53 lines
2.3 KiB
C++
53 lines
2.3 KiB
C++
/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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==============================================================================*/
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#ifndef TENSORFLOW_CC_FRAMEWORK_GRADIENTS_H_
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#define TENSORFLOW_CC_FRAMEWORK_GRADIENTS_H_
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#include "tensorflow/cc/framework/ops.h"
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#include "tensorflow/cc/framework/scope.h"
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namespace tensorflow {
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/// NOTE: This API is a work in progress and will likely be changing frequently.
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///
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/// Given initial gradients 'grad_inputs' (which represent the symbolic partial
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/// derivatives of some loss function 'L' w.r.t 'outputs'), adds gradient nodes
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/// to the graph associated with 'scope', which compute (and return in
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/// 'grad_outputs') the symbolic partial derivatives of 'L' w.r.t 'inputs'.
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Status AddSymbolicGradients(const Scope& scope,
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const std::vector<Output>& outputs,
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const std::vector<Output>& inputs,
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const std::vector<Output>& grad_inputs,
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std::vector<Output>* grad_outputs);
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// Same as above, but uses 'OnesLike' for all shapes in
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// 'outputs' as grad_inputs.
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Status AddSymbolicGradients(const Scope& scope,
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const std::vector<Output>& outputs,
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const std::vector<Output>& inputs,
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std::vector<Output>* grad_outputs);
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/// Returns a sentinel Output that represents 'no gradient' (i.e. no gradient
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/// flows along some graph edge during backpropagation).
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/// Can be returned in 'grad_outputs' by an invocation of 'AddSymbolicGradients'
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/// (note that gradient flow through an Output can be stopped through the use of
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/// the StopGradient node).
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Output NoGradient();
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} // namespace tensorflow
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#endif // TENSORFLOW_CC_FRAMEWORK_GRADIENTS_H_
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