/* Copyright (c) 2022 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 "paddle/phi/core/dense_tensor.h" #include "paddle/utils/optional.h" namespace phi { template void AddGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& dout, int axis, DenseTensor* dx, DenseTensor* dy); template void AddDoubleGradKernel(const Context& dev_ctx, const DenseTensor& y, paddle::optional ddx, paddle::optional ddy, const DenseTensor& dout, int axis, DenseTensor* ddout); template void AddTripleGradKernel(const Context& dev_ctx, const DenseTensor& ddx, const DenseTensor& ddy, const DenseTensor& d_ddout, int axis, DenseTensor* d_ddx, DenseTensor* d_ddy); template void SubtractGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& dout, int axis, DenseTensor* dx, DenseTensor* dy); template void SubtractDoubleGradKernel(const Context& dev_ctx, const DenseTensor& y, paddle::optional ddx, paddle::optional ddy, const DenseTensor& dout, int axis, DenseTensor* ddout); template void DivideGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& out, const DenseTensor& dout, int axis, DenseTensor* dx, DenseTensor* dy); template void DivideDoubleGradKernel(const Context& dev_ctx, const DenseTensor& y, const DenseTensor& out, const DenseTensor& dx, paddle::optional ddx, paddle::optional ddy, int axis, DenseTensor* dy, DenseTensor* dout, DenseTensor* ddout); } // namespace phi