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82 lines
2.3 KiB
82 lines
2.3 KiB
# Copyright (c) 2019 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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__all__ = ['trace']
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from . import layers
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from .base import program_desc_tracing_guard
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from .layers import Layer
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from paddle.fluid.framework import Program, Block, Variable, _dygraph_tracer, dygraph_only, _dygraph_guard
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def create_program_from_desc(program_desc):
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program = Program()
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program.desc = program_desc
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program.blocks = [Block(program, 0)]
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program._sync_with_cpp()
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return program
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def _extract_vars(inputs, result_list):
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if isinstance(inputs, Variable):
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result_list.append(inputs._ivar)
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if isinstance(inputs, (list, tuple)):
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for var in inputs:
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_extract_vars(var, result_list)
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def extract_vars(inputs):
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result_list = []
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_extract_vars(inputs, result_list)
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return result_list
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@dygraph_only
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def trace(module, inputs, feed_names=None, fetch_names=None):
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assert isinstance(module, Layer)
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if not isinstance(inputs, (list, tuple)):
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inputs = [inputs]
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if feed_names is None:
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feed_names = []
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if fetch_names is None:
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fetch_names = []
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tracer = _dygraph_tracer()._get_program_desc_tracer()
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var_list = extract_vars(inputs)
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tracer.set_feed_vars(var_list, feed_names)
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with program_desc_tracing_guard(True):
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original_outputs = module.__call__(*inputs)
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if not isinstance(original_outputs, (list, tuple)):
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outputs = [original_outputs]
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else:
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outputs = original_outputs
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out_vars = [var._ivar for var in outputs]
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tracer.set_fetch_vars(out_vars, fetch_names)
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tracer.set_name_prefix('t_')
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program_desc = tracer.create_program_desc()
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tracer.reset()
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with _dygraph_guard(None):
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program = create_program_from_desc(program_desc)
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return original_outputs, program
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