68 lines
2.1 KiB
C++
68 lines
2.1 KiB
C++
/* 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/selected_rows/scale_kernel.h"
|
|
|
|
#include "paddle/phi/backends/cpu/cpu_context.h"
|
|
#include "paddle/phi/backends/gpu/gpu_context.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
#include "paddle/phi/kernels/scale_kernel.h"
|
|
namespace phi::sr {
|
|
|
|
template <typename T, typename Context>
|
|
void ScaleKernel(const Context& dev_ctx,
|
|
const SelectedRows& x,
|
|
const Scalar& scale,
|
|
const Scalar& bias,
|
|
bool bias_after_scale,
|
|
SelectedRows* out) {
|
|
if (x.value().Holder() != out->value().Holder() ||
|
|
x.value().data() != out->value().data()) {
|
|
out->set_rows(x.rows());
|
|
out->set_height(x.height());
|
|
}
|
|
phi::ScaleKernel<T>(
|
|
dev_ctx, x.value(), scale, bias, bias_after_scale, out->mutable_value());
|
|
}
|
|
|
|
} // namespace phi::sr
|
|
|
|
PD_REGISTER_KERNEL(scale_sr,
|
|
CPU,
|
|
ALL_LAYOUT,
|
|
phi::sr::ScaleKernel,
|
|
float,
|
|
double,
|
|
phi::bfloat16,
|
|
uint8_t,
|
|
int8_t,
|
|
int16_t,
|
|
int,
|
|
int64_t) {}
|
|
|
|
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
|
|
PD_REGISTER_KERNEL(scale_sr,
|
|
GPU,
|
|
ALL_LAYOUT,
|
|
phi::sr::ScaleKernel,
|
|
float,
|
|
double,
|
|
phi::float16,
|
|
uint8_t,
|
|
int8_t,
|
|
int16_t,
|
|
int,
|
|
int64_t) {}
|
|
#endif
|