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87 lines
2.9 KiB
87 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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#pragma once
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#include "paddle/framework/tensor.h"
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#include "paddle/platform/place.h"
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namespace paddle {
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namespace operators {
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#define CUDA_1D_KERNEL_LOOP(i, n) \
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for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < (n); \
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i += blockDim.x * gridDim.x)
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template <typename T>
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__global__ void ScatterCUDAKernel(const T* params, const int* indices,
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T* output, size_t index_size,
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size_t slice_size) {
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CUDA_1D_KERNEL_LOOP(i, index_size * slice_size) {
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int indices_i = i / slice_size;
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int slice_i = i - indices_i * slice_size; // offset inside the slice
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int scatter_i = indices[indices_i];
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int out_i = scatter_i * slice_size + slice_i;
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*(output + out_i) = *(params + i);
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}
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}
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// Implementation of GPU copy:
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template <typename T>
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struct GPUScatterAssign {
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void operator()(const T* src, const int* index, const int slice_size,
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const int index_size, T* output) {
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int block = 512;
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int n = slice_size * index_size;
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int grid = (n + block - 1) / block;
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// printf("grid, block: %d %d\n", grid, block);
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ScatterCUDAKernel<T><<<grid, block>>>(src, index, output, index_size,
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slice_size);
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}
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};
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/**
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* A thin wrapper on gpu tensor
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* Return a new updated tensor from source tensor, scatter-assigned according to
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* index
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* input[src]: type-T source Tensor
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* input[index]: type-int index Tensor (1-D)
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* return: output tensor
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*/
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template <typename T>
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void GPUTScatter(const platform::Place& place,
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const paddle::framework::Tensor* src,
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const paddle::framework::Tensor* index,
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paddle::framework::Tensor* output) {
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PADDLE_ENFORCE(platform::is_gpu_place(place));
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// check index of shape 1-D
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PADDLE_ENFORCE(index->dims().size() == 1);
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int index_size = index->dims()[0];
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auto src_dims = src->dims();
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framework::DDim output_dims(src_dims);
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output_dims[0] = index_size;
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// slice size
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int slice_size = 1;
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for (int i = 1; i < src_dims.size(); ++i) slice_size *= src_dims[i];
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// Scatter Assign
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GPUScatterAssign<T> scatter_functor;
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scatter_functor(src->data<T>(), index->data<int>(), slice_size, index_size,
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output->data<T>());
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}
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} // namespace operators
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} // namespace paddle
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