + return safeAdd(bitRotateLeft(safeAdd(safeAdd(a, q), safeAdd(x, t)), s), b); +} + +function md5ff(a, b, c, d, x, s, t) { + return md5cmn(b & c | ~b & d, a, b, x, s, t); +} + +function md5gg(a, b, c, d, x, s, t) { + return md5cmn(b & d | c & ~d, a, b, x, s, t); +} + +function md5hh(a, b, c, d, x, s, t) { + return md5cmn(b ^ c ^ d, a, b, x, s, t); +} + +function md5ii(a, b, c, d, x, s, t) { + return md5cmn(c ^ (b | ~d), a, b, x, s, t); +} + +export default md5; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/native.js b/src/后端/node_modules/uuid/dist/esm-browser/native.js new file mode 100644 index 00000000..b22292cd --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/native.js @@ -0,0 +1,4 @@ +const randomUUID = typeof crypto !== 'undefined' && crypto.randomUUID && crypto.randomUUID.bind(crypto); +export default { + randomUUID +}; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/nil.js b/src/后端/node_modules/uuid/dist/esm-browser/nil.js new file mode 100644 index 00000000..b36324c2 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/nil.js @@ -0,0 +1 @@ +export default '00000000-0000-0000-0000-000000000000'; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/parse.js b/src/后端/node_modules/uuid/dist/esm-browser/parse.js new file mode 100644 index 00000000..6421c5d5 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/parse.js @@ -0,0 +1,35 @@ +import validate from './validate.js'; + +function parse(uuid) { + if (!validate(uuid)) { + throw TypeError('Invalid UUID'); + } + + let v; + const arr = new Uint8Array(16); // Parse ########-....-....-....-............ + + arr[0] = (v = parseInt(uuid.slice(0, 8), 16)) >>> 24; + arr[1] = v >>> 16 & 0xff; + arr[2] = v >>> 8 & 0xff; + arr[3] = v & 0xff; // Parse ........-####-....-....-............ + + arr[4] = (v = parseInt(uuid.slice(9, 13), 16)) >>> 8; + arr[5] = v & 0xff; // Parse ........-....-####-....-............ + + arr[6] = (v = parseInt(uuid.slice(14, 18), 16)) >>> 8; + arr[7] = v & 0xff; // Parse ........-....-....-####-............ + + arr[8] = (v = parseInt(uuid.slice(19, 23), 16)) >>> 8; + arr[9] = v & 0xff; // Parse ........-....-....-....-############ + // (Use "/" to avoid 32-bit truncation when bit-shifting high-order bytes) + + arr[10] = (v = parseInt(uuid.slice(24, 36), 16)) / 0x10000000000 & 0xff; + arr[11] = v / 0x100000000 & 0xff; + arr[12] = v >>> 24 & 0xff; + arr[13] = v >>> 16 & 0xff; + arr[14] = v >>> 8 & 0xff; + arr[15] = v & 0xff; + return arr; +} + +export default parse; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/regex.js b/src/后端/node_modules/uuid/dist/esm-browser/regex.js new file mode 100644 index 00000000..3da8673a --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/regex.js @@ -0,0 +1 @@ +export default /^(?:[0-9a-f]{8}-[0-9a-f]{4}-[1-5][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}|00000000-0000-0000-0000-000000000000)$/i; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/rng.js b/src/后端/node_modules/uuid/dist/esm-browser/rng.js new file mode 100644 index 00000000..6e652346 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/rng.js @@ -0,0 +1,18 @@ +// Unique ID creation requires a high quality random # generator. In the browser we therefore +// require the crypto API and do not support built-in fallback to lower quality random number +// generators (like Math.random()). +let getRandomValues; +const rnds8 = new Uint8Array(16); +export default function rng() { + // lazy load so that environments that need to polyfill have a chance to do so + if (!getRandomValues) { + // getRandomValues needs to be invoked in a context where "this" is a Crypto implementation. + getRandomValues = typeof crypto !== 'undefined' && crypto.getRandomValues && crypto.getRandomValues.bind(crypto); + + if (!getRandomValues) { + throw new Error('crypto.getRandomValues() not supported. See https://github.com/uuidjs/uuid#getrandomvalues-not-supported'); + } + } + + return getRandomValues(rnds8); +} \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/sha1.js b/src/后端/node_modules/uuid/dist/esm-browser/sha1.js new file mode 100644 index 00000000..d3c25659 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/sha1.js @@ -0,0 +1,96 @@ +// Adapted from Chris Veness' SHA1 code at +// http://www.movable-type.co.uk/scripts/sha1.html +function f(s, x, y, z) { + switch (s) { + case 0: + return x & y ^ ~x & z; + + case 1: + return x ^ y ^ z; + + case 2: + return x & y ^ x & z ^ y & z; + + case 3: + return x ^ y ^ z; + } +} + +function ROTL(x, n) { + return x << n | x >>> 32 - n; +} + +function sha1(bytes) { + const K = [0x5a827999, 0x6ed9eba1, 0x8f1bbcdc, 0xca62c1d6]; + const H = [0x67452301, 0xefcdab89, 0x98badcfe, 0x10325476, 0xc3d2e1f0]; + + if (typeof bytes === 'string') { + const msg = unescape(encodeURIComponent(bytes)); // UTF8 escape + + bytes = []; + + for (let i = 0; i < msg.length; ++i) { + bytes.push(msg.charCodeAt(i)); + } + } else if (!Array.isArray(bytes)) { + // Convert Array-like to Array + bytes = Array.prototype.slice.call(bytes); + } + + bytes.push(0x80); + const l = bytes.length / 4 + 2; + const N = Math.ceil(l / 16); + const M = new Array(N); + + for (let i = 0; i < N; ++i) { + const arr = new Uint32Array(16); + + for (let j = 0; j < 16; ++j) { + arr[j] = bytes[i * 64 + j * 4] << 24 | bytes[i * 64 + j * 4 + 1] << 16 | bytes[i * 64 + j * 4 + 2] << 8 | bytes[i * 64 + j * 4 + 3]; + } + + M[i] = arr; + } + + M[N - 1][14] = (bytes.length - 1) * 8 / Math.pow(2, 32); + M[N - 1][14] = Math.floor(M[N - 1][14]); + M[N - 1][15] = (bytes.length - 1) * 8 & 0xffffffff; + + for (let i = 0; i < N; ++i) { + const W = new Uint32Array(80); + + for (let t = 0; t < 16; ++t) { + W[t] = M[i][t]; + } + + for (let t = 16; t < 80; ++t) { + W[t] = ROTL(W[t - 3] ^ W[t - 8] ^ W[t - 14] ^ W[t - 16], 1); + } + + let a = H[0]; + let b = H[1]; + let c = H[2]; + let d = H[3]; + let e = H[4]; + + for (let t = 0; t < 80; ++t) { + const s = Math.floor(t / 20); + const T = ROTL(a, 5) + f(s, b, c, d) + e + K[s] + W[t] >>> 0; + e = d; + d = c; + c = ROTL(b, 30) >>> 0; + b = a; + a = T; + } + + H[0] = H[0] + a >>> 0; + H[1] = H[1] + b >>> 0; + H[2] = H[2] + c >>> 0; + H[3] = H[3] + d >>> 0; + H[4] = H[4] + e >>> 0; + } + + return [H[0] >> 24 & 0xff, H[0] >> 16 & 0xff, H[0] >> 8 & 0xff, H[0] & 0xff, H[1] >> 24 & 0xff, H[1] >> 16 & 0xff, H[1] >> 8 & 0xff, H[1] & 0xff, H[2] >> 24 & 0xff, H[2] >> 16 & 0xff, H[2] >> 8 & 0xff, H[2] & 0xff, H[3] >> 24 & 0xff, H[3] >> 16 & 0xff, H[3] >> 8 & 0xff, H[3] & 0xff, H[4] >> 24 & 0xff, H[4] >> 16 & 0xff, H[4] >> 8 & 0xff, H[4] & 0xff]; +} + +export default sha1; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/stringify.js b/src/后端/node_modules/uuid/dist/esm-browser/stringify.js new file mode 100644 index 00000000..80fac8a6 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/stringify.js @@ -0,0 +1,33 @@ +import validate from './validate.js'; +/** + * Convert array of 16 byte values to UUID string format of the form: + * XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX + */ + +const byteToHex = []; + +for (let i = 0; i < 256; ++i) { + byteToHex.push((i + 0x100).toString(16).slice(1)); +} + +export function unsafeStringify(arr, offset = 0) { + // Note: Be careful editing this code! It's been tuned for performance + // and works in ways you may not expect. See https://github.com/uuidjs/uuid/pull/434 + return (byteToHex[arr[offset + 0]] + byteToHex[arr[offset + 1]] + byteToHex[arr[offset + 2]] + byteToHex[arr[offset + 3]] + '-' + byteToHex[arr[offset + 4]] + byteToHex[arr[offset + 5]] + '-' + byteToHex[arr[offset + 6]] + byteToHex[arr[offset + 7]] + '-' + byteToHex[arr[offset + 8]] + byteToHex[arr[offset + 9]] + '-' + byteToHex[arr[offset + 10]] + byteToHex[arr[offset + 11]] + byteToHex[arr[offset + 12]] + byteToHex[arr[offset + 13]] + byteToHex[arr[offset + 14]] + byteToHex[arr[offset + 15]]).toLowerCase(); +} + +function stringify(arr, offset = 0) { + const uuid = unsafeStringify(arr, offset); // Consistency check for valid UUID. If this throws, it's likely due to one + // of the following: + // - One or more input array values don't map to a hex octet (leading to + // "undefined" in the uuid) + // - Invalid input values for the RFC `version` or `variant` fields + + if (!validate(uuid)) { + throw TypeError('Stringified UUID is invalid'); + } + + return uuid; +} + +export default stringify; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/v1.js b/src/后端/node_modules/uuid/dist/esm-browser/v1.js new file mode 100644 index 00000000..382e5d79 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/v1.js @@ -0,0 +1,95 @@ +import rng from './rng.js'; +import { unsafeStringify } from './stringify.js'; // **`v1()` - Generate time-based UUID** +// +// Inspired by https://github.com/LiosK/UUID.js +// and http://docs.python.org/library/uuid.html + +let _nodeId; + +let _clockseq; // Previous uuid creation time + + +let _lastMSecs = 0; +let _lastNSecs = 0; // See https://github.com/uuidjs/uuid for API details + +function v1(options, buf, offset) { + let i = buf && offset || 0; + const b = buf || new Array(16); + options = options || {}; + let node = options.node || _nodeId; + let clockseq = options.clockseq !== undefined ? options.clockseq : _clockseq; // node and clockseq need to be initialized to random values if they're not + // specified. We do this lazily to minimize issues related to insufficient + // system entropy. See #189 + + if (node == null || clockseq == null) { + const seedBytes = options.random || (options.rng || rng)(); + + if (node == null) { + // Per 4.5, create and 48-bit node id, (47 random bits + multicast bit = 1) + node = _nodeId = [seedBytes[0] | 0x01, seedBytes[1], seedBytes[2], seedBytes[3], seedBytes[4], seedBytes[5]]; + } + + if (clockseq == null) { + // Per 4.2.2, randomize (14 bit) clockseq + clockseq = _clockseq = (seedBytes[6] << 8 | seedBytes[7]) & 0x3fff; + } + } // UUID timestamps are 100 nano-second units since the Gregorian epoch, + // (1582-10-15 00:00). JSNumbers aren't precise enough for this, so + // time is handled internally as 'msecs' (integer milliseconds) and 'nsecs' + // (100-nanoseconds offset from msecs) since unix epoch, 1970-01-01 00:00. + + + let msecs = options.msecs !== undefined ? options.msecs : Date.now(); // Per 4.2.1.2, use count of uuid's generated during the current clock + // cycle to simulate higher resolution clock + + let nsecs = options.nsecs !== undefined ? options.nsecs : _lastNSecs + 1; // Time since last uuid creation (in msecs) + + const dt = msecs - _lastMSecs + (nsecs - _lastNSecs) / 10000; // Per 4.2.1.2, Bump clockseq on clock regression + + if (dt < 0 && options.clockseq === undefined) { + clockseq = clockseq + 1 & 0x3fff; + } // Reset nsecs if clock regresses (new clockseq) or we've moved onto a new + // time interval + + + if ((dt < 0 || msecs > _lastMSecs) && options.nsecs === undefined) { + nsecs = 0; + } // Per 4.2.1.2 Throw error if too many uuids are requested + + + if (nsecs >= 10000) { + throw new Error("uuid.v1(): Can't create more than 10M uuids/sec"); + } + + _lastMSecs = msecs; + _lastNSecs = nsecs; + _clockseq = clockseq; // Per 4.1.4 - Convert from unix epoch to Gregorian epoch + + msecs += 12219292800000; // `time_low` + + const tl = ((msecs & 0xfffffff) * 10000 + nsecs) % 0x100000000; + b[i++] = tl >>> 24 & 0xff; + b[i++] = tl >>> 16 & 0xff; + b[i++] = tl >>> 8 & 0xff; + b[i++] = tl & 0xff; // `time_mid` + + const tmh = msecs / 0x100000000 * 10000 & 0xfffffff; + b[i++] = tmh >>> 8 & 0xff; + b[i++] = tmh & 0xff; // `time_high_and_version` + + b[i++] = tmh >>> 24 & 0xf | 0x10; // include version + + b[i++] = tmh >>> 16 & 0xff; // `clock_seq_hi_and_reserved` (Per 4.2.2 - include variant) + + b[i++] = clockseq >>> 8 | 0x80; // `clock_seq_low` + + b[i++] = clockseq & 0xff; // `node` + + for (let n = 0; n < 6; ++n) { + b[i + n] = node[n]; + } + + return buf || unsafeStringify(b); +} + +export default v1; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/v3.js b/src/后端/node_modules/uuid/dist/esm-browser/v3.js new file mode 100644 index 00000000..09063b86 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/v3.js @@ -0,0 +1,4 @@ +import v35 from './v35.js'; +import md5 from './md5.js'; +const v3 = v35('v3', 0x30, md5); +export default v3; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/v35.js b/src/后端/node_modules/uuid/dist/esm-browser/v35.js new file mode 100644 index 00000000..3355e1f5 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/v35.js @@ -0,0 +1,66 @@ +import { unsafeStringify } from './stringify.js'; +import parse from './parse.js'; + +function stringToBytes(str) { + str = unescape(encodeURIComponent(str)); // UTF8 escape + + const bytes = []; + + for (let i = 0; i < str.length; ++i) { + bytes.push(str.charCodeAt(i)); + } + + return bytes; +} + +export const DNS = '6ba7b810-9dad-11d1-80b4-00c04fd430c8'; +export const URL = '6ba7b811-9dad-11d1-80b4-00c04fd430c8'; +export default function v35(name, version, hashfunc) { + function generateUUID(value, namespace, buf, offset) { + var _namespace; + + if (typeof value === 'string') { + value = stringToBytes(value); + } + + if (typeof namespace === 'string') { + namespace = parse(namespace); + } + + if (((_namespace = namespace) === null || _namespace === void 0 ? void 0 : _namespace.length) !== 16) { + throw TypeError('Namespace must be array-like (16 iterable integer values, 0-255)'); + } // Compute hash of namespace and value, Per 4.3 + // Future: Use spread syntax when supported on all platforms, e.g. `bytes = + // hashfunc([...namespace, ... value])` + + + let bytes = new Uint8Array(16 + value.length); + bytes.set(namespace); + bytes.set(value, namespace.length); + bytes = hashfunc(bytes); + bytes[6] = bytes[6] & 0x0f | version; + bytes[8] = bytes[8] & 0x3f | 0x80; + + if (buf) { + offset = offset || 0; + + for (let i = 0; i < 16; ++i) { + buf[offset + i] = bytes[i]; + } + + return buf; + } + + return unsafeStringify(bytes); + } // Function#name is not settable on some platforms (#270) + + + try { + generateUUID.name = name; // eslint-disable-next-line no-empty + } catch (err) {} // For CommonJS default export support + + + generateUUID.DNS = DNS; + generateUUID.URL = URL; + return generateUUID; +} \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/v4.js b/src/后端/node_modules/uuid/dist/esm-browser/v4.js new file mode 100644 index 00000000..95ea8799 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/v4.js @@ -0,0 +1,29 @@ +import native from './native.js'; +import rng from './rng.js'; +import { unsafeStringify } from './stringify.js'; + +function v4(options, buf, offset) { + if (native.randomUUID && !buf && !options) { + return native.randomUUID(); + } + + options = options || {}; + const rnds = options.random || (options.rng || rng)(); // Per 4.4, set bits for version and `clock_seq_hi_and_reserved` + + rnds[6] = rnds[6] & 0x0f | 0x40; + rnds[8] = rnds[8] & 0x3f | 0x80; // Copy bytes to buffer, if provided + + if (buf) { + offset = offset || 0; + + for (let i = 0; i < 16; ++i) { + buf[offset + i] = rnds[i]; + } + + return buf; + } + + return unsafeStringify(rnds); +} + +export default v4; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/v5.js b/src/后端/node_modules/uuid/dist/esm-browser/v5.js new file mode 100644 index 00000000..e87fe317 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/v5.js @@ -0,0 +1,4 @@ +import v35 from './v35.js'; +import sha1 from './sha1.js'; +const v5 = v35('v5', 0x50, sha1); +export default v5; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/validate.js b/src/后端/node_modules/uuid/dist/esm-browser/validate.js new file mode 100644 index 00000000..f1cdc7af --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/validate.js @@ -0,0 +1,7 @@ +import REGEX from './regex.js'; + +function validate(uuid) { + return typeof uuid === 'string' && REGEX.test(uuid); +} + +export default validate; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-browser/version.js b/src/后端/node_modules/uuid/dist/esm-browser/version.js new file mode 100644 index 00000000..93630763 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-browser/version.js @@ -0,0 +1,11 @@ +import validate from './validate.js'; + +function version(uuid) { + if (!validate(uuid)) { + throw TypeError('Invalid UUID'); + } + + return parseInt(uuid.slice(14, 15), 16); +} + +export default version; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/index.js b/src/后端/node_modules/uuid/dist/esm-node/index.js new file mode 100644 index 00000000..1db6f6d2 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/index.js @@ -0,0 +1,9 @@ +export { default as v1 } from './v1.js'; +export { default as v3 } from './v3.js'; +export { default as v4 } from './v4.js'; +export { default as v5 } from './v5.js'; +export { default as NIL } from './nil.js'; +export { default as version } from './version.js'; +export { default as validate } from './validate.js'; +export { default as stringify } from './stringify.js'; +export { default as parse } from './parse.js'; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/md5.js b/src/后端/node_modules/uuid/dist/esm-node/md5.js new file mode 100644 index 00000000..4d68b040 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/md5.js @@ -0,0 +1,13 @@ +import crypto from 'crypto'; + +function md5(bytes) { + if (Array.isArray(bytes)) { + bytes = Buffer.from(bytes); + } else if (typeof bytes === 'string') { + bytes = Buffer.from(bytes, 'utf8'); + } + + return crypto.createHash('md5').update(bytes).digest(); +} + +export default md5; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/native.js b/src/后端/node_modules/uuid/dist/esm-node/native.js new file mode 100644 index 00000000..f0d19926 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/native.js @@ -0,0 +1,4 @@ +import crypto from 'crypto'; +export default { + randomUUID: crypto.randomUUID +}; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/nil.js b/src/后端/node_modules/uuid/dist/esm-node/nil.js new file mode 100644 index 00000000..b36324c2 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/nil.js @@ -0,0 +1 @@ +export default '00000000-0000-0000-0000-000000000000'; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/parse.js b/src/后端/node_modules/uuid/dist/esm-node/parse.js new file mode 100644 index 00000000..6421c5d5 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/parse.js @@ -0,0 +1,35 @@ +import validate from './validate.js'; + +function parse(uuid) { + if (!validate(uuid)) { + throw TypeError('Invalid UUID'); + } + + let v; + const arr = new Uint8Array(16); // Parse ########-....-....-....-............ + + arr[0] = (v = parseInt(uuid.slice(0, 8), 16)) >>> 24; + arr[1] = v >>> 16 & 0xff; + arr[2] = v >>> 8 & 0xff; + arr[3] = v & 0xff; // Parse ........-####-....-....-............ + + arr[4] = (v = parseInt(uuid.slice(9, 13), 16)) >>> 8; + arr[5] = v & 0xff; // Parse ........-....-####-....-............ + + arr[6] = (v = parseInt(uuid.slice(14, 18), 16)) >>> 8; + arr[7] = v & 0xff; // Parse ........-....-....-####-............ + + arr[8] = (v = parseInt(uuid.slice(19, 23), 16)) >>> 8; + arr[9] = v & 0xff; // Parse ........-....-....-....-############ + // (Use "/" to avoid 32-bit truncation when bit-shifting high-order bytes) + + arr[10] = (v = parseInt(uuid.slice(24, 36), 16)) / 0x10000000000 & 0xff; + arr[11] = v / 0x100000000 & 0xff; + arr[12] = v >>> 24 & 0xff; + arr[13] = v >>> 16 & 0xff; + arr[14] = v >>> 8 & 0xff; + arr[15] = v & 0xff; + return arr; +} + +export default parse; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/regex.js b/src/后端/node_modules/uuid/dist/esm-node/regex.js new file mode 100644 index 00000000..3da8673a --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/regex.js @@ -0,0 +1 @@ +export default /^(?:[0-9a-f]{8}-[0-9a-f]{4}-[1-5][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}|00000000-0000-0000-0000-000000000000)$/i; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/rng.js b/src/后端/node_modules/uuid/dist/esm-node/rng.js new file mode 100644 index 00000000..80062449 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/rng.js @@ -0,0 +1,12 @@ +import crypto from 'crypto'; +const rnds8Pool = new Uint8Array(256); // # of random values to pre-allocate + +let poolPtr = rnds8Pool.length; +export default function rng() { + if (poolPtr > rnds8Pool.length - 16) { + crypto.randomFillSync(rnds8Pool); + poolPtr = 0; + } + + return rnds8Pool.slice(poolPtr, poolPtr += 16); +} \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/sha1.js b/src/后端/node_modules/uuid/dist/esm-node/sha1.js new file mode 100644 index 00000000..e23850b4 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/sha1.js @@ -0,0 +1,13 @@ +import crypto from 'crypto'; + +function sha1(bytes) { + if (Array.isArray(bytes)) { + bytes = Buffer.from(bytes); + } else if (typeof bytes === 'string') { + bytes = Buffer.from(bytes, 'utf8'); + } + + return crypto.createHash('sha1').update(bytes).digest(); +} + +export default sha1; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/stringify.js b/src/后端/node_modules/uuid/dist/esm-node/stringify.js new file mode 100644 index 00000000..80fac8a6 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/stringify.js @@ -0,0 +1,33 @@ +import validate from './validate.js'; +/** + * Convert array of 16 byte values to UUID string format of the form: + * XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX + */ + +const byteToHex = []; + +for (let i = 0; i < 256; ++i) { + byteToHex.push((i + 0x100).toString(16).slice(1)); +} + +export function unsafeStringify(arr, offset = 0) { + // Note: Be careful editing this code! It's been tuned for performance + // and works in ways you may not expect. See https://github.com/uuidjs/uuid/pull/434 + return (byteToHex[arr[offset + 0]] + byteToHex[arr[offset + 1]] + byteToHex[arr[offset + 2]] + byteToHex[arr[offset + 3]] + '-' + byteToHex[arr[offset + 4]] + byteToHex[arr[offset + 5]] + '-' + byteToHex[arr[offset + 6]] + byteToHex[arr[offset + 7]] + '-' + byteToHex[arr[offset + 8]] + byteToHex[arr[offset + 9]] + '-' + byteToHex[arr[offset + 10]] + byteToHex[arr[offset + 11]] + byteToHex[arr[offset + 12]] + byteToHex[arr[offset + 13]] + byteToHex[arr[offset + 14]] + byteToHex[arr[offset + 15]]).toLowerCase(); +} + +function stringify(arr, offset = 0) { + const uuid = unsafeStringify(arr, offset); // Consistency check for valid UUID. If this throws, it's likely due to one + // of the following: + // - One or more input array values don't map to a hex octet (leading to + // "undefined" in the uuid) + // - Invalid input values for the RFC `version` or `variant` fields + + if (!validate(uuid)) { + throw TypeError('Stringified UUID is invalid'); + } + + return uuid; +} + +export default stringify; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/v1.js b/src/后端/node_modules/uuid/dist/esm-node/v1.js new file mode 100644 index 00000000..382e5d79 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/v1.js @@ -0,0 +1,95 @@ +import rng from './rng.js'; +import { unsafeStringify } from './stringify.js'; // **`v1()` - Generate time-based UUID** +// +// Inspired by https://github.com/LiosK/UUID.js +// and http://docs.python.org/library/uuid.html + +let _nodeId; + +let _clockseq; // Previous uuid creation time + + +let _lastMSecs = 0; +let _lastNSecs = 0; // See https://github.com/uuidjs/uuid for API details + +function v1(options, buf, offset) { + let i = buf && offset || 0; + const b = buf || new Array(16); + options = options || {}; + let node = options.node || _nodeId; + let clockseq = options.clockseq !== undefined ? options.clockseq : _clockseq; // node and clockseq need to be initialized to random values if they're not + // specified. We do this lazily to minimize issues related to insufficient + // system entropy. See #189 + + if (node == null || clockseq == null) { + const seedBytes = options.random || (options.rng || rng)(); + + if (node == null) { + // Per 4.5, create and 48-bit node id, (47 random bits + multicast bit = 1) + node = _nodeId = [seedBytes[0] | 0x01, seedBytes[1], seedBytes[2], seedBytes[3], seedBytes[4], seedBytes[5]]; + } + + if (clockseq == null) { + // Per 4.2.2, randomize (14 bit) clockseq + clockseq = _clockseq = (seedBytes[6] << 8 | seedBytes[7]) & 0x3fff; + } + } // UUID timestamps are 100 nano-second units since the Gregorian epoch, + // (1582-10-15 00:00). JSNumbers aren't precise enough for this, so + // time is handled internally as 'msecs' (integer milliseconds) and 'nsecs' + // (100-nanoseconds offset from msecs) since unix epoch, 1970-01-01 00:00. + + + let msecs = options.msecs !== undefined ? options.msecs : Date.now(); // Per 4.2.1.2, use count of uuid's generated during the current clock + // cycle to simulate higher resolution clock + + let nsecs = options.nsecs !== undefined ? options.nsecs : _lastNSecs + 1; // Time since last uuid creation (in msecs) + + const dt = msecs - _lastMSecs + (nsecs - _lastNSecs) / 10000; // Per 4.2.1.2, Bump clockseq on clock regression + + if (dt < 0 && options.clockseq === undefined) { + clockseq = clockseq + 1 & 0x3fff; + } // Reset nsecs if clock regresses (new clockseq) or we've moved onto a new + // time interval + + + if ((dt < 0 || msecs > _lastMSecs) && options.nsecs === undefined) { + nsecs = 0; + } // Per 4.2.1.2 Throw error if too many uuids are requested + + + if (nsecs >= 10000) { + throw new Error("uuid.v1(): Can't create more than 10M uuids/sec"); + } + + _lastMSecs = msecs; + _lastNSecs = nsecs; + _clockseq = clockseq; // Per 4.1.4 - Convert from unix epoch to Gregorian epoch + + msecs += 12219292800000; // `time_low` + + const tl = ((msecs & 0xfffffff) * 10000 + nsecs) % 0x100000000; + b[i++] = tl >>> 24 & 0xff; + b[i++] = tl >>> 16 & 0xff; + b[i++] = tl >>> 8 & 0xff; + b[i++] = tl & 0xff; // `time_mid` + + const tmh = msecs / 0x100000000 * 10000 & 0xfffffff; + b[i++] = tmh >>> 8 & 0xff; + b[i++] = tmh & 0xff; // `time_high_and_version` + + b[i++] = tmh >>> 24 & 0xf | 0x10; // include version + + b[i++] = tmh >>> 16 & 0xff; // `clock_seq_hi_and_reserved` (Per 4.2.2 - include variant) + + b[i++] = clockseq >>> 8 | 0x80; // `clock_seq_low` + + b[i++] = clockseq & 0xff; // `node` + + for (let n = 0; n < 6; ++n) { + b[i + n] = node[n]; + } + + return buf || unsafeStringify(b); +} + +export default v1; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/v3.js b/src/后端/node_modules/uuid/dist/esm-node/v3.js new file mode 100644 index 00000000..09063b86 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/v3.js @@ -0,0 +1,4 @@ +import v35 from './v35.js'; +import md5 from './md5.js'; +const v3 = v35('v3', 0x30, md5); +export default v3; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/v35.js b/src/后端/node_modules/uuid/dist/esm-node/v35.js new file mode 100644 index 00000000..3355e1f5 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/v35.js @@ -0,0 +1,66 @@ +import { unsafeStringify } from './stringify.js'; +import parse from './parse.js'; + +function stringToBytes(str) { + str = unescape(encodeURIComponent(str)); // UTF8 escape + + const bytes = []; + + for (let i = 0; i < str.length; ++i) { + bytes.push(str.charCodeAt(i)); + } + + return bytes; +} + +export const DNS = '6ba7b810-9dad-11d1-80b4-00c04fd430c8'; +export const URL = '6ba7b811-9dad-11d1-80b4-00c04fd430c8'; +export default function v35(name, version, hashfunc) { + function generateUUID(value, namespace, buf, offset) { + var _namespace; + + if (typeof value === 'string') { + value = stringToBytes(value); + } + + if (typeof namespace === 'string') { + namespace = parse(namespace); + } + + if (((_namespace = namespace) === null || _namespace === void 0 ? void 0 : _namespace.length) !== 16) { + throw TypeError('Namespace must be array-like (16 iterable integer values, 0-255)'); + } // Compute hash of namespace and value, Per 4.3 + // Future: Use spread syntax when supported on all platforms, e.g. `bytes = + // hashfunc([...namespace, ... value])` + + + let bytes = new Uint8Array(16 + value.length); + bytes.set(namespace); + bytes.set(value, namespace.length); + bytes = hashfunc(bytes); + bytes[6] = bytes[6] & 0x0f | version; + bytes[8] = bytes[8] & 0x3f | 0x80; + + if (buf) { + offset = offset || 0; + + for (let i = 0; i < 16; ++i) { + buf[offset + i] = bytes[i]; + } + + return buf; + } + + return unsafeStringify(bytes); + } // Function#name is not settable on some platforms (#270) + + + try { + generateUUID.name = name; // eslint-disable-next-line no-empty + } catch (err) {} // For CommonJS default export support + + + generateUUID.DNS = DNS; + generateUUID.URL = URL; + return generateUUID; +} \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/v4.js b/src/后端/node_modules/uuid/dist/esm-node/v4.js new file mode 100644 index 00000000..95ea8799 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/v4.js @@ -0,0 +1,29 @@ +import native from './native.js'; +import rng from './rng.js'; +import { unsafeStringify } from './stringify.js'; + +function v4(options, buf, offset) { + if (native.randomUUID && !buf && !options) { + return native.randomUUID(); + } + + options = options || {}; + const rnds = options.random || (options.rng || rng)(); // Per 4.4, set bits for version and `clock_seq_hi_and_reserved` + + rnds[6] = rnds[6] & 0x0f | 0x40; + rnds[8] = rnds[8] & 0x3f | 0x80; // Copy bytes to buffer, if provided + + if (buf) { + offset = offset || 0; + + for (let i = 0; i < 16; ++i) { + buf[offset + i] = rnds[i]; + } + + return buf; + } + + return unsafeStringify(rnds); +} + +export default v4; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/v5.js b/src/后端/node_modules/uuid/dist/esm-node/v5.js new file mode 100644 index 00000000..e87fe317 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/v5.js @@ -0,0 +1,4 @@ +import v35 from './v35.js'; +import sha1 from './sha1.js'; +const v5 = v35('v5', 0x50, sha1); +export default v5; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/validate.js b/src/后端/node_modules/uuid/dist/esm-node/validate.js new file mode 100644 index 00000000..f1cdc7af --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/validate.js @@ -0,0 +1,7 @@ +import REGEX from './regex.js'; + +function validate(uuid) { + return typeof uuid === 'string' && REGEX.test(uuid); +} + +export default validate; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/esm-node/version.js b/src/后端/node_modules/uuid/dist/esm-node/version.js new file mode 100644 index 00000000..93630763 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/esm-node/version.js @@ -0,0 +1,11 @@ +import validate from './validate.js'; + +function version(uuid) { + if (!validate(uuid)) { + throw TypeError('Invalid UUID'); + } + + return parseInt(uuid.slice(14, 15), 16); +} + +export default version; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/index.js b/src/后端/node_modules/uuid/dist/index.js new file mode 100644 index 00000000..88d676a2 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/index.js @@ -0,0 +1,79 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "NIL", { + enumerable: true, + get: function () { + return _nil.default; + } +}); +Object.defineProperty(exports, "parse", { + enumerable: true, + get: function () { + return _parse.default; + } +}); +Object.defineProperty(exports, "stringify", { + enumerable: true, + get: function () { + return _stringify.default; + } +}); +Object.defineProperty(exports, "v1", { + enumerable: true, + get: function () { + return _v.default; + } +}); +Object.defineProperty(exports, "v3", { + enumerable: true, + get: function () { + return _v2.default; + } +}); +Object.defineProperty(exports, "v4", { + enumerable: true, + get: function () { + return _v3.default; + } +}); +Object.defineProperty(exports, "v5", { + enumerable: true, + get: function () { + return _v4.default; + } +}); +Object.defineProperty(exports, "validate", { + enumerable: true, + get: function () { + return _validate.default; + } +}); +Object.defineProperty(exports, "version", { + enumerable: true, + get: function () { + return _version.default; + } +}); + +var _v = _interopRequireDefault(require("./v1.js")); + +var _v2 = _interopRequireDefault(require("./v3.js")); + +var _v3 = _interopRequireDefault(require("./v4.js")); + +var _v4 = _interopRequireDefault(require("./v5.js")); + +var _nil = _interopRequireDefault(require("./nil.js")); + +var _version = _interopRequireDefault(require("./version.js")); + +var _validate = _interopRequireDefault(require("./validate.js")); + +var _stringify = _interopRequireDefault(require("./stringify.js")); + +var _parse = _interopRequireDefault(require("./parse.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/md5-browser.js b/src/后端/node_modules/uuid/dist/md5-browser.js new file mode 100644 index 00000000..7a4582ac --- /dev/null +++ b/src/后端/node_modules/uuid/dist/md5-browser.js @@ -0,0 +1,223 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +/* + * Browser-compatible JavaScript MD5 + * + * Modification of JavaScript MD5 + * https://github.com/blueimp/JavaScript-MD5 + * + * Copyright 2011, Sebastian Tschan + * https://blueimp.net + * + * Licensed under the MIT license: + * https://opensource.org/licenses/MIT + * + * Based on + * A JavaScript implementation of the RSA Data Security, Inc. MD5 Message + * Digest Algorithm, as defined in RFC 1321. + * Version 2.2 Copyright (C) Paul Johnston 1999 - 2009 + * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet + * Distributed under the BSD License + * See http://pajhome.org.uk/crypt/md5 for more info. + */ +function md5(bytes) { + if (typeof bytes === 'string') { + const msg = unescape(encodeURIComponent(bytes)); // UTF8 escape + + bytes = new Uint8Array(msg.length); + + for (let i = 0; i < msg.length; ++i) { + bytes[i] = msg.charCodeAt(i); + } + } + + return md5ToHexEncodedArray(wordsToMd5(bytesToWords(bytes), bytes.length * 8)); +} +/* + * Convert an array of little-endian words to an array of bytes + */ + + +function md5ToHexEncodedArray(input) { + const output = []; + const length32 = input.length * 32; + const hexTab = '0123456789abcdef'; + + for (let i = 0; i < length32; i += 8) { + const x = input[i >> 5] >>> i % 32 & 0xff; + const hex = parseInt(hexTab.charAt(x >>> 4 & 0x0f) + hexTab.charAt(x & 0x0f), 16); + output.push(hex); + } + + return output; +} +/** + * Calculate output length with padding and bit length + */ + + +function getOutputLength(inputLength8) { + return (inputLength8 + 64 >>> 9 << 4) + 14 + 1; +} +/* + * Calculate the MD5 of an array of little-endian words, and a bit length. + */ + + +function wordsToMd5(x, len) { + /* append padding */ + x[len >> 5] |= 0x80 << len % 32; + x[getOutputLength(len) - 1] = len; + let a = 1732584193; + let b = -271733879; + let c = -1732584194; + let d = 271733878; + + for (let i = 0; i < x.length; i += 16) { + const olda = a; + const oldb = b; + const oldc = c; + const oldd = d; + a = md5ff(a, b, c, d, x[i], 7, -680876936); + d = md5ff(d, a, b, c, x[i + 1], 12, -389564586); + c = md5ff(c, d, a, b, x[i + 2], 17, 606105819); + b = md5ff(b, c, d, a, x[i + 3], 22, -1044525330); + a = md5ff(a, b, c, d, x[i + 4], 7, -176418897); + d = md5ff(d, a, b, c, x[i + 5], 12, 1200080426); + c = md5ff(c, d, a, b, x[i + 6], 17, -1473231341); + b = md5ff(b, c, d, a, x[i + 7], 22, -45705983); + a = md5ff(a, b, c, d, x[i + 8], 7, 1770035416); + d = md5ff(d, a, b, c, x[i + 9], 12, -1958414417); + c = md5ff(c, d, a, b, x[i + 10], 17, -42063); + b = md5ff(b, c, d, a, x[i + 11], 22, -1990404162); + a = md5ff(a, b, c, d, x[i + 12], 7, 1804603682); + d = md5ff(d, a, b, c, x[i + 13], 12, -40341101); + c = md5ff(c, d, a, b, x[i + 14], 17, -1502002290); + b = md5ff(b, c, d, a, x[i + 15], 22, 1236535329); + a = md5gg(a, b, c, d, x[i + 1], 5, -165796510); + d = md5gg(d, a, b, c, x[i + 6], 9, -1069501632); + c = md5gg(c, d, a, b, x[i + 11], 14, 643717713); + b = md5gg(b, c, d, a, x[i], 20, -373897302); + a = md5gg(a, b, c, d, x[i + 5], 5, -701558691); + d = md5gg(d, a, b, c, x[i + 10], 9, 38016083); + c = md5gg(c, d, a, b, x[i + 15], 14, -660478335); + b = md5gg(b, c, d, a, x[i + 4], 20, -405537848); + a = md5gg(a, b, c, d, x[i + 9], 5, 568446438); + d = md5gg(d, a, b, c, x[i + 14], 9, -1019803690); + c = md5gg(c, d, a, b, x[i + 3], 14, -187363961); + b = md5gg(b, c, d, a, x[i + 8], 20, 1163531501); + a = md5gg(a, b, c, d, x[i + 13], 5, -1444681467); + d = md5gg(d, a, b, c, x[i + 2], 9, -51403784); + c = md5gg(c, d, a, b, x[i + 7], 14, 1735328473); + b = md5gg(b, c, d, a, x[i + 12], 20, -1926607734); + a = md5hh(a, b, c, d, x[i + 5], 4, -378558); + d = md5hh(d, a, b, c, x[i + 8], 11, -2022574463); + c = md5hh(c, d, a, b, x[i + 11], 16, 1839030562); + b = md5hh(b, c, d, a, x[i + 14], 23, -35309556); + a = md5hh(a, b, c, d, x[i + 1], 4, -1530992060); + d = md5hh(d, a, b, c, x[i + 4], 11, 1272893353); + c = md5hh(c, d, a, b, x[i + 7], 16, -155497632); + b = md5hh(b, c, d, a, x[i + 10], 23, -1094730640); + a = md5hh(a, b, c, d, x[i + 13], 4, 681279174); + d = md5hh(d, a, b, c, x[i], 11, -358537222); + c = md5hh(c, d, a, b, x[i + 3], 16, -722521979); + b = md5hh(b, c, d, a, x[i + 6], 23, 76029189); + a = md5hh(a, b, c, d, x[i + 9], 4, -640364487); + d = md5hh(d, a, b, c, x[i + 12], 11, -421815835); + c = md5hh(c, d, a, b, x[i + 15], 16, 530742520); + b = md5hh(b, c, d, a, x[i + 2], 23, -995338651); + a = md5ii(a, b, c, d, x[i], 6, -198630844); + d = md5ii(d, a, b, c, x[i + 7], 10, 1126891415); + c = md5ii(c, d, a, b, x[i + 14], 15, -1416354905); + b = md5ii(b, c, d, a, x[i + 5], 21, -57434055); + a = md5ii(a, b, c, d, x[i + 12], 6, 1700485571); + d = md5ii(d, a, b, c, x[i + 3], 10, -1894986606); + c = md5ii(c, d, a, b, x[i + 10], 15, -1051523); + b = md5ii(b, c, d, a, x[i + 1], 21, -2054922799); + a = md5ii(a, b, c, d, x[i + 8], 6, 1873313359); + d = md5ii(d, a, b, c, x[i + 15], 10, -30611744); + c = md5ii(c, d, a, b, x[i + 6], 15, -1560198380); + b = md5ii(b, c, d, a, x[i + 13], 21, 1309151649); + a = md5ii(a, b, c, d, x[i + 4], 6, -145523070); + d = md5ii(d, a, b, c, x[i + 11], 10, -1120210379); + c = md5ii(c, d, a, b, x[i + 2], 15, 718787259); + b = md5ii(b, c, d, a, x[i + 9], 21, -343485551); + a = safeAdd(a, olda); + b = safeAdd(b, oldb); + c = safeAdd(c, oldc); + d = safeAdd(d, oldd); + } + + return [a, b, c, d]; +} +/* + * Convert an array bytes to an array of little-endian words + * Characters >255 have their high-byte silently ignored. + */ + + +function bytesToWords(input) { + if (input.length === 0) { + return []; + } + + const length8 = input.length * 8; + const output = new Uint32Array(getOutputLength(length8)); + + for (let i = 0; i < length8; i += 8) { + output[i >> 5] |= (input[i / 8] & 0xff) << i % 32; + } + + return output; +} +/* + * Add integers, wrapping at 2^32. This uses 16-bit operations internally + * to work around bugs in some JS interpreters. + */ + + +function safeAdd(x, y) { + const lsw = (x & 0xffff) + (y & 0xffff); + const msw = (x >> 16) + (y >> 16) + (lsw >> 16); + return msw << 16 | lsw & 0xffff; +} +/* + * Bitwise rotate a 32-bit number to the left. + */ + + +function bitRotateLeft(num, cnt) { + return num << cnt | num >>> 32 - cnt; +} +/* + * These functions implement the four basic operations the algorithm uses. + */ + + +function md5cmn(q, a, b, x, s, t) { + return safeAdd(bitRotateLeft(safeAdd(safeAdd(a, q), safeAdd(x, t)), s), b); +} + +function md5ff(a, b, c, d, x, s, t) { + return md5cmn(b & c | ~b & d, a, b, x, s, t); +} + +function md5gg(a, b, c, d, x, s, t) { + return md5cmn(b & d | c & ~d, a, b, x, s, t); +} + +function md5hh(a, b, c, d, x, s, t) { + return md5cmn(b ^ c ^ d, a, b, x, s, t); +} + +function md5ii(a, b, c, d, x, s, t) { + return md5cmn(c ^ (b | ~d), a, b, x, s, t); +} + +var _default = md5; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/md5.js b/src/后端/node_modules/uuid/dist/md5.js new file mode 100644 index 00000000..824d4816 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/md5.js @@ -0,0 +1,23 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _crypto = _interopRequireDefault(require("crypto")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function md5(bytes) { + if (Array.isArray(bytes)) { + bytes = Buffer.from(bytes); + } else if (typeof bytes === 'string') { + bytes = Buffer.from(bytes, 'utf8'); + } + + return _crypto.default.createHash('md5').update(bytes).digest(); +} + +var _default = md5; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/native-browser.js b/src/后端/node_modules/uuid/dist/native-browser.js new file mode 100644 index 00000000..c2eea59d --- /dev/null +++ b/src/后端/node_modules/uuid/dist/native-browser.js @@ -0,0 +1,11 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; +const randomUUID = typeof crypto !== 'undefined' && crypto.randomUUID && crypto.randomUUID.bind(crypto); +var _default = { + randomUUID +}; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/native.js b/src/后端/node_modules/uuid/dist/native.js new file mode 100644 index 00000000..de804691 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/native.js @@ -0,0 +1,15 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _crypto = _interopRequireDefault(require("crypto")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +var _default = { + randomUUID: _crypto.default.randomUUID +}; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/nil.js b/src/后端/node_modules/uuid/dist/nil.js new file mode 100644 index 00000000..7ade577b --- /dev/null +++ b/src/后端/node_modules/uuid/dist/nil.js @@ -0,0 +1,8 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; +var _default = '00000000-0000-0000-0000-000000000000'; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/parse.js b/src/后端/node_modules/uuid/dist/parse.js new file mode 100644 index 00000000..4c69fc39 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/parse.js @@ -0,0 +1,45 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _validate = _interopRequireDefault(require("./validate.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function parse(uuid) { + if (!(0, _validate.default)(uuid)) { + throw TypeError('Invalid UUID'); + } + + let v; + const arr = new Uint8Array(16); // Parse ########-....-....-....-............ + + arr[0] = (v = parseInt(uuid.slice(0, 8), 16)) >>> 24; + arr[1] = v >>> 16 & 0xff; + arr[2] = v >>> 8 & 0xff; + arr[3] = v & 0xff; // Parse ........-####-....-....-............ + + arr[4] = (v = parseInt(uuid.slice(9, 13), 16)) >>> 8; + arr[5] = v & 0xff; // Parse ........-....-####-....-............ + + arr[6] = (v = parseInt(uuid.slice(14, 18), 16)) >>> 8; + arr[7] = v & 0xff; // Parse ........-....-....-####-............ + + arr[8] = (v = parseInt(uuid.slice(19, 23), 16)) >>> 8; + arr[9] = v & 0xff; // Parse ........-....-....-....-############ + // (Use "/" to avoid 32-bit truncation when bit-shifting high-order bytes) + + arr[10] = (v = parseInt(uuid.slice(24, 36), 16)) / 0x10000000000 & 0xff; + arr[11] = v / 0x100000000 & 0xff; + arr[12] = v >>> 24 & 0xff; + arr[13] = v >>> 16 & 0xff; + arr[14] = v >>> 8 & 0xff; + arr[15] = v & 0xff; + return arr; +} + +var _default = parse; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/regex.js b/src/后端/node_modules/uuid/dist/regex.js new file mode 100644 index 00000000..1ef91d64 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/regex.js @@ -0,0 +1,8 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; +var _default = /^(?:[0-9a-f]{8}-[0-9a-f]{4}-[1-5][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}|00000000-0000-0000-0000-000000000000)$/i; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/rng-browser.js b/src/后端/node_modules/uuid/dist/rng-browser.js new file mode 100644 index 00000000..d067cdb0 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/rng-browser.js @@ -0,0 +1,25 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = rng; +// Unique ID creation requires a high quality random # generator. In the browser we therefore +// require the crypto API and do not support built-in fallback to lower quality random number +// generators (like Math.random()). +let getRandomValues; +const rnds8 = new Uint8Array(16); + +function rng() { + // lazy load so that environments that need to polyfill have a chance to do so + if (!getRandomValues) { + // getRandomValues needs to be invoked in a context where "this" is a Crypto implementation. + getRandomValues = typeof crypto !== 'undefined' && crypto.getRandomValues && crypto.getRandomValues.bind(crypto); + + if (!getRandomValues) { + throw new Error('crypto.getRandomValues() not supported. See https://github.com/uuidjs/uuid#getrandomvalues-not-supported'); + } + } + + return getRandomValues(rnds8); +} \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/rng.js b/src/后端/node_modules/uuid/dist/rng.js new file mode 100644 index 00000000..3507f937 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/rng.js @@ -0,0 +1,24 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = rng; + +var _crypto = _interopRequireDefault(require("crypto")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const rnds8Pool = new Uint8Array(256); // # of random values to pre-allocate + +let poolPtr = rnds8Pool.length; + +function rng() { + if (poolPtr > rnds8Pool.length - 16) { + _crypto.default.randomFillSync(rnds8Pool); + + poolPtr = 0; + } + + return rnds8Pool.slice(poolPtr, poolPtr += 16); +} \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/sha1-browser.js b/src/后端/node_modules/uuid/dist/sha1-browser.js new file mode 100644 index 00000000..24cbcedc --- /dev/null +++ b/src/后端/node_modules/uuid/dist/sha1-browser.js @@ -0,0 +1,104 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +// Adapted from Chris Veness' SHA1 code at +// http://www.movable-type.co.uk/scripts/sha1.html +function f(s, x, y, z) { + switch (s) { + case 0: + return x & y ^ ~x & z; + + case 1: + return x ^ y ^ z; + + case 2: + return x & y ^ x & z ^ y & z; + + case 3: + return x ^ y ^ z; + } +} + +function ROTL(x, n) { + return x << n | x >>> 32 - n; +} + +function sha1(bytes) { + const K = [0x5a827999, 0x6ed9eba1, 0x8f1bbcdc, 0xca62c1d6]; + const H = [0x67452301, 0xefcdab89, 0x98badcfe, 0x10325476, 0xc3d2e1f0]; + + if (typeof bytes === 'string') { + const msg = unescape(encodeURIComponent(bytes)); // UTF8 escape + + bytes = []; + + for (let i = 0; i < msg.length; ++i) { + bytes.push(msg.charCodeAt(i)); + } + } else if (!Array.isArray(bytes)) { + // Convert Array-like to Array + bytes = Array.prototype.slice.call(bytes); + } + + bytes.push(0x80); + const l = bytes.length / 4 + 2; + const N = Math.ceil(l / 16); + const M = new Array(N); + + for (let i = 0; i < N; ++i) { + const arr = new Uint32Array(16); + + for (let j = 0; j < 16; ++j) { + arr[j] = bytes[i * 64 + j * 4] << 24 | bytes[i * 64 + j * 4 + 1] << 16 | bytes[i * 64 + j * 4 + 2] << 8 | bytes[i * 64 + j * 4 + 3]; + } + + M[i] = arr; + } + + M[N - 1][14] = (bytes.length - 1) * 8 / Math.pow(2, 32); + M[N - 1][14] = Math.floor(M[N - 1][14]); + M[N - 1][15] = (bytes.length - 1) * 8 & 0xffffffff; + + for (let i = 0; i < N; ++i) { + const W = new Uint32Array(80); + + for (let t = 0; t < 16; ++t) { + W[t] = M[i][t]; + } + + for (let t = 16; t < 80; ++t) { + W[t] = ROTL(W[t - 3] ^ W[t - 8] ^ W[t - 14] ^ W[t - 16], 1); + } + + let a = H[0]; + let b = H[1]; + let c = H[2]; + let d = H[3]; + let e = H[4]; + + for (let t = 0; t < 80; ++t) { + const s = Math.floor(t / 20); + const T = ROTL(a, 5) + f(s, b, c, d) + e + K[s] + W[t] >>> 0; + e = d; + d = c; + c = ROTL(b, 30) >>> 0; + b = a; + a = T; + } + + H[0] = H[0] + a >>> 0; + H[1] = H[1] + b >>> 0; + H[2] = H[2] + c >>> 0; + H[3] = H[3] + d >>> 0; + H[4] = H[4] + e >>> 0; + } + + return [H[0] >> 24 & 0xff, H[0] >> 16 & 0xff, H[0] >> 8 & 0xff, H[0] & 0xff, H[1] >> 24 & 0xff, H[1] >> 16 & 0xff, H[1] >> 8 & 0xff, H[1] & 0xff, H[2] >> 24 & 0xff, H[2] >> 16 & 0xff, H[2] >> 8 & 0xff, H[2] & 0xff, H[3] >> 24 & 0xff, H[3] >> 16 & 0xff, H[3] >> 8 & 0xff, H[3] & 0xff, H[4] >> 24 & 0xff, H[4] >> 16 & 0xff, H[4] >> 8 & 0xff, H[4] & 0xff]; +} + +var _default = sha1; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/sha1.js b/src/后端/node_modules/uuid/dist/sha1.js new file mode 100644 index 00000000..03bdd63c --- /dev/null +++ b/src/后端/node_modules/uuid/dist/sha1.js @@ -0,0 +1,23 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _crypto = _interopRequireDefault(require("crypto")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function sha1(bytes) { + if (Array.isArray(bytes)) { + bytes = Buffer.from(bytes); + } else if (typeof bytes === 'string') { + bytes = Buffer.from(bytes, 'utf8'); + } + + return _crypto.default.createHash('sha1').update(bytes).digest(); +} + +var _default = sha1; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/stringify.js b/src/后端/node_modules/uuid/dist/stringify.js new file mode 100644 index 00000000..bdcea1ce --- /dev/null +++ b/src/后端/node_modules/uuid/dist/stringify.js @@ -0,0 +1,44 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; +exports.unsafeStringify = unsafeStringify; + +var _validate = _interopRequireDefault(require("./validate.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +/** + * Convert array of 16 byte values to UUID string format of the form: + * XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX + */ +const byteToHex = []; + +for (let i = 0; i < 256; ++i) { + byteToHex.push((i + 0x100).toString(16).slice(1)); +} + +function unsafeStringify(arr, offset = 0) { + // Note: Be careful editing this code! It's been tuned for performance + // and works in ways you may not expect. See https://github.com/uuidjs/uuid/pull/434 + return (byteToHex[arr[offset + 0]] + byteToHex[arr[offset + 1]] + byteToHex[arr[offset + 2]] + byteToHex[arr[offset + 3]] + '-' + byteToHex[arr[offset + 4]] + byteToHex[arr[offset + 5]] + '-' + byteToHex[arr[offset + 6]] + byteToHex[arr[offset + 7]] + '-' + byteToHex[arr[offset + 8]] + byteToHex[arr[offset + 9]] + '-' + byteToHex[arr[offset + 10]] + byteToHex[arr[offset + 11]] + byteToHex[arr[offset + 12]] + byteToHex[arr[offset + 13]] + byteToHex[arr[offset + 14]] + byteToHex[arr[offset + 15]]).toLowerCase(); +} + +function stringify(arr, offset = 0) { + const uuid = unsafeStringify(arr, offset); // Consistency check for valid UUID. If this throws, it's likely due to one + // of the following: + // - One or more input array values don't map to a hex octet (leading to + // "undefined" in the uuid) + // - Invalid input values for the RFC `version` or `variant` fields + + if (!(0, _validate.default)(uuid)) { + throw TypeError('Stringified UUID is invalid'); + } + + return uuid; +} + +var _default = stringify; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/uuid-bin.js b/src/后端/node_modules/uuid/dist/uuid-bin.js new file mode 100644 index 00000000..50a7a9f1 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/uuid-bin.js @@ -0,0 +1,85 @@ +"use strict"; + +var _assert = _interopRequireDefault(require("assert")); + +var _v = _interopRequireDefault(require("./v1.js")); + +var _v2 = _interopRequireDefault(require("./v3.js")); + +var _v3 = _interopRequireDefault(require("./v4.js")); + +var _v4 = _interopRequireDefault(require("./v5.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function usage() { + console.log('Usage:'); + console.log(' uuid'); + console.log(' uuid v1'); + console.log(' uuid v3 '); + console.log(' uuid v4'); + console.log(' uuid v5 '); + console.log(' uuid --help'); + console.log('\nNote: may be "URL" or "DNS" to use the corresponding UUIDs defined by RFC4122'); +} + +const args = process.argv.slice(2); + +if (args.indexOf('--help') >= 0) { + usage(); + process.exit(0); +} + +const version = args.shift() || 'v4'; + +switch (version) { + case 'v1': + console.log((0, _v.default)()); + break; + + case 'v3': + { + const name = args.shift(); + let namespace = args.shift(); + (0, _assert.default)(name != null, 'v3 name not specified'); + (0, _assert.default)(namespace != null, 'v3 namespace not specified'); + + if (namespace === 'URL') { + namespace = _v2.default.URL; + } + + if (namespace === 'DNS') { + namespace = _v2.default.DNS; + } + + console.log((0, _v2.default)(name, namespace)); + break; + } + + case 'v4': + console.log((0, _v3.default)()); + break; + + case 'v5': + { + const name = args.shift(); + let namespace = args.shift(); + (0, _assert.default)(name != null, 'v5 name not specified'); + (0, _assert.default)(namespace != null, 'v5 namespace not specified'); + + if (namespace === 'URL') { + namespace = _v4.default.URL; + } + + if (namespace === 'DNS') { + namespace = _v4.default.DNS; + } + + console.log((0, _v4.default)(name, namespace)); + break; + } + + default: + usage(); + process.exit(1); +} \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/v1.js b/src/后端/node_modules/uuid/dist/v1.js new file mode 100644 index 00000000..125bc58f --- /dev/null +++ b/src/后端/node_modules/uuid/dist/v1.js @@ -0,0 +1,107 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _rng = _interopRequireDefault(require("./rng.js")); + +var _stringify = require("./stringify.js"); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +// **`v1()` - Generate time-based UUID** +// +// Inspired by https://github.com/LiosK/UUID.js +// and http://docs.python.org/library/uuid.html +let _nodeId; + +let _clockseq; // Previous uuid creation time + + +let _lastMSecs = 0; +let _lastNSecs = 0; // See https://github.com/uuidjs/uuid for API details + +function v1(options, buf, offset) { + let i = buf && offset || 0; + const b = buf || new Array(16); + options = options || {}; + let node = options.node || _nodeId; + let clockseq = options.clockseq !== undefined ? options.clockseq : _clockseq; // node and clockseq need to be initialized to random values if they're not + // specified. We do this lazily to minimize issues related to insufficient + // system entropy. See #189 + + if (node == null || clockseq == null) { + const seedBytes = options.random || (options.rng || _rng.default)(); + + if (node == null) { + // Per 4.5, create and 48-bit node id, (47 random bits + multicast bit = 1) + node = _nodeId = [seedBytes[0] | 0x01, seedBytes[1], seedBytes[2], seedBytes[3], seedBytes[4], seedBytes[5]]; + } + + if (clockseq == null) { + // Per 4.2.2, randomize (14 bit) clockseq + clockseq = _clockseq = (seedBytes[6] << 8 | seedBytes[7]) & 0x3fff; + } + } // UUID timestamps are 100 nano-second units since the Gregorian epoch, + // (1582-10-15 00:00). JSNumbers aren't precise enough for this, so + // time is handled internally as 'msecs' (integer milliseconds) and 'nsecs' + // (100-nanoseconds offset from msecs) since unix epoch, 1970-01-01 00:00. + + + let msecs = options.msecs !== undefined ? options.msecs : Date.now(); // Per 4.2.1.2, use count of uuid's generated during the current clock + // cycle to simulate higher resolution clock + + let nsecs = options.nsecs !== undefined ? options.nsecs : _lastNSecs + 1; // Time since last uuid creation (in msecs) + + const dt = msecs - _lastMSecs + (nsecs - _lastNSecs) / 10000; // Per 4.2.1.2, Bump clockseq on clock regression + + if (dt < 0 && options.clockseq === undefined) { + clockseq = clockseq + 1 & 0x3fff; + } // Reset nsecs if clock regresses (new clockseq) or we've moved onto a new + // time interval + + + if ((dt < 0 || msecs > _lastMSecs) && options.nsecs === undefined) { + nsecs = 0; + } // Per 4.2.1.2 Throw error if too many uuids are requested + + + if (nsecs >= 10000) { + throw new Error("uuid.v1(): Can't create more than 10M uuids/sec"); + } + + _lastMSecs = msecs; + _lastNSecs = nsecs; + _clockseq = clockseq; // Per 4.1.4 - Convert from unix epoch to Gregorian epoch + + msecs += 12219292800000; // `time_low` + + const tl = ((msecs & 0xfffffff) * 10000 + nsecs) % 0x100000000; + b[i++] = tl >>> 24 & 0xff; + b[i++] = tl >>> 16 & 0xff; + b[i++] = tl >>> 8 & 0xff; + b[i++] = tl & 0xff; // `time_mid` + + const tmh = msecs / 0x100000000 * 10000 & 0xfffffff; + b[i++] = tmh >>> 8 & 0xff; + b[i++] = tmh & 0xff; // `time_high_and_version` + + b[i++] = tmh >>> 24 & 0xf | 0x10; // include version + + b[i++] = tmh >>> 16 & 0xff; // `clock_seq_hi_and_reserved` (Per 4.2.2 - include variant) + + b[i++] = clockseq >>> 8 | 0x80; // `clock_seq_low` + + b[i++] = clockseq & 0xff; // `node` + + for (let n = 0; n < 6; ++n) { + b[i + n] = node[n]; + } + + return buf || (0, _stringify.unsafeStringify)(b); +} + +var _default = v1; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/v3.js b/src/后端/node_modules/uuid/dist/v3.js new file mode 100644 index 00000000..6b47ff51 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/v3.js @@ -0,0 +1,16 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _v = _interopRequireDefault(require("./v35.js")); + +var _md = _interopRequireDefault(require("./md5.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const v3 = (0, _v.default)('v3', 0x30, _md.default); +var _default = v3; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/v35.js b/src/后端/node_modules/uuid/dist/v35.js new file mode 100644 index 00000000..7c522d97 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/v35.js @@ -0,0 +1,80 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.URL = exports.DNS = void 0; +exports.default = v35; + +var _stringify = require("./stringify.js"); + +var _parse = _interopRequireDefault(require("./parse.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function stringToBytes(str) { + str = unescape(encodeURIComponent(str)); // UTF8 escape + + const bytes = []; + + for (let i = 0; i < str.length; ++i) { + bytes.push(str.charCodeAt(i)); + } + + return bytes; +} + +const DNS = '6ba7b810-9dad-11d1-80b4-00c04fd430c8'; +exports.DNS = DNS; +const URL = '6ba7b811-9dad-11d1-80b4-00c04fd430c8'; +exports.URL = URL; + +function v35(name, version, hashfunc) { + function generateUUID(value, namespace, buf, offset) { + var _namespace; + + if (typeof value === 'string') { + value = stringToBytes(value); + } + + if (typeof namespace === 'string') { + namespace = (0, _parse.default)(namespace); + } + + if (((_namespace = namespace) === null || _namespace === void 0 ? void 0 : _namespace.length) !== 16) { + throw TypeError('Namespace must be array-like (16 iterable integer values, 0-255)'); + } // Compute hash of namespace and value, Per 4.3 + // Future: Use spread syntax when supported on all platforms, e.g. `bytes = + // hashfunc([...namespace, ... value])` + + + let bytes = new Uint8Array(16 + value.length); + bytes.set(namespace); + bytes.set(value, namespace.length); + bytes = hashfunc(bytes); + bytes[6] = bytes[6] & 0x0f | version; + bytes[8] = bytes[8] & 0x3f | 0x80; + + if (buf) { + offset = offset || 0; + + for (let i = 0; i < 16; ++i) { + buf[offset + i] = bytes[i]; + } + + return buf; + } + + return (0, _stringify.unsafeStringify)(bytes); + } // Function#name is not settable on some platforms (#270) + + + try { + generateUUID.name = name; // eslint-disable-next-line no-empty + } catch (err) {} // For CommonJS default export support + + + generateUUID.DNS = DNS; + generateUUID.URL = URL; + return generateUUID; +} \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/v4.js b/src/后端/node_modules/uuid/dist/v4.js new file mode 100644 index 00000000..959d6986 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/v4.js @@ -0,0 +1,43 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _native = _interopRequireDefault(require("./native.js")); + +var _rng = _interopRequireDefault(require("./rng.js")); + +var _stringify = require("./stringify.js"); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function v4(options, buf, offset) { + if (_native.default.randomUUID && !buf && !options) { + return _native.default.randomUUID(); + } + + options = options || {}; + + const rnds = options.random || (options.rng || _rng.default)(); // Per 4.4, set bits for version and `clock_seq_hi_and_reserved` + + + rnds[6] = rnds[6] & 0x0f | 0x40; + rnds[8] = rnds[8] & 0x3f | 0x80; // Copy bytes to buffer, if provided + + if (buf) { + offset = offset || 0; + + for (let i = 0; i < 16; ++i) { + buf[offset + i] = rnds[i]; + } + + return buf; + } + + return (0, _stringify.unsafeStringify)(rnds); +} + +var _default = v4; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/v5.js b/src/后端/node_modules/uuid/dist/v5.js new file mode 100644 index 00000000..99d615e0 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/v5.js @@ -0,0 +1,16 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _v = _interopRequireDefault(require("./v35.js")); + +var _sha = _interopRequireDefault(require("./sha1.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const v5 = (0, _v.default)('v5', 0x50, _sha.default); +var _default = v5; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/validate.js b/src/后端/node_modules/uuid/dist/validate.js new file mode 100644 index 00000000..fd052157 --- /dev/null +++ b/src/后端/node_modules/uuid/dist/validate.js @@ -0,0 +1,17 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _regex = _interopRequireDefault(require("./regex.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function validate(uuid) { + return typeof uuid === 'string' && _regex.default.test(uuid); +} + +var _default = validate; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/dist/version.js b/src/后端/node_modules/uuid/dist/version.js new file mode 100644 index 00000000..f63af01a --- /dev/null +++ b/src/后端/node_modules/uuid/dist/version.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _validate = _interopRequireDefault(require("./validate.js")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function version(uuid) { + if (!(0, _validate.default)(uuid)) { + throw TypeError('Invalid UUID'); + } + + return parseInt(uuid.slice(14, 15), 16); +} + +var _default = version; +exports.default = _default; \ No newline at end of file diff --git a/src/后端/node_modules/uuid/package.json b/src/后端/node_modules/uuid/package.json new file mode 100644 index 00000000..92cd9eba --- /dev/null +++ b/src/后端/node_modules/uuid/package.json @@ -0,0 +1,131 @@ +{ + "name": "uuid", + "version": "9.0.0", + "description": "RFC4122 (v1, v4, and v5) UUIDs", + "commitlint": { + "extends": [ + "@commitlint/config-conventional" + ] + }, + "keywords": [ + "uuid", + "guid", + "rfc4122" + ], + "license": "MIT", + "bin": { + "uuid": "./dist/bin/uuid" + }, + "sideEffects": false, + "main": "./dist/index.js", + "exports": { + ".": { + "node": { + "module": "./dist/esm-node/index.js", + "require": "./dist/index.js", + "import": "./wrapper.mjs" + }, + "browser": { + "import": "./dist/esm-browser/index.js", + "require": "./dist/commonjs-browser/index.js" + }, + "default": "./dist/esm-browser/index.js" + }, + "./package.json": "./package.json" + }, + "module": "./dist/esm-node/index.js", + "browser": { + "./dist/md5.js": "./dist/md5-browser.js", + "./dist/native.js": "./dist/native-browser.js", + "./dist/rng.js": "./dist/rng-browser.js", + "./dist/sha1.js": "./dist/sha1-browser.js", + "./dist/esm-node/index.js": "./dist/esm-browser/index.js" + }, + "files": [ + "CHANGELOG.md", + "CONTRIBUTING.md", + "LICENSE.md", + "README.md", + "dist", + "wrapper.mjs" + ], + "devDependencies": { + "@babel/cli": "7.18.10", + "@babel/core": "7.18.10", + "@babel/eslint-parser": "7.18.9", + "@babel/preset-env": "7.18.10", + "@commitlint/cli": "17.0.3", + "@commitlint/config-conventional": "17.0.3", + "bundlewatch": "0.3.3", + "eslint": "8.21.0", + "eslint-config-prettier": "8.5.0", + "eslint-config-standard": "17.0.0", + "eslint-plugin-import": "2.26.0", + "eslint-plugin-node": "11.1.0", + "eslint-plugin-prettier": "4.2.1", + "eslint-plugin-promise": "6.0.0", + "husky": "8.0.1", + "jest": "28.1.3", + "lint-staged": "13.0.3", + "npm-run-all": "4.1.5", + "optional-dev-dependency": "2.0.1", + "prettier": "2.7.1", + "random-seed": "0.3.0", + "runmd": "1.3.6", + "standard-version": "9.5.0" + }, + "optionalDevDependencies": { + "@wdio/browserstack-service": "7.16.10", + "@wdio/cli": "7.16.10", + "@wdio/jasmine-framework": "7.16.6", + "@wdio/local-runner": "7.16.10", + "@wdio/spec-reporter": "7.16.9", + "@wdio/static-server-service": "7.16.6" + }, + "scripts": { + "examples:browser:webpack:build": "cd examples/browser-webpack && npm install && npm run build", + "examples:browser:rollup:build": "cd examples/browser-rollup && npm install && npm run build", + "examples:node:commonjs:test": "cd examples/node-commonjs && npm install && npm test", + "examples:node:esmodules:test": "cd examples/node-esmodules && npm install && npm test", + "examples:node:jest:test": "cd examples/node-jest && npm install && npm test", + "prepare": "cd $( git rev-parse --show-toplevel ) && husky install", + "lint": "npm run eslint:check && npm run prettier:check", + "eslint:check": "eslint src/ test/ examples/ *.js", + "eslint:fix": "eslint --fix src/ test/ examples/ *.js", + "pretest": "[ -n $CI ] || npm run build", + "test": "BABEL_ENV=commonjsNode node --throw-deprecation node_modules/.bin/jest test/unit/", + "pretest:browser": "optional-dev-dependency && npm run build && npm-run-all --parallel examples:browser:**", + "test:browser": "wdio run ./wdio.conf.js", + "pretest:node": "npm run build", + "test:node": "npm-run-all --parallel examples:node:**", + "test:pack": "./scripts/testpack.sh", + "pretest:benchmark": "npm run build", + "test:benchmark": "cd examples/benchmark && npm install && npm test", + "prettier:check": "prettier --check '**/*.{js,jsx,json,md}'", + "prettier:fix": "prettier --write '**/*.{js,jsx,json,md}'", + "bundlewatch": "npm run pretest:browser && bundlewatch --config bundlewatch.config.json", + "md": "runmd --watch --output=README.md README_js.md", + "docs": "( node --version | grep -q 'v16' ) && ( npm run build && runmd --output=README.md README_js.md )", + "docs:diff": "npm run docs && git diff --quiet README.md", + "build": "./scripts/build.sh", + "prepack": "npm run build", + "release": "standard-version --no-verify" + }, + "repository": { + "type": "git", + "url": "https://github.com/uuidjs/uuid.git" + }, + "lint-staged": { + "*.{js,jsx,json,md}": [ + "prettier --write" + ], + "*.{js,jsx}": [ + "eslint --fix" + ] + }, + "standard-version": { + "scripts": { + "postchangelog": "prettier --write CHANGELOG.md" + } + } +} diff --git a/src/后端/node_modules/uuid/wrapper.mjs b/src/后端/node_modules/uuid/wrapper.mjs new file mode 100644 index 00000000..c31e9cef --- /dev/null +++ b/src/后端/node_modules/uuid/wrapper.mjs @@ -0,0 +1,10 @@ +import uuid from './dist/index.js'; +export const v1 = uuid.v1; +export const v3 = uuid.v3; +export const v4 = uuid.v4; +export const v5 = uuid.v5; +export const NIL = uuid.NIL; +export const version = uuid.version; +export const validate = uuid.validate; +export const stringify = uuid.stringify; +export const parse = uuid.parse; diff --git a/src/后端/package-lock.json b/src/后端/package-lock.json new file mode 100644 index 00000000..1be68437 --- /dev/null +++ b/src/后端/package-lock.json @@ -0,0 +1,27 @@ +{ + "name": "demo", + "lockfileVersion": 2, + "requires": true, + "packages": { + "": { + "dependencies": { + "uuid": "^9.0.0" + } + }, + "node_modules/uuid": { + "version": "9.0.0", + "resolved": "https://registry.npmjs.org/uuid/-/uuid-9.0.0.tgz", + "integrity": "sha512-MXcSTerfPa4uqyzStbRoTgt5XIe3x5+42+q1sDuy3R5MDk66URdLMOZe5aPX/SQd+kuYAh0FdP/pO28IkQyTeg==", + "bin": { + "uuid": "dist/bin/uuid" + } + } + }, + "dependencies": { + "uuid": { + "version": "9.0.0", + "resolved": "https://registry.npmjs.org/uuid/-/uuid-9.0.0.tgz", + "integrity": "sha512-MXcSTerfPa4uqyzStbRoTgt5XIe3x5+42+q1sDuy3R5MDk66URdLMOZe5aPX/SQd+kuYAh0FdP/pO28IkQyTeg==" + } + } +} diff --git a/src/后端/package.json b/src/后端/package.json new file mode 100644 index 00000000..47f7ccc1 --- /dev/null +++ b/src/后端/package.json @@ -0,0 +1,5 @@ +{ + "dependencies": { + "uuid": "^9.0.0" + } +} diff --git a/src/后端/pom.xml b/src/后端/pom.xml new file mode 100644 index 00000000..c098525a --- /dev/null +++ b/src/后端/pom.xml @@ -0,0 +1,93 @@ + + + 4.0.0 + + org.springframework.boot + spring-boot-starter-parent + 2.7.15 + + + com.example + demo + 0.0.1-SNAPSHOT + demo + demo + + 1.8 + + + + + + org.springframework.boot + spring-boot-starter-web + + + + com.mysql + mysql-connector-j + + + + com.baomidou + mybatis-plus-boot-starter + 3.5.3.1 + + + com.baomidou + mybatis-plus-generator + 3.5.3.1 + + + + org.freemarker + freemarker + + + + org.projectlombok + lombok + + + + org.python + jython-standalone + 2.7.3 + + + + cn.hutool + hutool-all + 5.8.18 + + + + org.springframework.boot + spring-boot-starter-data-redis + + + + + org.springframework.boot + spring-boot-starter-test + test + + + + com.alibaba.fastjson2 + fastjson2 + 2.0.7 + + + + + + + org.springframework.boot + spring-boot-maven-plugin + + + + + diff --git a/src/后端/src/main/java/com/com/example/demo/sys/DemoApplication.java b/src/后端/src/main/java/com/com/example/demo/sys/DemoApplication.java new file mode 100644 index 00000000..8fb9c7d4 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/DemoApplication.java @@ -0,0 +1,16 @@ +package com.com.example.demo.sys; + +import org.mybatis.spring.annotation.MapperScan; +import org.springframework.boot.SpringApplication; +import org.springframework.boot.autoconfigure.SpringBootApplication; +import org.springframework.context.annotation.ComponentScan; +import org.springframework.web.bind.annotation.CrossOrigin; + +@SpringBootApplication +@MapperScan("com.com.example.demo.sys.mapper") +public class DemoApplication { + public static void main(String[] args) { + SpringApplication.run(DemoApplication.class, args); + } + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/common/vo/Result.java b/src/后端/src/main/java/com/com/example/demo/sys/common/vo/Result.java new file mode 100644 index 00000000..6a4adc6a --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/common/vo/Result.java @@ -0,0 +1,56 @@ +package com.com.example.demo.sys.common.vo; + +import lombok.AllArgsConstructor; +import lombok.Data; +import lombok.NoArgsConstructor; +import org.springframework.web.bind.annotation.CrossOrigin; + +@Data +@NoArgsConstructor +@AllArgsConstructor +@CrossOrigin +public class Result { + private Integer code; + private String message; + private T data; + + public static Result success() + { + return new Result<>(20000,"success",null); + } + + public static Result success(T data) + { + return new Result<>(20000,"success",data); + } + + public static Result success(T data,String message) + { + return new Result<>(20000,message,data); + } + + public static Result success(String message) + { + return new Result<>(20000,message,null); + } + + public static Result fail() + { + return new Result<>(20001,"fail",null); + } + + public static Result fail(Integer code) + { + return new Result<>(code,"fail",null); + } + + public static Result fail(Integer code,String message) + { + return new Result<>(code,message,null); + } + + public static Result fail(String message) + { + return new Result<>(20001,message,null); + } +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/common/vo/output_result.py b/src/后端/src/main/java/com/com/example/demo/sys/common/vo/output_result.py new file mode 100644 index 00000000..66d3f96a --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/common/vo/output_result.py @@ -0,0 +1,34 @@ +import numpy as np +import cv2 +from PIL import Image +import tensorflow as tf +import sys + + +def load_single(dir, size): + read = lambda i: np.asarray(Image.open(i).convert("RGB")) + path = dir + img = read(path) + return np.array(cv2.resize(img, (size, size))) + + +def check(dir_pic, dir_model): + pic_test = dir_pic + # 转换为numpy格式 + img_test = load_single(pic_test, 224) + # 需要(1,224,224,3)这种格式输入 + img_test = np.expand_dims(img_test, axis=0) + + # 载入模型 + x = tf.keras.models.load_model(dir_model) + res = x.predict(img_test) + np.set_printoptions(suppress=True) + return f'{res[0][0] * 100 : .4f}%,{res[0][1] * 100 : .4f}%' + + +if __name__ == '__main__': + a = [] + for i in range(1, len(sys.argv)): + a.append(sys.argv[i]) + + print(check(a[0], a[1])) diff --git a/src/后端/src/main/java/com/com/example/demo/sys/common/vo/runmodel.java b/src/后端/src/main/java/com/com/example/demo/sys/common/vo/runmodel.java new file mode 100644 index 00000000..ab9048e2 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/common/vo/runmodel.java @@ -0,0 +1,38 @@ +package com.com.example.demo.sys.common.vo; + +import org.springframework.scheduling.annotation.Async; + +import java.io.BufferedReader; +import java.io.IOException; +import java.io.InputStreamReader; +import java.util.Arrays; + + +public class runmodel { + public static String get_percent(String dir_pic) throws IOException, InterruptedException { + // 自行设置相对路径即可 + // String dir_model = "C:\\Users\\thinkbook\\Desktop\\demo_1\\src\\main\\java\\model"; + // String py_dir = "C:\\Users\\thinkbook\\Desktop\\demo_1\\src\\main\\java\\org\\example\\output_result.py"; + String dir_model = "D:\\ruanjiangongc\\demo\\src\\main\\java\\model"; + String py_dir = "D:\\ruanjiangongc\\demo\\src\\main\\java\\com\\com\\example\\demo\\sys\\common\\vo\\output_result.py"; + + /** + * py_dir output_result文件所在位置 + * dir_pic 图片位置 + * dir_model 模型的位置 + */ + String[] path = new String[]{"python" , py_dir , dir_pic , dir_model}; + System.out.println(Arrays.toString(path)); + Process proc = Runtime.getRuntime().exec(path); + System.out.println(proc.waitFor()); + + BufferedReader in = new BufferedReader(new InputStreamReader(proc.getInputStream())); + String line = null; + String temp = null; + while ((line = in.readLine()) != null) temp = line; + assert temp != null; + String[] t = temp.split(","); + return "良性:" + t[0] + " 恶性:" + t[1]; + // return temp; + } +} \ No newline at end of file diff --git a/src/后端/src/main/java/com/com/example/demo/sys/controller/AuthAccess.java b/src/后端/src/main/java/com/com/example/demo/sys/controller/AuthAccess.java new file mode 100644 index 00000000..329b1902 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/controller/AuthAccess.java @@ -0,0 +1,4 @@ +package com.com.example.demo.sys.controller; + +public @interface AuthAccess { +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/controller/FileController.java b/src/后端/src/main/java/com/com/example/demo/sys/controller/FileController.java new file mode 100644 index 00000000..d037de68 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/controller/FileController.java @@ -0,0 +1,110 @@ +package com.com.example.demo.sys.controller; + +import cn.hutool.core.io.FileUtil; +import com.com.example.demo.sys.common.vo.Result; +import com.com.example.demo.sys.common.vo.runmodel; +import org.springframework.web.bind.annotation.*; +import org.springframework.web.multipart.MultipartFile; + +import javax.servlet.ServletOutputStream; +import javax.servlet.http.HttpServletResponse; +import java.io.File; +import java.io.IOException; + +import com.mathworks.toolbox.javabuilder.*; +import GetPictureIdentification.GetPictureIdentification; + + +@CrossOrigin +@RestController +@RequestMapping("/file") + +public class FileController { + + private static final String ROOT_PATH = "D:\\ruanjiangongc\\vue-admin-template-4.4.0\\vue_page\\src\\assets\\imgs"; + + // @RequestParam(value = "file", required = false) + @PostMapping("/upload") + public Result upload(@RequestParam(value = "file") MultipartFile file) { + if(file.isEmpty()) + { + return Result.fail(); + } + String originalFilename = file.getOriginalFilename(); //文件的原始名称 + String mainName = FileUtil.mainName(originalFilename); + String extName = FileUtil.extName(originalFilename); + if(!FileUtil.exist(ROOT_PATH)) + { + FileUtil.mkdir(ROOT_PATH); + } + if(FileUtil.exist(ROOT_PATH + File.separator + originalFilename)) //文件已存在 + { + originalFilename = System.currentTimeMillis() + mainName + "." + extName; + } + File saveFile = new File(ROOT_PATH + File.separator + originalFilename); + try { + file.transferTo(saveFile); //存储文件到本地磁盘里面 + String url = "http://localhost:9999/file/download/" + originalFilename; + String path = to_string(saveFile); + GetPictureIdentification gp = new GetPictureIdentification(); + gp.get_id_pic(path ,solve(path)); + // String path1 = "D:\\软件工程课设\\demo\\src\\main\\java\\com\\com\\example\\demo\\sys\\pic\\12345.png"; + // System.out.println(originalFilename); + String res = runmodel.get_percent(path); +// GetPictureIdentification gp = new GetPictureIdentification(); +// gp.get_id_pic(path ,solve(path)); + + // System.out.println(res); + // return Result.success(originalFilename,res); //返回结果 + return Result.success(solve(originalFilename),res); //返回结果 + + // return Result.success(url); //返回文件的连接 + // return Result.success(saveFile); //返回文件的路径 + } + catch (Exception e) + { + e.printStackTrace(); + return Result.fail(); + } +// String url = "http://localhost:9999/file/download/" + originalFilename; +// return Result.success(); //返回文件的连接 + } + + private String to_string(File saveFile) { + StringBuilder ans = new StringBuilder(); + String s = String.valueOf(saveFile); + for(int i=0;i getCancerInformation(String token){ + return informationQueryService.queryCancerInformation(token); + } + + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/controller/InformationQueryService.java b/src/后端/src/main/java/com/com/example/demo/sys/controller/InformationQueryService.java new file mode 100644 index 00000000..0dee402f --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/controller/InformationQueryService.java @@ -0,0 +1,58 @@ +package com.com.example.demo.sys.controller; + + + +import com.com.example.demo.sys.entity.CancerInformation; +import com.com.example.demo.sys.entity.CancerInformationProcessed; +import com.com.example.demo.sys.mapper.InformationQueryMapper; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.stereotype.Service; + +import java.util.ArrayList; +import java.util.List; + +@Service +public class InformationQueryService { + @Autowired + InformationQueryMapper informationQueryMapper; + + String cancerInformationCacheName = "cancerInformationByToken::"; + String cancerInformationLockName = "cancerInformationByTokenLock"; + + + public List queryCancerInformation(String token){ + List results = informationQueryMapper.queryCancerInformation(token); + + List res = new ArrayList<>(); + + StringBuilder totalStr = new StringBuilder(); + + for(int i=0;i + * 前端控制器 + *

+ * + * @author xht + * @since 2023-09-03 + */ +@Controller +@CrossOrigin +@RequestMapping("/sys/menu") +public class MenuController { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/controller/RoleController.java b/src/后端/src/main/java/com/com/example/demo/sys/controller/RoleController.java new file mode 100644 index 00000000..e15fc4af --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/controller/RoleController.java @@ -0,0 +1,20 @@ +package com.com.example.demo.sys.controller; + +import org.springframework.web.bind.annotation.CrossOrigin; +import org.springframework.web.bind.annotation.RequestMapping; +import org.springframework.stereotype.Controller; + +/** + *

+ * 前端控制器 + *

+ * + * @author xht + * @since 2023-09-03 + */ +@Controller +@CrossOrigin +@RequestMapping("/sys/role") +public class RoleController { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/controller/RoleMenuController.java b/src/后端/src/main/java/com/com/example/demo/sys/controller/RoleMenuController.java new file mode 100644 index 00000000..45d26112 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/controller/RoleMenuController.java @@ -0,0 +1,20 @@ +package com.com.example.demo.sys.controller; + +import org.springframework.web.bind.annotation.CrossOrigin; +import org.springframework.web.bind.annotation.RequestMapping; +import org.springframework.stereotype.Controller; + +/** + *

+ * 前端控制器 + *

+ * + * @author xht + * @since 2023-09-03 + */ +@Controller +@CrossOrigin +@RequestMapping("/sys/roleMenu") +public class RoleMenuController { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/controller/UserController.java b/src/后端/src/main/java/com/com/example/demo/sys/controller/UserController.java new file mode 100644 index 00000000..2fab71ac --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/controller/UserController.java @@ -0,0 +1,73 @@ +package com.com.example.demo.sys.controller; + +import com.com.example.demo.sys.common.vo.Result; +import com.com.example.demo.sys.entity.User; +import com.com.example.demo.sys.service.IUserService; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.web.bind.annotation.*; +import org.springframework.stereotype.Controller; + +import java.util.List; +import java.util.Map; + +/** + *

+ * 前端控制器 + *

+ * + * @author xht + * @since 2023-09-03 + */ +@RestController +@RequestMapping("/user") +@CrossOrigin //跨域处理 +public class UserController { + + @Autowired + private IUserService userService; + + @GetMapping("/all") + +// public List getAllUser() +// { +// List list = userService.list(); +// return list; +// } + public Result> getAllUser() + { + List list = userService.list(); + return Result.success(list,"查询成功"); + } + + @PostMapping("/login") + public Result> login(@RequestBody User user) + { + Map data = userService.login(user); + if(data != null) + { + return Result.success(data); + } + + return Result.fail(20002,"用户名或密码错误"); + } + + @GetMapping("/info") + public Result> getUserInfo(@RequestParam("token") String token) + { + //根据token来获取用户信息,从redis获取 + Map data = userService.getUserInfo(token); + if(data != null) + { + return Result.success(data); + } + + return Result.fail(20003,"无效的用户登录,请重新登录"); + } + + @PostMapping("/logout") + public Result logout(@RequestHeader("X-Token") String token) + { + userService.logout(token); + return Result.success(); + } +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/controller/UserRoleController.java b/src/后端/src/main/java/com/com/example/demo/sys/controller/UserRoleController.java new file mode 100644 index 00000000..970f02cc --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/controller/UserRoleController.java @@ -0,0 +1,20 @@ +package com.com.example.demo.sys.controller; + +import org.springframework.web.bind.annotation.CrossOrigin; +import org.springframework.web.bind.annotation.RequestMapping; +import org.springframework.stereotype.Controller; + +/** + *

+ * 前端控制器 + *

+ * + * @author xht + * @since 2023-09-03 + */ +@Controller +@CrossOrigin +@RequestMapping("/sys/userRole") +public class UserRoleController { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/controller/WebController.java b/src/后端/src/main/java/com/com/example/demo/sys/controller/WebController.java new file mode 100644 index 00000000..33cba1b2 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/controller/WebController.java @@ -0,0 +1,32 @@ +//package com.com.example.demo.sys.controller; +// +//import com.com.example.demo.sys.common.vo.Result; +//import com.com.example.demo.sys.entity.User; +//import com.com.example.demo.sys.service.IUserService; +//import org.springframework.web.bind.annotation.GetMapping; +//import org.springframework.web.bind.annotation.PostMapping; +//import org.springframework.web.bind.annotation.RequestBody; +//import org.springframework.web.bind.annotation.RestController; +// +//import javax.annotation.Resource; +//import java.util.Map; +// +//@RestController +//public class WebController { +// @Resource +// IUserService userService; +// +// @GetMapping("/") +// public Result hello(){return Result.success("success");} +// +// @PostMapping("/login") +// public Result login(@RequestBody User user) +// { +// if(user.getUsername() == null || user.getUsername().isEmpty()) +// { +// return Result.fail(20003,"无效的用户登录,请重新登录"); +// } +// Map data = userService.login(user); +// return Result.success(data); +// } +//} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/entity/CancerInformation.java b/src/后端/src/main/java/com/com/example/demo/sys/entity/CancerInformation.java new file mode 100644 index 00000000..4e61103e --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/entity/CancerInformation.java @@ -0,0 +1,20 @@ +package com.com.example.demo.sys.entity; + +import lombok.Data; +import lombok.ToString; +import org.springframework.stereotype.Component; + +@Component +@Data +@ToString +public class CancerInformation { + private int id; + private String name; + private String impact; + private String summary; + private String symptom; + private String factor; + private String judge; + private String heal; + private String setTotalStr; +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/entity/CancerInformationProcessed.java b/src/后端/src/main/java/com/com/example/demo/sys/entity/CancerInformationProcessed.java new file mode 100644 index 00000000..9fd9c921 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/entity/CancerInformationProcessed.java @@ -0,0 +1,20 @@ +package com.com.example.demo.sys.entity; + +import lombok.Data; +import lombok.ToString; +import org.springframework.stereotype.Component; + +@Component +@Data +@ToString +public class CancerInformationProcessed { + private int id; + private String name; + private String[] impact; + private String[] summary; + private String[] symptom; + private String[] factor; + private String[] judge; + private String[] heal; + private String totalStr; +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/entity/Menu.java b/src/后端/src/main/java/com/com/example/demo/sys/entity/Menu.java new file mode 100644 index 00000000..ef147c73 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/entity/Menu.java @@ -0,0 +1,140 @@ +package com.com.example.demo.sys.entity; + +import com.baomidou.mybatisplus.annotation.IdType; +import com.baomidou.mybatisplus.annotation.TableId; +import com.baomidou.mybatisplus.annotation.TableName; +import org.springframework.web.bind.annotation.CrossOrigin; + +import java.io.Serializable; + +/** + *

+ * + *

+ * + * @author xht + * @since 2023-09-03 + */ +@TableName("x_menu") +@CrossOrigin +public class Menu implements Serializable { + + private static final long serialVersionUID = 1L; + + @TableId(value = "menu_id", type = IdType.AUTO) + private Integer menuId; + + private String component; + + private String path; + + private String redirect; + + private String name; + + private String title; + + private String icon; + + private Integer parentId; + + private String isLeaf; + + private Boolean hidden; + + public Integer getMenuId() { + return menuId; + } + + public void setMenuId(Integer menuId) { + this.menuId = menuId; + } + + public String getComponent() { + return component; + } + + public void setComponent(String component) { + this.component = component; + } + + public String getPath() { + return path; + } + + public void setPath(String path) { + this.path = path; + } + + public String getRedirect() { + return redirect; + } + + public void setRedirect(String redirect) { + this.redirect = redirect; + } + + public String getName() { + return name; + } + + public void setName(String name) { + this.name = name; + } + + public String getTitle() { + return title; + } + + public void setTitle(String title) { + this.title = title; + } + + public String getIcon() { + return icon; + } + + public void setIcon(String icon) { + this.icon = icon; + } + + public Integer getParentId() { + return parentId; + } + + public void setParentId(Integer parentId) { + this.parentId = parentId; + } + + public String getIsLeaf() { + return isLeaf; + } + + public void setIsLeaf(String isLeaf) { + this.isLeaf = isLeaf; + } + + public Boolean getHidden() { + return hidden; + } + + public void setHidden(Boolean hidden) { + this.hidden = hidden; + } + + @Override + public String toString() { + return "Menu{" + + "menuId = " + menuId + + ", component = " + component + + ", path = " + path + + ", redirect = " + redirect + + ", name = " + name + + ", title = " + title + + ", icon = " + icon + + ", parentId = " + parentId + + ", isLeaf = " + isLeaf + + ", hidden = " + hidden + + "}"; + } +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/entity/Role.java b/src/后端/src/main/java/com/com/example/demo/sys/entity/Role.java new file mode 100644 index 00000000..dc476d76 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/entity/Role.java @@ -0,0 +1,63 @@ +package com.com.example.demo.sys.entity; + +import com.baomidou.mybatisplus.annotation.IdType; +import com.baomidou.mybatisplus.annotation.TableId; +import com.baomidou.mybatisplus.annotation.TableName; +import org.springframework.web.bind.annotation.CrossOrigin; + +import java.io.Serializable; + +/** + *

+ * + *

+ * + * @author xht + * @since 2023-09-03 + */ +@TableName("x_role") +@CrossOrigin +public class Role implements Serializable { + + private static final long serialVersionUID = 1L; + + @TableId(value = "role_id", type = IdType.AUTO) + private Integer roleId; + + private String roleName; + + private String roleDesc; + + public Integer getRoleId() { + return roleId; + } + + public void setRoleId(Integer roleId) { + this.roleId = roleId; + } + + public String getRoleName() { + return roleName; + } + + public void setRoleName(String roleName) { + this.roleName = roleName; + } + + public String getRoleDesc() { + return roleDesc; + } + + public void setRoleDesc(String roleDesc) { + this.roleDesc = roleDesc; + } + + @Override + public String toString() { + return "Role{" + + "roleId = " + roleId + + ", roleName = " + roleName + + ", roleDesc = " + roleDesc + + "}"; + } +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/entity/RoleMenu.java b/src/后端/src/main/java/com/com/example/demo/sys/entity/RoleMenu.java new file mode 100644 index 00000000..40de2e6e --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/entity/RoleMenu.java @@ -0,0 +1,63 @@ +package com.com.example.demo.sys.entity; + +import com.baomidou.mybatisplus.annotation.IdType; +import com.baomidou.mybatisplus.annotation.TableId; +import com.baomidou.mybatisplus.annotation.TableName; +import org.springframework.web.bind.annotation.CrossOrigin; + +import java.io.Serializable; + +/** + *

+ * + *

+ * + * @author xht + * @since 2023-09-03 + */ +@TableName("x_role_menu") +@CrossOrigin +public class RoleMenu implements Serializable { + + private static final long serialVersionUID = 1L; + + @TableId(value = "id", type = IdType.AUTO) + private Integer id; + + private Integer roleId; + + private Integer menuId; + + public Integer getId() { + return id; + } + + public void setId(Integer id) { + this.id = id; + } + + public Integer getRoleId() { + return roleId; + } + + public void setRoleId(Integer roleId) { + this.roleId = roleId; + } + + public Integer getMenuId() { + return menuId; + } + + public void setMenuId(Integer menuId) { + this.menuId = menuId; + } + + @Override + public String toString() { + return "RoleMenu{" + + "id = " + id + + ", roleId = " + roleId + + ", menuId = " + menuId + + "}"; + } +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/entity/User.java b/src/后端/src/main/java/com/com/example/demo/sys/entity/User.java new file mode 100644 index 00000000..4730b04c --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/entity/User.java @@ -0,0 +1,118 @@ +package com.com.example.demo.sys.entity; + +import com.baomidou.mybatisplus.annotation.IdType; +import com.baomidou.mybatisplus.annotation.TableId; +import com.baomidou.mybatisplus.annotation.TableName; +import org.springframework.web.bind.annotation.CrossOrigin; + +import java.io.Serializable; + +/** + *

+ * + *

+ * + * @author xht + * @since 2023-09-03 + */ +@TableName("x_user") +@CrossOrigin +public class User implements Serializable { + + private static final long serialVersionUID = 1L; + + @TableId(value = "id", type = IdType.AUTO) + private Integer id; + + private String username; + + private String password; + + private String email; + + private String phone; + + private Integer status; + + private String avatar; + + private Integer deleted; + + public Integer getId() { + return id; + } + + public void setId(Integer id) { + this.id = id; + } + + public String getUsername() { + return username; + } + + public void setUsername(String username) { + this.username = username; + } + + public String getPassword() { + return password; + } + + public void setPassword(String password) { + this.password = password; + } + + public String getEmail() { + return email; + } + + public void setEmail(String email) { + this.email = email; + } + + public String getPhone() { + return phone; + } + + public void setPhone(String phone) { + this.phone = phone; + } + + public Integer getStatus() { + return status; + } + + public void setStatus(Integer status) { + this.status = status; + } + + public String getAvatar() { + return avatar; + } + + public void setAvatar(String avatar) { + this.avatar = avatar; + } + + public Integer getDeleted() { + return deleted; + } + + public void setDeleted(Integer deleted) { + this.deleted = deleted; + } + + @Override + public String toString() { + return "User{" + + "id = " + id + + ", username = " + username + + ", password = " + password + + ", email = " + email + + ", phone = " + phone + + ", status = " + status + + ", avatar = " + avatar + + ", deleted = " + deleted + + "}"; + } +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/entity/UserRole.java b/src/后端/src/main/java/com/com/example/demo/sys/entity/UserRole.java new file mode 100644 index 00000000..c8169def --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/entity/UserRole.java @@ -0,0 +1,63 @@ +package com.com.example.demo.sys.entity; + +import com.baomidou.mybatisplus.annotation.IdType; +import com.baomidou.mybatisplus.annotation.TableId; +import com.baomidou.mybatisplus.annotation.TableName; +import org.springframework.web.bind.annotation.CrossOrigin; + +import java.io.Serializable; + +/** + *

+ * + *

+ * + * @author xht + * @since 2023-09-03 + */ +@TableName("x_user_role") +@CrossOrigin +public class UserRole implements Serializable { + + private static final long serialVersionUID = 1L; + + @TableId(value = "id", type = IdType.AUTO) + private Integer id; + + private Integer userId; + + private Integer roleId; + + public Integer getId() { + return id; + } + + public void setId(Integer id) { + this.id = id; + } + + public Integer getUserId() { + return userId; + } + + public void setUserId(Integer userId) { + this.userId = userId; + } + + public Integer getRoleId() { + return roleId; + } + + public void setRoleId(Integer roleId) { + this.roleId = roleId; + } + + @Override + public String toString() { + return "UserRole{" + + "id = " + id + + ", userId = " + userId + + ", roleId = " + roleId + + "}"; + } +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/mapper/InformationQueryMapper.java b/src/后端/src/main/java/com/com/example/demo/sys/mapper/InformationQueryMapper.java new file mode 100644 index 00000000..0b556334 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/mapper/InformationQueryMapper.java @@ -0,0 +1,12 @@ +package com.com.example.demo.sys.mapper; + + +import com.com.example.demo.sys.entity.CancerInformation; +import org.apache.ibatis.annotations.Mapper; + +import java.util.List; + +@Mapper +public interface InformationQueryMapper { + public List queryCancerInformation(String token); +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/mapper/MenuMapper.java b/src/后端/src/main/java/com/com/example/demo/sys/mapper/MenuMapper.java new file mode 100644 index 00000000..d765d633 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/mapper/MenuMapper.java @@ -0,0 +1,16 @@ +package com.com.example.demo.sys.mapper; + +import com.com.example.demo.sys.entity.Menu; +import com.baomidou.mybatisplus.core.mapper.BaseMapper; + +/** + *

+ * Mapper 接口 + *

+ * + * @author xht + * @since 2023-09-03 + */ +public interface MenuMapper extends BaseMapper { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/mapper/RoleMapper.java b/src/后端/src/main/java/com/com/example/demo/sys/mapper/RoleMapper.java new file mode 100644 index 00000000..9ce94c98 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/mapper/RoleMapper.java @@ -0,0 +1,16 @@ +package com.com.example.demo.sys.mapper; + +import com.com.example.demo.sys.entity.Role; +import com.baomidou.mybatisplus.core.mapper.BaseMapper; + +/** + *

+ * Mapper 接口 + *

+ * + * @author xht + * @since 2023-09-03 + */ +public interface RoleMapper extends BaseMapper { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/mapper/RoleMenuMapper.java b/src/后端/src/main/java/com/com/example/demo/sys/mapper/RoleMenuMapper.java new file mode 100644 index 00000000..60d84e2f --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/mapper/RoleMenuMapper.java @@ -0,0 +1,16 @@ +package com.com.example.demo.sys.mapper; + +import com.com.example.demo.sys.entity.RoleMenu; +import com.baomidou.mybatisplus.core.mapper.BaseMapper; + +/** + *

+ * Mapper 接口 + *

+ * + * @author xht + * @since 2023-09-03 + */ +public interface RoleMenuMapper extends BaseMapper { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/mapper/UserMapper.java b/src/后端/src/main/java/com/com/example/demo/sys/mapper/UserMapper.java new file mode 100644 index 00000000..d74d7cd9 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/mapper/UserMapper.java @@ -0,0 +1,19 @@ +package com.com.example.demo.sys.mapper; + +import com.com.example.demo.sys.entity.User; +import com.baomidou.mybatisplus.core.mapper.BaseMapper; +import org.apache.ibatis.annotations.Select; + +import java.util.List; + +/** + *

+ * Mapper 接口 + *

+ * + * @author xht + * @since 2023-09-03 + */ +public interface UserMapper extends BaseMapper { + public List getRoleNameByUserId(Integer userId); +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/mapper/UserRoleMapper.java b/src/后端/src/main/java/com/com/example/demo/sys/mapper/UserRoleMapper.java new file mode 100644 index 00000000..2b76b3cd --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/mapper/UserRoleMapper.java @@ -0,0 +1,16 @@ +package com.com.example.demo.sys.mapper; + +import com.com.example.demo.sys.entity.UserRole; +import com.baomidou.mybatisplus.core.mapper.BaseMapper; + +/** + *

+ * Mapper 接口 + *

+ * + * @author xht + * @since 2023-09-03 + */ +public interface UserRoleMapper extends BaseMapper { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/pic/12345.png b/src/后端/src/main/java/com/com/example/demo/sys/pic/12345.png new file mode 100644 index 00000000..57c6bcaf Binary files /dev/null and b/src/后端/src/main/java/com/com/example/demo/sys/pic/12345.png differ diff --git a/src/后端/src/main/java/com/com/example/demo/sys/service/IMenuService.java b/src/后端/src/main/java/com/com/example/demo/sys/service/IMenuService.java new file mode 100644 index 00000000..788202b0 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/service/IMenuService.java @@ -0,0 +1,16 @@ +package com.com.example.demo.sys.service; + +import com.com.example.demo.sys.entity.Menu; +import com.baomidou.mybatisplus.extension.service.IService; + +/** + *

+ * 服务类 + *

+ * + * @author xht + * @since 2023-09-03 + */ +public interface IMenuService extends IService { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/service/IRoleMenuService.java b/src/后端/src/main/java/com/com/example/demo/sys/service/IRoleMenuService.java new file mode 100644 index 00000000..1a1de08d --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/service/IRoleMenuService.java @@ -0,0 +1,16 @@ +package com.com.example.demo.sys.service; + +import com.com.example.demo.sys.entity.RoleMenu; +import com.baomidou.mybatisplus.extension.service.IService; + +/** + *

+ * 服务类 + *

+ * + * @author xht + * @since 2023-09-03 + */ +public interface IRoleMenuService extends IService { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/service/IRoleService.java b/src/后端/src/main/java/com/com/example/demo/sys/service/IRoleService.java new file mode 100644 index 00000000..ff0efc4e --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/service/IRoleService.java @@ -0,0 +1,16 @@ +package com.com.example.demo.sys.service; + +import com.com.example.demo.sys.entity.Role; +import com.baomidou.mybatisplus.extension.service.IService; + +/** + *

+ * 服务类 + *

+ * + * @author xht + * @since 2023-09-03 + */ +public interface IRoleService extends IService { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/service/IUserRoleService.java b/src/后端/src/main/java/com/com/example/demo/sys/service/IUserRoleService.java new file mode 100644 index 00000000..247bc17e --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/service/IUserRoleService.java @@ -0,0 +1,16 @@ +package com.com.example.demo.sys.service; + +import com.com.example.demo.sys.entity.UserRole; +import com.baomidou.mybatisplus.extension.service.IService; + +/** + *

+ * 服务类 + *

+ * + * @author xht + * @since 2023-09-03 + */ +public interface IUserRoleService extends IService { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/service/IUserService.java b/src/后端/src/main/java/com/com/example/demo/sys/service/IUserService.java new file mode 100644 index 00000000..5ba092e8 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/service/IUserService.java @@ -0,0 +1,23 @@ +package com.com.example.demo.sys.service; + +import com.com.example.demo.sys.entity.User; +import com.baomidou.mybatisplus.extension.service.IService; + +import java.util.Map; + +/** + *

+ * 服务类 + *

+ * + * @author xht + * @since 2023-09-03 + */ +public interface IUserService extends IService { + + Map login(User user); + + Map getUserInfo(String token); + + void logout(String token); +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/service/impl/MenuServiceImpl.java b/src/后端/src/main/java/com/com/example/demo/sys/service/impl/MenuServiceImpl.java new file mode 100644 index 00000000..462f4ec0 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/service/impl/MenuServiceImpl.java @@ -0,0 +1,22 @@ +package com.com.example.demo.sys.service.impl; + +import com.com.example.demo.sys.entity.Menu; +import com.com.example.demo.sys.mapper.MenuMapper; +import com.com.example.demo.sys.service.IMenuService; +import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl; +import org.springframework.stereotype.Service; +import org.springframework.web.bind.annotation.CrossOrigin; + +/** + *

+ * 服务实现类 + *

+ * + * @author xht + * @since 2023-09-03 + */ +@Service +@CrossOrigin +public class MenuServiceImpl extends ServiceImpl implements IMenuService { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/service/impl/RoleMenuServiceImpl.java b/src/后端/src/main/java/com/com/example/demo/sys/service/impl/RoleMenuServiceImpl.java new file mode 100644 index 00000000..3b699739 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/service/impl/RoleMenuServiceImpl.java @@ -0,0 +1,22 @@ +package com.com.example.demo.sys.service.impl; + +import com.com.example.demo.sys.entity.RoleMenu; +import com.com.example.demo.sys.mapper.RoleMenuMapper; +import com.com.example.demo.sys.service.IRoleMenuService; +import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl; +import org.springframework.stereotype.Service; +import org.springframework.web.bind.annotation.CrossOrigin; + +/** + *

+ * 服务实现类 + *

+ * + * @author xht + * @since 2023-09-03 + */ +@Service +@CrossOrigin +public class RoleMenuServiceImpl extends ServiceImpl implements IRoleMenuService { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/service/impl/RoleServiceImpl.java b/src/后端/src/main/java/com/com/example/demo/sys/service/impl/RoleServiceImpl.java new file mode 100644 index 00000000..fa25be1f --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/service/impl/RoleServiceImpl.java @@ -0,0 +1,22 @@ +package com.com.example.demo.sys.service.impl; + +import com.com.example.demo.sys.entity.Role; +import com.com.example.demo.sys.mapper.RoleMapper; +import com.com.example.demo.sys.service.IRoleService; +import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl; +import org.springframework.stereotype.Service; +import org.springframework.web.bind.annotation.CrossOrigin; + +/** + *

+ * 服务实现类 + *

+ * + * @author xht + * @since 2023-09-03 + */ +@Service +@CrossOrigin +public class RoleServiceImpl extends ServiceImpl implements IRoleService { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/service/impl/UserRoleServiceImpl.java b/src/后端/src/main/java/com/com/example/demo/sys/service/impl/UserRoleServiceImpl.java new file mode 100644 index 00000000..96437982 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/service/impl/UserRoleServiceImpl.java @@ -0,0 +1,22 @@ +package com.com.example.demo.sys.service.impl; + +import com.com.example.demo.sys.entity.UserRole; +import com.com.example.demo.sys.mapper.UserRoleMapper; +import com.com.example.demo.sys.service.IUserRoleService; +import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl; +import org.springframework.stereotype.Service; +import org.springframework.web.bind.annotation.CrossOrigin; + +/** + *

+ * 服务实现类 + *

+ * + * @author xht + * @since 2023-09-03 + */ +@Service +@CrossOrigin +public class UserRoleServiceImpl extends ServiceImpl implements IUserRoleService { + +} diff --git a/src/后端/src/main/java/com/com/example/demo/sys/service/impl/UserServiceImpl.java b/src/后端/src/main/java/com/com/example/demo/sys/service/impl/UserServiceImpl.java new file mode 100644 index 00000000..d0e043f7 --- /dev/null +++ b/src/后端/src/main/java/com/com/example/demo/sys/service/impl/UserServiceImpl.java @@ -0,0 +1,94 @@ +package com.com.example.demo.sys.service.impl; + +import com.alibaba.fastjson2.JSON; +import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper; +import com.baomidou.mybatisplus.extension.conditions.query.LambdaQueryChainWrapper; +import com.com.example.demo.sys.entity.User; +import com.com.example.demo.sys.mapper.UserMapper; +import com.com.example.demo.sys.service.IUserService; +import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.data.redis.core.RedisTemplate; +import org.springframework.stereotype.Service; +import org.springframework.web.bind.annotation.CrossOrigin; + + +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.UUID; +import java.util.concurrent.TimeUnit; + + +/** + *

+ * 服务实现类 + *

+ * + * @author xht + * @since 2023-09-03 + */ +@CrossOrigin +@Service +public class UserServiceImpl extends ServiceImpl implements IUserService { + + @Autowired + private RedisTemplate redisTemplate; + + @Override + public Map login(User user) { + + // UserMapper.selectByUsername(user.getUsername()); + //根据用户名和密码查询 + LambdaQueryWrapper wrapper = new LambdaQueryWrapper<>(); + wrapper.eq(User::getUsername,user.getUsername()); + wrapper.eq(User::getPassword,user.getPassword()); + User loginUser = this.baseMapper.selectOne(wrapper); + + //结果不为空,则生成token,并将用户信息存入redis + if(loginUser != null) + { + //暂时用UID,终极方案是jwt + String key = "user:" + UUID.randomUUID(); + + //存入redis + loginUser.setPassword(null); + redisTemplate.opsForValue().set(key,loginUser,30, TimeUnit.MINUTES); + + + //返回数据 + Map data = new HashMap<>(); + data.put("token",key); + return data; + } + + + return null; + + } + + @Override + public Map getUserInfo(String token) { + //根据token获取redis信息 + Object obj = redisTemplate.opsForValue().get(token); + if(obj != null) + { + User loginUser = JSON.parseObject(JSON.toJSONString(obj),User.class); + Map data = new HashMap<>(); + data.put("name",loginUser.getUsername()); + data.put("avatar",loginUser.getAvatar()); + + //角色 + List roleList = this.baseMapper.getRoleNameByUserId(loginUser.getId()); + data.put("roles",roleList); + + return data; + } + return null; + } + + @Override + public void logout(String token) { + redisTemplate.delete(token); + } +} diff --git a/src/后端/src/main/java/com/config/CorsConfiguration.java b/src/后端/src/main/java/com/config/CorsConfiguration.java new file mode 100644 index 00000000..f840a030 --- /dev/null +++ b/src/后端/src/main/java/com/config/CorsConfiguration.java @@ -0,0 +1,19 @@ +package com.config; + +import org.springframework.context.annotation.Configuration; +import org.springframework.web.servlet.config.annotation.CorsRegistry; +import org.springframework.web.servlet.config.annotation.WebMvcConfigurer; + +//@Configuration +public class CorsConfiguration implements WebMvcConfigurer { + @Override + public void addCorsMappings(CorsRegistry registry) + { + registry.addMapping(("/**")) + .allowedOrigins("*") + .allowedMethods("*") + .allowCredentials(true) + .maxAge(3600) + .allowedHeaders("*"); + } +} diff --git a/src/后端/src/main/java/com/config/MyRedisConfig.java b/src/后端/src/main/java/com/config/MyRedisConfig.java new file mode 100644 index 00000000..ad772c3b --- /dev/null +++ b/src/后端/src/main/java/com/config/MyRedisConfig.java @@ -0,0 +1,55 @@ +package com.config; + +import com.fasterxml.jackson.annotation.JsonAutoDetect; +import com.fasterxml.jackson.annotation.JsonInclude; +import com.fasterxml.jackson.annotation.JsonTypeInfo; +import com.fasterxml.jackson.annotation.PropertyAccessor; +import com.fasterxml.jackson.databind.DeserializationFeature; +import com.fasterxml.jackson.databind.MapperFeature; +import com.fasterxml.jackson.databind.ObjectMapper; +import com.fasterxml.jackson.databind.SerializationFeature; +import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator; +import org.springframework.context.annotation.Bean; +import org.springframework.context.annotation.Configuration; +import org.springframework.data.redis.connection.RedisConnectionFactory; +import org.springframework.data.redis.core.RedisTemplate; +import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer; +import org.springframework.data.redis.serializer.StringRedisSerializer; +import org.springframework.web.bind.annotation.CrossOrigin; + +import javax.annotation.Resource; +import java.text.SimpleDateFormat; +import java.util.TimeZone; + +@Configuration +@CrossOrigin +public class MyRedisConfig { + + @Resource + private RedisConnectionFactory factory; + + @Bean + public RedisTemplate redisTemplate() + { + RedisTemplate redisTemplate = new RedisTemplate<>(); + redisTemplate.setConnectionFactory(factory); + + redisTemplate.setKeySerializer(new StringRedisSerializer()); + + Jackson2JsonRedisSerializer serializer = new Jackson2JsonRedisSerializer(Object.class); + redisTemplate.setValueSerializer(serializer); + + ObjectMapper om = new ObjectMapper(); + om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); + om.setDateFormat(new SimpleDateFormat("yyyy-MM-dd HH:mm:ss")); + om.setTimeZone(TimeZone.getDefault()); + om.configure(MapperFeature.USE_ANNOTATIONS, false); + om.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false); + om.configure(SerializationFeature.FAIL_ON_EMPTY_BEANS, false); + om.activateDefaultTyping(LaissezFaireSubTypeValidator.instance ,ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY); + om.setSerializationInclusion(JsonInclude.Include.NON_NULL); + serializer.setObjectMapper(om); + + return redisTemplate; + } +} diff --git a/src/后端/src/main/java/com/config/MycorsConfig.java b/src/后端/src/main/java/com/config/MycorsConfig.java new file mode 100644 index 00000000..c18029cb --- /dev/null +++ b/src/后端/src/main/java/com/config/MycorsConfig.java @@ -0,0 +1,41 @@ +package com.config; + +import org.springframework.context.annotation.Bean; +import org.springframework.context.annotation.Configuration; +import org.springframework.web.bind.annotation.CrossOrigin; +import org.springframework.web.cors.CorsConfiguration; +import org.springframework.web.cors.CorsConfigurationSource; +import org.springframework.web.cors.UrlBasedCorsConfigurationSource; +import org.springframework.web.filter.CorsFilter; + +//@Configuration +public class MycorsConfig { + @Bean + public CorsFilter corsFilter(){ + //1.添加CORS配置信息 + CorsConfiguration config = new CorsConfiguration(); + //1) 允许的域,不要写*,否则cookie就无法使用了 + config.addAllowedOrigin("*"); //这里填写请求的前端服务器 + //2) 是否发送Cookie信息 + config.setAllowCredentials(true); + //3) 允许的请求方式 + config.addAllowedMethod("OPTIONS"); + config.addAllowedMethod("HEAD"); + config.addAllowedMethod("GET"); + config.addAllowedMethod("PUT"); + config.addAllowedMethod("POST"); + config.addAllowedMethod("DELETE"); + config.addAllowedMethod("PATCH"); + // 4)允许的头信息 + config.addAllowedHeader("*"); + config.addAllowedOriginPattern("*"); + config.addExposedHeader("*"); + + //2.添加映射路径,我们拦截一切请求 + UrlBasedCorsConfigurationSource configSource = new UrlBasedCorsConfigurationSource(); + configSource.registerCorsConfiguration("/**", config); + + //3.返回新的CorsFilter. + return new CorsFilter(configSource); + } +} diff --git a/src/后端/src/main/java/model/fingerprint.pb b/src/后端/src/main/java/model/fingerprint.pb new file mode 100644 index 00000000..4a5f940b --- /dev/null +++ b/src/后端/src/main/java/model/fingerprint.pb @@ -0,0 +1 @@ +ȥƛ<ʝb٫乖 ˬɧ(Ōϴ2 \ No newline at end of file diff --git a/src/后端/src/main/java/model/keras_metadata.pb b/src/后端/src/main/java/model/keras_metadata.pb new file mode 100644 index 00000000..d2085790 --- /dev/null +++ b/src/后端/src/main/java/model/keras_metadata.pb @@ -0,0 +1,1270 @@ + ++root"_tf_keras_sequential*+{"name": "sequential", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": false, "class_name": "Sequential", "config": {"name": "sequential", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": {"class_name": "__tuple__", "items": [null, 224, 224, 3]}, "dtype": "float32", "sparse": false, "ragged": false, "name": "densenet201_input"}}, {"class_name": "Functional", "config": {"name": "densenet201", "trainable": true, "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": {"class_name": "__tuple__", "items": [null, 224, 224, 3]}, "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}, "name": "input_1", "inbound_nodes": []}, {"class_name": "ZeroPadding2D", "config": {"name": "zero_padding2d", "trainable": true, "dtype": "float32", "padding": {"class_name": "__tuple__", 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"preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block6_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 239}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 240}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block6_0_relu", 0, 0, {}]]], "shared_object_id": 241, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 288}}, "shared_object_id": 1983}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 288]}}2 + +j/root.layer_with_weights-0.layer_with_weights-50"_tf_keras_layer* {"name": "conv3_block6_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block6_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 242}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 243}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 244}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 245}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block6_1_conv", 0, 0, {}]]], "shared_object_id": 246, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 1984}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +k"root.layer_with_weights-0.layer-92"_tf_keras_layer*{"name": "conv3_block6_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block6_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block6_1_bn", 0, 0, {}]]], "shared_object_id": 247, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 + +l/root.layer_with_weights-0.layer_with_weights-51"_tf_keras_layer* +{"name": "conv3_block6_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block6_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 248}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 249}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block6_1_relu", 0, 0, {}]]], "shared_object_id": 250, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 1985}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +m"root.layer_with_weights-0.layer-94"_tf_keras_layer*{"name": "conv3_block6_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv3_block6_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv3_block5_concat", 0, 0, {}], ["conv3_block6_2_conv", 0, 0, {}]]], "shared_object_id": 251, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 28, 28, 288]}, {"class_name": "TensorShape", "items": [null, 28, 28, 32]}]}2 + +n/root.layer_with_weights-0.layer_with_weights-52"_tf_keras_layer* {"name": "conv3_block7_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block7_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 252}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 253}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 254}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 255}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block6_concat", 0, 0, {}]]], "shared_object_id": 256, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 320}}, "shared_object_id": 1986}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 320]}}2 +o"root.layer_with_weights-0.layer-96"_tf_keras_layer*{"name": "conv3_block7_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block7_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block7_0_bn", 0, 0, {}]]], "shared_object_id": 257, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 320]}}2 + +p/root.layer_with_weights-0.layer_with_weights-53"_tf_keras_layer* +{"name": "conv3_block7_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block7_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 258}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 259}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block7_0_relu", 0, 0, {}]]], "shared_object_id": 260, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 320}}, "shared_object_id": 1987}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 320]}}2 + +q/root.layer_with_weights-0.layer_with_weights-54"_tf_keras_layer* {"name": "conv3_block7_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block7_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 261}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 262}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 263}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 264}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block7_1_conv", 0, 0, {}]]], "shared_object_id": 265, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 1988}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +r"root.layer_with_weights-0.layer-99"_tf_keras_layer*{"name": "conv3_block7_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block7_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block7_1_bn", 0, 0, {}]]], "shared_object_id": 266, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 + +s/root.layer_with_weights-0.layer_with_weights-55"_tf_keras_layer* +{"name": "conv3_block7_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block7_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 267}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 268}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block7_1_relu", 0, 0, {}]]], "shared_object_id": 269, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 1989}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +t#root.layer_with_weights-0.layer-101"_tf_keras_layer*{"name": "conv3_block7_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv3_block7_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv3_block6_concat", 0, 0, {}], ["conv3_block7_2_conv", 0, 0, {}]]], "shared_object_id": 270, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 28, 28, 320]}, {"class_name": "TensorShape", "items": [null, 28, 28, 32]}]}2 + +u/root.layer_with_weights-0.layer_with_weights-56"_tf_keras_layer* {"name": "conv3_block8_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block8_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 271}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 272}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 273}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 274}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block7_concat", 0, 0, {}]]], "shared_object_id": 275, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 352}}, "shared_object_id": 1990}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 352]}}2 +v#root.layer_with_weights-0.layer-103"_tf_keras_layer*{"name": "conv3_block8_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block8_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block8_0_bn", 0, 0, {}]]], "shared_object_id": 276, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 352]}}2 + +w/root.layer_with_weights-0.layer_with_weights-57"_tf_keras_layer* +{"name": "conv3_block8_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block8_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 277}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 278}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block8_0_relu", 0, 0, {}]]], "shared_object_id": 279, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 352}}, "shared_object_id": 1991}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 352]}}2 + +x/root.layer_with_weights-0.layer_with_weights-58"_tf_keras_layer* {"name": "conv3_block8_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block8_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 280}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 281}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 282}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 283}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block8_1_conv", 0, 0, {}]]], "shared_object_id": 284, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 1992}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +y#root.layer_with_weights-0.layer-106"_tf_keras_layer*{"name": "conv3_block8_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block8_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block8_1_bn", 0, 0, {}]]], "shared_object_id": 285, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 + +z/root.layer_with_weights-0.layer_with_weights-59"_tf_keras_layer* +{"name": "conv3_block8_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block8_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 286}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 287}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block8_1_relu", 0, 0, {}]]], "shared_object_id": 288, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 1993}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +{#root.layer_with_weights-0.layer-108"_tf_keras_layer*{"name": "conv3_block8_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv3_block8_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv3_block7_concat", 0, 0, {}], ["conv3_block8_2_conv", 0, 0, {}]]], "shared_object_id": 289, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 28, 28, 352]}, {"class_name": "TensorShape", "items": [null, 28, 28, 32]}]}2 + +|/root.layer_with_weights-0.layer_with_weights-60"_tf_keras_layer* {"name": "conv3_block9_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block9_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 290}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 291}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 292}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 293}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block8_concat", 0, 0, {}]]], "shared_object_id": 294, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 384}}, "shared_object_id": 1994}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 384]}}2 +}#root.layer_with_weights-0.layer-110"_tf_keras_layer*{"name": "conv3_block9_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block9_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block9_0_bn", 0, 0, {}]]], "shared_object_id": 295, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 384]}}2 + +~/root.layer_with_weights-0.layer_with_weights-61"_tf_keras_layer* +{"name": "conv3_block9_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block9_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 296}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 297}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block9_0_relu", 0, 0, {}]]], "shared_object_id": 298, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 384}}, "shared_object_id": 1995}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 384]}}2 + +/root.layer_with_weights-0.layer_with_weights-62"_tf_keras_layer* {"name": "conv3_block9_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block9_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 299}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 300}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 301}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 302}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block9_1_conv", 0, 0, {}]]], "shared_object_id": 303, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 1996}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +#root.layer_with_weights-0.layer-113"_tf_keras_layer*{"name": "conv3_block9_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block9_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block9_1_bn", 0, 0, {}]]], "shared_object_id": 304, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 + +/root.layer_with_weights-0.layer_with_weights-63"_tf_keras_layer* +{"name": "conv3_block9_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block9_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 305}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 306}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block9_1_relu", 0, 0, {}]]], "shared_object_id": 307, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 1997}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +#root.layer_with_weights-0.layer-115"_tf_keras_layer*{"name": "conv3_block9_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv3_block9_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv3_block8_concat", 0, 0, {}], ["conv3_block9_2_conv", 0, 0, {}]]], "shared_object_id": 308, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 28, 28, 384]}, {"class_name": "TensorShape", "items": [null, 28, 28, 32]}]}2 + +/root.layer_with_weights-0.layer_with_weights-64"_tf_keras_layer* {"name": "conv3_block10_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block10_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 309}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 310}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 311}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 312}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block9_concat", 0, 0, {}]]], "shared_object_id": 313, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 416}}, "shared_object_id": 1998}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 416]}}2 +#root.layer_with_weights-0.layer-117"_tf_keras_layer*{"name": "conv3_block10_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block10_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block10_0_bn", 0, 0, {}]]], "shared_object_id": 314, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 416]}}2 + +/root.layer_with_weights-0.layer_with_weights-65"_tf_keras_layer* +{"name": "conv3_block10_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block10_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 315}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 316}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block10_0_relu", 0, 0, {}]]], "shared_object_id": 317, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 416}}, "shared_object_id": 1999}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 416]}}2 + +/root.layer_with_weights-0.layer_with_weights-66"_tf_keras_layer* {"name": "conv3_block10_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block10_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 318}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 319}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 320}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 321}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block10_1_conv", 0, 0, {}]]], "shared_object_id": 322, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2000}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +#root.layer_with_weights-0.layer-120"_tf_keras_layer*{"name": "conv3_block10_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block10_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block10_1_bn", 0, 0, {}]]], "shared_object_id": 323, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 + +/root.layer_with_weights-0.layer_with_weights-67"_tf_keras_layer* +{"name": "conv3_block10_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block10_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 324}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 325}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block10_1_relu", 0, 0, {}]]], "shared_object_id": 326, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2001}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +#root.layer_with_weights-0.layer-122"_tf_keras_layer*{"name": "conv3_block10_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv3_block10_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv3_block9_concat", 0, 0, {}], ["conv3_block10_2_conv", 0, 0, {}]]], "shared_object_id": 327, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 28, 28, 416]}, {"class_name": "TensorShape", "items": [null, 28, 28, 32]}]}2 + +/root.layer_with_weights-0.layer_with_weights-68"_tf_keras_layer* {"name": "conv3_block11_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block11_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 328}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 329}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 330}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 331}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block10_concat", 0, 0, {}]]], "shared_object_id": 332, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 448}}, "shared_object_id": 2002}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 448]}}2 +#root.layer_with_weights-0.layer-124"_tf_keras_layer*{"name": "conv3_block11_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block11_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block11_0_bn", 0, 0, {}]]], "shared_object_id": 333, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 448]}}2 + +/root.layer_with_weights-0.layer_with_weights-69"_tf_keras_layer* +{"name": "conv3_block11_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block11_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 334}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 335}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block11_0_relu", 0, 0, {}]]], "shared_object_id": 336, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 448}}, "shared_object_id": 2003}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 448]}}2 + +/root.layer_with_weights-0.layer_with_weights-70"_tf_keras_layer* {"name": "conv3_block11_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block11_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 337}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 338}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 339}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 340}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block11_1_conv", 0, 0, {}]]], "shared_object_id": 341, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2004}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +#root.layer_with_weights-0.layer-127"_tf_keras_layer*{"name": "conv3_block11_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block11_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block11_1_bn", 0, 0, {}]]], "shared_object_id": 342, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 + +/root.layer_with_weights-0.layer_with_weights-71"_tf_keras_layer* +{"name": "conv3_block11_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block11_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 343}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 344}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block11_1_relu", 0, 0, {}]]], "shared_object_id": 345, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2005}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +#root.layer_with_weights-0.layer-129"_tf_keras_layer*{"name": "conv3_block11_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv3_block11_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv3_block10_concat", 0, 0, {}], ["conv3_block11_2_conv", 0, 0, {}]]], "shared_object_id": 346, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 28, 28, 448]}, {"class_name": "TensorShape", "items": [null, 28, 28, 32]}]}2 + +/root.layer_with_weights-0.layer_with_weights-72"_tf_keras_layer* {"name": "conv3_block12_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block12_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 347}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 348}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 349}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 350}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block11_concat", 0, 0, {}]]], "shared_object_id": 351, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 480}}, "shared_object_id": 2006}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 480]}}2 +#root.layer_with_weights-0.layer-131"_tf_keras_layer*{"name": "conv3_block12_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block12_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block12_0_bn", 0, 0, {}]]], "shared_object_id": 352, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 480]}}2 + +/root.layer_with_weights-0.layer_with_weights-73"_tf_keras_layer* +{"name": "conv3_block12_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block12_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 353}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 354}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block12_0_relu", 0, 0, {}]]], "shared_object_id": 355, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 480}}, "shared_object_id": 2007}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 480]}}2 + +/root.layer_with_weights-0.layer_with_weights-74"_tf_keras_layer* {"name": "conv3_block12_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv3_block12_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 356}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 357}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 358}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 359}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block12_1_conv", 0, 0, {}]]], "shared_object_id": 360, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2008}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +#root.layer_with_weights-0.layer-134"_tf_keras_layer*{"name": "conv3_block12_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv3_block12_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv3_block12_1_bn", 0, 0, {}]]], "shared_object_id": 361, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 + +/root.layer_with_weights-0.layer_with_weights-75"_tf_keras_layer* +{"name": "conv3_block12_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv3_block12_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 362}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 363}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv3_block12_1_relu", 0, 0, {}]]], "shared_object_id": 364, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2009}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 128]}}2 +#root.layer_with_weights-0.layer-136"_tf_keras_layer*{"name": "conv3_block12_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv3_block12_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv3_block11_concat", 0, 0, {}], ["conv3_block12_2_conv", 0, 0, {}]]], "shared_object_id": 365, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 28, 28, 480]}, {"class_name": "TensorShape", "items": [null, 28, 28, 32]}]}2 + +/root.layer_with_weights-0.layer_with_weights-76"_tf_keras_layer* {"name": "pool3_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "pool3_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 366}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 367}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 368}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 369}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv3_block12_concat", 0, 0, {}]]], "shared_object_id": 370, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 512}}, "shared_object_id": 2010}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 512]}}2 +#root.layer_with_weights-0.layer-138"_tf_keras_layer*{"name": "pool3_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "pool3_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["pool3_bn", 0, 0, {}]]], "shared_object_id": 371, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 512]}}2 + +/root.layer_with_weights-0.layer_with_weights-77"_tf_keras_layer* +{"name": "pool3_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "pool3_conv", "trainable": true, "dtype": "float32", "filters": 256, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 372}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 373}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["pool3_relu", 0, 0, {}]]], "shared_object_id": 374, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 512}}, "shared_object_id": 2011}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 512]}}2 +#root.layer_with_weights-0.layer-140"_tf_keras_layer*{"name": "pool3_pool", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "AveragePooling2D", "config": {"name": "pool3_pool", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "valid", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "inbound_nodes": [[["pool3_conv", 0, 0, {}]]], "shared_object_id": 375, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {}}, "shared_object_id": 2012}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 28, 28, 256]}}2 + +/root.layer_with_weights-0.layer_with_weights-78"_tf_keras_layer* {"name": "conv4_block1_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block1_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 376}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 377}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 378}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 379}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["pool3_pool", 0, 0, {}]]], "shared_object_id": 380, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 256}}, "shared_object_id": 2013}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 256]}}2 +#root.layer_with_weights-0.layer-142"_tf_keras_layer*{"name": "conv4_block1_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block1_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block1_0_bn", 0, 0, {}]]], "shared_object_id": 381, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 256]}}2 + +/root.layer_with_weights-0.layer_with_weights-79"_tf_keras_layer* +{"name": "conv4_block1_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block1_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 382}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 383}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block1_0_relu", 0, 0, {}]]], "shared_object_id": 384, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 256}}, "shared_object_id": 2014}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 256]}}2 + +/root.layer_with_weights-0.layer_with_weights-80"_tf_keras_layer* {"name": "conv4_block1_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block1_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 385}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 386}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 387}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 388}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block1_1_conv", 0, 0, {}]]], "shared_object_id": 389, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2015}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-145"_tf_keras_layer*{"name": "conv4_block1_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block1_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block1_1_bn", 0, 0, {}]]], "shared_object_id": 390, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +/root.layer_with_weights-0.layer_with_weights-81"_tf_keras_layer* +{"name": "conv4_block1_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block1_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 391}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 392}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block1_1_relu", 0, 0, {}]]], "shared_object_id": 393, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2016}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-147"_tf_keras_layer*{"name": "conv4_block1_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block1_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["pool3_pool", 0, 0, {}], ["conv4_block1_2_conv", 0, 0, {}]]], "shared_object_id": 394, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 256]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +/root.layer_with_weights-0.layer_with_weights-82"_tf_keras_layer* {"name": "conv4_block2_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block2_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 395}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 396}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 397}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 398}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block1_concat", 0, 0, {}]]], "shared_object_id": 399, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 288}}, "shared_object_id": 2017}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 288]}}2 +#root.layer_with_weights-0.layer-149"_tf_keras_layer*{"name": "conv4_block2_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block2_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block2_0_bn", 0, 0, {}]]], "shared_object_id": 400, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 288]}}2 + +/root.layer_with_weights-0.layer_with_weights-83"_tf_keras_layer* +{"name": "conv4_block2_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block2_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 401}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 402}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block2_0_relu", 0, 0, {}]]], "shared_object_id": 403, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 288}}, "shared_object_id": 2018}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 288]}}2 + +/root.layer_with_weights-0.layer_with_weights-84"_tf_keras_layer* {"name": "conv4_block2_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block2_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 404}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 405}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 406}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 407}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block2_1_conv", 0, 0, {}]]], "shared_object_id": 408, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2019}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-152"_tf_keras_layer*{"name": "conv4_block2_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block2_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block2_1_bn", 0, 0, {}]]], "shared_object_id": 409, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +/root.layer_with_weights-0.layer_with_weights-85"_tf_keras_layer* +{"name": "conv4_block2_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block2_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 410}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 411}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block2_1_relu", 0, 0, {}]]], "shared_object_id": 412, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2020}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-154"_tf_keras_layer*{"name": "conv4_block2_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block2_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block1_concat", 0, 0, {}], ["conv4_block2_2_conv", 0, 0, {}]]], "shared_object_id": 413, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 288]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +/root.layer_with_weights-0.layer_with_weights-86"_tf_keras_layer* {"name": "conv4_block3_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block3_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 414}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 415}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 416}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 417}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block2_concat", 0, 0, {}]]], "shared_object_id": 418, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 320}}, "shared_object_id": 2021}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 320]}}2 +#root.layer_with_weights-0.layer-156"_tf_keras_layer*{"name": "conv4_block3_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block3_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block3_0_bn", 0, 0, {}]]], "shared_object_id": 419, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 320]}}2 + +/root.layer_with_weights-0.layer_with_weights-87"_tf_keras_layer* +{"name": "conv4_block3_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block3_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 420}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 421}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block3_0_relu", 0, 0, {}]]], "shared_object_id": 422, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 320}}, "shared_object_id": 2022}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 320]}}2 + +/root.layer_with_weights-0.layer_with_weights-88"_tf_keras_layer* {"name": "conv4_block3_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block3_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 423}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 424}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 425}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 426}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block3_1_conv", 0, 0, {}]]], "shared_object_id": 427, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2023}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-159"_tf_keras_layer*{"name": "conv4_block3_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block3_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block3_1_bn", 0, 0, {}]]], "shared_object_id": 428, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +/root.layer_with_weights-0.layer_with_weights-89"_tf_keras_layer* +{"name": "conv4_block3_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block3_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 429}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 430}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block3_1_relu", 0, 0, {}]]], "shared_object_id": 431, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2024}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-161"_tf_keras_layer*{"name": "conv4_block3_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block3_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block2_concat", 0, 0, {}], ["conv4_block3_2_conv", 0, 0, {}]]], "shared_object_id": 432, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 320]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +/root.layer_with_weights-0.layer_with_weights-90"_tf_keras_layer* {"name": "conv4_block4_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block4_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 433}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 434}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 435}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 436}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block3_concat", 0, 0, {}]]], "shared_object_id": 437, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 352}}, "shared_object_id": 2025}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 352]}}2 +#root.layer_with_weights-0.layer-163"_tf_keras_layer*{"name": "conv4_block4_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block4_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block4_0_bn", 0, 0, {}]]], "shared_object_id": 438, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 352]}}2 + +/root.layer_with_weights-0.layer_with_weights-91"_tf_keras_layer* +{"name": "conv4_block4_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block4_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 439}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 440}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block4_0_relu", 0, 0, {}]]], "shared_object_id": 441, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 352}}, "shared_object_id": 2026}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 352]}}2 + +/root.layer_with_weights-0.layer_with_weights-92"_tf_keras_layer* {"name": "conv4_block4_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block4_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 442}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 443}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 444}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 445}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block4_1_conv", 0, 0, {}]]], "shared_object_id": 446, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2027}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-166"_tf_keras_layer*{"name": "conv4_block4_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block4_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block4_1_bn", 0, 0, {}]]], "shared_object_id": 447, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +/root.layer_with_weights-0.layer_with_weights-93"_tf_keras_layer* +{"name": "conv4_block4_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block4_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 448}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 449}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block4_1_relu", 0, 0, {}]]], "shared_object_id": 450, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2028}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-168"_tf_keras_layer*{"name": "conv4_block4_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block4_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block3_concat", 0, 0, {}], ["conv4_block4_2_conv", 0, 0, {}]]], "shared_object_id": 451, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 352]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +/root.layer_with_weights-0.layer_with_weights-94"_tf_keras_layer* {"name": "conv4_block5_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block5_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 452}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 453}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 454}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 455}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block4_concat", 0, 0, {}]]], "shared_object_id": 456, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 384}}, "shared_object_id": 2029}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 384]}}2 +#root.layer_with_weights-0.layer-170"_tf_keras_layer*{"name": "conv4_block5_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block5_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block5_0_bn", 0, 0, {}]]], "shared_object_id": 457, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 384]}}2 + +/root.layer_with_weights-0.layer_with_weights-95"_tf_keras_layer* +{"name": "conv4_block5_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block5_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 458}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 459}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block5_0_relu", 0, 0, {}]]], "shared_object_id": 460, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 384}}, "shared_object_id": 2030}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 384]}}2 + +/root.layer_with_weights-0.layer_with_weights-96"_tf_keras_layer* {"name": "conv4_block5_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block5_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 461}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 462}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 463}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 464}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block5_1_conv", 0, 0, {}]]], "shared_object_id": 465, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2031}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-173"_tf_keras_layer*{"name": "conv4_block5_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block5_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block5_1_bn", 0, 0, {}]]], "shared_object_id": 466, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +/root.layer_with_weights-0.layer_with_weights-97"_tf_keras_layer* +{"name": "conv4_block5_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block5_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 467}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 468}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block5_1_relu", 0, 0, {}]]], "shared_object_id": 469, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2032}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-175"_tf_keras_layer*{"name": "conv4_block5_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block5_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block4_concat", 0, 0, {}], ["conv4_block5_2_conv", 0, 0, {}]]], "shared_object_id": 470, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 384]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +/root.layer_with_weights-0.layer_with_weights-98"_tf_keras_layer* {"name": "conv4_block6_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block6_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 471}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 472}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 473}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 474}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block5_concat", 0, 0, {}]]], "shared_object_id": 475, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 416}}, "shared_object_id": 2033}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 416]}}2 +#root.layer_with_weights-0.layer-177"_tf_keras_layer*{"name": "conv4_block6_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block6_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block6_0_bn", 0, 0, {}]]], "shared_object_id": 476, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 416]}}2 + +/root.layer_with_weights-0.layer_with_weights-99"_tf_keras_layer* +{"name": "conv4_block6_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block6_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 477}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 478}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block6_0_relu", 0, 0, {}]]], "shared_object_id": 479, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 416}}, "shared_object_id": 2034}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 416]}}2 + +0root.layer_with_weights-0.layer_with_weights-100"_tf_keras_layer* {"name": "conv4_block6_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block6_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 480}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 481}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 482}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 483}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block6_1_conv", 0, 0, {}]]], "shared_object_id": 484, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2035}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-180"_tf_keras_layer*{"name": "conv4_block6_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block6_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block6_1_bn", 0, 0, {}]]], "shared_object_id": 485, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-101"_tf_keras_layer* +{"name": "conv4_block6_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block6_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 486}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 487}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block6_1_relu", 0, 0, {}]]], "shared_object_id": 488, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2036}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-182"_tf_keras_layer*{"name": "conv4_block6_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block6_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block5_concat", 0, 0, {}], ["conv4_block6_2_conv", 0, 0, {}]]], "shared_object_id": 489, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 416]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-102"_tf_keras_layer* {"name": "conv4_block7_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block7_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 490}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 491}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 492}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 493}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block6_concat", 0, 0, {}]]], "shared_object_id": 494, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 448}}, "shared_object_id": 2037}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 448]}}2 +#root.layer_with_weights-0.layer-184"_tf_keras_layer*{"name": "conv4_block7_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block7_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block7_0_bn", 0, 0, {}]]], "shared_object_id": 495, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 448]}}2 + +0root.layer_with_weights-0.layer_with_weights-103"_tf_keras_layer* +{"name": "conv4_block7_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block7_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 496}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 497}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block7_0_relu", 0, 0, {}]]], "shared_object_id": 498, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 448}}, "shared_object_id": 2038}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 448]}}2 + +0root.layer_with_weights-0.layer_with_weights-104"_tf_keras_layer* {"name": "conv4_block7_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block7_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 499}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 500}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 501}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 502}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block7_1_conv", 0, 0, {}]]], "shared_object_id": 503, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2039}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-187"_tf_keras_layer*{"name": "conv4_block7_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block7_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block7_1_bn", 0, 0, {}]]], "shared_object_id": 504, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-105"_tf_keras_layer* +{"name": "conv4_block7_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block7_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 505}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 506}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block7_1_relu", 0, 0, {}]]], "shared_object_id": 507, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2040}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-189"_tf_keras_layer*{"name": "conv4_block7_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block7_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block6_concat", 0, 0, {}], ["conv4_block7_2_conv", 0, 0, {}]]], "shared_object_id": 508, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 448]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-106"_tf_keras_layer* {"name": "conv4_block8_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block8_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 509}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 510}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 511}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 512}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block7_concat", 0, 0, {}]]], "shared_object_id": 513, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 480}}, "shared_object_id": 2041}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 480]}}2 +#root.layer_with_weights-0.layer-191"_tf_keras_layer*{"name": "conv4_block8_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block8_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block8_0_bn", 0, 0, {}]]], "shared_object_id": 514, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 480]}}2 + +0root.layer_with_weights-0.layer_with_weights-107"_tf_keras_layer* +{"name": "conv4_block8_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block8_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 515}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 516}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block8_0_relu", 0, 0, {}]]], "shared_object_id": 517, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 480}}, "shared_object_id": 2042}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 480]}}2 + +0root.layer_with_weights-0.layer_with_weights-108"_tf_keras_layer* {"name": "conv4_block8_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block8_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 518}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 519}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 520}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 521}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block8_1_conv", 0, 0, {}]]], "shared_object_id": 522, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2043}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-194"_tf_keras_layer*{"name": "conv4_block8_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block8_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block8_1_bn", 0, 0, {}]]], "shared_object_id": 523, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-109"_tf_keras_layer* +{"name": "conv4_block8_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block8_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 524}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 525}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block8_1_relu", 0, 0, {}]]], "shared_object_id": 526, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2044}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-196"_tf_keras_layer*{"name": "conv4_block8_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block8_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block7_concat", 0, 0, {}], ["conv4_block8_2_conv", 0, 0, {}]]], "shared_object_id": 527, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 480]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-110"_tf_keras_layer* {"name": "conv4_block9_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block9_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 528}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 529}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 530}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 531}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block8_concat", 0, 0, {}]]], "shared_object_id": 532, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 512}}, "shared_object_id": 2045}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 512]}}2 +#root.layer_with_weights-0.layer-198"_tf_keras_layer*{"name": "conv4_block9_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block9_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block9_0_bn", 0, 0, {}]]], "shared_object_id": 533, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 512]}}2 + +0root.layer_with_weights-0.layer_with_weights-111"_tf_keras_layer* +{"name": "conv4_block9_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block9_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 534}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 535}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block9_0_relu", 0, 0, {}]]], "shared_object_id": 536, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 512}}, "shared_object_id": 2046}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 512]}}2 + +0root.layer_with_weights-0.layer_with_weights-112"_tf_keras_layer* {"name": "conv4_block9_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block9_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 537}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 538}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 539}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 540}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block9_1_conv", 0, 0, {}]]], "shared_object_id": 541, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2047}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-201"_tf_keras_layer*{"name": "conv4_block9_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block9_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block9_1_bn", 0, 0, {}]]], "shared_object_id": 542, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-113"_tf_keras_layer* +{"name": "conv4_block9_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block9_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 543}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 544}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block9_1_relu", 0, 0, {}]]], "shared_object_id": 545, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2048}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-203"_tf_keras_layer*{"name": "conv4_block9_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block9_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block8_concat", 0, 0, {}], ["conv4_block9_2_conv", 0, 0, {}]]], "shared_object_id": 546, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 512]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-114"_tf_keras_layer* {"name": "conv4_block10_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block10_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 547}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 548}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 549}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 550}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block9_concat", 0, 0, {}]]], "shared_object_id": 551, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 544}}, "shared_object_id": 2049}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 544]}}2 +#root.layer_with_weights-0.layer-205"_tf_keras_layer*{"name": "conv4_block10_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block10_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block10_0_bn", 0, 0, {}]]], "shared_object_id": 552, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 544]}}2 + +0root.layer_with_weights-0.layer_with_weights-115"_tf_keras_layer* +{"name": "conv4_block10_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block10_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 553}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 554}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block10_0_relu", 0, 0, {}]]], "shared_object_id": 555, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 544}}, "shared_object_id": 2050}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 544]}}2 + +0root.layer_with_weights-0.layer_with_weights-116"_tf_keras_layer* {"name": "conv4_block10_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block10_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 556}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 557}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 558}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 559}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block10_1_conv", 0, 0, {}]]], "shared_object_id": 560, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2051}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-208"_tf_keras_layer*{"name": "conv4_block10_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block10_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block10_1_bn", 0, 0, {}]]], "shared_object_id": 561, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-117"_tf_keras_layer* +{"name": "conv4_block10_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block10_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 562}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 563}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block10_1_relu", 0, 0, {}]]], "shared_object_id": 564, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2052}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-210"_tf_keras_layer*{"name": "conv4_block10_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block10_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block9_concat", 0, 0, {}], ["conv4_block10_2_conv", 0, 0, {}]]], "shared_object_id": 565, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 544]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-118"_tf_keras_layer* {"name": "conv4_block11_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block11_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 566}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 567}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 568}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 569}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block10_concat", 0, 0, {}]]], "shared_object_id": 570, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 576}}, "shared_object_id": 2053}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 576]}}2 +#root.layer_with_weights-0.layer-212"_tf_keras_layer*{"name": "conv4_block11_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block11_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block11_0_bn", 0, 0, {}]]], "shared_object_id": 571, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 576]}}2 + +0root.layer_with_weights-0.layer_with_weights-119"_tf_keras_layer* +{"name": "conv4_block11_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block11_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 572}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 573}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block11_0_relu", 0, 0, {}]]], "shared_object_id": 574, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 576}}, "shared_object_id": 2054}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 576]}}2 + +0root.layer_with_weights-0.layer_with_weights-120"_tf_keras_layer* {"name": "conv4_block11_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block11_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 575}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 576}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 577}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 578}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block11_1_conv", 0, 0, {}]]], "shared_object_id": 579, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2055}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-215"_tf_keras_layer*{"name": "conv4_block11_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block11_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block11_1_bn", 0, 0, {}]]], "shared_object_id": 580, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-121"_tf_keras_layer* +{"name": "conv4_block11_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block11_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 581}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 582}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block11_1_relu", 0, 0, {}]]], "shared_object_id": 583, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2056}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-217"_tf_keras_layer*{"name": "conv4_block11_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block11_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block10_concat", 0, 0, {}], ["conv4_block11_2_conv", 0, 0, {}]]], "shared_object_id": 584, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 576]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-122"_tf_keras_layer* {"name": "conv4_block12_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block12_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 585}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 586}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 587}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 588}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block11_concat", 0, 0, {}]]], "shared_object_id": 589, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 608}}, "shared_object_id": 2057}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 608]}}2 +#root.layer_with_weights-0.layer-219"_tf_keras_layer*{"name": "conv4_block12_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block12_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block12_0_bn", 0, 0, {}]]], "shared_object_id": 590, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 608]}}2 + +0root.layer_with_weights-0.layer_with_weights-123"_tf_keras_layer* +{"name": "conv4_block12_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block12_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 591}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 592}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block12_0_relu", 0, 0, {}]]], "shared_object_id": 593, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 608}}, "shared_object_id": 2058}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 608]}}2 + +0root.layer_with_weights-0.layer_with_weights-124"_tf_keras_layer* {"name": "conv4_block12_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block12_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 594}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 595}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 596}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 597}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block12_1_conv", 0, 0, {}]]], "shared_object_id": 598, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2059}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-222"_tf_keras_layer*{"name": "conv4_block12_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block12_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block12_1_bn", 0, 0, {}]]], "shared_object_id": 599, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-125"_tf_keras_layer* +{"name": "conv4_block12_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block12_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 600}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 601}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block12_1_relu", 0, 0, {}]]], "shared_object_id": 602, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2060}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-224"_tf_keras_layer*{"name": "conv4_block12_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block12_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block11_concat", 0, 0, {}], ["conv4_block12_2_conv", 0, 0, {}]]], "shared_object_id": 603, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 608]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-126"_tf_keras_layer* {"name": "conv4_block13_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block13_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 604}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 605}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 606}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 607}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block12_concat", 0, 0, {}]]], "shared_object_id": 608, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 640}}, "shared_object_id": 2061}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 640]}}2 +#root.layer_with_weights-0.layer-226"_tf_keras_layer*{"name": "conv4_block13_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block13_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block13_0_bn", 0, 0, {}]]], "shared_object_id": 609, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 640]}}2 + +0root.layer_with_weights-0.layer_with_weights-127"_tf_keras_layer* +{"name": "conv4_block13_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block13_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 610}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 611}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block13_0_relu", 0, 0, {}]]], "shared_object_id": 612, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 640}}, "shared_object_id": 2062}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 640]}}2 + +0root.layer_with_weights-0.layer_with_weights-128"_tf_keras_layer* {"name": "conv4_block13_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block13_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 613}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 614}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 615}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 616}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block13_1_conv", 0, 0, {}]]], "shared_object_id": 617, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2063}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-229"_tf_keras_layer*{"name": "conv4_block13_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block13_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block13_1_bn", 0, 0, {}]]], "shared_object_id": 618, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-129"_tf_keras_layer* +{"name": "conv4_block13_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block13_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 619}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 620}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block13_1_relu", 0, 0, {}]]], "shared_object_id": 621, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2064}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-231"_tf_keras_layer*{"name": "conv4_block13_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block13_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block12_concat", 0, 0, {}], ["conv4_block13_2_conv", 0, 0, {}]]], "shared_object_id": 622, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 640]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-130"_tf_keras_layer* {"name": "conv4_block14_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block14_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 623}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 624}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 625}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 626}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block13_concat", 0, 0, {}]]], "shared_object_id": 627, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 672}}, "shared_object_id": 2065}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 672]}}2 +#root.layer_with_weights-0.layer-233"_tf_keras_layer*{"name": "conv4_block14_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block14_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block14_0_bn", 0, 0, {}]]], "shared_object_id": 628, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 672]}}2 + +0root.layer_with_weights-0.layer_with_weights-131"_tf_keras_layer* +{"name": "conv4_block14_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block14_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 629}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 630}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block14_0_relu", 0, 0, {}]]], "shared_object_id": 631, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 672}}, "shared_object_id": 2066}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 672]}}2 + +0root.layer_with_weights-0.layer_with_weights-132"_tf_keras_layer* {"name": "conv4_block14_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block14_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 632}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 633}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 634}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 635}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block14_1_conv", 0, 0, {}]]], "shared_object_id": 636, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2067}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-236"_tf_keras_layer*{"name": "conv4_block14_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block14_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block14_1_bn", 0, 0, {}]]], "shared_object_id": 637, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-133"_tf_keras_layer* +{"name": "conv4_block14_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block14_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 638}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 639}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block14_1_relu", 0, 0, {}]]], "shared_object_id": 640, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2068}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-238"_tf_keras_layer*{"name": "conv4_block14_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block14_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block13_concat", 0, 0, {}], ["conv4_block14_2_conv", 0, 0, {}]]], "shared_object_id": 641, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 672]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-134"_tf_keras_layer* {"name": "conv4_block15_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block15_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 642}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 643}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 644}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 645}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block14_concat", 0, 0, {}]]], "shared_object_id": 646, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 704}}, "shared_object_id": 2069}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 704]}}2 +#root.layer_with_weights-0.layer-240"_tf_keras_layer*{"name": "conv4_block15_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block15_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block15_0_bn", 0, 0, {}]]], "shared_object_id": 647, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 704]}}2 + +0root.layer_with_weights-0.layer_with_weights-135"_tf_keras_layer* +{"name": "conv4_block15_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block15_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 648}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 649}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block15_0_relu", 0, 0, {}]]], "shared_object_id": 650, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 704}}, "shared_object_id": 2070}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 704]}}2 + +0root.layer_with_weights-0.layer_with_weights-136"_tf_keras_layer* {"name": "conv4_block15_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block15_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 651}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 652}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 653}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 654}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block15_1_conv", 0, 0, {}]]], "shared_object_id": 655, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2071}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-243"_tf_keras_layer*{"name": "conv4_block15_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block15_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block15_1_bn", 0, 0, {}]]], "shared_object_id": 656, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-137"_tf_keras_layer* +{"name": "conv4_block15_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block15_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 657}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 658}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block15_1_relu", 0, 0, {}]]], "shared_object_id": 659, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2072}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-245"_tf_keras_layer*{"name": "conv4_block15_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block15_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block14_concat", 0, 0, {}], ["conv4_block15_2_conv", 0, 0, {}]]], "shared_object_id": 660, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 704]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-138"_tf_keras_layer* {"name": "conv4_block16_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block16_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 661}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 662}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 663}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 664}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block15_concat", 0, 0, {}]]], "shared_object_id": 665, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 736}}, "shared_object_id": 2073}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 736]}}2 +#root.layer_with_weights-0.layer-247"_tf_keras_layer*{"name": "conv4_block16_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block16_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block16_0_bn", 0, 0, {}]]], "shared_object_id": 666, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 736]}}2 + +0root.layer_with_weights-0.layer_with_weights-139"_tf_keras_layer* +{"name": "conv4_block16_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block16_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 667}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 668}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block16_0_relu", 0, 0, {}]]], "shared_object_id": 669, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 736}}, "shared_object_id": 2074}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 736]}}2 + +0root.layer_with_weights-0.layer_with_weights-140"_tf_keras_layer* {"name": "conv4_block16_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block16_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 670}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 671}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 672}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 673}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block16_1_conv", 0, 0, {}]]], "shared_object_id": 674, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2075}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-250"_tf_keras_layer*{"name": "conv4_block16_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block16_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block16_1_bn", 0, 0, {}]]], "shared_object_id": 675, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-141"_tf_keras_layer* +{"name": "conv4_block16_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block16_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 676}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 677}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block16_1_relu", 0, 0, {}]]], "shared_object_id": 678, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2076}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-252"_tf_keras_layer*{"name": "conv4_block16_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block16_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block15_concat", 0, 0, {}], ["conv4_block16_2_conv", 0, 0, {}]]], "shared_object_id": 679, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 736]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-142"_tf_keras_layer* {"name": "conv4_block17_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block17_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 680}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 681}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 682}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 683}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block16_concat", 0, 0, {}]]], "shared_object_id": 684, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 768}}, "shared_object_id": 2077}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 768]}}2 +#root.layer_with_weights-0.layer-254"_tf_keras_layer*{"name": "conv4_block17_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block17_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block17_0_bn", 0, 0, {}]]], "shared_object_id": 685, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 768]}}2 + +0root.layer_with_weights-0.layer_with_weights-143"_tf_keras_layer* +{"name": "conv4_block17_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block17_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 686}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 687}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block17_0_relu", 0, 0, {}]]], "shared_object_id": 688, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 768}}, "shared_object_id": 2078}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 768]}}2 + +0root.layer_with_weights-0.layer_with_weights-144"_tf_keras_layer* {"name": "conv4_block17_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block17_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 689}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 690}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 691}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 692}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block17_1_conv", 0, 0, {}]]], "shared_object_id": 693, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2079}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-257"_tf_keras_layer*{"name": "conv4_block17_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block17_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block17_1_bn", 0, 0, {}]]], "shared_object_id": 694, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-145"_tf_keras_layer* +{"name": "conv4_block17_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block17_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 695}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 696}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block17_1_relu", 0, 0, {}]]], "shared_object_id": 697, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2080}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-259"_tf_keras_layer*{"name": "conv4_block17_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block17_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block16_concat", 0, 0, {}], ["conv4_block17_2_conv", 0, 0, {}]]], "shared_object_id": 698, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 768]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-146"_tf_keras_layer* {"name": "conv4_block18_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block18_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 699}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 700}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 701}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 702}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block17_concat", 0, 0, {}]]], "shared_object_id": 703, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 800}}, "shared_object_id": 2081}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 800]}}2 +#root.layer_with_weights-0.layer-261"_tf_keras_layer*{"name": "conv4_block18_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block18_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block18_0_bn", 0, 0, {}]]], "shared_object_id": 704, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 800]}}2 + +0root.layer_with_weights-0.layer_with_weights-147"_tf_keras_layer* +{"name": "conv4_block18_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block18_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 705}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 706}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block18_0_relu", 0, 0, {}]]], "shared_object_id": 707, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 800}}, "shared_object_id": 2082}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 800]}}2 + +0root.layer_with_weights-0.layer_with_weights-148"_tf_keras_layer* {"name": "conv4_block18_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block18_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 708}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 709}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 710}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 711}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block18_1_conv", 0, 0, {}]]], "shared_object_id": 712, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2083}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-264"_tf_keras_layer*{"name": "conv4_block18_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block18_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block18_1_bn", 0, 0, {}]]], "shared_object_id": 713, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-149"_tf_keras_layer* +{"name": "conv4_block18_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block18_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 714}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 715}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block18_1_relu", 0, 0, {}]]], "shared_object_id": 716, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2084}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-266"_tf_keras_layer*{"name": "conv4_block18_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block18_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block17_concat", 0, 0, {}], ["conv4_block18_2_conv", 0, 0, {}]]], "shared_object_id": 717, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 800]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-150"_tf_keras_layer* {"name": "conv4_block19_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block19_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 718}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 719}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 720}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 721}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block18_concat", 0, 0, {}]]], "shared_object_id": 722, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 832}}, "shared_object_id": 2085}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 832]}}2 +#root.layer_with_weights-0.layer-268"_tf_keras_layer*{"name": "conv4_block19_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block19_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block19_0_bn", 0, 0, {}]]], "shared_object_id": 723, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 832]}}2 + +0root.layer_with_weights-0.layer_with_weights-151"_tf_keras_layer* +{"name": "conv4_block19_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block19_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 724}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 725}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block19_0_relu", 0, 0, {}]]], "shared_object_id": 726, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 832}}, "shared_object_id": 2086}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 832]}}2 + +0root.layer_with_weights-0.layer_with_weights-152"_tf_keras_layer* {"name": "conv4_block19_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block19_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 727}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 728}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 729}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 730}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block19_1_conv", 0, 0, {}]]], "shared_object_id": 731, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2087}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-271"_tf_keras_layer*{"name": "conv4_block19_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block19_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block19_1_bn", 0, 0, {}]]], "shared_object_id": 732, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-153"_tf_keras_layer* +{"name": "conv4_block19_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block19_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 733}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 734}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block19_1_relu", 0, 0, {}]]], "shared_object_id": 735, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2088}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-273"_tf_keras_layer*{"name": "conv4_block19_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block19_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block18_concat", 0, 0, {}], ["conv4_block19_2_conv", 0, 0, {}]]], "shared_object_id": 736, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 832]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-154"_tf_keras_layer* {"name": "conv4_block20_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block20_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 737}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 738}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 739}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 740}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block19_concat", 0, 0, {}]]], "shared_object_id": 741, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 864}}, "shared_object_id": 2089}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 864]}}2 +#root.layer_with_weights-0.layer-275"_tf_keras_layer*{"name": "conv4_block20_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block20_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block20_0_bn", 0, 0, {}]]], "shared_object_id": 742, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 864]}}2 + +0root.layer_with_weights-0.layer_with_weights-155"_tf_keras_layer* +{"name": "conv4_block20_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block20_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 743}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 744}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block20_0_relu", 0, 0, {}]]], "shared_object_id": 745, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 864}}, "shared_object_id": 2090}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 864]}}2 + +0root.layer_with_weights-0.layer_with_weights-156"_tf_keras_layer* {"name": "conv4_block20_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block20_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 746}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 747}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 748}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 749}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block20_1_conv", 0, 0, {}]]], "shared_object_id": 750, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2091}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-278"_tf_keras_layer*{"name": "conv4_block20_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block20_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block20_1_bn", 0, 0, {}]]], "shared_object_id": 751, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-157"_tf_keras_layer* +{"name": "conv4_block20_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block20_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 752}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 753}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block20_1_relu", 0, 0, {}]]], "shared_object_id": 754, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2092}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-280"_tf_keras_layer*{"name": "conv4_block20_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block20_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block19_concat", 0, 0, {}], ["conv4_block20_2_conv", 0, 0, {}]]], "shared_object_id": 755, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 864]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-158"_tf_keras_layer* {"name": "conv4_block21_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block21_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 756}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 757}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 758}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 759}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block20_concat", 0, 0, {}]]], "shared_object_id": 760, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 896}}, "shared_object_id": 2093}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 896]}}2 +#root.layer_with_weights-0.layer-282"_tf_keras_layer*{"name": "conv4_block21_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block21_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block21_0_bn", 0, 0, {}]]], "shared_object_id": 761, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 896]}}2 + +0root.layer_with_weights-0.layer_with_weights-159"_tf_keras_layer* +{"name": "conv4_block21_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block21_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 762}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 763}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block21_0_relu", 0, 0, {}]]], "shared_object_id": 764, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 896}}, "shared_object_id": 2094}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 896]}}2 + +0root.layer_with_weights-0.layer_with_weights-160"_tf_keras_layer* {"name": "conv4_block21_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block21_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 765}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 766}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 767}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 768}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block21_1_conv", 0, 0, {}]]], "shared_object_id": 769, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2095}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-285"_tf_keras_layer*{"name": "conv4_block21_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block21_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block21_1_bn", 0, 0, {}]]], "shared_object_id": 770, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-161"_tf_keras_layer* +{"name": "conv4_block21_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block21_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 771}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 772}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block21_1_relu", 0, 0, {}]]], "shared_object_id": 773, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2096}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-287"_tf_keras_layer*{"name": "conv4_block21_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block21_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block20_concat", 0, 0, {}], ["conv4_block21_2_conv", 0, 0, {}]]], "shared_object_id": 774, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 896]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-162"_tf_keras_layer* {"name": "conv4_block22_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block22_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 775}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 776}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 777}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 778}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block21_concat", 0, 0, {}]]], "shared_object_id": 779, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 928}}, "shared_object_id": 2097}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 928]}}2 +#root.layer_with_weights-0.layer-289"_tf_keras_layer*{"name": "conv4_block22_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block22_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block22_0_bn", 0, 0, {}]]], "shared_object_id": 780, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 928]}}2 + +0root.layer_with_weights-0.layer_with_weights-163"_tf_keras_layer* +{"name": "conv4_block22_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block22_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 781}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 782}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block22_0_relu", 0, 0, {}]]], "shared_object_id": 783, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 928}}, "shared_object_id": 2098}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 928]}}2 + +0root.layer_with_weights-0.layer_with_weights-164"_tf_keras_layer* {"name": "conv4_block22_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block22_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 784}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 785}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 786}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 787}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block22_1_conv", 0, 0, {}]]], "shared_object_id": 788, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2099}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-292"_tf_keras_layer*{"name": "conv4_block22_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block22_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block22_1_bn", 0, 0, {}]]], "shared_object_id": 789, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-165"_tf_keras_layer* +{"name": "conv4_block22_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block22_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 790}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 791}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block22_1_relu", 0, 0, {}]]], "shared_object_id": 792, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2100}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-294"_tf_keras_layer*{"name": "conv4_block22_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block22_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block21_concat", 0, 0, {}], ["conv4_block22_2_conv", 0, 0, {}]]], "shared_object_id": 793, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 928]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-166"_tf_keras_layer* {"name": "conv4_block23_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block23_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 794}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 795}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 796}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 797}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block22_concat", 0, 0, {}]]], "shared_object_id": 798, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 960}}, "shared_object_id": 2101}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 960]}}2 +#root.layer_with_weights-0.layer-296"_tf_keras_layer*{"name": "conv4_block23_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block23_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block23_0_bn", 0, 0, {}]]], "shared_object_id": 799, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 960]}}2 + +0root.layer_with_weights-0.layer_with_weights-167"_tf_keras_layer* +{"name": "conv4_block23_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block23_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 800}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 801}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block23_0_relu", 0, 0, {}]]], "shared_object_id": 802, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 960}}, "shared_object_id": 2102}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 960]}}2 + +0root.layer_with_weights-0.layer_with_weights-168"_tf_keras_layer* {"name": "conv4_block23_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block23_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 803}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 804}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 805}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 806}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block23_1_conv", 0, 0, {}]]], "shared_object_id": 807, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2103}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-299"_tf_keras_layer*{"name": "conv4_block23_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block23_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block23_1_bn", 0, 0, {}]]], "shared_object_id": 808, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-169"_tf_keras_layer* +{"name": "conv4_block23_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block23_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 809}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 810}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block23_1_relu", 0, 0, {}]]], "shared_object_id": 811, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2104}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-301"_tf_keras_layer*{"name": "conv4_block23_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block23_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block22_concat", 0, 0, {}], ["conv4_block23_2_conv", 0, 0, {}]]], "shared_object_id": 812, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 960]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-170"_tf_keras_layer* {"name": "conv4_block24_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block24_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 813}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 814}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 815}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 816}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block23_concat", 0, 0, {}]]], "shared_object_id": 817, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 992}}, "shared_object_id": 2105}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 992]}}2 +#root.layer_with_weights-0.layer-303"_tf_keras_layer*{"name": "conv4_block24_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block24_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block24_0_bn", 0, 0, {}]]], "shared_object_id": 818, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 992]}}2 + +0root.layer_with_weights-0.layer_with_weights-171"_tf_keras_layer* +{"name": "conv4_block24_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block24_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 819}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 820}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block24_0_relu", 0, 0, {}]]], "shared_object_id": 821, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 992}}, "shared_object_id": 2106}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 992]}}2 + +0root.layer_with_weights-0.layer_with_weights-172"_tf_keras_layer* {"name": "conv4_block24_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block24_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 822}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 823}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 824}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 825}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block24_1_conv", 0, 0, {}]]], "shared_object_id": 826, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2107}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-306"_tf_keras_layer*{"name": "conv4_block24_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block24_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block24_1_bn", 0, 0, {}]]], "shared_object_id": 827, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-173"_tf_keras_layer* +{"name": "conv4_block24_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block24_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 828}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 829}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block24_1_relu", 0, 0, {}]]], "shared_object_id": 830, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2108}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-308"_tf_keras_layer*{"name": "conv4_block24_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block24_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block23_concat", 0, 0, {}], ["conv4_block24_2_conv", 0, 0, {}]]], "shared_object_id": 831, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 992]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-174"_tf_keras_layer* {"name": "conv4_block25_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block25_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 832}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 833}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 834}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 835}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block24_concat", 0, 0, {}]]], "shared_object_id": 836, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1024}}, "shared_object_id": 2109}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1024]}}2 +#root.layer_with_weights-0.layer-310"_tf_keras_layer*{"name": "conv4_block25_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block25_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block25_0_bn", 0, 0, {}]]], "shared_object_id": 837, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1024]}}2 + 0root.layer_with_weights-0.layer_with_weights-175"_tf_keras_layer* +{"name": "conv4_block25_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block25_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 838}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 839}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block25_0_relu", 0, 0, {}]]], "shared_object_id": 840, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1024}}, "shared_object_id": 2110}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1024]}}2 + +0root.layer_with_weights-0.layer_with_weights-176"_tf_keras_layer* {"name": "conv4_block25_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block25_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 841}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 842}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 843}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 844}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block25_1_conv", 0, 0, {}]]], "shared_object_id": 845, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2111}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-313"_tf_keras_layer*{"name": "conv4_block25_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block25_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block25_1_bn", 0, 0, {}]]], "shared_object_id": 846, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-177"_tf_keras_layer* +{"name": "conv4_block25_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block25_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 847}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 848}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block25_1_relu", 0, 0, {}]]], "shared_object_id": 849, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2112}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-315"_tf_keras_layer*{"name": "conv4_block25_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block25_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block24_concat", 0, 0, {}], ["conv4_block25_2_conv", 0, 0, {}]]], "shared_object_id": 850, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1024]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-178"_tf_keras_layer* {"name": "conv4_block26_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block26_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 851}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 852}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 853}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 854}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block25_concat", 0, 0, {}]]], "shared_object_id": 855, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1056}}, "shared_object_id": 2113}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1056]}}2 +#root.layer_with_weights-0.layer-317"_tf_keras_layer*{"name": "conv4_block26_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block26_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block26_0_bn", 0, 0, {}]]], "shared_object_id": 856, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1056]}}2 + 0root.layer_with_weights-0.layer_with_weights-179"_tf_keras_layer* +{"name": "conv4_block26_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block26_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 857}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 858}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block26_0_relu", 0, 0, {}]]], "shared_object_id": 859, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1056}}, "shared_object_id": 2114}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1056]}}2 + +0root.layer_with_weights-0.layer_with_weights-180"_tf_keras_layer* {"name": "conv4_block26_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block26_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 860}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 861}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 862}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 863}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block26_1_conv", 0, 0, {}]]], "shared_object_id": 864, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2115}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-320"_tf_keras_layer*{"name": "conv4_block26_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block26_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block26_1_bn", 0, 0, {}]]], "shared_object_id": 865, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-181"_tf_keras_layer* +{"name": "conv4_block26_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block26_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 866}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 867}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block26_1_relu", 0, 0, {}]]], "shared_object_id": 868, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2116}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-322"_tf_keras_layer*{"name": "conv4_block26_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block26_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block25_concat", 0, 0, {}], ["conv4_block26_2_conv", 0, 0, {}]]], "shared_object_id": 869, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1056]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-182"_tf_keras_layer* {"name": "conv4_block27_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block27_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 870}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 871}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 872}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 873}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block26_concat", 0, 0, {}]]], "shared_object_id": 874, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1088}}, "shared_object_id": 2117}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1088]}}2 +#root.layer_with_weights-0.layer-324"_tf_keras_layer*{"name": "conv4_block27_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block27_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block27_0_bn", 0, 0, {}]]], "shared_object_id": 875, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1088]}}2 + 0root.layer_with_weights-0.layer_with_weights-183"_tf_keras_layer* +{"name": "conv4_block27_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block27_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 876}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 877}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block27_0_relu", 0, 0, {}]]], "shared_object_id": 878, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1088}}, "shared_object_id": 2118}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1088]}}2 + +0root.layer_with_weights-0.layer_with_weights-184"_tf_keras_layer* {"name": "conv4_block27_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block27_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 879}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 880}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 881}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 882}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block27_1_conv", 0, 0, {}]]], "shared_object_id": 883, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2119}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-327"_tf_keras_layer*{"name": "conv4_block27_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block27_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block27_1_bn", 0, 0, {}]]], "shared_object_id": 884, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-185"_tf_keras_layer* +{"name": "conv4_block27_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block27_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 885}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 886}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block27_1_relu", 0, 0, {}]]], "shared_object_id": 887, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2120}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-329"_tf_keras_layer*{"name": "conv4_block27_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block27_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block26_concat", 0, 0, {}], ["conv4_block27_2_conv", 0, 0, {}]]], "shared_object_id": 888, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1088]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-186"_tf_keras_layer* {"name": "conv4_block28_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block28_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 889}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 890}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 891}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 892}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block27_concat", 0, 0, {}]]], "shared_object_id": 893, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1120}}, "shared_object_id": 2121}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1120]}}2 +#root.layer_with_weights-0.layer-331"_tf_keras_layer*{"name": "conv4_block28_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block28_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block28_0_bn", 0, 0, {}]]], "shared_object_id": 894, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1120]}}2 + 0root.layer_with_weights-0.layer_with_weights-187"_tf_keras_layer* +{"name": "conv4_block28_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block28_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 895}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 896}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block28_0_relu", 0, 0, {}]]], "shared_object_id": 897, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1120}}, "shared_object_id": 2122}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1120]}}2 + +0root.layer_with_weights-0.layer_with_weights-188"_tf_keras_layer* {"name": "conv4_block28_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block28_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 898}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 899}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 900}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 901}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block28_1_conv", 0, 0, {}]]], "shared_object_id": 902, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2123}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-334"_tf_keras_layer*{"name": "conv4_block28_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block28_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block28_1_bn", 0, 0, {}]]], "shared_object_id": 903, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-189"_tf_keras_layer* +{"name": "conv4_block28_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block28_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 904}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 905}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block28_1_relu", 0, 0, {}]]], "shared_object_id": 906, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2124}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-336"_tf_keras_layer*{"name": "conv4_block28_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block28_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block27_concat", 0, 0, {}], ["conv4_block28_2_conv", 0, 0, {}]]], "shared_object_id": 907, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1120]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-190"_tf_keras_layer* {"name": "conv4_block29_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block29_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 908}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 909}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 910}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 911}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block28_concat", 0, 0, {}]]], "shared_object_id": 912, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1152}}, "shared_object_id": 2125}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1152]}}2 +#root.layer_with_weights-0.layer-338"_tf_keras_layer*{"name": "conv4_block29_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block29_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block29_0_bn", 0, 0, {}]]], "shared_object_id": 913, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1152]}}2 + 0root.layer_with_weights-0.layer_with_weights-191"_tf_keras_layer* +{"name": "conv4_block29_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block29_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 914}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 915}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block29_0_relu", 0, 0, {}]]], "shared_object_id": 916, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1152}}, "shared_object_id": 2126}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1152]}}2 + +0root.layer_with_weights-0.layer_with_weights-192"_tf_keras_layer* {"name": "conv4_block29_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block29_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 917}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 918}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 919}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 920}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block29_1_conv", 0, 0, {}]]], "shared_object_id": 921, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2127}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-341"_tf_keras_layer*{"name": "conv4_block29_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block29_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block29_1_bn", 0, 0, {}]]], "shared_object_id": 922, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-193"_tf_keras_layer* +{"name": "conv4_block29_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block29_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 923}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 924}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block29_1_relu", 0, 0, {}]]], "shared_object_id": 925, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2128}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-343"_tf_keras_layer*{"name": "conv4_block29_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block29_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block28_concat", 0, 0, {}], ["conv4_block29_2_conv", 0, 0, {}]]], "shared_object_id": 926, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1152]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-194"_tf_keras_layer* {"name": "conv4_block30_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block30_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 927}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 928}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 929}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 930}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block29_concat", 0, 0, {}]]], "shared_object_id": 931, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1184}}, "shared_object_id": 2129}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1184]}}2 +#root.layer_with_weights-0.layer-345"_tf_keras_layer*{"name": "conv4_block30_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block30_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block30_0_bn", 0, 0, {}]]], "shared_object_id": 932, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1184]}}2 + 0root.layer_with_weights-0.layer_with_weights-195"_tf_keras_layer* +{"name": "conv4_block30_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block30_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 933}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 934}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block30_0_relu", 0, 0, {}]]], "shared_object_id": 935, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1184}}, "shared_object_id": 2130}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1184]}}2 + +0root.layer_with_weights-0.layer_with_weights-196"_tf_keras_layer* {"name": "conv4_block30_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block30_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 936}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 937}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 938}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 939}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block30_1_conv", 0, 0, {}]]], "shared_object_id": 940, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2131}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-348"_tf_keras_layer*{"name": "conv4_block30_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block30_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block30_1_bn", 0, 0, {}]]], "shared_object_id": 941, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-197"_tf_keras_layer* +{"name": "conv4_block30_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block30_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 942}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 943}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block30_1_relu", 0, 0, {}]]], "shared_object_id": 944, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2132}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-350"_tf_keras_layer*{"name": "conv4_block30_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block30_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block29_concat", 0, 0, {}], ["conv4_block30_2_conv", 0, 0, {}]]], "shared_object_id": 945, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1184]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-198"_tf_keras_layer* {"name": "conv4_block31_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block31_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 946}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 947}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 948}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 949}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block30_concat", 0, 0, {}]]], "shared_object_id": 950, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1216}}, "shared_object_id": 2133}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1216]}}2 +#root.layer_with_weights-0.layer-352"_tf_keras_layer*{"name": "conv4_block31_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block31_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block31_0_bn", 0, 0, {}]]], "shared_object_id": 951, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1216]}}2 + 0root.layer_with_weights-0.layer_with_weights-199"_tf_keras_layer* +{"name": "conv4_block31_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block31_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 952}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 953}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block31_0_relu", 0, 0, {}]]], "shared_object_id": 954, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1216}}, "shared_object_id": 2134}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1216]}}2 + +0root.layer_with_weights-0.layer_with_weights-200"_tf_keras_layer* {"name": "conv4_block31_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block31_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 955}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 956}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 957}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 958}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block31_1_conv", 0, 0, {}]]], "shared_object_id": 959, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2135}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-355"_tf_keras_layer*{"name": "conv4_block31_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block31_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block31_1_bn", 0, 0, {}]]], "shared_object_id": 960, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-201"_tf_keras_layer* +{"name": "conv4_block31_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block31_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 961}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 962}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block31_1_relu", 0, 0, {}]]], "shared_object_id": 963, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2136}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-357"_tf_keras_layer*{"name": "conv4_block31_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block31_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block30_concat", 0, 0, {}], ["conv4_block31_2_conv", 0, 0, {}]]], "shared_object_id": 964, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1216]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-202"_tf_keras_layer* {"name": "conv4_block32_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block32_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 965}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 966}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 967}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 968}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block31_concat", 0, 0, {}]]], "shared_object_id": 969, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1248}}, "shared_object_id": 2137}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1248]}}2 +#root.layer_with_weights-0.layer-359"_tf_keras_layer*{"name": "conv4_block32_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block32_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block32_0_bn", 0, 0, {}]]], "shared_object_id": 970, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1248]}}2 + 0root.layer_with_weights-0.layer_with_weights-203"_tf_keras_layer* +{"name": "conv4_block32_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block32_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 971}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 972}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block32_0_relu", 0, 0, {}]]], "shared_object_id": 973, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1248}}, "shared_object_id": 2138}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1248]}}2 + +0root.layer_with_weights-0.layer_with_weights-204"_tf_keras_layer* {"name": "conv4_block32_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block32_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 974}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 975}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 976}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 977}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block32_1_conv", 0, 0, {}]]], "shared_object_id": 978, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2139}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-362"_tf_keras_layer*{"name": "conv4_block32_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block32_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block32_1_bn", 0, 0, {}]]], "shared_object_id": 979, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-205"_tf_keras_layer* +{"name": "conv4_block32_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block32_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 980}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 981}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block32_1_relu", 0, 0, {}]]], "shared_object_id": 982, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2140}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-364"_tf_keras_layer*{"name": "conv4_block32_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block32_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block31_concat", 0, 0, {}], ["conv4_block32_2_conv", 0, 0, {}]]], "shared_object_id": 983, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1248]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-206"_tf_keras_layer* {"name": "conv4_block33_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block33_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 984}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 985}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 986}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 987}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block32_concat", 0, 0, {}]]], "shared_object_id": 988, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1280}}, "shared_object_id": 2141}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1280]}}2 +#root.layer_with_weights-0.layer-366"_tf_keras_layer*{"name": "conv4_block33_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block33_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block33_0_bn", 0, 0, {}]]], "shared_object_id": 989, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1280]}}2 + 0root.layer_with_weights-0.layer_with_weights-207"_tf_keras_layer* +{"name": "conv4_block33_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block33_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 990}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 991}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block33_0_relu", 0, 0, {}]]], "shared_object_id": 992, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1280}}, "shared_object_id": 2142}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1280]}}2 + +0root.layer_with_weights-0.layer_with_weights-208"_tf_keras_layer* {"name": "conv4_block33_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block33_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 993}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 994}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 995}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 996}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block33_1_conv", 0, 0, {}]]], "shared_object_id": 997, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2143}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-369"_tf_keras_layer*{"name": "conv4_block33_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block33_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block33_1_bn", 0, 0, {}]]], "shared_object_id": 998, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-209"_tf_keras_layer* +{"name": "conv4_block33_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block33_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 999}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1000}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block33_1_relu", 0, 0, {}]]], "shared_object_id": 1001, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2144}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-371"_tf_keras_layer*{"name": "conv4_block33_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block33_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block32_concat", 0, 0, {}], ["conv4_block33_2_conv", 0, 0, {}]]], "shared_object_id": 1002, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1280]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-210"_tf_keras_layer* {"name": "conv4_block34_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block34_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1003}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1004}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1005}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1006}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block33_concat", 0, 0, {}]]], "shared_object_id": 1007, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1312}}, "shared_object_id": 2145}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1312]}}2 +#root.layer_with_weights-0.layer-373"_tf_keras_layer*{"name": "conv4_block34_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block34_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block34_0_bn", 0, 0, {}]]], "shared_object_id": 1008, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1312]}}2 + 0root.layer_with_weights-0.layer_with_weights-211"_tf_keras_layer* +{"name": "conv4_block34_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block34_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1009}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1010}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block34_0_relu", 0, 0, {}]]], "shared_object_id": 1011, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1312}}, "shared_object_id": 2146}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1312]}}2 + +0root.layer_with_weights-0.layer_with_weights-212"_tf_keras_layer* {"name": "conv4_block34_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block34_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1012}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1013}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1014}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1015}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block34_1_conv", 0, 0, {}]]], "shared_object_id": 1016, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2147}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-376"_tf_keras_layer*{"name": "conv4_block34_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block34_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block34_1_bn", 0, 0, {}]]], "shared_object_id": 1017, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-213"_tf_keras_layer* +{"name": "conv4_block34_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block34_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1018}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1019}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block34_1_relu", 0, 0, {}]]], "shared_object_id": 1020, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2148}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-378"_tf_keras_layer*{"name": "conv4_block34_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block34_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block33_concat", 0, 0, {}], ["conv4_block34_2_conv", 0, 0, {}]]], "shared_object_id": 1021, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1312]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-214"_tf_keras_layer* {"name": "conv4_block35_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block35_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1022}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1023}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1024}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1025}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block34_concat", 0, 0, {}]]], "shared_object_id": 1026, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1344}}, "shared_object_id": 2149}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1344]}}2 +#root.layer_with_weights-0.layer-380"_tf_keras_layer*{"name": "conv4_block35_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block35_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block35_0_bn", 0, 0, {}]]], "shared_object_id": 1027, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1344]}}2 + 0root.layer_with_weights-0.layer_with_weights-215"_tf_keras_layer* +{"name": "conv4_block35_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block35_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1028}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1029}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block35_0_relu", 0, 0, {}]]], "shared_object_id": 1030, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1344}}, "shared_object_id": 2150}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1344]}}2 + +0root.layer_with_weights-0.layer_with_weights-216"_tf_keras_layer* {"name": "conv4_block35_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block35_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1031}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1032}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1033}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1034}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block35_1_conv", 0, 0, {}]]], "shared_object_id": 1035, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2151}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-383"_tf_keras_layer*{"name": "conv4_block35_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block35_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block35_1_bn", 0, 0, {}]]], "shared_object_id": 1036, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-217"_tf_keras_layer* +{"name": "conv4_block35_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block35_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1037}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1038}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block35_1_relu", 0, 0, {}]]], "shared_object_id": 1039, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2152}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-385"_tf_keras_layer*{"name": "conv4_block35_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block35_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block34_concat", 0, 0, {}], ["conv4_block35_2_conv", 0, 0, {}]]], "shared_object_id": 1040, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1344]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-218"_tf_keras_layer* {"name": "conv4_block36_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block36_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1041}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1042}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1043}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1044}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block35_concat", 0, 0, {}]]], "shared_object_id": 1045, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1376}}, "shared_object_id": 2153}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1376]}}2 +#root.layer_with_weights-0.layer-387"_tf_keras_layer*{"name": "conv4_block36_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block36_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block36_0_bn", 0, 0, {}]]], "shared_object_id": 1046, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1376]}}2 + 0root.layer_with_weights-0.layer_with_weights-219"_tf_keras_layer* +{"name": "conv4_block36_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block36_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1047}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1048}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block36_0_relu", 0, 0, {}]]], "shared_object_id": 1049, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1376}}, "shared_object_id": 2154}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1376]}}2 + +0root.layer_with_weights-0.layer_with_weights-220"_tf_keras_layer* {"name": "conv4_block36_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block36_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1050}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1051}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1052}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1053}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block36_1_conv", 0, 0, {}]]], "shared_object_id": 1054, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2155}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-390"_tf_keras_layer*{"name": "conv4_block36_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block36_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block36_1_bn", 0, 0, {}]]], "shared_object_id": 1055, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-221"_tf_keras_layer* +{"name": "conv4_block36_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block36_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1056}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1057}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block36_1_relu", 0, 0, {}]]], "shared_object_id": 1058, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2156}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-392"_tf_keras_layer*{"name": "conv4_block36_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block36_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block35_concat", 0, 0, {}], ["conv4_block36_2_conv", 0, 0, {}]]], "shared_object_id": 1059, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1376]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-222"_tf_keras_layer* {"name": "conv4_block37_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block37_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1060}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1061}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1062}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1063}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block36_concat", 0, 0, {}]]], "shared_object_id": 1064, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1408}}, "shared_object_id": 2157}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1408]}}2 +#root.layer_with_weights-0.layer-394"_tf_keras_layer*{"name": "conv4_block37_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block37_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block37_0_bn", 0, 0, {}]]], "shared_object_id": 1065, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1408]}}2 + 0root.layer_with_weights-0.layer_with_weights-223"_tf_keras_layer* +{"name": "conv4_block37_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block37_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1066}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1067}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block37_0_relu", 0, 0, {}]]], "shared_object_id": 1068, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1408}}, "shared_object_id": 2158}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1408]}}2 + +0root.layer_with_weights-0.layer_with_weights-224"_tf_keras_layer* {"name": "conv4_block37_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block37_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1069}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1070}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1071}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1072}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block37_1_conv", 0, 0, {}]]], "shared_object_id": 1073, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2159}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-397"_tf_keras_layer*{"name": "conv4_block37_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block37_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block37_1_bn", 0, 0, {}]]], "shared_object_id": 1074, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-225"_tf_keras_layer* +{"name": "conv4_block37_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block37_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1075}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1076}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block37_1_relu", 0, 0, {}]]], "shared_object_id": 1077, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2160}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-399"_tf_keras_layer*{"name": "conv4_block37_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block37_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block36_concat", 0, 0, {}], ["conv4_block37_2_conv", 0, 0, {}]]], "shared_object_id": 1078, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1408]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-226"_tf_keras_layer* {"name": "conv4_block38_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block38_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1079}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1080}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1081}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1082}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block37_concat", 0, 0, {}]]], "shared_object_id": 1083, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1440}}, "shared_object_id": 2161}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1440]}}2 +#root.layer_with_weights-0.layer-401"_tf_keras_layer*{"name": "conv4_block38_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block38_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block38_0_bn", 0, 0, {}]]], "shared_object_id": 1084, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1440]}}2 + 0root.layer_with_weights-0.layer_with_weights-227"_tf_keras_layer* +{"name": "conv4_block38_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block38_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1085}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1086}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block38_0_relu", 0, 0, {}]]], "shared_object_id": 1087, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1440}}, "shared_object_id": 2162}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1440]}}2 + +0root.layer_with_weights-0.layer_with_weights-228"_tf_keras_layer* {"name": "conv4_block38_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block38_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1088}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1089}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1090}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1091}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block38_1_conv", 0, 0, {}]]], "shared_object_id": 1092, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2163}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-404"_tf_keras_layer*{"name": "conv4_block38_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block38_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block38_1_bn", 0, 0, {}]]], "shared_object_id": 1093, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-229"_tf_keras_layer* +{"name": "conv4_block38_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block38_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1094}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1095}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block38_1_relu", 0, 0, {}]]], "shared_object_id": 1096, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2164}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-406"_tf_keras_layer*{"name": "conv4_block38_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block38_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block37_concat", 0, 0, {}], ["conv4_block38_2_conv", 0, 0, {}]]], "shared_object_id": 1097, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1440]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-230"_tf_keras_layer* {"name": "conv4_block39_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block39_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1098}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1099}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1100}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1101}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block38_concat", 0, 0, {}]]], "shared_object_id": 1102, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1472}}, "shared_object_id": 2165}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1472]}}2 +#root.layer_with_weights-0.layer-408"_tf_keras_layer*{"name": "conv4_block39_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block39_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block39_0_bn", 0, 0, {}]]], "shared_object_id": 1103, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1472]}}2 + 0root.layer_with_weights-0.layer_with_weights-231"_tf_keras_layer* +{"name": "conv4_block39_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block39_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1104}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1105}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block39_0_relu", 0, 0, {}]]], "shared_object_id": 1106, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1472}}, "shared_object_id": 2166}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1472]}}2 + +0root.layer_with_weights-0.layer_with_weights-232"_tf_keras_layer* {"name": "conv4_block39_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block39_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1107}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1108}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1109}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1110}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block39_1_conv", 0, 0, {}]]], "shared_object_id": 1111, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2167}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-411"_tf_keras_layer*{"name": "conv4_block39_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block39_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block39_1_bn", 0, 0, {}]]], "shared_object_id": 1112, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-233"_tf_keras_layer* +{"name": "conv4_block39_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block39_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1113}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1114}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block39_1_relu", 0, 0, {}]]], "shared_object_id": 1115, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2168}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-413"_tf_keras_layer*{"name": "conv4_block39_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block39_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block38_concat", 0, 0, {}], ["conv4_block39_2_conv", 0, 0, {}]]], "shared_object_id": 1116, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1472]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-234"_tf_keras_layer* {"name": "conv4_block40_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block40_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1117}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1118}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1119}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1120}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block39_concat", 0, 0, {}]]], "shared_object_id": 1121, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1504}}, "shared_object_id": 2169}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1504]}}2 +#root.layer_with_weights-0.layer-415"_tf_keras_layer*{"name": "conv4_block40_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block40_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block40_0_bn", 0, 0, {}]]], "shared_object_id": 1122, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1504]}}2 + 0root.layer_with_weights-0.layer_with_weights-235"_tf_keras_layer* +{"name": "conv4_block40_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block40_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1123}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1124}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block40_0_relu", 0, 0, {}]]], "shared_object_id": 1125, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1504}}, "shared_object_id": 2170}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1504]}}2 + +0root.layer_with_weights-0.layer_with_weights-236"_tf_keras_layer* {"name": "conv4_block40_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block40_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1126}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1127}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1128}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1129}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block40_1_conv", 0, 0, {}]]], "shared_object_id": 1130, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2171}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-418"_tf_keras_layer*{"name": "conv4_block40_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block40_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block40_1_bn", 0, 0, {}]]], "shared_object_id": 1131, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-237"_tf_keras_layer* +{"name": "conv4_block40_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block40_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1132}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1133}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block40_1_relu", 0, 0, {}]]], "shared_object_id": 1134, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2172}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-420"_tf_keras_layer*{"name": "conv4_block40_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block40_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block39_concat", 0, 0, {}], ["conv4_block40_2_conv", 0, 0, {}]]], "shared_object_id": 1135, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1504]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-238"_tf_keras_layer* {"name": "conv4_block41_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block41_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1136}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1137}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1138}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1139}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block40_concat", 0, 0, {}]]], "shared_object_id": 1140, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1536}}, "shared_object_id": 2173}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1536]}}2 +#root.layer_with_weights-0.layer-422"_tf_keras_layer*{"name": "conv4_block41_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block41_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block41_0_bn", 0, 0, {}]]], "shared_object_id": 1141, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1536]}}2 + 0root.layer_with_weights-0.layer_with_weights-239"_tf_keras_layer* +{"name": "conv4_block41_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block41_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1142}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1143}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block41_0_relu", 0, 0, {}]]], "shared_object_id": 1144, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1536}}, "shared_object_id": 2174}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1536]}}2 + +0root.layer_with_weights-0.layer_with_weights-240"_tf_keras_layer* {"name": "conv4_block41_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block41_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1145}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1146}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1147}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1148}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block41_1_conv", 0, 0, {}]]], "shared_object_id": 1149, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2175}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-425"_tf_keras_layer*{"name": "conv4_block41_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block41_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block41_1_bn", 0, 0, {}]]], "shared_object_id": 1150, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-241"_tf_keras_layer* +{"name": "conv4_block41_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block41_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1151}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1152}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block41_1_relu", 0, 0, {}]]], "shared_object_id": 1153, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2176}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-427"_tf_keras_layer*{"name": "conv4_block41_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block41_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block40_concat", 0, 0, {}], ["conv4_block41_2_conv", 0, 0, {}]]], "shared_object_id": 1154, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1536]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-242"_tf_keras_layer* {"name": "conv4_block42_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block42_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1155}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1156}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1157}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1158}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block41_concat", 0, 0, {}]]], "shared_object_id": 1159, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1568}}, "shared_object_id": 2177}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1568]}}2 +#root.layer_with_weights-0.layer-429"_tf_keras_layer*{"name": "conv4_block42_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block42_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block42_0_bn", 0, 0, {}]]], "shared_object_id": 1160, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1568]}}2 + 0root.layer_with_weights-0.layer_with_weights-243"_tf_keras_layer* +{"name": "conv4_block42_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block42_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1161}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1162}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block42_0_relu", 0, 0, {}]]], "shared_object_id": 1163, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1568}}, "shared_object_id": 2178}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1568]}}2 + +0root.layer_with_weights-0.layer_with_weights-244"_tf_keras_layer* {"name": "conv4_block42_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block42_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1164}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1165}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1166}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1167}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block42_1_conv", 0, 0, {}]]], "shared_object_id": 1168, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2179}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-432"_tf_keras_layer*{"name": "conv4_block42_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block42_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block42_1_bn", 0, 0, {}]]], "shared_object_id": 1169, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-245"_tf_keras_layer* +{"name": "conv4_block42_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block42_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1170}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1171}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block42_1_relu", 0, 0, {}]]], "shared_object_id": 1172, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2180}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-434"_tf_keras_layer*{"name": "conv4_block42_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block42_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block41_concat", 0, 0, {}], ["conv4_block42_2_conv", 0, 0, {}]]], "shared_object_id": 1173, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1568]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-246"_tf_keras_layer* {"name": "conv4_block43_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block43_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1174}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1175}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1176}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1177}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block42_concat", 0, 0, {}]]], "shared_object_id": 1178, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1600}}, "shared_object_id": 2181}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1600]}}2 +#root.layer_with_weights-0.layer-436"_tf_keras_layer*{"name": "conv4_block43_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block43_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block43_0_bn", 0, 0, {}]]], "shared_object_id": 1179, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1600]}}2 + 0root.layer_with_weights-0.layer_with_weights-247"_tf_keras_layer* +{"name": "conv4_block43_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block43_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1180}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1181}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block43_0_relu", 0, 0, {}]]], "shared_object_id": 1182, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1600}}, "shared_object_id": 2182}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1600]}}2 + +0root.layer_with_weights-0.layer_with_weights-248"_tf_keras_layer* {"name": "conv4_block43_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block43_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1183}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1184}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1185}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1186}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block43_1_conv", 0, 0, {}]]], "shared_object_id": 1187, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2183}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-439"_tf_keras_layer*{"name": "conv4_block43_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block43_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block43_1_bn", 0, 0, {}]]], "shared_object_id": 1188, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-249"_tf_keras_layer* +{"name": "conv4_block43_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block43_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1189}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1190}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block43_1_relu", 0, 0, {}]]], "shared_object_id": 1191, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2184}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-441"_tf_keras_layer*{"name": "conv4_block43_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block43_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block42_concat", 0, 0, {}], ["conv4_block43_2_conv", 0, 0, {}]]], "shared_object_id": 1192, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1600]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-250"_tf_keras_layer* {"name": "conv4_block44_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block44_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1193}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1194}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1195}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1196}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block43_concat", 0, 0, {}]]], "shared_object_id": 1197, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1632}}, "shared_object_id": 2185}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1632]}}2 +#root.layer_with_weights-0.layer-443"_tf_keras_layer*{"name": "conv4_block44_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block44_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block44_0_bn", 0, 0, {}]]], "shared_object_id": 1198, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1632]}}2 + 0root.layer_with_weights-0.layer_with_weights-251"_tf_keras_layer* +{"name": "conv4_block44_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block44_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1199}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1200}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block44_0_relu", 0, 0, {}]]], "shared_object_id": 1201, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1632}}, "shared_object_id": 2186}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1632]}}2 + +0root.layer_with_weights-0.layer_with_weights-252"_tf_keras_layer* {"name": "conv4_block44_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block44_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1202}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1203}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1204}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1205}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block44_1_conv", 0, 0, {}]]], "shared_object_id": 1206, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2187}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-446"_tf_keras_layer*{"name": "conv4_block44_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block44_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block44_1_bn", 0, 0, {}]]], "shared_object_id": 1207, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-253"_tf_keras_layer* +{"name": "conv4_block44_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block44_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1208}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1209}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block44_1_relu", 0, 0, {}]]], "shared_object_id": 1210, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2188}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-448"_tf_keras_layer*{"name": "conv4_block44_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block44_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block43_concat", 0, 0, {}], ["conv4_block44_2_conv", 0, 0, {}]]], "shared_object_id": 1211, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1632]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-254"_tf_keras_layer* {"name": "conv4_block45_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block45_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1212}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1213}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1214}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1215}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block44_concat", 0, 0, {}]]], "shared_object_id": 1216, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1664}}, "shared_object_id": 2189}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1664]}}2 +#root.layer_with_weights-0.layer-450"_tf_keras_layer*{"name": "conv4_block45_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block45_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block45_0_bn", 0, 0, {}]]], "shared_object_id": 1217, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1664]}}2 + 0root.layer_with_weights-0.layer_with_weights-255"_tf_keras_layer* +{"name": "conv4_block45_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block45_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1218}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1219}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block45_0_relu", 0, 0, {}]]], "shared_object_id": 1220, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1664}}, "shared_object_id": 2190}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1664]}}2 + +0root.layer_with_weights-0.layer_with_weights-256"_tf_keras_layer* {"name": "conv4_block45_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block45_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1221}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1222}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1223}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1224}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block45_1_conv", 0, 0, {}]]], "shared_object_id": 1225, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2191}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-453"_tf_keras_layer*{"name": "conv4_block45_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block45_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block45_1_bn", 0, 0, {}]]], "shared_object_id": 1226, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-257"_tf_keras_layer* +{"name": "conv4_block45_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block45_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1227}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1228}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block45_1_relu", 0, 0, {}]]], "shared_object_id": 1229, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2192}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-455"_tf_keras_layer*{"name": "conv4_block45_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block45_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block44_concat", 0, 0, {}], ["conv4_block45_2_conv", 0, 0, {}]]], "shared_object_id": 1230, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1664]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-258"_tf_keras_layer* {"name": "conv4_block46_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block46_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1231}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1232}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1233}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1234}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block45_concat", 0, 0, {}]]], "shared_object_id": 1235, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1696}}, "shared_object_id": 2193}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1696]}}2 +#root.layer_with_weights-0.layer-457"_tf_keras_layer*{"name": "conv4_block46_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block46_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block46_0_bn", 0, 0, {}]]], "shared_object_id": 1236, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1696]}}2 + 0root.layer_with_weights-0.layer_with_weights-259"_tf_keras_layer* +{"name": "conv4_block46_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block46_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1237}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1238}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block46_0_relu", 0, 0, {}]]], "shared_object_id": 1239, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1696}}, "shared_object_id": 2194}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1696]}}2 + +0root.layer_with_weights-0.layer_with_weights-260"_tf_keras_layer* {"name": "conv4_block46_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block46_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1240}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1241}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1242}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1243}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block46_1_conv", 0, 0, {}]]], "shared_object_id": 1244, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2195}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-460"_tf_keras_layer*{"name": "conv4_block46_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block46_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block46_1_bn", 0, 0, {}]]], "shared_object_id": 1245, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-261"_tf_keras_layer* +{"name": "conv4_block46_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block46_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1246}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1247}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block46_1_relu", 0, 0, {}]]], "shared_object_id": 1248, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2196}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-462"_tf_keras_layer*{"name": "conv4_block46_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block46_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block45_concat", 0, 0, {}], ["conv4_block46_2_conv", 0, 0, {}]]], "shared_object_id": 1249, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1696]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-262"_tf_keras_layer* {"name": "conv4_block47_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block47_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1250}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1251}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1252}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1253}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block46_concat", 0, 0, {}]]], "shared_object_id": 1254, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1728}}, "shared_object_id": 2197}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1728]}}2 +#root.layer_with_weights-0.layer-464"_tf_keras_layer*{"name": "conv4_block47_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block47_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block47_0_bn", 0, 0, {}]]], "shared_object_id": 1255, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1728]}}2 + 0root.layer_with_weights-0.layer_with_weights-263"_tf_keras_layer* +{"name": "conv4_block47_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block47_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1256}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1257}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block47_0_relu", 0, 0, {}]]], "shared_object_id": 1258, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1728}}, "shared_object_id": 2198}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1728]}}2 + +0root.layer_with_weights-0.layer_with_weights-264"_tf_keras_layer* {"name": "conv4_block47_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block47_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1259}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1260}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1261}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1262}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block47_1_conv", 0, 0, {}]]], "shared_object_id": 1263, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2199}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-467"_tf_keras_layer*{"name": "conv4_block47_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block47_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block47_1_bn", 0, 0, {}]]], "shared_object_id": 1264, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-265"_tf_keras_layer* +{"name": "conv4_block47_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block47_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1265}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1266}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block47_1_relu", 0, 0, {}]]], "shared_object_id": 1267, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2200}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-469"_tf_keras_layer*{"name": "conv4_block47_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block47_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block46_concat", 0, 0, {}], ["conv4_block47_2_conv", 0, 0, {}]]], "shared_object_id": 1268, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1728]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-266"_tf_keras_layer* {"name": "conv4_block48_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block48_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1269}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1270}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1271}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1272}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block47_concat", 0, 0, {}]]], "shared_object_id": 1273, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1760}}, "shared_object_id": 2201}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1760]}}2 +#root.layer_with_weights-0.layer-471"_tf_keras_layer*{"name": "conv4_block48_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block48_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block48_0_bn", 0, 0, {}]]], "shared_object_id": 1274, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1760]}}2 + 0root.layer_with_weights-0.layer_with_weights-267"_tf_keras_layer* +{"name": "conv4_block48_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block48_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1275}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1276}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block48_0_relu", 0, 0, {}]]], "shared_object_id": 1277, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1760}}, "shared_object_id": 2202}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1760]}}2 + +0root.layer_with_weights-0.layer_with_weights-268"_tf_keras_layer* {"name": "conv4_block48_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv4_block48_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1278}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1279}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1280}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1281}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block48_1_conv", 0, 0, {}]]], "shared_object_id": 1282, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2203}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-474"_tf_keras_layer*{"name": "conv4_block48_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv4_block48_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv4_block48_1_bn", 0, 0, {}]]], "shared_object_id": 1283, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-269"_tf_keras_layer* +{"name": "conv4_block48_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv4_block48_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1284}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1285}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv4_block48_1_relu", 0, 0, {}]]], "shared_object_id": 1286, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2204}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 128]}}2 +#root.layer_with_weights-0.layer-476"_tf_keras_layer*{"name": "conv4_block48_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv4_block48_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv4_block47_concat", 0, 0, {}], ["conv4_block48_2_conv", 0, 0, {}]]], "shared_object_id": 1287, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 14, 14, 1760]}, {"class_name": "TensorShape", "items": [null, 14, 14, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-270"_tf_keras_layer* {"name": "pool4_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "pool4_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1288}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1289}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1290}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1291}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv4_block48_concat", 0, 0, {}]]], "shared_object_id": 1292, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1792}}, "shared_object_id": 2205}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1792]}}2 +#root.layer_with_weights-0.layer-478"_tf_keras_layer*{"name": "pool4_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "pool4_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["pool4_bn", 0, 0, {}]]], "shared_object_id": 1293, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1792]}}2 + +0root.layer_with_weights-0.layer_with_weights-271"_tf_keras_layer* +{"name": "pool4_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "pool4_conv", "trainable": true, "dtype": "float32", "filters": 896, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1294}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1295}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["pool4_relu", 0, 0, {}]]], "shared_object_id": 1296, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1792}}, "shared_object_id": 2206}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 1792]}}2 +#root.layer_with_weights-0.layer-480"_tf_keras_layer*{"name": "pool4_pool", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "AveragePooling2D", "config": {"name": "pool4_pool", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "valid", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "inbound_nodes": [[["pool4_conv", 0, 0, {}]]], "shared_object_id": 1297, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {}}, "shared_object_id": 2207}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 14, 14, 896]}}2 + +0root.layer_with_weights-0.layer_with_weights-272"_tf_keras_layer* {"name": "conv5_block1_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block1_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1298}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1299}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1300}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1301}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["pool4_pool", 0, 0, {}]]], "shared_object_id": 1302, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 896}}, "shared_object_id": 2208}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 896]}}2 +#root.layer_with_weights-0.layer-482"_tf_keras_layer*{"name": "conv5_block1_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block1_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block1_0_bn", 0, 0, {}]]], "shared_object_id": 1303, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 896]}}2 + +0root.layer_with_weights-0.layer_with_weights-273"_tf_keras_layer* +{"name": "conv5_block1_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block1_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1304}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1305}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block1_0_relu", 0, 0, {}]]], "shared_object_id": 1306, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 896}}, "shared_object_id": 2209}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 896]}}2 + +0root.layer_with_weights-0.layer_with_weights-274"_tf_keras_layer* {"name": "conv5_block1_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block1_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1307}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1308}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1309}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1310}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block1_1_conv", 0, 0, {}]]], "shared_object_id": 1311, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2210}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-485"_tf_keras_layer*{"name": "conv5_block1_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block1_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block1_1_bn", 0, 0, {}]]], "shared_object_id": 1312, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-275"_tf_keras_layer* +{"name": "conv5_block1_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block1_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1313}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1314}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block1_1_relu", 0, 0, {}]]], "shared_object_id": 1315, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2211}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-487"_tf_keras_layer*{"name": "conv5_block1_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block1_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["pool4_pool", 0, 0, {}], ["conv5_block1_2_conv", 0, 0, {}]]], "shared_object_id": 1316, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 896]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-276"_tf_keras_layer* {"name": "conv5_block2_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block2_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1317}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1318}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1319}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1320}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block1_concat", 0, 0, {}]]], "shared_object_id": 1321, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 928}}, "shared_object_id": 2212}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 928]}}2 +#root.layer_with_weights-0.layer-489"_tf_keras_layer*{"name": "conv5_block2_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block2_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block2_0_bn", 0, 0, {}]]], "shared_object_id": 1322, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 928]}}2 + +0root.layer_with_weights-0.layer_with_weights-277"_tf_keras_layer* +{"name": "conv5_block2_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block2_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1323}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1324}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block2_0_relu", 0, 0, {}]]], "shared_object_id": 1325, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 928}}, "shared_object_id": 2213}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 928]}}2 + +0root.layer_with_weights-0.layer_with_weights-278"_tf_keras_layer* {"name": "conv5_block2_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block2_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1326}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1327}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1328}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1329}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block2_1_conv", 0, 0, {}]]], "shared_object_id": 1330, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2214}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-492"_tf_keras_layer*{"name": "conv5_block2_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block2_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block2_1_bn", 0, 0, {}]]], "shared_object_id": 1331, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-279"_tf_keras_layer* +{"name": "conv5_block2_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block2_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1332}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1333}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block2_1_relu", 0, 0, {}]]], "shared_object_id": 1334, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2215}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-494"_tf_keras_layer*{"name": "conv5_block2_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block2_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block1_concat", 0, 0, {}], ["conv5_block2_2_conv", 0, 0, {}]]], "shared_object_id": 1335, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 928]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-280"_tf_keras_layer* {"name": "conv5_block3_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block3_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1336}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1337}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1338}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1339}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block2_concat", 0, 0, {}]]], "shared_object_id": 1340, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 960}}, "shared_object_id": 2216}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 960]}}2 +#root.layer_with_weights-0.layer-496"_tf_keras_layer*{"name": "conv5_block3_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block3_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block3_0_bn", 0, 0, {}]]], "shared_object_id": 1341, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 960]}}2 + +0root.layer_with_weights-0.layer_with_weights-281"_tf_keras_layer* +{"name": "conv5_block3_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block3_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1342}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1343}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block3_0_relu", 0, 0, {}]]], "shared_object_id": 1344, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 960}}, "shared_object_id": 2217}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 960]}}2 + +0root.layer_with_weights-0.layer_with_weights-282"_tf_keras_layer* {"name": "conv5_block3_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block3_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1345}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1346}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1347}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1348}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block3_1_conv", 0, 0, {}]]], "shared_object_id": 1349, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2218}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-499"_tf_keras_layer*{"name": "conv5_block3_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block3_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block3_1_bn", 0, 0, {}]]], "shared_object_id": 1350, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-283"_tf_keras_layer* +{"name": "conv5_block3_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block3_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1351}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1352}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block3_1_relu", 0, 0, {}]]], "shared_object_id": 1353, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2219}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-501"_tf_keras_layer*{"name": "conv5_block3_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block3_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block2_concat", 0, 0, {}], ["conv5_block3_2_conv", 0, 0, {}]]], "shared_object_id": 1354, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 960]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-284"_tf_keras_layer* {"name": "conv5_block4_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block4_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1355}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1356}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1357}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1358}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block3_concat", 0, 0, {}]]], "shared_object_id": 1359, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 992}}, "shared_object_id": 2220}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 992]}}2 +#root.layer_with_weights-0.layer-503"_tf_keras_layer*{"name": "conv5_block4_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block4_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block4_0_bn", 0, 0, {}]]], "shared_object_id": 1360, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 992]}}2 + +0root.layer_with_weights-0.layer_with_weights-285"_tf_keras_layer* +{"name": "conv5_block4_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block4_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1361}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1362}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block4_0_relu", 0, 0, {}]]], "shared_object_id": 1363, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 992}}, "shared_object_id": 2221}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 992]}}2 + +0root.layer_with_weights-0.layer_with_weights-286"_tf_keras_layer* {"name": "conv5_block4_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block4_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1364}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1365}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1366}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1367}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block4_1_conv", 0, 0, {}]]], "shared_object_id": 1368, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2222}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-506"_tf_keras_layer*{"name": "conv5_block4_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block4_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block4_1_bn", 0, 0, {}]]], "shared_object_id": 1369, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-287"_tf_keras_layer* +{"name": "conv5_block4_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block4_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1370}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1371}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block4_1_relu", 0, 0, {}]]], "shared_object_id": 1372, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2223}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-508"_tf_keras_layer*{"name": "conv5_block4_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block4_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block3_concat", 0, 0, {}], ["conv5_block4_2_conv", 0, 0, {}]]], "shared_object_id": 1373, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 992]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-288"_tf_keras_layer* {"name": "conv5_block5_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block5_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1374}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1375}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1376}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1377}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block4_concat", 0, 0, {}]]], "shared_object_id": 1378, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1024}}, "shared_object_id": 2224}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1024]}}2 +#root.layer_with_weights-0.layer-510"_tf_keras_layer*{"name": "conv5_block5_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block5_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block5_0_bn", 0, 0, {}]]], "shared_object_id": 1379, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1024]}}2 + +0root.layer_with_weights-0.layer_with_weights-289"_tf_keras_layer* +{"name": "conv5_block5_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block5_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1380}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1381}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block5_0_relu", 0, 0, {}]]], "shared_object_id": 1382, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1024}}, "shared_object_id": 2225}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1024]}}2 + +0root.layer_with_weights-0.layer_with_weights-290"_tf_keras_layer* {"name": "conv5_block5_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block5_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1383}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1384}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1385}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1386}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block5_1_conv", 0, 0, {}]]], "shared_object_id": 1387, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2226}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-513"_tf_keras_layer*{"name": "conv5_block5_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block5_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block5_1_bn", 0, 0, {}]]], "shared_object_id": 1388, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-291"_tf_keras_layer* +{"name": "conv5_block5_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block5_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1389}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1390}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block5_1_relu", 0, 0, {}]]], "shared_object_id": 1391, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2227}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-515"_tf_keras_layer*{"name": "conv5_block5_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block5_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block4_concat", 0, 0, {}], ["conv5_block5_2_conv", 0, 0, {}]]], "shared_object_id": 1392, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1024]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-292"_tf_keras_layer* {"name": "conv5_block6_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block6_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1393}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1394}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1395}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1396}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block5_concat", 0, 0, {}]]], "shared_object_id": 1397, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1056}}, "shared_object_id": 2228}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1056]}}2 +#root.layer_with_weights-0.layer-517"_tf_keras_layer*{"name": "conv5_block6_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block6_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block6_0_bn", 0, 0, {}]]], "shared_object_id": 1398, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1056]}}2 + +0root.layer_with_weights-0.layer_with_weights-293"_tf_keras_layer* +{"name": "conv5_block6_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block6_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1399}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1400}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block6_0_relu", 0, 0, {}]]], "shared_object_id": 1401, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1056}}, "shared_object_id": 2229}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1056]}}2 + +0root.layer_with_weights-0.layer_with_weights-294"_tf_keras_layer* {"name": "conv5_block6_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block6_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1402}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1403}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1404}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1405}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block6_1_conv", 0, 0, {}]]], "shared_object_id": 1406, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2230}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-520"_tf_keras_layer*{"name": "conv5_block6_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block6_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block6_1_bn", 0, 0, {}]]], "shared_object_id": 1407, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-295"_tf_keras_layer* +{"name": "conv5_block6_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block6_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1408}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1409}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block6_1_relu", 0, 0, {}]]], "shared_object_id": 1410, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2231}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-522"_tf_keras_layer*{"name": "conv5_block6_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block6_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block5_concat", 0, 0, {}], ["conv5_block6_2_conv", 0, 0, {}]]], "shared_object_id": 1411, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1056]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-296"_tf_keras_layer* {"name": "conv5_block7_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block7_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1412}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1413}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1414}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1415}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block6_concat", 0, 0, {}]]], "shared_object_id": 1416, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1088}}, "shared_object_id": 2232}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1088]}}2 +#root.layer_with_weights-0.layer-524"_tf_keras_layer*{"name": "conv5_block7_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block7_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block7_0_bn", 0, 0, {}]]], "shared_object_id": 1417, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1088]}}2 + +0root.layer_with_weights-0.layer_with_weights-297"_tf_keras_layer* +{"name": "conv5_block7_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block7_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1418}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1419}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block7_0_relu", 0, 0, {}]]], "shared_object_id": 1420, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1088}}, "shared_object_id": 2233}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1088]}}2 + +0root.layer_with_weights-0.layer_with_weights-298"_tf_keras_layer* {"name": "conv5_block7_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block7_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1421}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1422}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1423}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1424}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block7_1_conv", 0, 0, {}]]], "shared_object_id": 1425, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2234}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-527"_tf_keras_layer*{"name": "conv5_block7_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block7_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block7_1_bn", 0, 0, {}]]], "shared_object_id": 1426, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-299"_tf_keras_layer* +{"name": "conv5_block7_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block7_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1427}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1428}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block7_1_relu", 0, 0, {}]]], "shared_object_id": 1429, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2235}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-529"_tf_keras_layer*{"name": "conv5_block7_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block7_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block6_concat", 0, 0, {}], ["conv5_block7_2_conv", 0, 0, {}]]], "shared_object_id": 1430, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1088]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-300"_tf_keras_layer* {"name": "conv5_block8_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block8_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1431}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1432}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1433}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1434}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block7_concat", 0, 0, {}]]], "shared_object_id": 1435, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1120}}, "shared_object_id": 2236}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1120]}}2 +#root.layer_with_weights-0.layer-531"_tf_keras_layer*{"name": "conv5_block8_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block8_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block8_0_bn", 0, 0, {}]]], "shared_object_id": 1436, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1120]}}2 + +0root.layer_with_weights-0.layer_with_weights-301"_tf_keras_layer* +{"name": "conv5_block8_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block8_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1437}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1438}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block8_0_relu", 0, 0, {}]]], "shared_object_id": 1439, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1120}}, "shared_object_id": 2237}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1120]}}2 + +0root.layer_with_weights-0.layer_with_weights-302"_tf_keras_layer* {"name": "conv5_block8_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block8_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1440}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1441}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1442}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1443}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block8_1_conv", 0, 0, {}]]], "shared_object_id": 1444, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2238}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-534"_tf_keras_layer*{"name": "conv5_block8_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block8_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block8_1_bn", 0, 0, {}]]], "shared_object_id": 1445, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-303"_tf_keras_layer* +{"name": "conv5_block8_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block8_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1446}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1447}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block8_1_relu", 0, 0, {}]]], "shared_object_id": 1448, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2239}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-536"_tf_keras_layer*{"name": "conv5_block8_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block8_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block7_concat", 0, 0, {}], ["conv5_block8_2_conv", 0, 0, {}]]], "shared_object_id": 1449, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1120]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-304"_tf_keras_layer* {"name": "conv5_block9_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block9_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1450}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1451}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1452}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1453}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block8_concat", 0, 0, {}]]], "shared_object_id": 1454, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1152}}, "shared_object_id": 2240}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1152]}}2 +#root.layer_with_weights-0.layer-538"_tf_keras_layer*{"name": "conv5_block9_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block9_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block9_0_bn", 0, 0, {}]]], "shared_object_id": 1455, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1152]}}2 + +0root.layer_with_weights-0.layer_with_weights-305"_tf_keras_layer* +{"name": "conv5_block9_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block9_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1456}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1457}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block9_0_relu", 0, 0, {}]]], "shared_object_id": 1458, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1152}}, "shared_object_id": 2241}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1152]}}2 + +0root.layer_with_weights-0.layer_with_weights-306"_tf_keras_layer* {"name": "conv5_block9_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block9_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1459}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1460}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1461}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1462}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block9_1_conv", 0, 0, {}]]], "shared_object_id": 1463, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2242}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-541"_tf_keras_layer*{"name": "conv5_block9_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block9_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block9_1_bn", 0, 0, {}]]], "shared_object_id": 1464, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-307"_tf_keras_layer* +{"name": "conv5_block9_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block9_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1465}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1466}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block9_1_relu", 0, 0, {}]]], "shared_object_id": 1467, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2243}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-543"_tf_keras_layer*{"name": "conv5_block9_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block9_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block8_concat", 0, 0, {}], ["conv5_block9_2_conv", 0, 0, {}]]], "shared_object_id": 1468, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1152]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-308"_tf_keras_layer* {"name": "conv5_block10_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block10_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1469}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1470}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1471}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1472}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block9_concat", 0, 0, {}]]], "shared_object_id": 1473, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1184}}, "shared_object_id": 2244}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1184]}}2 +#root.layer_with_weights-0.layer-545"_tf_keras_layer*{"name": "conv5_block10_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block10_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block10_0_bn", 0, 0, {}]]], "shared_object_id": 1474, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1184]}}2 + 0root.layer_with_weights-0.layer_with_weights-309"_tf_keras_layer* +{"name": "conv5_block10_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block10_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1475}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1476}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block10_0_relu", 0, 0, {}]]], "shared_object_id": 1477, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1184}}, "shared_object_id": 2245}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1184]}}2 + +0root.layer_with_weights-0.layer_with_weights-310"_tf_keras_layer* {"name": "conv5_block10_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block10_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1478}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1479}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1480}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1481}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block10_1_conv", 0, 0, {}]]], "shared_object_id": 1482, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2246}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-548"_tf_keras_layer*{"name": "conv5_block10_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block10_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block10_1_bn", 0, 0, {}]]], "shared_object_id": 1483, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-311"_tf_keras_layer* +{"name": "conv5_block10_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block10_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1484}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1485}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block10_1_relu", 0, 0, {}]]], "shared_object_id": 1486, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2247}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-550"_tf_keras_layer*{"name": "conv5_block10_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block10_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block9_concat", 0, 0, {}], ["conv5_block10_2_conv", 0, 0, {}]]], "shared_object_id": 1487, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1184]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-312"_tf_keras_layer* {"name": "conv5_block11_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block11_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1488}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1489}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1490}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1491}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block10_concat", 0, 0, {}]]], "shared_object_id": 1492, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1216}}, "shared_object_id": 2248}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1216]}}2 +#root.layer_with_weights-0.layer-552"_tf_keras_layer*{"name": "conv5_block11_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block11_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block11_0_bn", 0, 0, {}]]], "shared_object_id": 1493, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1216]}}2 + 0root.layer_with_weights-0.layer_with_weights-313"_tf_keras_layer* +{"name": "conv5_block11_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block11_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1494}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1495}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block11_0_relu", 0, 0, {}]]], "shared_object_id": 1496, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1216}}, "shared_object_id": 2249}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1216]}}2 + +0root.layer_with_weights-0.layer_with_weights-314"_tf_keras_layer* {"name": "conv5_block11_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block11_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1497}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1498}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1499}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1500}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block11_1_conv", 0, 0, {}]]], "shared_object_id": 1501, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2250}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-555"_tf_keras_layer*{"name": "conv5_block11_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block11_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block11_1_bn", 0, 0, {}]]], "shared_object_id": 1502, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-315"_tf_keras_layer* +{"name": "conv5_block11_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block11_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1503}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1504}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block11_1_relu", 0, 0, {}]]], "shared_object_id": 1505, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2251}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-557"_tf_keras_layer*{"name": "conv5_block11_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block11_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block10_concat", 0, 0, {}], ["conv5_block11_2_conv", 0, 0, {}]]], "shared_object_id": 1506, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1216]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-316"_tf_keras_layer* {"name": "conv5_block12_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block12_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1507}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1508}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1509}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1510}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block11_concat", 0, 0, {}]]], "shared_object_id": 1511, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1248}}, "shared_object_id": 2252}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1248]}}2 +#root.layer_with_weights-0.layer-559"_tf_keras_layer*{"name": "conv5_block12_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block12_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block12_0_bn", 0, 0, {}]]], "shared_object_id": 1512, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1248]}}2 + 0root.layer_with_weights-0.layer_with_weights-317"_tf_keras_layer* +{"name": "conv5_block12_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block12_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1513}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1514}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block12_0_relu", 0, 0, {}]]], "shared_object_id": 1515, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1248}}, "shared_object_id": 2253}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1248]}}2 + +0root.layer_with_weights-0.layer_with_weights-318"_tf_keras_layer* {"name": "conv5_block12_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block12_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1516}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1517}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1518}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1519}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block12_1_conv", 0, 0, {}]]], "shared_object_id": 1520, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2254}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-562"_tf_keras_layer*{"name": "conv5_block12_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block12_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block12_1_bn", 0, 0, {}]]], "shared_object_id": 1521, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-319"_tf_keras_layer* +{"name": "conv5_block12_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block12_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1522}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1523}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block12_1_relu", 0, 0, {}]]], "shared_object_id": 1524, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2255}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-564"_tf_keras_layer*{"name": "conv5_block12_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block12_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block11_concat", 0, 0, {}], ["conv5_block12_2_conv", 0, 0, {}]]], "shared_object_id": 1525, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1248]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-320"_tf_keras_layer* {"name": "conv5_block13_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block13_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1526}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1527}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1528}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1529}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block12_concat", 0, 0, {}]]], "shared_object_id": 1530, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1280}}, "shared_object_id": 2256}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1280]}}2 +#root.layer_with_weights-0.layer-566"_tf_keras_layer*{"name": "conv5_block13_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block13_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block13_0_bn", 0, 0, {}]]], "shared_object_id": 1531, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1280]}}2 + 0root.layer_with_weights-0.layer_with_weights-321"_tf_keras_layer* +{"name": "conv5_block13_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block13_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1532}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1533}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block13_0_relu", 0, 0, {}]]], "shared_object_id": 1534, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1280}}, "shared_object_id": 2257}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1280]}}2 + +0root.layer_with_weights-0.layer_with_weights-322"_tf_keras_layer* {"name": "conv5_block13_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block13_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1535}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1536}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1537}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1538}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block13_1_conv", 0, 0, {}]]], "shared_object_id": 1539, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2258}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-569"_tf_keras_layer*{"name": "conv5_block13_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block13_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block13_1_bn", 0, 0, {}]]], "shared_object_id": 1540, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-323"_tf_keras_layer* +{"name": "conv5_block13_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block13_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1541}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1542}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block13_1_relu", 0, 0, {}]]], "shared_object_id": 1543, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2259}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-571"_tf_keras_layer*{"name": "conv5_block13_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block13_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block12_concat", 0, 0, {}], ["conv5_block13_2_conv", 0, 0, {}]]], "shared_object_id": 1544, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1280]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-324"_tf_keras_layer* {"name": "conv5_block14_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block14_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1545}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1546}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1547}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1548}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block13_concat", 0, 0, {}]]], "shared_object_id": 1549, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1312}}, "shared_object_id": 2260}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1312]}}2 +#root.layer_with_weights-0.layer-573"_tf_keras_layer*{"name": "conv5_block14_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block14_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block14_0_bn", 0, 0, {}]]], "shared_object_id": 1550, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1312]}}2 + 0root.layer_with_weights-0.layer_with_weights-325"_tf_keras_layer* +{"name": "conv5_block14_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block14_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1551}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1552}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block14_0_relu", 0, 0, {}]]], "shared_object_id": 1553, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1312}}, "shared_object_id": 2261}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1312]}}2 + +0root.layer_with_weights-0.layer_with_weights-326"_tf_keras_layer* {"name": "conv5_block14_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block14_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1554}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1555}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1556}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1557}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block14_1_conv", 0, 0, {}]]], "shared_object_id": 1558, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2262}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-576"_tf_keras_layer*{"name": "conv5_block14_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block14_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block14_1_bn", 0, 0, {}]]], "shared_object_id": 1559, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-327"_tf_keras_layer* +{"name": "conv5_block14_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block14_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1560}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1561}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block14_1_relu", 0, 0, {}]]], "shared_object_id": 1562, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2263}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-578"_tf_keras_layer*{"name": "conv5_block14_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block14_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block13_concat", 0, 0, {}], ["conv5_block14_2_conv", 0, 0, {}]]], "shared_object_id": 1563, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1312]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-328"_tf_keras_layer* {"name": "conv5_block15_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block15_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1564}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1565}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1566}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1567}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block14_concat", 0, 0, {}]]], "shared_object_id": 1568, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1344}}, "shared_object_id": 2264}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1344]}}2 +#root.layer_with_weights-0.layer-580"_tf_keras_layer*{"name": "conv5_block15_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block15_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block15_0_bn", 0, 0, {}]]], "shared_object_id": 1569, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1344]}}2 + 0root.layer_with_weights-0.layer_with_weights-329"_tf_keras_layer* +{"name": "conv5_block15_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block15_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1570}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1571}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block15_0_relu", 0, 0, {}]]], "shared_object_id": 1572, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1344}}, "shared_object_id": 2265}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1344]}}2 + +0root.layer_with_weights-0.layer_with_weights-330"_tf_keras_layer* {"name": "conv5_block15_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block15_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1573}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1574}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1575}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1576}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block15_1_conv", 0, 0, {}]]], "shared_object_id": 1577, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2266}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-583"_tf_keras_layer*{"name": "conv5_block15_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block15_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block15_1_bn", 0, 0, {}]]], "shared_object_id": 1578, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-331"_tf_keras_layer* +{"name": "conv5_block15_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block15_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1579}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1580}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block15_1_relu", 0, 0, {}]]], "shared_object_id": 1581, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2267}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-585"_tf_keras_layer*{"name": "conv5_block15_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block15_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block14_concat", 0, 0, {}], ["conv5_block15_2_conv", 0, 0, {}]]], "shared_object_id": 1582, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1344]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-332"_tf_keras_layer* {"name": "conv5_block16_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block16_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1583}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1584}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1585}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1586}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block15_concat", 0, 0, {}]]], "shared_object_id": 1587, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1376}}, "shared_object_id": 2268}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1376]}}2 +#root.layer_with_weights-0.layer-587"_tf_keras_layer*{"name": "conv5_block16_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block16_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block16_0_bn", 0, 0, {}]]], "shared_object_id": 1588, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1376]}}2 + 0root.layer_with_weights-0.layer_with_weights-333"_tf_keras_layer* +{"name": "conv5_block16_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block16_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1589}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1590}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block16_0_relu", 0, 0, {}]]], "shared_object_id": 1591, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1376}}, "shared_object_id": 2269}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1376]}}2 + +0root.layer_with_weights-0.layer_with_weights-334"_tf_keras_layer* {"name": "conv5_block16_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block16_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1592}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1593}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1594}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1595}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block16_1_conv", 0, 0, {}]]], "shared_object_id": 1596, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2270}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-590"_tf_keras_layer*{"name": "conv5_block16_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block16_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block16_1_bn", 0, 0, {}]]], "shared_object_id": 1597, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-335"_tf_keras_layer* +{"name": "conv5_block16_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block16_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1598}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1599}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block16_1_relu", 0, 0, {}]]], "shared_object_id": 1600, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2271}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-592"_tf_keras_layer*{"name": "conv5_block16_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block16_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block15_concat", 0, 0, {}], ["conv5_block16_2_conv", 0, 0, {}]]], "shared_object_id": 1601, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1376]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-336"_tf_keras_layer* {"name": "conv5_block17_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block17_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1602}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1603}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1604}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1605}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block16_concat", 0, 0, {}]]], "shared_object_id": 1606, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1408}}, "shared_object_id": 2272}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1408]}}2 +#root.layer_with_weights-0.layer-594"_tf_keras_layer*{"name": "conv5_block17_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block17_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block17_0_bn", 0, 0, {}]]], "shared_object_id": 1607, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1408]}}2 + 0root.layer_with_weights-0.layer_with_weights-337"_tf_keras_layer* +{"name": "conv5_block17_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block17_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1608}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1609}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block17_0_relu", 0, 0, {}]]], "shared_object_id": 1610, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1408}}, "shared_object_id": 2273}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1408]}}2 + +0root.layer_with_weights-0.layer_with_weights-338"_tf_keras_layer* {"name": "conv5_block17_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block17_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1611}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1612}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1613}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1614}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block17_1_conv", 0, 0, {}]]], "shared_object_id": 1615, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2274}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-597"_tf_keras_layer*{"name": "conv5_block17_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block17_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block17_1_bn", 0, 0, {}]]], "shared_object_id": 1616, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-339"_tf_keras_layer* +{"name": "conv5_block17_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block17_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1617}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1618}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block17_1_relu", 0, 0, {}]]], "shared_object_id": 1619, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2275}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-599"_tf_keras_layer*{"name": "conv5_block17_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block17_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block16_concat", 0, 0, {}], ["conv5_block17_2_conv", 0, 0, {}]]], "shared_object_id": 1620, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1408]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-340"_tf_keras_layer* {"name": "conv5_block18_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block18_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1621}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1622}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1623}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1624}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block17_concat", 0, 0, {}]]], "shared_object_id": 1625, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1440}}, "shared_object_id": 2276}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1440]}}2 +#root.layer_with_weights-0.layer-601"_tf_keras_layer*{"name": "conv5_block18_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block18_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block18_0_bn", 0, 0, {}]]], "shared_object_id": 1626, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1440]}}2 + 0root.layer_with_weights-0.layer_with_weights-341"_tf_keras_layer* +{"name": "conv5_block18_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block18_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1627}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1628}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block18_0_relu", 0, 0, {}]]], "shared_object_id": 1629, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1440}}, "shared_object_id": 2277}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1440]}}2 + +0root.layer_with_weights-0.layer_with_weights-342"_tf_keras_layer* {"name": "conv5_block18_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block18_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1630}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1631}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1632}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1633}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block18_1_conv", 0, 0, {}]]], "shared_object_id": 1634, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2278}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-604"_tf_keras_layer*{"name": "conv5_block18_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block18_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block18_1_bn", 0, 0, {}]]], "shared_object_id": 1635, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-343"_tf_keras_layer* +{"name": "conv5_block18_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block18_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1636}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1637}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block18_1_relu", 0, 0, {}]]], "shared_object_id": 1638, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2279}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-606"_tf_keras_layer*{"name": "conv5_block18_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block18_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block17_concat", 0, 0, {}], ["conv5_block18_2_conv", 0, 0, {}]]], "shared_object_id": 1639, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1440]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-344"_tf_keras_layer* {"name": "conv5_block19_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block19_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1640}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1641}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1642}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1643}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block18_concat", 0, 0, {}]]], "shared_object_id": 1644, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1472}}, "shared_object_id": 2280}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1472]}}2 +#root.layer_with_weights-0.layer-608"_tf_keras_layer*{"name": "conv5_block19_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block19_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block19_0_bn", 0, 0, {}]]], "shared_object_id": 1645, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1472]}}2 + 0root.layer_with_weights-0.layer_with_weights-345"_tf_keras_layer* +{"name": "conv5_block19_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block19_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1646}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1647}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block19_0_relu", 0, 0, {}]]], "shared_object_id": 1648, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1472}}, "shared_object_id": 2281}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1472]}}2 + +0root.layer_with_weights-0.layer_with_weights-346"_tf_keras_layer* {"name": "conv5_block19_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block19_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1649}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1650}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1651}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1652}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block19_1_conv", 0, 0, {}]]], "shared_object_id": 1653, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2282}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-611"_tf_keras_layer*{"name": "conv5_block19_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block19_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block19_1_bn", 0, 0, {}]]], "shared_object_id": 1654, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-347"_tf_keras_layer* +{"name": "conv5_block19_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block19_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1655}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1656}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block19_1_relu", 0, 0, {}]]], "shared_object_id": 1657, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2283}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-613"_tf_keras_layer*{"name": "conv5_block19_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block19_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block18_concat", 0, 0, {}], ["conv5_block19_2_conv", 0, 0, {}]]], "shared_object_id": 1658, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1472]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-348"_tf_keras_layer* {"name": "conv5_block20_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block20_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1659}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1660}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1661}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1662}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block19_concat", 0, 0, {}]]], "shared_object_id": 1663, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1504}}, "shared_object_id": 2284}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1504]}}2 +#root.layer_with_weights-0.layer-615"_tf_keras_layer*{"name": "conv5_block20_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block20_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block20_0_bn", 0, 0, {}]]], "shared_object_id": 1664, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1504]}}2 + 0root.layer_with_weights-0.layer_with_weights-349"_tf_keras_layer* +{"name": "conv5_block20_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block20_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1665}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1666}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block20_0_relu", 0, 0, {}]]], "shared_object_id": 1667, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1504}}, "shared_object_id": 2285}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1504]}}2 + +0root.layer_with_weights-0.layer_with_weights-350"_tf_keras_layer* {"name": "conv5_block20_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block20_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1668}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1669}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1670}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1671}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block20_1_conv", 0, 0, {}]]], "shared_object_id": 1672, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2286}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-618"_tf_keras_layer*{"name": "conv5_block20_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block20_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block20_1_bn", 0, 0, {}]]], "shared_object_id": 1673, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-351"_tf_keras_layer* +{"name": "conv5_block20_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block20_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1674}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1675}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block20_1_relu", 0, 0, {}]]], "shared_object_id": 1676, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2287}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-620"_tf_keras_layer*{"name": "conv5_block20_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block20_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block19_concat", 0, 0, {}], ["conv5_block20_2_conv", 0, 0, {}]]], "shared_object_id": 1677, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1504]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-352"_tf_keras_layer* {"name": "conv5_block21_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block21_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1678}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1679}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1680}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1681}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block20_concat", 0, 0, {}]]], "shared_object_id": 1682, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1536}}, "shared_object_id": 2288}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1536]}}2 +#root.layer_with_weights-0.layer-622"_tf_keras_layer*{"name": "conv5_block21_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block21_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block21_0_bn", 0, 0, {}]]], "shared_object_id": 1683, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1536]}}2 + 0root.layer_with_weights-0.layer_with_weights-353"_tf_keras_layer* +{"name": "conv5_block21_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block21_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1684}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1685}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block21_0_relu", 0, 0, {}]]], "shared_object_id": 1686, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1536}}, "shared_object_id": 2289}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1536]}}2 + +0root.layer_with_weights-0.layer_with_weights-354"_tf_keras_layer* {"name": "conv5_block21_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block21_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1687}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1688}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1689}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1690}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block21_1_conv", 0, 0, {}]]], "shared_object_id": 1691, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2290}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-625"_tf_keras_layer*{"name": "conv5_block21_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block21_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block21_1_bn", 0, 0, {}]]], "shared_object_id": 1692, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-355"_tf_keras_layer* +{"name": "conv5_block21_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block21_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1693}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1694}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block21_1_relu", 0, 0, {}]]], "shared_object_id": 1695, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2291}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-627"_tf_keras_layer*{"name": "conv5_block21_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block21_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block20_concat", 0, 0, {}], ["conv5_block21_2_conv", 0, 0, {}]]], "shared_object_id": 1696, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1536]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-356"_tf_keras_layer* {"name": "conv5_block22_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block22_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1697}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1698}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1699}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1700}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block21_concat", 0, 0, {}]]], "shared_object_id": 1701, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1568}}, "shared_object_id": 2292}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1568]}}2 +#root.layer_with_weights-0.layer-629"_tf_keras_layer*{"name": "conv5_block22_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block22_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block22_0_bn", 0, 0, {}]]], "shared_object_id": 1702, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1568]}}2 + 0root.layer_with_weights-0.layer_with_weights-357"_tf_keras_layer* +{"name": "conv5_block22_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block22_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1703}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1704}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block22_0_relu", 0, 0, {}]]], "shared_object_id": 1705, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1568}}, "shared_object_id": 2293}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1568]}}2 + +0root.layer_with_weights-0.layer_with_weights-358"_tf_keras_layer* {"name": "conv5_block22_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block22_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1706}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1707}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1708}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1709}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block22_1_conv", 0, 0, {}]]], "shared_object_id": 1710, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2294}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-632"_tf_keras_layer*{"name": "conv5_block22_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block22_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block22_1_bn", 0, 0, {}]]], "shared_object_id": 1711, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-359"_tf_keras_layer* +{"name": "conv5_block22_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block22_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1712}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1713}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block22_1_relu", 0, 0, {}]]], "shared_object_id": 1714, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2295}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-634"_tf_keras_layer*{"name": "conv5_block22_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block22_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block21_concat", 0, 0, {}], ["conv5_block22_2_conv", 0, 0, {}]]], "shared_object_id": 1715, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1568]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-360"_tf_keras_layer* {"name": "conv5_block23_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block23_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1716}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1717}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1718}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1719}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block22_concat", 0, 0, {}]]], "shared_object_id": 1720, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1600}}, "shared_object_id": 2296}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1600]}}2 +#root.layer_with_weights-0.layer-636"_tf_keras_layer*{"name": "conv5_block23_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block23_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block23_0_bn", 0, 0, {}]]], "shared_object_id": 1721, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1600]}}2 + 0root.layer_with_weights-0.layer_with_weights-361"_tf_keras_layer* +{"name": "conv5_block23_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block23_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1722}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1723}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block23_0_relu", 0, 0, {}]]], "shared_object_id": 1724, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1600}}, "shared_object_id": 2297}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1600]}}2 + +0root.layer_with_weights-0.layer_with_weights-362"_tf_keras_layer* {"name": "conv5_block23_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block23_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1725}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1726}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1727}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1728}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block23_1_conv", 0, 0, {}]]], "shared_object_id": 1729, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2298}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-639"_tf_keras_layer*{"name": "conv5_block23_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block23_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block23_1_bn", 0, 0, {}]]], "shared_object_id": 1730, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-363"_tf_keras_layer* +{"name": "conv5_block23_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block23_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1731}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1732}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block23_1_relu", 0, 0, {}]]], "shared_object_id": 1733, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2299}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-641"_tf_keras_layer*{"name": "conv5_block23_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block23_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block22_concat", 0, 0, {}], ["conv5_block23_2_conv", 0, 0, {}]]], "shared_object_id": 1734, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1600]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-364"_tf_keras_layer* {"name": "conv5_block24_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block24_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1735}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1736}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1737}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1738}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block23_concat", 0, 0, {}]]], "shared_object_id": 1739, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1632}}, "shared_object_id": 2300}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1632]}}2 +#root.layer_with_weights-0.layer-643"_tf_keras_layer*{"name": "conv5_block24_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block24_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block24_0_bn", 0, 0, {}]]], "shared_object_id": 1740, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1632]}}2 + 0root.layer_with_weights-0.layer_with_weights-365"_tf_keras_layer* +{"name": "conv5_block24_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block24_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1741}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1742}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block24_0_relu", 0, 0, {}]]], "shared_object_id": 1743, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1632}}, "shared_object_id": 2301}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1632]}}2 + +0root.layer_with_weights-0.layer_with_weights-366"_tf_keras_layer* {"name": "conv5_block24_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block24_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1744}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1745}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1746}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1747}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block24_1_conv", 0, 0, {}]]], "shared_object_id": 1748, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2302}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-646"_tf_keras_layer*{"name": "conv5_block24_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block24_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block24_1_bn", 0, 0, {}]]], "shared_object_id": 1749, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-367"_tf_keras_layer* +{"name": "conv5_block24_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block24_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1750}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1751}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block24_1_relu", 0, 0, {}]]], "shared_object_id": 1752, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2303}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-648"_tf_keras_layer*{"name": "conv5_block24_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block24_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block23_concat", 0, 0, {}], ["conv5_block24_2_conv", 0, 0, {}]]], "shared_object_id": 1753, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1632]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-368"_tf_keras_layer* {"name": "conv5_block25_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block25_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1754}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1755}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1756}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1757}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block24_concat", 0, 0, {}]]], "shared_object_id": 1758, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1664}}, "shared_object_id": 2304}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1664]}}2 +#root.layer_with_weights-0.layer-650"_tf_keras_layer*{"name": "conv5_block25_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block25_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block25_0_bn", 0, 0, {}]]], "shared_object_id": 1759, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1664]}}2 + 0root.layer_with_weights-0.layer_with_weights-369"_tf_keras_layer* +{"name": "conv5_block25_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block25_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1760}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1761}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block25_0_relu", 0, 0, {}]]], "shared_object_id": 1762, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1664}}, "shared_object_id": 2305}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1664]}}2 + +0root.layer_with_weights-0.layer_with_weights-370"_tf_keras_layer* {"name": "conv5_block25_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block25_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1763}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1764}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1765}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1766}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block25_1_conv", 0, 0, {}]]], "shared_object_id": 1767, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2306}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-653"_tf_keras_layer*{"name": "conv5_block25_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block25_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block25_1_bn", 0, 0, {}]]], "shared_object_id": 1768, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-371"_tf_keras_layer* +{"name": "conv5_block25_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block25_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1769}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1770}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block25_1_relu", 0, 0, {}]]], "shared_object_id": 1771, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2307}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-655"_tf_keras_layer*{"name": "conv5_block25_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block25_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block24_concat", 0, 0, {}], ["conv5_block25_2_conv", 0, 0, {}]]], "shared_object_id": 1772, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1664]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-372"_tf_keras_layer* {"name": "conv5_block26_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block26_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1773}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1774}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1775}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1776}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block25_concat", 0, 0, {}]]], "shared_object_id": 1777, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1696}}, "shared_object_id": 2308}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1696]}}2 +#root.layer_with_weights-0.layer-657"_tf_keras_layer*{"name": "conv5_block26_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block26_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block26_0_bn", 0, 0, {}]]], "shared_object_id": 1778, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1696]}}2 + 0root.layer_with_weights-0.layer_with_weights-373"_tf_keras_layer* +{"name": "conv5_block26_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block26_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1779}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1780}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block26_0_relu", 0, 0, {}]]], "shared_object_id": 1781, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1696}}, "shared_object_id": 2309}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1696]}}2 + +0root.layer_with_weights-0.layer_with_weights-374"_tf_keras_layer* {"name": "conv5_block26_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block26_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1782}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1783}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1784}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1785}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block26_1_conv", 0, 0, {}]]], "shared_object_id": 1786, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2310}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-660"_tf_keras_layer*{"name": "conv5_block26_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block26_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block26_1_bn", 0, 0, {}]]], "shared_object_id": 1787, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-375"_tf_keras_layer* +{"name": "conv5_block26_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block26_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1788}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1789}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block26_1_relu", 0, 0, {}]]], "shared_object_id": 1790, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2311}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-662"_tf_keras_layer*{"name": "conv5_block26_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block26_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block25_concat", 0, 0, {}], ["conv5_block26_2_conv", 0, 0, {}]]], "shared_object_id": 1791, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1696]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-376"_tf_keras_layer* {"name": "conv5_block27_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block27_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1792}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1793}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1794}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1795}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block26_concat", 0, 0, {}]]], "shared_object_id": 1796, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1728}}, "shared_object_id": 2312}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1728]}}2 +#root.layer_with_weights-0.layer-664"_tf_keras_layer*{"name": "conv5_block27_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block27_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block27_0_bn", 0, 0, {}]]], "shared_object_id": 1797, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1728]}}2 + 0root.layer_with_weights-0.layer_with_weights-377"_tf_keras_layer* +{"name": "conv5_block27_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block27_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1798}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1799}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block27_0_relu", 0, 0, {}]]], "shared_object_id": 1800, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1728}}, "shared_object_id": 2313}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1728]}}2 + +0root.layer_with_weights-0.layer_with_weights-378"_tf_keras_layer* {"name": "conv5_block27_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block27_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1801}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1802}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1803}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1804}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block27_1_conv", 0, 0, {}]]], "shared_object_id": 1805, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2314}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-667"_tf_keras_layer*{"name": "conv5_block27_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block27_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block27_1_bn", 0, 0, {}]]], "shared_object_id": 1806, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-379"_tf_keras_layer* +{"name": "conv5_block27_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block27_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1807}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1808}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block27_1_relu", 0, 0, {}]]], "shared_object_id": 1809, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2315}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-669"_tf_keras_layer*{"name": "conv5_block27_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block27_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block26_concat", 0, 0, {}], ["conv5_block27_2_conv", 0, 0, {}]]], "shared_object_id": 1810, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1728]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-380"_tf_keras_layer* {"name": "conv5_block28_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block28_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1811}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1812}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1813}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1814}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block27_concat", 0, 0, {}]]], "shared_object_id": 1815, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1760}}, "shared_object_id": 2316}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1760]}}2 +#root.layer_with_weights-0.layer-671"_tf_keras_layer*{"name": "conv5_block28_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block28_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block28_0_bn", 0, 0, {}]]], "shared_object_id": 1816, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1760]}}2 + 0root.layer_with_weights-0.layer_with_weights-381"_tf_keras_layer* +{"name": "conv5_block28_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block28_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1817}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1818}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block28_0_relu", 0, 0, {}]]], "shared_object_id": 1819, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1760}}, "shared_object_id": 2317}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1760]}}2 + +0root.layer_with_weights-0.layer_with_weights-382"_tf_keras_layer* {"name": "conv5_block28_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block28_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1820}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1821}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1822}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1823}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block28_1_conv", 0, 0, {}]]], "shared_object_id": 1824, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2318}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-674"_tf_keras_layer*{"name": "conv5_block28_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block28_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block28_1_bn", 0, 0, {}]]], "shared_object_id": 1825, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-383"_tf_keras_layer* +{"name": "conv5_block28_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block28_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1826}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1827}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block28_1_relu", 0, 0, {}]]], "shared_object_id": 1828, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2319}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-676"_tf_keras_layer*{"name": "conv5_block28_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block28_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block27_concat", 0, 0, {}], ["conv5_block28_2_conv", 0, 0, {}]]], "shared_object_id": 1829, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1760]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-384"_tf_keras_layer* {"name": "conv5_block29_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block29_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1830}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1831}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1832}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1833}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block28_concat", 0, 0, {}]]], "shared_object_id": 1834, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1792}}, "shared_object_id": 2320}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1792]}}2 +#root.layer_with_weights-0.layer-678"_tf_keras_layer*{"name": "conv5_block29_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block29_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block29_0_bn", 0, 0, {}]]], "shared_object_id": 1835, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1792]}}2 + 0root.layer_with_weights-0.layer_with_weights-385"_tf_keras_layer* +{"name": "conv5_block29_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block29_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1836}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1837}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block29_0_relu", 0, 0, {}]]], "shared_object_id": 1838, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1792}}, "shared_object_id": 2321}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1792]}}2 + +0root.layer_with_weights-0.layer_with_weights-386"_tf_keras_layer* {"name": "conv5_block29_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block29_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1839}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1840}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1841}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1842}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block29_1_conv", 0, 0, {}]]], "shared_object_id": 1843, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2322}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-681"_tf_keras_layer*{"name": "conv5_block29_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block29_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block29_1_bn", 0, 0, {}]]], "shared_object_id": 1844, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-387"_tf_keras_layer* +{"name": "conv5_block29_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block29_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1845}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1846}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block29_1_relu", 0, 0, {}]]], "shared_object_id": 1847, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2323}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-683"_tf_keras_layer*{"name": "conv5_block29_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block29_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block28_concat", 0, 0, {}], ["conv5_block29_2_conv", 0, 0, {}]]], "shared_object_id": 1848, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1792]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-388"_tf_keras_layer* {"name": "conv5_block30_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block30_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1849}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1850}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1851}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1852}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block29_concat", 0, 0, {}]]], "shared_object_id": 1853, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1824}}, "shared_object_id": 2324}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1824]}}2 +#root.layer_with_weights-0.layer-685"_tf_keras_layer*{"name": "conv5_block30_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block30_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block30_0_bn", 0, 0, {}]]], "shared_object_id": 1854, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1824]}}2 + 0root.layer_with_weights-0.layer_with_weights-389"_tf_keras_layer* +{"name": "conv5_block30_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block30_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1855}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1856}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block30_0_relu", 0, 0, {}]]], "shared_object_id": 1857, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1824}}, "shared_object_id": 2325}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1824]}}2 + +0root.layer_with_weights-0.layer_with_weights-390"_tf_keras_layer* {"name": "conv5_block30_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block30_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1858}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1859}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1860}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1861}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block30_1_conv", 0, 0, {}]]], "shared_object_id": 1862, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2326}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-688"_tf_keras_layer*{"name": "conv5_block30_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block30_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block30_1_bn", 0, 0, {}]]], "shared_object_id": 1863, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-391"_tf_keras_layer* +{"name": "conv5_block30_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block30_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1864}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1865}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block30_1_relu", 0, 0, {}]]], "shared_object_id": 1866, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2327}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-690"_tf_keras_layer*{"name": "conv5_block30_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block30_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block29_concat", 0, 0, {}], ["conv5_block30_2_conv", 0, 0, {}]]], "shared_object_id": 1867, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1824]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-392"_tf_keras_layer* {"name": "conv5_block31_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block31_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1868}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1869}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1870}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1871}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block30_concat", 0, 0, {}]]], "shared_object_id": 1872, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1856}}, "shared_object_id": 2328}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1856]}}2 +#root.layer_with_weights-0.layer-692"_tf_keras_layer*{"name": "conv5_block31_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block31_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block31_0_bn", 0, 0, {}]]], "shared_object_id": 1873, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1856]}}2 + 0root.layer_with_weights-0.layer_with_weights-393"_tf_keras_layer* +{"name": "conv5_block31_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block31_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1874}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1875}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block31_0_relu", 0, 0, {}]]], "shared_object_id": 1876, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1856}}, "shared_object_id": 2329}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1856]}}2 + +0root.layer_with_weights-0.layer_with_weights-394"_tf_keras_layer* {"name": "conv5_block31_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block31_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1877}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1878}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1879}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1880}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block31_1_conv", 0, 0, {}]]], "shared_object_id": 1881, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2330}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-695"_tf_keras_layer*{"name": "conv5_block31_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block31_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block31_1_bn", 0, 0, {}]]], "shared_object_id": 1882, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-395"_tf_keras_layer* +{"name": "conv5_block31_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block31_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1883}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1884}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block31_1_relu", 0, 0, {}]]], "shared_object_id": 1885, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2331}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-697"_tf_keras_layer*{"name": "conv5_block31_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block31_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block30_concat", 0, 0, {}], ["conv5_block31_2_conv", 0, 0, {}]]], "shared_object_id": 1886, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1856]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-396"_tf_keras_layer* {"name": "conv5_block32_0_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block32_0_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1887}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1888}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1889}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1890}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block31_concat", 0, 0, {}]]], "shared_object_id": 1891, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1888}}, "shared_object_id": 2332}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1888]}}2 +#root.layer_with_weights-0.layer-699"_tf_keras_layer*{"name": "conv5_block32_0_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block32_0_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block32_0_bn", 0, 0, {}]]], "shared_object_id": 1892, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1888]}}2 + 0root.layer_with_weights-0.layer_with_weights-397"_tf_keras_layer* +{"name": "conv5_block32_1_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block32_1_conv", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1893}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1894}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block32_0_relu", 0, 0, {}]]], "shared_object_id": 1895, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1888}}, "shared_object_id": 2333}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1888]}}2 + +0root.layer_with_weights-0.layer_with_weights-398"_tf_keras_layer* {"name": "conv5_block32_1_bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "conv5_block32_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1896}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1897}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1898}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1899}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block32_1_conv", 0, 0, {}]]], "shared_object_id": 1900, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 2334}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-702"_tf_keras_layer*{"name": "conv5_block32_1_relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "conv5_block32_1_relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["conv5_block32_1_bn", 0, 0, {}]]], "shared_object_id": 1901, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 + +0root.layer_with_weights-0.layer_with_weights-399"_tf_keras_layer* +{"name": "conv5_block32_2_conv", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Conv2D", "config": {"name": "conv5_block32_2_conv", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1902}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1903}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv5_block32_1_relu", 0, 0, {}]]], "shared_object_id": 1904, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 2335}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 128]}}2 +#root.layer_with_weights-0.layer-704"_tf_keras_layer*{"name": "conv5_block32_concat", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Concatenate", "config": {"name": "conv5_block32_concat", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv5_block31_concat", 0, 0, {}], ["conv5_block32_2_conv", 0, 0, {}]]], "shared_object_id": 1905, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 7, 7, 1888]}, {"class_name": "TensorShape", "items": [null, 7, 7, 32]}]}2 + +0root.layer_with_weights-0.layer_with_weights-400"_tf_keras_layer* {"name": "bn", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "BatchNormalization", "config": {"name": "bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 1.001e-05, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1906}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1907}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 1908}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 1909}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv5_block32_concat", 0, 0, {}]]], "shared_object_id": 1910, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1920}}, "shared_object_id": 2336}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1920]}}2 +#root.layer_with_weights-0.layer-706"_tf_keras_layer*{"name": "relu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Activation", "config": {"name": "relu", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["bn", 0, 0, {}]]], "shared_object_id": 1911, "build_input_shape": {"class_name": "TensorShape", "items": [null, 7, 7, 1920]}}2 +2root.keras_api.metrics.0"_tf_keras_metric*{"class_name": "Mean", "name": "loss", "dtype": "float32", "config": {"name": "loss", "dtype": "float32"}, "shared_object_id": 2337}2 +2root.keras_api.metrics.1"_tf_keras_metric*{"class_name": "MeanMetricWrapper", "name": "accuracy", "dtype": "float32", "config": {"name": "accuracy", "dtype": "float32", "fn": "categorical_accuracy"}, "shared_object_id": 1925}2 \ No newline at end of file diff --git a/src/后端/src/main/java/model/saved_model.pb b/src/后端/src/main/java/model/saved_model.pb new file mode 100644 index 00000000..c9d037c7 Binary files /dev/null and b/src/后端/src/main/java/model/saved_model.pb differ diff --git a/src/后端/src/main/java/model/variables/variables.data-00000-of-00001 b/src/后端/src/main/java/model/variables/variables.data-00000-of-00001 new file mode 100644 index 00000000..fa2bdaf4 Binary files /dev/null and b/src/后端/src/main/java/model/variables/variables.data-00000-of-00001 differ diff --git a/src/后端/src/main/java/model/variables/variables.index b/src/后端/src/main/java/model/variables/variables.index new file mode 100644 index 00000000..292dbebc Binary files /dev/null and b/src/后端/src/main/java/model/variables/variables.index differ diff --git a/src/后端/src/main/resources/application.yml b/src/后端/src/main/resources/application.yml new file mode 100644 index 00000000..929fe136 --- /dev/null +++ b/src/后端/src/main/resources/application.yml @@ -0,0 +1,22 @@ +server: + port: 9999 + http2: + enabled: true + + +spring: + datasource: + username: root + password: 123456 + url: jdbc:mysql:///test + redis: + host: localhost + port: 6379 + servlet: + multipart: + max-file-size: 10MB + + +logging: + level: + com.com.example.demo: debug diff --git a/src/后端/src/main/resources/mapper/sys/InformationQueryMapper.xml b/src/后端/src/main/resources/mapper/sys/InformationQueryMapper.xml new file mode 100644 index 00000000..c45a1b3e --- /dev/null +++ b/src/后端/src/main/resources/mapper/sys/InformationQueryMapper.xml @@ -0,0 +1,11 @@ + + + + + + + \ No newline at end of file diff --git a/src/后端/src/main/resources/mapper/sys/MenuMapper.xml b/src/后端/src/main/resources/mapper/sys/MenuMapper.xml new file mode 100644 index 00000000..218036f9 --- /dev/null +++ b/src/后端/src/main/resources/mapper/sys/MenuMapper.xml @@ -0,0 +1,5 @@ + + + + + diff --git a/src/后端/src/main/resources/mapper/sys/RoleMapper.xml b/src/后端/src/main/resources/mapper/sys/RoleMapper.xml new file mode 100644 index 00000000..468314cd --- /dev/null +++ b/src/后端/src/main/resources/mapper/sys/RoleMapper.xml @@ -0,0 +1,5 @@ + + + + + diff --git a/src/后端/src/main/resources/mapper/sys/RoleMenuMapper.xml b/src/后端/src/main/resources/mapper/sys/RoleMenuMapper.xml new file mode 100644 index 00000000..1cd2a03e --- /dev/null +++ b/src/后端/src/main/resources/mapper/sys/RoleMenuMapper.xml @@ -0,0 +1,5 @@ + + + + + diff --git a/src/后端/src/main/resources/mapper/sys/UserMapper.xml b/src/后端/src/main/resources/mapper/sys/UserMapper.xml new file mode 100644 index 00000000..8a44df17 --- /dev/null +++ b/src/后端/src/main/resources/mapper/sys/UserMapper.xml @@ -0,0 +1,9 @@ + + + + + diff --git a/src/后端/src/main/resources/mapper/sys/UserRoleMapper.xml b/src/后端/src/main/resources/mapper/sys/UserRoleMapper.xml new file mode 100644 index 00000000..75827fb4 --- /dev/null +++ b/src/后端/src/main/resources/mapper/sys/UserRoleMapper.xml @@ -0,0 +1,5 @@ + + + + + diff --git a/src/后端/src/test/java/com/example/demo/CodeGenerator.java b/src/后端/src/test/java/com/example/demo/CodeGenerator.java new file mode 100644 index 00000000..e7657f75 --- /dev/null +++ b/src/后端/src/test/java/com/example/demo/CodeGenerator.java @@ -0,0 +1,48 @@ +package com.example.demo; + +import com.baomidou.mybatisplus.generator.FastAutoGenerator; +import com.baomidou.mybatisplus.generator.config.OutputFile; +import com.baomidou.mybatisplus.generator.config.rules.DbColumnType; +import com.baomidou.mybatisplus.generator.engine.FreemarkerTemplateEngine; +import org.springframework.web.bind.annotation.CrossOrigin; + +import java.sql.Types; +import java.util.Collections; +@CrossOrigin +public class CodeGenerator { + public static void main(String[] args) { + String url = "jdbc:mysql:///test"; + String username = "root"; + String password = "123456"; + String moduleName = "sys"; + String mapperLocation = "D:\\软件工程课设\\项目\\test\\demo\\src\\main\\resources\\mapper\\" + moduleName; + String tables = "x_user,x_role,x_menu,x_user_role,x_role_menu"; + FastAutoGenerator.create(url, username, password) + .globalConfig(builder -> { + builder.author("xht") // 设置作者 + // .enableSwagger() // 开启 swagger 模式 + // .fileOverride() // 覆盖已生成文件 + .outputDir("D:\\软件工程课设\\项目\\test\\demo\\src\\main\\java"); // 指定输出目录 + }) + .dataSourceConfig(builder -> builder.typeConvertHandler((globalConfig, typeRegistry, metaInfo) -> { + int typeCode = metaInfo.getJdbcType().TYPE_CODE; + if (typeCode == Types.SMALLINT) { + // 自定义类型转换 + return DbColumnType.INTEGER; + } + return typeRegistry.getColumnType(metaInfo); + + })) + .packageConfig(builder -> { + builder.parent("com.com.example.demo") // 设置父包名 + .moduleName(moduleName) // 设置父包模块名 + .pathInfo(Collections.singletonMap(OutputFile.xml, mapperLocation)); // 设置mapperXml生成路径 + }) + .strategyConfig(builder -> { + builder.addInclude(tables) // 设置需要生成的表名 + .addTablePrefix("x_"); // 设置过滤表前缀 + }) + .templateEngine(new FreemarkerTemplateEngine()) // 使用Freemarker引擎模板,默认的是Velocity引擎模板 + .execute(); + } +} diff --git a/src/后端/src/test/java/com/example/demo/DemoApplicationTests.java b/src/后端/src/test/java/com/example/demo/DemoApplicationTests.java new file mode 100644 index 00000000..e2302556 --- /dev/null +++ b/src/后端/src/test/java/com/example/demo/DemoApplicationTests.java @@ -0,0 +1,26 @@ +package com.example.demo; + +import com.com.example.demo.sys.entity.User; +import com.com.example.demo.sys.mapper.UserMapper; +import org.junit.jupiter.api.Test; +import org.springframework.boot.test.context.SpringBootTest; +import org.springframework.web.bind.annotation.CrossOrigin; + +import javax.annotation.Resource; +import java.util.List; + +@SpringBootTest +@CrossOrigin +class DemoApplicationTests { + + + @Resource + private UserMapper userMapper; + + @Test + void contextLoads() { + List users = userMapper.selectList(null); + users.forEach(System.out::println); + } + +}