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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/label_smooth_grad_kernel.h"
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/eigen/common.h"
namespace phi {
template <typename T, typename Context>
void LabelSmoothGradKernel(const Context& dev_ctx,
const DenseTensor& out_grad,
float epsilon,
DenseTensor* label_grad) {
dev_ctx.template Alloc<T>(label_grad);
auto d_out_dim = out_grad.dims()[out_grad.dims().size() - 1];
if (d_out_dim != 0) {
auto d_out = EigenVector<T>::Flatten(out_grad);
auto d_in = EigenVector<T>::Flatten(*label_grad);
auto& dev = *dev_ctx.eigen_device();
d_in.device(dev) = static_cast<T>(1 - epsilon) * d_out;
}
}
} // namespace phi
PD_REGISTER_KERNEL(label_smooth_grad,
CPU,
ALL_LAYOUT,
phi::LabelSmoothGradKernel,
float,
double) {}