reduce_grad_kernel.h

// 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/common/data_type.h"
#include "paddle/phi/core/dense_tensor.h"
namespace phi {

template <typename T, typename Context>
void ReduceSumGradKernel(const Context& dev_ctx,
                         const DenseTensor& x,
                         const DenseTensor& out_grad,
                         const std::vector<int64_t>& dims,
                         bool keep_dim,
                         bool reduce_all,
                         DataType in_dtype,
                         DataType out_dtype,
                         DenseTensor* x_grad);

template <typename T, typename Context>
void ReduceMeanGradKernel(const Context& dev_ctx,
                          const DenseTensor& x,
                          const DenseTensor& out_grad,
                          const std::vector<int64_t>& dims,
                          bool keep_dim,
                          bool reduce_all,
                          DataType in_dtype,
                          DataType out_dtype,
                          DenseTensor* x_grad);

template <typename T, typename Context>
void ReduceProdGradKernel(const Context& dev_ctx,
                          const DenseTensor& x,
                          const DenseTensor& out,
                          const DenseTensor& out_grad,
                          const std::vector<int64_t>& dims,
                          bool keep_dim,
                          bool reduce_all,
                          DataType in_dtype,
                          DataType out_dtype,
                          DenseTensor* x_grad);

template <typename T, typename Context>
void ReduceMaxGradKernel(const Context& dev_ctx,
                         const DenseTensor& x,
                         const DenseTensor& out,
                         const DenseTensor& out_grad,
                         const std::vector<int64_t>& dims,
                         bool keep_dim,
                         bool reduce_all,
                         DataType in_dtype,
                         DataType out_dtype,
                         DenseTensor* x_grad);

template <typename T, typename Context>
void ReduceMinGradKernel(const Context& dev_ctx,
                         const DenseTensor& x,
                         const DenseTensor& out,
                         const DenseTensor& out_grad,
                         const std::vector<int64_t>& dims,
                         bool keep_dim,
                         bool reduce_all,
                         DataType in_dtype,
                         DataType out_dtype,
                         DenseTensor* x_grad);

}  // namespace phi