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60 lines
2.1 KiB
60 lines
2.1 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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/operators/math/sequence2batch.h"
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namespace paddle {
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namespace operators {
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namespace math {
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template <typename T>
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class CopyMatrixRowsFunctor<platform::CPUPlace, T> {
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public:
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void operator()(const platform::DeviceContext& context,
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const framework::LoDTensor& src, const size_t* index,
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framework::LoDTensor& dst, bool is_src_index) {
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auto src_dims = src.dims();
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auto dst_dims = dst.dims();
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PADDLE_ENFORCE_EQ(src_dims.size(), 2UL,
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"The src must be matrix with rank 2.");
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PADDLE_ENFORCE_EQ(dst_dims.size(), 2UL,
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"The dst must be matrix with rank 2.");
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PADDLE_ENFORCE_EQ(src_dims[1], dst_dims[1],
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"The width of src and dst must be same.");
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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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for (int i = 0; i < height; ++i) {
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if (is_src_index) {
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memcpy(dst_data + i * width, src_data + index[i] * width,
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width * sizeof(T));
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} else {
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memcpy(dst_data + index[i] * width, src_data + i * width,
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width * sizeof(T));
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}
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}
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}
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};
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template class CopyMatrixRowsFunctor<platform::CPUPlace, float>;
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template class CopyMatrixRowsFunctor<platform::CPUPlace, double>;
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template class Batch2LoDTensorFunctor<platform::CPUPlace, float>;
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template class Batch2LoDTensorFunctor<platform::CPUPlace, double>;
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} // namespace math
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} // namespace operators
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} // namespace paddle
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