// 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 MatmulGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& dout, bool transpose_x, bool transpose_y, DenseTensor* dx, DenseTensor* dy); template void MatmulDoubleGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& dout, const paddle::optional& ddx, const paddle::optional& ddy, bool transpose_x, bool transpose_y, DenseTensor* dx, DenseTensor* dy, DenseTensor* ddout); template void MatmulTripleGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& dout, const paddle::optional& ddx, const paddle::optional& ddy, const paddle::optional& d_dx, const paddle::optional& d_dy, const paddle::optional& d_ddout, bool transpose_x, bool transpose_y, DenseTensor* out_d_x, DenseTensor* out_d_y, DenseTensor* out_d_dout, DenseTensor* out_d_ddx, DenseTensor* out_d_ddy); template void MatmulWithFlattenGradKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& out_grad, int x_num_col_dims, int y_num_col_dims, DenseTensor* x_grad, DenseTensor* y_grad); template void MatmulWithFlattenDoubleGradKernel( const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, const DenseTensor& out_grad, const paddle::optional& x_grad_grad, const paddle::optional& y_grad_grad, int x_num_col_dims, int y_num_col_dims, DenseTensor* x_grad, DenseTensor* y_grad, DenseTensor* out_grad_grad); } // namespace phi