39 lines
1.9 KiB
C
39 lines
1.9 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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#ifndef TENSORFLOW_PYTHON_EAGER_PYWRAP_GRADIENT_EXCLUSIONS_H_
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#define TENSORFLOW_PYTHON_EAGER_PYWRAP_GRADIENT_EXCLUSIONS_H_
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#include "absl/types/optional.h"
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#include "tensorflow/core/lib/gtl/flatmap.h"
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#include "tensorflow/core/lib/gtl/flatset.h"
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// Lookup whether the Op with the given op_name has unused input indices.
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// Returns absl::nullopt if all inputs are used, set of unused indices
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// otherwise. Empty set indicates that all indices are unused. The latter is
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// necessary because sometimes it may not be possible to enumerate all indices
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// just using OpDef e.g. when there are `list(T)` or `N * T` type inputs.
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absl::optional<tensorflow::gtl::FlatSet<int>> OpGradientUnusedInputIndices(
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const tensorflow::string& op_name);
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// Lookup whether the Op with the given op_name has unused output indices.
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// Returns absl::nullopt if all outputs are used, set of unused indices
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// otherwise. Empty set indicates that all indices are unused. The latter is
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// necessary because sometimes it may not be possible to enumerate all indices
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// just using OpDef e.g. when there are `list(T)` or `N * T` type outputs.
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absl::optional<tensorflow::gtl::FlatSet<int>> OpGradientUnusedOutputIndices(
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const tensorflow::string& op_name);
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#endif // TENSORFLOW_PYTHON_EAGER_PYWRAP_GRADIENT_EXCLUSIONS_H_
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