/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/sequence_scale.h" #include "paddle/fluid/platform/cuda_primitives.h" namespace paddle { namespace operators { namespace math { using platform::PADDLE_CUDA_NUM_THREADS; template __global__ void SequenceScaleKernel(T* seq, size_t* lod, const T* scales, const size_t seq_width) { for (int i = threadIdx.x; i < (lod[blockIdx.x + 1] - lod[blockIdx.x]) * seq_width; i += BlockSize) { int idx = lod[blockIdx.x] * seq_width + i; seq[idx] *= scales[blockIdx.x]; } } template class ScaleLoDTensorFunctor { public: void operator()(const platform::CUDADeviceContext& context, const T* scales, framework::LoDTensor* seq) { const size_t level = 0; auto lod = seq->lod(); const size_t num_seq = lod[level].size() - 1; const size_t seq_width = seq->numel() / seq->dims()[0]; framework::LoD abs_offset_lod = framework::ToAbsOffset(lod); T* seq_data = seq->mutable_data(context.GetPlace()); SequenceScaleKernel<<< num_seq, PADDLE_CUDA_NUM_THREADS, 0, context.stream()>>>( seq_data, abs_offset_lod[level].CUDAMutableData(context.GetPlace()), scales, seq_width); } }; template class ScaleLoDTensorFunctor; } // namespace math } // namespace operators } // namespace paddle