// 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.

#include "paddle/phi/kernels/reduce_mean_kernel.h"

#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/cpu/reduce.h"
#include "paddle/phi/kernels/funcs/reduce_functor.h"

namespace phi {

template <typename T, typename Context>
void MeanRawKernel(const Context& dev_ctx,
                   const DenseTensor& x,
                   const std::vector<int64_t>& dims,
                   bool keep_dim,
                   bool reduce_all,
                   DenseTensor* out) {
  auto out_dtype = x.dtype();
  phi::Reduce<CPUContext, T, phi::funcs::MeanFunctor>(
      dev_ctx, x, reduce_all, dims, keep_dim, out_dtype, out);
}

}  // namespace phi

PD_REGISTER_KERNEL(
    mean_raw, CPU, ALL_LAYOUT, phi::MeanRawKernel, float, double, bool) {}
