提交源码

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wangziyang 3 years ago
parent 206a6b7e5f
commit c28839d24b

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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed 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
#
# http://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.
from . import infer

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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed 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
#
# http://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.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
__dir__ = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.abspath(os.path.join(__dir__, '../')))
from ppcls.utils import config
from ppcls.engine.engine import Engine
if __name__ == "__main__":
args = config.parse_args()
config = config.get_config(
args.config, overrides=args.override, show=False)
engine = Engine(config, mode="eval")
engine.eval()

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#!/usr/bin/env bash
# for single card eval
# python3.7 tools/eval.py -c ./ppcls/configs/ImageNet/ResNet/ResNet50.yaml
# for multi-cards eval
python3.7 -m paddle.distributed.launch --gpus="0,1,2,3" tools/eval.py -c ./ppcls/configs/ImageNet/ResNet/ResNet50.yaml

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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed 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
#
# http://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.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
__dir__ = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.abspath(os.path.join(__dir__, '../')))
import paddle
import paddle.nn as nn
from ppcls.utils import config
from ppcls.engine.engine import Engine
if __name__ == "__main__":
args = config.parse_args()
config = config.get_config(
args.config, overrides=args.override, show=False)
engine = Engine(config, mode="export")
engine.export()

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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed 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
#
# http://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.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
__dir__ = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.abspath(os.path.join(__dir__, '../')))
from ppcls.utils import config
from ppcls.engine.engine import Engine
if __name__ == "__main__":
args = config.parse_args()
config = config.get_config(
args.config, overrides=args.override, show=False)
engine = Engine(config, mode="infer")
engine.infer()

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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed 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
#
# http://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.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
__dir__ = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.abspath(os.path.join(__dir__, '../')))
from ppcls.utils import config
from ppcls.engine.engine import Engine
if __name__ == "__main__":
args = config.parse_args()
config = config.get_config(
args.config, overrides=args.override, show=False)
config.profiler_options = args.profiler_options
engine = Engine(config, mode="train")
engine.train()

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#!/usr/bin/env bash
# for single card train
# python3.7 tools/train.py -c ./ppcls/configs/ImageNet/ResNet/ResNet50.yaml
# for multi-cards train
export CUDA_VISIBLE_DEVICES=0,1,2,3
python3.7 -m paddle.distributed.launch --gpus="0,1,2,3" tools/train.py -c ./ppcls/configs/ImageNet/ResNet/ResNet50.yaml
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