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paddlepaddle--paddle/paddle/phi/kernels/cpu/hsigmoid_loss_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/hsigmoid_loss_grad_kernel.h"
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/cpu/hsigmoid_loss_grad.h"
namespace phi {
template <typename T, typename Context>
void HSigmoidLossGradKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& w,
const DenseTensor& label,
const optional<DenseTensor>& path,
const optional<DenseTensor>& code,
const optional<DenseTensor>& bias,
const DenseTensor& pre_out,
const DenseTensor& out_grad,
int num_classes,
bool is_sparse,
DenseTensor* x_grad,
DenseTensor* w_grad,
DenseTensor* bias_grad) {
HSigmoidLossGradKernelImpl<T>(dev_ctx,
x,
w,
label,
path,
code,
bias,
pre_out,
out_grad,
num_classes,
is_sparse,
x_grad,
w_grad,
bias_grad);
}
} // namespace phi
PD_REGISTER_KERNEL(hsigmoid_loss_grad,
CPU,
ALL_LAYOUT,
phi::HSigmoidLossGradKernel,
float,
double) {}