48 lines
1.7 KiB
C++
48 lines
1.7 KiB
C++
/* Copyright 2020 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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#include "tensorflow/c/experimental/gradients/array_grad.h"
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#include "tensorflow/c/eager/abstract_context.h"
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namespace tensorflow {
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namespace gradients {
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namespace {
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class IdentityNGradientFunction : public GradientFunction {
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public:
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absl::Status Compute(AbstractContext* ctx,
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absl::Span<AbstractTensorHandle* const> grad_outputs,
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absl::Span<AbstractTensorHandle*> grad_inputs) override {
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for (int i = 0; i < grad_outputs.size(); i++) {
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auto grad_input = grad_outputs[i];
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// TODO(srbs): Should we add a copy contructor to AbstractTensorHandle
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// that takes care of this similar to `Tensor`?
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if (grad_input) {
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grad_input->Ref();
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}
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grad_inputs[i] = grad_input;
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}
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return absl::OkStatus();
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}
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~IdentityNGradientFunction() override {}
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};
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} // namespace
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GradientFunction* IdentityNRegisterer(const ForwardOperation& op) {
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return new IdentityNGradientFunction;
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}
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} // namespace gradients
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} // namespace tensorflow
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