55 lines
1.9 KiB
C++
55 lines
1.9 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#pragma once
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#include "paddle/phi/kernels/funcs/math_function.h"
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#include "paddle/phi/kernels/transpose_grad_kernel.h"
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#include "paddle/phi/kernels/transpose_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void TransposeGradKernel(const Context& dev_ctx,
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const DenseTensor& out_grad,
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const std::vector<int>& axis,
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DenseTensor* x_grad) {
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size_t axis_size = axis.size();
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std::vector<int> formatted_axis = axis;
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for (size_t i = 0; i < axis_size; i++) {
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if (axis[i] < 0) {
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formatted_axis[i] = axis[i] + axis_size;
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}
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}
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std::vector<int> reversed_axis(axis);
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dev_ctx.template Alloc<T>(x_grad);
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for (size_t i = 0; i < axis_size; i++) {
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reversed_axis[formatted_axis[i]] = i;
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}
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TransposeKernel<T, Context>(dev_ctx, out_grad, reversed_axis, x_grad);
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}
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template <typename T, typename Context>
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void TransLayoutGradKernel(const Context& dev_ctx,
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const DenseTensor& x UNUSED,
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const DenseTensor& out_grad,
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const std::vector<int>& axis,
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DenseTensor* x_grad) {
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TransposeGradKernel<T, Context>(dev_ctx, out_grad, axis, x_grad);
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}
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} // namespace phi
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