Files
paddlepaddle--paddle/paddle/phi/kernels/impl/transpose_grad_kernel_impl.h
T
2026-07-13 12:40:42 +08:00

55 lines
1.9 KiB
C++

// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include "paddle/phi/kernels/funcs/math_function.h"
#include "paddle/phi/kernels/transpose_grad_kernel.h"
#include "paddle/phi/kernels/transpose_kernel.h"
namespace phi {
template <typename T, typename Context>
void TransposeGradKernel(const Context& dev_ctx,
const DenseTensor& out_grad,
const std::vector<int>& axis,
DenseTensor* x_grad) {
size_t axis_size = axis.size();
std::vector<int> formatted_axis = axis;
for (size_t i = 0; i < axis_size; i++) {
if (axis[i] < 0) {
formatted_axis[i] = axis[i] + axis_size;
}
}
std::vector<int> reversed_axis(axis);
dev_ctx.template Alloc<T>(x_grad);
for (size_t i = 0; i < axis_size; i++) {
reversed_axis[formatted_axis[i]] = i;
}
TransposeKernel<T, Context>(dev_ctx, out_grad, reversed_axis, x_grad);
}
template <typename T, typename Context>
void TransLayoutGradKernel(const Context& dev_ctx,
const DenseTensor& x UNUSED,
const DenseTensor& out_grad,
const std::vector<int>& axis,
DenseTensor* x_grad) {
TransposeGradKernel<T, Context>(dev_ctx, out_grad, axis, x_grad);
}
} // namespace phi