chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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import collections
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import copy
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import functools
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import inspect
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import logging
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import os
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import pdb # noqa: T100
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import re
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from typing import TYPE_CHECKING, Any
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import numpy
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from paddle.nn import Layer
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from .convert_operators import (
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convert_enumerate,
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convert_len,
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convert_print,
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convert_range,
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convert_zip,
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)
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from .logging_utils import TranslatorLogger
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from .program_translator import (
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StaticFunction,
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convert_to_static,
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unwrap_decorators,
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)
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from .utils import (
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TransformOptions,
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is_builtin,
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is_paddle_func,
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patch_method_guard,
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)
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if TYPE_CHECKING:
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from collections.abc import Callable
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from types import ModuleType
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__all__ = []
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translator_logger = TranslatorLogger()
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def builtin_modules():
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"""
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Return builtin modules.
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"""
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modules = [
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copy,
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collections,
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inspect,
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logging,
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numpy,
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os,
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pdb,
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re,
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]
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try:
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import six
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modules.append(six)
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except ImportError:
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pass # do nothing
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return modules
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BUILTIN_LIKELY_MODULES = builtin_modules()
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def add_ignore_module(modules: list[ModuleType]):
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"""
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Adds modules that ignore transcription
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"""
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global BUILTIN_LIKELY_MODULES
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for module in modules:
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if module not in BUILTIN_LIKELY_MODULES:
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BUILTIN_LIKELY_MODULES.append(module)
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@functools.lru_cache
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def get_module_functions(module: ModuleType) -> list[Callable[..., Any]]:
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visited = set()
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def _try_get_members(module) -> list[tuple[str, Any]]:
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try:
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return inspect.getmembers(module)
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except Exception:
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return []
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def _get_module_functions(module):
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if module in visited:
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return []
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visited.add(module)
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results = []
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for _member_name, member in _try_get_members(module):
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if callable(member):
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results.append(member)
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if inspect.ismodule(member):
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results.extend(_get_module_functions(member))
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return results
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return _get_module_functions(module)
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@functools.lru_cache
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def get_module_defining_path(module: ModuleType) -> str | None:
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def _remove_module_init_suffix(file_path: str) -> str:
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return file_path.removesuffix("__init__.py")
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if not hasattr(module, "__file__") or module.__file__ is None:
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return None
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return _remove_module_init_suffix(module.__file__)
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def is_unsupported(func):
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"""
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Checks whether the func is supported by dygraph to static graph.
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"""
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builtin_module_paths = [
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module_path
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for module in BUILTIN_LIKELY_MODULES
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if (module_path := get_module_defining_path(module)) is not None
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]
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# Skip module function by function defining path (For Python functions)
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if hasattr(func, "__code__") and func.__code__.co_filename:
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func_path = func.__code__.co_filename
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if any(
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func_path.startswith(module_path)
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for module_path in builtin_module_paths
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):
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translator_logger.log(
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2,
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"Whitelist: %s is part of built-in module and does not have to be transformed.",
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func,
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)
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return True
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builtin_functions = [
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func
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for module in BUILTIN_LIKELY_MODULES
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for func in get_module_functions(module)
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]
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# Skip module function by module members (For C/C++ binding functions)
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for builtin_fn in builtin_functions:
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if func is builtin_fn:
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translator_logger.log(
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2,
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"Whitelist: %s is part of built-in module and does not have to be transformed.",
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func,
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)
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return True
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if is_paddle_func(func):
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translator_logger.log(
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2,
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"Whitelist: %s is part of Paddle module and does not have to be transformed.",
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func,
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)
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return True
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return False
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class StaticLayerWrapper:
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def __init__(self, layer):
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self.layer = layer
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def __call__(self, *args, **kwargs):
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with patch_method_guard(
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self.layer, "forward", convert_call(self.layer.forward)
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):
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return self.layer(*args, **kwargs)
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def convert_call(func):
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"""
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Converts a function call which needs to be transformed to static function.
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Args:
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func (callable): A callable function or method to convert.
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Returns:
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Callable: A converted function.
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Examples:
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.. code-block:: pycon
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>>> # doctest: +SKIP('`paddle.jit.to_static` can not run in xdoctest')
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>>> import paddle
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>>> from paddle.jit.dy2static import Call
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>>> paddle.enable_static()
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>>> def dyfunc(x):
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... if paddle.mean(x) < 0:
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... x_v = x - 1
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... else:
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... x_v = x + 1
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... return x_v
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>>> new_func = Call(dyfunc)
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>>> x = paddle.tensor.manipulation.fill_constant(shape=[3, 3], value=0, dtype='float64')
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>>> x_v = new_func(x)
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>>> exe = paddle.static.Executor(paddle.CPUPlace())
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>>> out = exe.run(fetch_list=[x_v])
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>>> print(out[0])
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[[1. 1. 1.]
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[1. 1. 1.]
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[1. 1. 1.]]
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"""
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translator_logger.log(1, "Convert callable object: convert %s.", func)
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func_self = None
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converted_call = None
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# Function in convert_call may be decorated by another `@to_static`,
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# in this case, unwraps it into a raw method or function.
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_, func = unwrap_decorators(func)
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if not TransformOptions.check_fn_need_transform(
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func, TransformOptions.ToStaticMode.AST
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):
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translator_logger.log(
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2,
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"%s is not converted when it is decorated by 'paddle.jit.not_to_static'.",
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func,
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)
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return func
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if is_builtin(func, "len"):
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return convert_len
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if is_builtin(func, "zip"):
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return convert_zip
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if is_builtin(func, "range"):
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return convert_range
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if is_builtin(func, "enumerate"):
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return convert_enumerate
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if is_builtin(func, "print"):
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return convert_print
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if is_builtin(func) or is_unsupported(func):
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return func
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if inspect.isgeneratorfunction(func):
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# NOTE(xiongkun03): inspect.isfunction() will return True even though func is a generator function.
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# If we don't deal generator function here, we will regard it as normal function and get errors in some
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# occasion.
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number_of_stars = 30
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translator_logger.warn(
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"\n\n"
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+ "*" * number_of_stars
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+ f"\nYour function:`{func.__name__}` doesn't support to transform to static function because it is a generator function, it will be run as-is."
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+ "\n"
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+ "*" * number_of_stars
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+ "\n\n"
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)
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return func
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if inspect.isfunction(func):
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# TODO(liym27): If func is a lambda function, special conversion is needed.
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if func.__name__ == '<lambda>':
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return func
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try:
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# Note(Aurelius84): Because `@to_static` returns a class instance instead of
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# a function. This will modify the value referring to itself in `__globals__`.
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# For example:
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#
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# @to_static
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# def foo(x):
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# return x
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#
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# `foo` will be converted into a wrapper class, suppose as `StaticFunction`.
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# And `foo.__globals__['foo']` will still return this `StaticFunction` instead of
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# `foo` function. So `isinstance(fn, StaticFunction)` is added here.
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_origfunc = inspect.unwrap(func)
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global_functions = set()
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for fn in _origfunc.__globals__.values():
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if inspect.isfunction(fn):
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global_functions.add(fn)
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elif isinstance(fn, StaticFunction):
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_, fn = unwrap_decorators(fn)
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global_functions.add(fn)
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elif inspect.isclass(fn):
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if isinstance(
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fn.__dict__.get(func.__name__, None), staticmethod
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):
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global_functions.add(
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func
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) # Add func to ensure that we will convert
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if func in global_functions:
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converted_call = convert_to_static(func)
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func_self = getattr(func, '__self__', None)
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else:
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# NOTE:
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# If func is not in __globals__, it does not need to be transformed
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# because it has been transformed before.
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translator_logger.warn(
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"%s doesn't have to be transformed to static function because it has been transformed before, it will be run as-is.",
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func,
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)
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converted_call = func
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except AttributeError:
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# NOTE:
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# If func is not in __globals__, it does not need to be transformed
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# because it has been transformed before.
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converted_call = None
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except OSError:
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# NOTE:
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# If func has been decorated, its source code can not be get
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# so that it can not be transformed to static function.
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converted_call = None
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elif inspect.ismethod(func):
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try:
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converted_call = convert_to_static(func)
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func_self = getattr(func, '__self__', None)
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except OSError:
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# NOTE: func may have been decorated.
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converted_call = None
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elif hasattr(func, '__class__') and callable(func.__class__):
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if hasattr(func, 'forward') and isinstance(func, Layer):
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return StaticLayerWrapper(func)
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else:
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try:
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call_func = func.__class__.__call__
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converted_call = convert_to_static(call_func)
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func_self = func
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except (OSError, TypeError):
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# NOTE:
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# If `func` is a class which is being initialized, for example `convert_call(Foo)()`,
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# it doesn't need to be transformed
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func_self = None if func_self else func_self
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else:
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raise NotImplementedError(
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f"Callable {func} can not be transformed at present."
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)
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if converted_call is None:
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translator_logger.warn(
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"%s doesn't have to be transformed to static function, and it will be run as-is.",
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func,
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)
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return func
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if func_self is not None:
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converted_call = functools.partial(converted_call, func_self)
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return converted_call
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