Source code for paddle.fluid.dygraph.tracer

# Copyright (c) 2018 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
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from __future__ import print_function

import six

from collections import defaultdict
from paddle.fluid import core
from paddle.fluid import framework

__all__ = ['Tracer']


def release_op(op):
    del framework._dygraph_tracer()._ops[op._trace_id]


[docs]class Tracer(core.Tracer): """ Python wrapper of dygraph tracer """ def __init__(self, block): super(Tracer, self).__init__(block) self._ops = defaultdict() self._vars = defaultdict() self._trace_id = 0 self._train_mode = True def trace_var(self, name, var): self._vars[name] = var def all_parameters(self): return list((item for name, item in six.iteritems(self._vars) if isinstance(item, framework.Parameter))) def _clear_ops(self): self._ops = defaultdict() self._trace_id = 0 def trace_op(self, op, inputs, outputs, stop_gradient=False): # record op's trace id op.iop._trace_id = self._trace_id self.trace(op.iop, inputs, outputs, op.attrs, framework._current_expected_place(), stop_gradient) if not stop_gradient and self._train_mode: self._trace_id += 1 self._ops[op.iop._trace_id] = op # register backward hooks and variables if needed op.iop.register_backward_hooks(release_op) def train_mode(self): self._train_mode = True def eval_mode(self): self._train_mode = False