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2026-07-13 12:40:42 +08:00

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// 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 <vector>
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/infermeta/unary.h"
#include "paddle/phi/kernels/empty_kernel.h"
namespace phi {
template <typename T, typename Context>
void TransposeKernel(const Context& dev_ctx,
const DenseTensor& x,
const std::vector<int>& axis,
DenseTensor* out);
template <typename Context>
void TransposeStridedKernel(const Context& dev_ctx,
const DenseTensor& x,
const std::vector<int>& axis,
DenseTensor* out);
template <typename T, typename Context>
void Transpose(const Context& dev_ctx,
const DenseTensor& x,
const std::vector<int>& axis,
DenseTensor* dense_out) {
MetaTensor meta_out(dense_out);
TransposeInferMeta(x, axis, &meta_out);
// do not call TransposeStridedKernel, because some other kernels call
// Transpose directly
if (x.has_allocation() && x.capacity() > 0) {
TransposeKernel<T, Context>(dev_ctx, x, axis, dense_out);
}
}
template <typename T, typename Context>
DenseTensor Transpose(const Context& dev_ctx,
const DenseTensor& x,
const std::vector<int>& axis) {
DenseTensor dense_out;
Transpose<T, Context>(dev_ctx, x, axis, &dense_out);
return dense_out;
}
template <typename T, typename Context>
DenseTensor TransposeLast2Dim(const Context& dev_ctx, const DenseTensor& x) {
size_t rank = x.dims().size();
std::vector<int> axis(rank);
for (size_t i = 0; i < rank; ++i) {
axis[i] = i;
}
std::swap(axis[rank - 1], axis[rank - 2]);
return Transpose<T, Context>(dev_ctx, x, axis);
}
#ifdef _WIN32
#define INSTANTIATE_TRANSPOSE_KERNEL(type, context) \
template PADDLE_API void TransposeKernel<type, context>( \
const context&, \
const DenseTensor&, \
const std::vector<int>&, \
DenseTensor*);
#endif
} // namespace phi