// 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/kernels/frobenius_norm_grad_kernel.h"
#include "paddle/phi/kernels/funcs/reduce_functor.h"
#include "paddle/phi/kernels/impl/reduce_grad.h"

namespace phi {

template <typename T, typename Context>
void FrobeniusNormGradKernel(const Context& ctx,
                             const DenseTensor& x,
                             const DenseTensor& out,
                             const DenseTensor& dout,
                             const std::vector<int64_t>& axis,
                             bool keep_dim,
                             bool reduce_all,
                             DenseTensor* dx) {
  reduce_all = recompute_reduce_all(x, axis, reduce_all);
  ReduceGradKernel<Context, T, funcs::FrobeniusNormGradFunctor>(
      ctx, x, out, dout, axis, keep_dim, reduce_all, dx);
}

}  // namespace phi
