/* 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 ElementwiseFMaxGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& out_grad, DenseTensor* x_grad, DenseTensor* y_grad); template void ElementwiseFMinGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& out_grad, DenseTensor* x_grad, DenseTensor* y_grad); template void MaximumGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& dout, DenseTensor* dx, DenseTensor* dy); template void MinimumGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& dout, DenseTensor* dx, DenseTensor* dy); template void HeavisideGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& dout, DenseTensor* dx, DenseTensor* dy); template void ElementwisePowGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& dout, DenseTensor* dx, DenseTensor* dy); } // namespace phi