chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,79 @@
|
||||
/* Copyright (c) 2016 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. */
|
||||
|
||||
#include "paddle/phi/kernels/funcs/sequence2batch.h"
|
||||
|
||||
namespace phi::funcs {
|
||||
|
||||
template <typename T>
|
||||
class CopyMatrixRowsFunctor<CPUContext, T> {
|
||||
public:
|
||||
void operator()(const CPUContext& dev_ctx UNUSED,
|
||||
const DenseTensor& src,
|
||||
Vector<size_t> index_lod,
|
||||
DenseTensor* dst,
|
||||
bool is_src_index) {
|
||||
size_t* index = index_lod.data();
|
||||
const auto& src_dims = vectorize<int>(src.dims());
|
||||
const auto& dst_dims = vectorize<int>(dst->dims());
|
||||
PADDLE_ENFORCE_EQ(src_dims.size(),
|
||||
2UL,
|
||||
common::errors::InvalidArgument(
|
||||
"The source tensor must be a matrix with rank 2, but "
|
||||
"got the source tensor rank is %lu. "
|
||||
"Please check the rank of the source tensor",
|
||||
src_dims.size()));
|
||||
PADDLE_ENFORCE_EQ(
|
||||
dst_dims.size(),
|
||||
2UL,
|
||||
common::errors::InvalidArgument(
|
||||
"The destination tensor must be a matrix with rank 2, "
|
||||
"but got the destination tensor rank is %lu. "
|
||||
"Please check the rank of the destination tensor",
|
||||
dst_dims.size()));
|
||||
PADDLE_ENFORCE_EQ(
|
||||
src_dims[1],
|
||||
dst_dims[1],
|
||||
common::errors::InvalidArgument(
|
||||
"The width of the source tensor and the destination tensor must be "
|
||||
"same. But got %lu != %lu. Please check the rank of the source "
|
||||
"tensor",
|
||||
src_dims.size(),
|
||||
dst_dims.size()));
|
||||
auto height = dst_dims[0];
|
||||
auto width = dst_dims[1];
|
||||
auto* src_data = src.data<T>();
|
||||
auto* dst_data = dst->data<T>();
|
||||
const int sz = width * sizeof(T);
|
||||
if (is_src_index) {
|
||||
for (int i = 0; i < height; ++i) {
|
||||
memcpy(dst_data + i * width, src_data + index[i] * width, sz);
|
||||
}
|
||||
} else {
|
||||
for (int i = 0; i < height; ++i) {
|
||||
memcpy(dst_data + index[i] * width, src_data + i * width, sz);
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
template class CopyMatrixRowsFunctor<CPUContext, float>;
|
||||
template class CopyMatrixRowsFunctor<CPUContext, double>;
|
||||
|
||||
template class DenseTensor2BatchFunctor<CPUContext, float>;
|
||||
template class DenseTensor2BatchFunctor<CPUContext, double>;
|
||||
template class Batch2DenseTensorFunctor<CPUContext, float>;
|
||||
template class Batch2DenseTensorFunctor<CPUContext, double>;
|
||||
|
||||
} // namespace phi::funcs
|
||||
Reference in New Issue
Block a user