# Copyright (c) 2022 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 framework __all__ = ["LazyGuard"] class LazyInitHelper(object): """ A Helper Context to trigger switching mode between dygraph and static mode, and holds the startup program resource. """ def __init__(self): self._state = False self._tracer = None self._in_guard = False def enable(self): """ Switch into lazy mode. NOTE(dev): This is a very low level API and not exposed for user. """ if self._state: return assert framework._non_static_mode( ), "LazyInit.enable() is only available in dygraph mode." self._state = True def disable(self): """ Exit from lazy mode. NOTE(dev): This is a very low level API and not exposed for user. """ if not self._state: return self._state = False def __enter__(self): """ Switch into lazy mode and set _dygraph_tracer_ with None to convert dygraph mode into static mode. """ self.enable() if self._in_guard: return self._tracer = framework._dygraph_tracer_ framework._dygraph_tracer_ = None self._in_guard = True def __exit__(self, *args, **kwargs): """ Exit from lazy mode and recover _dygraph_tracer_. """ self.disable() if not self._in_guard: return assert self._tracer is not None framework._dygraph_tracer_ = self._tracer self._tracer = None self._in_guard = False @property def state(self): return self._state _lazy_init_helper = LazyInitHelper() def lazy_init_helper(): global _lazy_init_helper return _lazy_init_helper class LazyGuard(object): """ LazyGuard is a wrapper interface for nn.Layer, it forwards the construct process of user defined Layer. Meanwhile, it provides necessary API to trigger EagerParamBase Lazy Initialization and get startup Program. """ def __enter__(self): """ Construct instance from class_obj by Lazy Initializing parameters. Examples: .. code-block:: python from paddle import LazyGuard from paddle.nn import Linear with LazyGuard(): fc = LazyInit(Linear)(10, 10) for param in fc.parameters(): param.initialize() """ lazy_init_helper().enable() def __exit__(self, *args, **kwargs): lazy_init_helper().disable()