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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.
#pragma once
#include "paddle/phi/kernels/funcs/math_function.h"
#include "paddle/phi/kernels/funcs/maxouting.h"
#include "paddle/phi/kernels/maxout_grad_kernel.h"
namespace phi {
template <typename T, typename Context>
void MaxOutGradKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& out,
const DenseTensor& out_grad,
int groups,
int axis,
DenseTensor* x_grad) {
if (x_grad && x_grad->numel() == 0) {
dev_ctx.template Alloc<T>(x_grad);
return;
}
if (axis < 0) {
axis += x.dims().size();
}
funcs::SetConstant<Context, T> zero;
if (x_grad) {
dev_ctx.template Alloc<T>(x_grad);
zero(dev_ctx, x_grad, static_cast<T>(0.0));
funcs::MaxOutGradFunctor<Context, T> maxout_backward;
maxout_backward(dev_ctx, x, x_grad, out, out_grad, groups, axis);
}
}
} // namespace phi