wehub-resource-sync
80 lines
2.9 KiB
C++
80 lines
2.9 KiB
C++
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include "paddle/phi/kernels/funcs/sequence2batch.h"
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namespace phi::funcs {
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template <typename T>
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class CopyMatrixRowsFunctor<CPUContext, T> {
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public:
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void operator()(const CPUContext& dev_ctx UNUSED,
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const DenseTensor& src,
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Vector<size_t> index_lod,
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DenseTensor* dst,
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bool is_src_index) {
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size_t* index = index_lod.data();
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const auto& src_dims = vectorize<int>(src.dims());
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const auto& dst_dims = vectorize<int>(dst->dims());
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PADDLE_ENFORCE_EQ(src_dims.size(),
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2UL,
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common::errors::InvalidArgument(
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"The source tensor must be a matrix with rank 2, but "
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"got the source tensor rank is %lu. "
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"Please check the rank of the source tensor",
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src_dims.size()));
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PADDLE_ENFORCE_EQ(
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dst_dims.size(),
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2UL,
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common::errors::InvalidArgument(
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"The destination tensor must be a matrix with rank 2, "
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"but got the destination tensor rank is %lu. "
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"Please check the rank of the destination tensor",
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dst_dims.size()));
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PADDLE_ENFORCE_EQ(
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src_dims[1],
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dst_dims[1],
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common::errors::InvalidArgument(
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"The width of the source tensor and the destination tensor must be "
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"same. But got %lu != %lu. Please check the rank of the source "
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"tensor",
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src_dims.size(),
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dst_dims.size()));
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auto height = dst_dims[0];
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auto width = dst_dims[1];
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auto* src_data = src.data<T>();
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auto* dst_data = dst->data<T>();
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const int sz = width * sizeof(T);
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if (is_src_index) {
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for (int i = 0; i < height; ++i) {
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memcpy(dst_data + i * width, src_data + index[i] * width, sz);
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}
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} else {
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for (int i = 0; i < height; ++i) {
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memcpy(dst_data + index[i] * width, src_data + i * width, sz);
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}
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}
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}
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};
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template class CopyMatrixRowsFunctor<CPUContext, float>;
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template class CopyMatrixRowsFunctor<CPUContext, double>;
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template class DenseTensor2BatchFunctor<CPUContext, float>;
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template class DenseTensor2BatchFunctor<CPUContext, double>;
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template class Batch2DenseTensorFunctor<CPUContext, float>;
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template class Batch2DenseTensorFunctor<CPUContext, double>;
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} // namespace phi::funcs
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