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79 lines
2.9 KiB
79 lines
2.9 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, int BlockDimX, int BlockDimY, int GridDimX>
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__global__ void CopyMatrixRowsKernel(const T* src, T* dst, const size_t* index,
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int64_t height, int64_t width,
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bool is_src_index) {
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int idx = threadIdx.x;
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int idy = threadIdx.y;
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int id = blockIdx.x + idy * GridDimX;
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while (id < height) {
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int src_idx = is_src_index ? index[id] : id;
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int dst_idx = is_src_index ? id : index[id];
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const T* src_data = src + src_idx * width;
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T* dst_data = dst + dst_idx * width;
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for (int i = idx; i < width; i += BlockDimX) {
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dst_data[i] = src_data[i];
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}
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id += BlockDimY * GridDimX;
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}
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}
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template <typename T>
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class CopyMatrixRowsFunctor<platform::GPUPlace, T> {
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public:
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void operator()(const platform::DeviceContext& context,
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const framework::Tensor& src, const size_t* index,
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framework::Tensor& 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(), 2,
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"The src must be matrix with rank 2.");
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PADDLE_ENFORCE_EQ(dst_dims.size(), 2,
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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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dim3 threads(128, 8);
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dim3 grid(8, 1);
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auto stream =
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reinterpret_cast<const platform::CUDADeviceContext&>(context).stream();
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CopyMatrixRowsKernel<T, 128, 8, 8><<<grid, threads, 0, stream>>>(
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src_data, dst_data, index, height, width, is_src_index);
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}
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};
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template class CopyMatrixRowsFunctor<platform::GPUPlace, float>;
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template class CopyMatrixRowsFunctor<platform::GPUPlace, double>;
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template class LoDTensor2BatchFunctor<platform::GPUPlace, float>;
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template class LoDTensor2BatchFunctor<platform::GPUPlace, double>;
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template class Batch2LoDTensorFunctor<platform::GPUPlace, float>;
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template class Batch2LoDTensorFunctor<platform::GPUPlace, double>;
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} // namespace math
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} // namespace operators
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} // namespace paddle
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