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500 lines
16 KiB
500 lines
16 KiB
import contextlib
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import functools
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import hashlib
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import os
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import re
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import sys
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import textwrap
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from argparse import Namespace
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from dataclasses import fields, is_dataclass
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from enum import auto, Enum
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from typing import (
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Any,
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Callable,
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Dict,
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Generic,
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Iterable,
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Iterator,
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List,
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Literal,
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NoReturn,
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Optional,
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Sequence,
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Set,
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Tuple,
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TypeVar,
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Union,
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)
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from typing_extensions import Self
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from torchgen.code_template import CodeTemplate
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# Many of these functions share logic for defining both the definition
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# and declaration (for example, the function signature is the same), so
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# we organize them into one function that takes a Target to say which
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# code we want.
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#
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# This is an OPEN enum (we may add more cases to it in the future), so be sure
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# to explicitly specify with Literal[Target.XXX] or Literal[Target.XXX, Target.YYY]
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# what targets are valid for your use.
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class Target(Enum):
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# top level namespace (not including at)
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DEFINITION = auto()
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DECLARATION = auto()
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# TORCH_LIBRARY(...) { ... }
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REGISTRATION = auto()
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# namespace { ... }
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ANONYMOUS_DEFINITION = auto()
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# namespace cpu { ... }
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NAMESPACED_DEFINITION = auto()
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NAMESPACED_DECLARATION = auto()
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# Matches "foo" in "foo, bar" but not "foobar". Used to search for the
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# occurrence of a parameter in the derivative formula
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IDENT_REGEX = r"(^|\W){}($|\W)"
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# TODO: Use a real parser here; this will get bamboozled
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def split_name_params(schema: str) -> Tuple[str, List[str]]:
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m = re.match(r"(\w+)(\.\w+)?\((.*)\)", schema)
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if m is None:
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raise RuntimeError(f"Unsupported function schema: {schema}")
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name, _, params = m.groups()
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return name, params.split(", ")
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T = TypeVar("T")
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S = TypeVar("S")
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# These two functions purposely return generators in analogy to map()
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# so that you don't mix up when you need to list() them
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# Map over function that may return None; omit Nones from output sequence
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def mapMaybe(func: Callable[[T], Optional[S]], xs: Iterable[T]) -> Iterator[S]:
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for x in xs:
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r = func(x)
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if r is not None:
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yield r
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# Map over function that returns sequences and cat them all together
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def concatMap(func: Callable[[T], Sequence[S]], xs: Iterable[T]) -> Iterator[S]:
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for x in xs:
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yield from func(x)
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# Conveniently add error context to exceptions raised. Lets us
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# easily say that an error occurred while processing a specific
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# context.
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@contextlib.contextmanager
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def context(msg_fn: Callable[[], str]) -> Iterator[None]:
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try:
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yield
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except Exception as e:
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# TODO: this does the wrong thing with KeyError
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msg = msg_fn()
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msg = textwrap.indent(msg, " ")
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msg = f"{e.args[0]}\n{msg}" if e.args else msg
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e.args = (msg,) + e.args[1:]
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raise
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# A little trick from https://github.com/python/mypy/issues/6366
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# for getting mypy to do exhaustiveness checking
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# TODO: put this somewhere else, maybe
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def assert_never(x: NoReturn) -> NoReturn:
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raise AssertionError(f"Unhandled type: {type(x).__name__}")
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@functools.lru_cache(maxsize=None)
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def _read_template(template_fn: str) -> CodeTemplate:
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return CodeTemplate.from_file(template_fn)
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# String hash that's stable across different executions, unlike builtin hash
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def string_stable_hash(s: str) -> int:
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sha1 = hashlib.sha1(s.encode("latin1")).digest()
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return int.from_bytes(sha1, byteorder="little")
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# A small abstraction for writing out generated files and keeping track
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# of what files have been written (so you can write out a list of output
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# files)
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class FileManager:
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install_dir: str
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template_dir: str
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dry_run: bool
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filenames: Set[str]
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def __init__(self, install_dir: str, template_dir: str, dry_run: bool) -> None:
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self.install_dir = install_dir
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self.template_dir = template_dir
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self.filenames = set()
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self.dry_run = dry_run
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def _write_if_changed(self, filename: str, contents: str) -> None:
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old_contents: Optional[str]
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try:
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with open(filename) as f:
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old_contents = f.read()
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except OSError:
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old_contents = None
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if contents != old_contents:
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# Create output directory if it doesn't exist
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os.makedirs(os.path.dirname(filename), exist_ok=True)
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with open(filename, "w") as f:
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f.write(contents)
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# Read from template file and replace pattern with callable (type could be dict or str).
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def substitute_with_template(
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self, template_fn: str, env_callable: Callable[[], Union[str, Dict[str, Any]]]
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) -> str:
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template_path = os.path.join(self.template_dir, template_fn)
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env = env_callable()
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if isinstance(env, dict):
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# TODO: Update the comment reference to the correct location
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if "generated_comment" not in env:
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comment = "@" + "generated by torchgen/gen.py"
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comment += f" from {os.path.basename(template_path)}"
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env["generated_comment"] = comment
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template = _read_template(template_path)
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return template.substitute(env)
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elif isinstance(env, str):
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return env
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else:
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assert_never(env)
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def write_with_template(
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self,
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filename: str,
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template_fn: str,
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env_callable: Callable[[], Union[str, Dict[str, Any]]],
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) -> None:
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filename = f"{self.install_dir}/{filename}"
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assert filename not in self.filenames, "duplicate file write {filename}"
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self.filenames.add(filename)
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if not self.dry_run:
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substitute_out = self.substitute_with_template(
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template_fn=template_fn,
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env_callable=env_callable,
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)
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self._write_if_changed(filename=filename, contents=substitute_out)
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def write(
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self,
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filename: str,
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env_callable: Callable[[], Union[str, Dict[str, Any]]],
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) -> None:
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self.write_with_template(filename, filename, env_callable)
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def write_sharded(
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self,
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filename: str,
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items: Iterable[T],
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*,
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key_fn: Callable[[T], str],
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env_callable: Callable[[T], Dict[str, List[str]]],
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num_shards: int,
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base_env: Optional[Dict[str, Any]] = None,
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sharded_keys: Set[str],
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) -> None:
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everything: Dict[str, Any] = {"shard_id": "Everything"}
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shards: List[Dict[str, Any]] = [
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{"shard_id": f"_{i}"} for i in range(num_shards)
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]
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all_shards = [everything] + shards
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if base_env is not None:
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for shard in all_shards:
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shard.update(base_env)
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for key in sharded_keys:
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for shard in all_shards:
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if key in shard:
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assert isinstance(
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shard[key], list
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), "sharded keys in base_env must be a list"
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shard[key] = shard[key].copy()
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else:
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shard[key] = []
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def merge_env(into: Dict[str, List[str]], from_: Dict[str, List[str]]) -> None:
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for k, v in from_.items():
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assert k in sharded_keys, f"undeclared sharded key {k}"
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into[k] += v
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if self.dry_run:
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# Dry runs don't write any templates, so incomplete environments are fine
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items = ()
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for item in items:
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key = key_fn(item)
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sid = string_stable_hash(key) % num_shards
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env = env_callable(item)
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merge_env(shards[sid], env)
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merge_env(everything, env)
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dot_pos = filename.rfind(".")
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if dot_pos == -1:
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dot_pos = len(filename)
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base_filename = filename[:dot_pos]
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extension = filename[dot_pos:]
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for shard in all_shards:
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shard_id = shard["shard_id"]
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self.write_with_template(
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f"{base_filename}{shard_id}{extension}", filename, lambda: shard
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)
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# filenames is used to track compiled files, but FooEverything.cpp isn't meant to be compiled
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self.filenames.discard(
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f"{self.install_dir}/{base_filename}Everything{extension}"
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)
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def write_outputs(self, variable_name: str, filename: str) -> None:
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"""Write a file containing the list of all outputs which are
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generated by this script."""
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content = "set({}\n {})".format(
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variable_name,
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"\n ".join('"' + name + '"' for name in sorted(self.filenames)),
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)
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self._write_if_changed(filename, content)
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def template_dir_for_comments(self) -> str:
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"""
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This needs to be deterministic. The template dir is an absolute path
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that varies across builds. So, just use the path relative to this file,
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which will point to the codegen source but will be stable.
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"""
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return os.path.relpath(self.template_dir, os.path.dirname(__file__))
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# Helper function to generate file manager
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def make_file_manager(
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options: Namespace, install_dir: Optional[str] = None
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) -> FileManager:
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template_dir = os.path.join(options.source_path, "templates")
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install_dir = install_dir if install_dir else options.install_dir
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return FileManager(
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install_dir=install_dir, template_dir=template_dir, dry_run=options.dry_run
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)
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# Helper function to create a pretty representation for dataclasses
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def dataclass_repr(
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obj: Any,
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indent: int = 0,
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width: int = 80,
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) -> str:
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# built-in pprint module support dataclasses from python 3.10
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if sys.version_info >= (3, 10):
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from pprint import pformat
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return pformat(obj, indent, width)
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return _pformat(obj, indent=indent, width=width)
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def _pformat(
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obj: Any,
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indent: int,
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width: int,
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curr_indent: int = 0,
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) -> str:
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assert is_dataclass(obj), f"obj should be a dataclass, received: {type(obj)}"
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class_name = obj.__class__.__name__
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# update current indentation level with class name
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curr_indent += len(class_name) + 1
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fields_list = [(f.name, getattr(obj, f.name)) for f in fields(obj) if f.repr]
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fields_str = []
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for name, attr in fields_list:
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# update the current indent level with the field name
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# dict, list, set and tuple also add indent as done in pprint
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_curr_indent = curr_indent + len(name) + 1
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if is_dataclass(attr):
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str_repr = _pformat(attr, indent, width, _curr_indent)
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elif isinstance(attr, dict):
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str_repr = _format_dict(attr, indent, width, _curr_indent)
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elif isinstance(attr, (list, set, tuple)):
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str_repr = _format_list(attr, indent, width, _curr_indent)
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else:
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str_repr = repr(attr)
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fields_str.append(f"{name}={str_repr}")
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indent_str = curr_indent * " "
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body = f",\n{indent_str}".join(fields_str)
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return f"{class_name}({body})"
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def _format_dict(
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attr: Dict[Any, Any],
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indent: int,
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width: int,
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curr_indent: int,
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) -> str:
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curr_indent += indent + 3
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dict_repr = []
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for k, v in attr.items():
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k_repr = repr(k)
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v_str = (
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_pformat(v, indent, width, curr_indent + len(k_repr))
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if is_dataclass(v)
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else repr(v)
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)
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dict_repr.append(f"{k_repr}: {v_str}")
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return _format(dict_repr, indent, width, curr_indent, "{", "}")
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def _format_list(
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attr: Union[List[Any], Set[Any], Tuple[Any, ...]],
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indent: int,
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width: int,
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curr_indent: int,
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) -> str:
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curr_indent += indent + 1
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list_repr = [
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_pformat(l, indent, width, curr_indent) if is_dataclass(l) else repr(l)
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for l in attr
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]
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start, end = ("[", "]") if isinstance(attr, list) else ("(", ")")
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return _format(list_repr, indent, width, curr_indent, start, end)
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def _format(
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fields_str: List[str],
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indent: int,
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width: int,
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curr_indent: int,
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start: str,
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end: str,
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) -> str:
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delimiter, curr_indent_str = "", ""
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# if it exceed the max width then we place one element per line
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if len(repr(fields_str)) >= width:
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delimiter = "\n"
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curr_indent_str = " " * curr_indent
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indent_str = " " * indent
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body = f", {delimiter}{curr_indent_str}".join(fields_str)
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return f"{start}{indent_str}{body}{end}"
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class NamespaceHelper:
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"""A helper for constructing the namespace open and close strings for a nested set of namespaces.
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e.g. for namespace_str torch::lazy,
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prologue:
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namespace torch {
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namespace lazy {
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epilogue:
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} // namespace lazy
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} // namespace torch
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"""
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def __init__(self, namespace_str: str, entity_name: str = "", max_level: int = 2):
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# cpp_namespace can be a colon joined string such as torch::lazy
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cpp_namespaces = namespace_str.split("::")
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assert (
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len(cpp_namespaces) <= max_level
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), f"Codegen doesn't support more than {max_level} level(s) of custom namespace. Got {namespace_str}."
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self.cpp_namespace_ = namespace_str
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self.prologue_ = "\n".join([f"namespace {n} {{" for n in cpp_namespaces])
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self.epilogue_ = "\n".join(
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[f"}} // namespace {n}" for n in reversed(cpp_namespaces)]
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)
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self.namespaces_ = cpp_namespaces
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self.entity_name_ = entity_name
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@staticmethod
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def from_namespaced_entity(
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namespaced_entity: str, max_level: int = 2
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) -> "NamespaceHelper":
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"""
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Generate helper from nested namespaces as long as class/function name. E.g.: "torch::lazy::add"
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"""
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names = namespaced_entity.split("::")
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entity_name = names[-1]
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namespace_str = "::".join(names[:-1])
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return NamespaceHelper(
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namespace_str=namespace_str, entity_name=entity_name, max_level=max_level
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)
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@property
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def prologue(self) -> str:
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return self.prologue_
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@property
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def epilogue(self) -> str:
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return self.epilogue_
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@property
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def entity_name(self) -> str:
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return self.entity_name_
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# Only allow certain level of namespaces
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def get_cpp_namespace(self, default: str = "") -> str:
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"""
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Return the namespace string from joining all the namespaces by "::" (hence no leading "::").
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Return default if namespace string is empty.
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"""
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return self.cpp_namespace_ if self.cpp_namespace_ else default
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class OrderedSet(Generic[T]):
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storage: Dict[T, Literal[None]]
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def __init__(self, iterable: Optional[Iterable[T]] = None):
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if iterable is None:
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self.storage = {}
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else:
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self.storage = dict.fromkeys(iterable)
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def __contains__(self, item: T) -> bool:
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return item in self.storage
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def __iter__(self) -> Iterator[T]:
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return iter(self.storage.keys())
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def update(self, items: "OrderedSet[T]") -> None:
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self.storage.update(items.storage)
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def add(self, item: T) -> None:
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self.storage[item] = None
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def copy(self) -> "OrderedSet[T]":
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ret: OrderedSet[T] = OrderedSet()
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ret.storage = self.storage.copy()
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return ret
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@staticmethod
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def union(*args: "OrderedSet[T]") -> "OrderedSet[T]":
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ret = args[0].copy()
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for s in args[1:]:
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ret.update(s)
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return ret
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def __or__(self, other: "OrderedSet[T]") -> "OrderedSet[T]":
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return OrderedSet.union(self, other)
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def __ior__(self, other: "OrderedSet[T]") -> Self:
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self.update(other)
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return self
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def __eq__(self, other: object) -> bool:
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if isinstance(other, OrderedSet):
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return self.storage == other.storage
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else:
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return set(self.storage.keys()) == other
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