chore: import upstream snapshot with attribution
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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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from typing import TYPE_CHECKING
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from ...base import framework
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if TYPE_CHECKING:
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from types import TracebackType
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__all__ = ["LazyGuard"]
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class LazyInitHelper:
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"""
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A Helper Context to trigger switching mode between dygraph and static graph mode,
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and holds the startup program resource.
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"""
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def __init__(self):
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self._state = False
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self._tracer = None
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self._in_guard = False
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def enable(self):
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"""
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Switch into lazy mode.
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NOTE(dev): This is a very low level API and not exposed for user.
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"""
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if self._state:
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return
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assert framework.in_dygraph_mode(), (
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"LazyInit.enable() is only available in dygraph mode."
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)
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self._state = True
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def disable(self):
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"""
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Exit from lazy mode.
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NOTE(dev): This is a very low level API and not exposed for user.
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"""
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if not self._state:
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return
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self._state = False
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def __enter__(self):
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"""
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Switch into lazy mode and set _dygraph_tracer_ with None to convert
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dygraph mode into static graph mode.
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"""
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self.enable()
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if self._in_guard:
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return
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self._tracer = framework.global_var._dygraph_tracer_
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framework.global_var._dygraph_tracer_ = None
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self._in_guard = True
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def __exit__(self, *args, **kwargs):
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"""
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Exit from lazy mode and recover _dygraph_tracer_.
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"""
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self.disable()
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if not self._in_guard:
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return
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assert self._tracer is not None
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framework.global_var._dygraph_tracer_ = self._tracer
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self._tracer = None
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self._in_guard = False
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@property
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def state(self):
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return self._state
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_lazy_init_helper = LazyInitHelper()
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def lazy_init_helper():
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global _lazy_init_helper
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return _lazy_init_helper
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class LazyGuard:
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"""
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LazyGuard is a wrapper interface for nn.Layer, it forwards the construct
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process of user defined Layer. Meanwhile, it provides necessary API to
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trigger EagerParamBase Lazy Initialization and get startup Program.
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Examples:
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.. code-block:: pycon
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>>> from paddle import LazyGuard
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>>> from paddle.nn import Linear
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>>> with LazyGuard():
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... # w and b are initialized lazily and have no memory.
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... net = Linear(10, 10)
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>>> for param in net.parameters():
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... # Initialize param and allocate memory explicitly.
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... param.initialize()
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"""
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def __enter__(self) -> None:
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"""
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Construct instance from class_obj by Lazy Initializing parameters.
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Examples:
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.. code-block:: pycon
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>>> from paddle import LazyGuard
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>>> from paddle.nn import Linear
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>>> with LazyGuard():
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... fc = LazyInit(Linear)(10, 10)
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>>> for param in fc.parameters():
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... param.initialize()
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"""
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lazy_init_helper().enable()
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def __exit__(
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self,
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exc_type: type[BaseException] | None,
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exc_val: BaseException | None,
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exc_tb: TracebackType | None,
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) -> None:
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lazy_init_helper().disable()
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