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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/scale_kernel.h"
#include "paddle/phi/backends/xpu/enforce_xpu.h"
#include "paddle/phi/common/amp_type_traits.h"
#include "paddle/phi/core/kernel_registry.h"
namespace phi {
template <typename T, typename Context>
void ScaleKernel(const Context& dev_ctx,
const DenseTensor& x,
const Scalar& scale,
const Scalar& bias,
bool bias_after_scale,
DenseTensor* out) {
dev_ctx.template Alloc<T>(out);
PADDLE_ENFORCE_EQ(
x.dims(),
out->dims(),
common::errors::InvalidArgument("In and out should have the same dim,"
" expected %s, but got %s.",
x.dims().to_str().c_str(),
out->dims().to_str().c_str()));
if (x.numel() == 0 || !x.IsInitialized()) {
return;
}
using XPUType = typename XPUTypeTrait<T>::Type;
using MT = typename phi::dtype::MPTypeTrait<T>::Type;
int r = xpu::scale<XPUType, MT>(dev_ctx.x_context(),
reinterpret_cast<const XPUType*>(x.data<T>()),
reinterpret_cast<XPUType*>(out->data<T>()),
x.numel(),
bias_after_scale,
scale.to<MT>(),
bias.to<MT>());
PADDLE_ENFORCE_XDNN_SUCCESS(r, "scale");
}
} // namespace phi
PD_REGISTER_KERNEL(scale,
XPU,
ALL_LAYOUT,
phi::ScaleKernel,
float,
phi::float16,
phi::bfloat16,
uint8_t,
int8_t,
int16_t,
int,
int64_t) {}