// 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"

namespace phi {

template <typename T, typename Context>
void ConvGradGradKernel(const Context& dev_ctx,
                        const DenseTensor& input,
                        const DenseTensor& filter,
                        const DenseTensor& out_grad,
                        paddle::optional<const DenseTensor&> input_grad_grad,
                        paddle::optional<const DenseTensor&> filter_grad_grad,
                        const std::vector<int>& strides,
                        const std::vector<int>& paddings,
                        const std::string& paddding_algorithm,
                        int groups,
                        const std::vector<int>& dilations,
                        const std::string& data_format,
                        bool use_addto,
                        int workspace_size_MB,
                        bool exhaustive_search,
                        DenseTensor* input_grad,
                        DenseTensor* filter_grad,
                        DenseTensor* out_grad_grad);

template <typename T, typename Context>
void Conv3DGradGradKernel(const Context& dev_ctx,
                          paddle::optional<const DenseTensor&> input_grad_grad,
                          paddle::optional<const DenseTensor&> filter_grad_grad,
                          const DenseTensor& out_grad,
                          const DenseTensor& input,
                          const DenseTensor& filter,
                          const std::vector<int>& strides,
                          const std::vector<int>& paddings,
                          const std::string& paddding_algorithm,
                          int groups,
                          const std::vector<int>& dilations,
                          const std::string& data_format,
                          bool use_addto,
                          int workspace_size_MB,
                          bool exhaustive_search,
                          DenseTensor* out_grad_grad,
                          DenseTensor* input_grad,
                          DenseTensor* filter_grad);

}  // namespace phi