1 /* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
2
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15 #include "tensorflow/c/experimental/gradients/not_differentiable.h"
16
17 namespace tensorflow {
18 namespace gradients {
Compute(AbstractContext * ctx,absl::Span<AbstractTensorHandle * const> grad_outputs,absl::Span<AbstractTensorHandle * > grad_inputs)19 Status NotDifferentiableGradientFunction::Compute(
20 AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs,
21 absl::Span<AbstractTensorHandle*> grad_inputs) {
22 for (int i = 0; i < grad_inputs.size(); i++) {
23 grad_inputs[i] = nullptr;
24 }
25 return OkStatus();
26 }
27
RegisterNotDifferentiable(GradientRegistry * registry,const string & op)28 Status RegisterNotDifferentiable(GradientRegistry* registry, const string& op) {
29 return registry->Register(op, [](const ForwardOperation& op) {
30 return new NotDifferentiableGradientFunction;
31 });
32 }
33 } // namespace gradients
34 } // namespace tensorflow
35