/* Copyright (c) 2021 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 // CUDA and HIP use same api #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) #include "paddle/pten/core/dense_tensor.h" // See Note [ Why still include the fluid headers? ] #include "paddle/fluid/platform/device_context.h" namespace pten { using CUDAContext = paddle::platform::CUDADeviceContext; template void Sign(const CUDAContext& dev_ctx, const DenseTensor& x, DenseTensor* out); template void Mean(const CUDAContext& dev_ctx, const DenseTensor& x, DenseTensor* out); template void Scale(const CUDAContext& dev_ctx, const DenseTensor& x, float scale, float bias, bool bias_after_scale, DenseTensor* out); template void ScaleHost(const CUDAContext& dev_ctx, const DenseTensor& x, const DenseTensor& scale, float bias, bool bias_after_scale, DenseTensor* out); template void ElementwiseAdd(const CUDAContext& dev_ctx, const DenseTensor& x, const DenseTensor& y, int axis, DenseTensor* out); template void ElementwiseSub(const CUDAContext& dev_ctx, const DenseTensor& x, const DenseTensor& y, int axis, DenseTensor* out); } // namespace pten #endif