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60 lines
2.1 KiB
60 lines
2.1 KiB
/* 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/fluid/operators/math/sequence_scale.h"
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#include "paddle/fluid/platform/cuda_primitives.h"
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namespace paddle {
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namespace operators {
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namespace math {
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using platform::PADDLE_CUDA_NUM_THREADS;
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template <typename T, int BlockSize>
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__global__ void SequenceScaleKernel(T* seq, size_t* lod, const T* scales,
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const size_t seq_width) {
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for (int i = threadIdx.x;
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i < (lod[blockIdx.x + 1] - lod[blockIdx.x]) * seq_width;
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i += BlockSize) {
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int idx = lod[blockIdx.x] * seq_width + i;
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seq[idx] *= scales[blockIdx.x];
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}
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}
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template <typename T>
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class ScaleLoDTensorFunctor<platform::CUDADeviceContext, T> {
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public:
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void operator()(const platform::CUDADeviceContext& context, const T* scales,
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framework::LoDTensor* seq) {
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const size_t level = 0;
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auto lod = seq->lod();
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const size_t num_seq = lod[level].size() - 1;
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const size_t seq_width = seq->numel() / seq->dims()[0];
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framework::LoD abs_offset_lod = framework::ToAbsOffset(lod);
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T* seq_data = seq->mutable_data<T>(context.GetPlace());
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SequenceScaleKernel<T, PADDLE_CUDA_NUM_THREADS><<<
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num_seq, PADDLE_CUDA_NUM_THREADS, 0, context.stream()>>>(
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seq_data, abs_offset_lod[level].CUDAMutableData(context.GetPlace()),
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scales, seq_width);
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}
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};
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template class ScaleLoDTensorFunctor<platform::CUDADeviceContext, float>;
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template class ScaleLoDTensorFunctor<platform::CUDADeviceContext, double>;
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} // namespace math
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} // namespace operators
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} // namespace paddle
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