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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/abs_kernel.h"
#include "paddle/phi/backends/xpu/enforce_xpu.h"
#include "paddle/phi/core/kernel_registry.h"
namespace phi {
template <typename T, typename Context>
void AbsKernel(const Context& dev_ctx, const DenseTensor& x, DenseTensor* out) {
dev_ctx.template Alloc<T>(out);
if (out->numel() == 0) {
return;
}
using XPUType = typename XPUTypeTrait<T>::Type;
int r = xpu::abs<XPUType>(dev_ctx.x_context(),
reinterpret_cast<const XPUType*>(x.data<T>()),
reinterpret_cast<XPUType*>(out->data<T>()),
x.numel());
PADDLE_ENFORCE_XDNN_SUCCESS(r, "abs");
}
} // namespace phi
PD_REGISTER_KERNEL(abs,
XPU,
ALL_LAYOUT,
phi::AbsKernel,
float,
phi::float16,
phi::bfloat16,
int8_t,
int32_t,
int64_t) {}