67 lines
2.6 KiB
C++
67 lines
2.6 KiB
C++
/* Copyright 2017 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_COMPILER_XLA_CLIENT_PADDING_H_
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#define TENSORFLOW_COMPILER_XLA_CLIENT_PADDING_H_
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#include <utility>
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#include <vector>
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#include "absl/types/span.h"
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#include "tensorflow/compiler/xla/statusor.h"
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#include "tensorflow/compiler/xla/types.h"
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namespace xla {
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// Describes the padding applied for a windowed operation like
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// convolution, where a window is placed inside a base area.
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enum class Padding {
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// Make the output have the same dimensions as the base area. For
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// example, for a 3x3 base area and a 2x2 window, the output will be
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// 3x3, so that requires padding the 3x3 base area to 4x4.
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kSame,
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// Use no padding. For example, for a 4x4 base area and a 2x2
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// window, the output will be 3x3.
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kValid,
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};
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// Validates that the slices are acceptable for determining padding -- this can
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// be used to check the preconditions of MakePadding below to produce an error
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// message that can be returned to the user.
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Status ValidatePaddingValues(absl::Span<const int64> input_dimensions,
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absl::Span<const int64> window_dimensions,
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absl::Span<const int64> window_strides);
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// Returns the padding needed for the base area, given the base area dimensions,
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// window dimensions, strides, and the type of padding.
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//
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// If v is the returned vector, then for each dimension number i,
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// v[i].first is the padding to the left (i.e. in the direction of
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// lower indices) and v[i].second is the padding to the right (i.e. in
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// the direction of higher indices).
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//
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// Precondition: The number of dimensions (i.e., rank) in input_dimensions,
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// window_dimensions, and strides must match, which is equal to the number
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// of elements in the result vector.
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std::vector<std::pair<int64, int64>> MakePadding(
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absl::Span<const int64> input_dimensions,
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absl::Span<const int64> window_dimensions,
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absl::Span<const int64> window_strides, Padding padding);
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_CLIENT_PADDING_H_
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