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paddlepaddle--paddle/paddle/phi/kernels/cpu/reduce_max_grad_kernel.cc
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2026-07-13 12:40:42 +08:00

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// 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_max_grad_kernel.h"
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/reduce_amax_grad_kernel.h"
namespace phi {
template <typename T, typename Context>
void ReduceMaxGradKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& out,
const DenseTensor& out_grad,
const IntArray& dims,
bool keep_dim,
bool reduce_all,
DenseTensor* x_grad) {
ReduceAMaxGradKernel<T, Context>(
dev_ctx, x, out, out_grad, dims.GetData(), keep_dim, reduce_all, x_grad);
}
} // namespace phi
PD_REGISTER_KERNEL(max_grad,
CPU,
ALL_LAYOUT,
phi::ReduceMaxGradKernel,
float,
double,
int,
int64_t) {}