// Copyright (c) 2020 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. #pragma once #include #include #include #include #include "lite/core/context.h" #include "lite/core/tensor.h" namespace paddle { namespace lite { namespace cuda { namespace math { template void SequenceUnpadding(T* seq_data, const T* pad_data, const size_t* seq_offsets_data, int seq_num, int pad_seq_len, int step_width, cudaStream_t* stream); template void SequencePadding(T* pad_data, const T* seq_data, const T* pad_value_data, bool is_constant_pad, const size_t* seq_offsets_data, int seq_num, int pad_seq_len, int step_width, cudaStream_t* stream); } // namespace math } // namespace cuda } // namespace lite } // namespace paddle