wehub-resource-sync
89 lines
2.8 KiB
C++
89 lines
2.8 KiB
C++
// Copyright (c) 2025 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 <ATen/core/Tensor.h>
|
|
#include <c10/core/TensorOptions.h>
|
|
#include <limits>
|
|
#include <optional>
|
|
#include <string_view>
|
|
#include <vector>
|
|
|
|
#include "paddle/phi/api/include/api.h"
|
|
|
|
namespace at::detail {
|
|
|
|
inline int _PD_normalize_transpose_dim(int64_t dim,
|
|
int64_t ndim,
|
|
const char* name) {
|
|
int64_t normalized = dim;
|
|
if (normalized < 0) {
|
|
normalized += ndim;
|
|
}
|
|
|
|
PD_CHECK(normalized >= 0 && normalized < ndim, name, " out of range");
|
|
PD_CHECK(normalized <= static_cast<int64_t>(std::numeric_limits<int>::max()),
|
|
name,
|
|
" out of int range");
|
|
return static_cast<int>(normalized);
|
|
}
|
|
|
|
inline std::vector<int> _PD_make_transpose_perm(int64_t ndim, int d0, int d1) {
|
|
PD_CHECK(ndim <= static_cast<int64_t>(std::numeric_limits<int>::max()),
|
|
"tensor rank out of int range");
|
|
|
|
std::vector<int> perm(static_cast<size_t>(ndim));
|
|
for (int64_t i = 0; i < ndim; ++i) {
|
|
perm[static_cast<size_t>(i)] = static_cast<int>(i);
|
|
}
|
|
std::swap(perm[d0], perm[d1]);
|
|
return perm;
|
|
}
|
|
|
|
} // namespace at::detail
|
|
|
|
namespace at {
|
|
|
|
inline at::Tensor transpose(const at::Tensor& self,
|
|
int64_t dim0,
|
|
int64_t dim1) {
|
|
int64_t ndim = self.dim();
|
|
int d0 = at::detail::_PD_normalize_transpose_dim(dim0, ndim, "dim0");
|
|
int d1 = at::detail::_PD_normalize_transpose_dim(dim1, ndim, "dim1");
|
|
auto perm = at::detail::_PD_make_transpose_perm(ndim, d0, d1);
|
|
|
|
return paddle::experimental::transpose(self._PD_GetInner(), perm);
|
|
}
|
|
|
|
} // namespace at
|
|
|
|
namespace at {
|
|
|
|
inline at::Tensor Tensor::transpose(int64_t dim0, int64_t dim1) const {
|
|
return at::transpose(*this, dim0, dim1);
|
|
}
|
|
|
|
inline at::Tensor& Tensor::transpose_(int64_t dim0, int64_t dim1) const {
|
|
int64_t ndim = this->dim();
|
|
int d0 = at::detail::_PD_normalize_transpose_dim(dim0, ndim, "dim0");
|
|
int d1 = at::detail::_PD_normalize_transpose_dim(dim1, ndim, "dim1");
|
|
auto perm = at::detail::_PD_make_transpose_perm(ndim, d0, d1);
|
|
PaddleTensor& inner = const_cast<PaddleTensor&>(tensor_);
|
|
paddle::experimental::transpose_(inner, perm);
|
|
return const_cast<at::Tensor&>(*this);
|
|
}
|
|
|
|
} // namespace at
|