elementwise_add_op.kps 2.0 KB
Newer Older
1
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
2

3 4 5
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
6

7
    http://www.apache.org/licenses/LICENSE-2.0
8

9 10 11 12 13 14
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. */

15 16
#ifdef PADDLE_WITH_XPU_KP

17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39
// Please do not modify the following code
#if defined(__CUDA_ARCH__)
#undef __CUDA_ARCH__
#endif

#if defined(__CUDACC__)
#undef __CUDACC__
#endif

#if defined(__CUDA__)
#undef __CUDA__
#endif

#if defined(__NVCC__)
#undef __NVCC__
#endif

#include <xpu/runtime.h>                // NOLINT
#include "xpu/kernel/cluster_header.h"  // NOLINT
#include "xpu/kernel/debug.h"           // NOLINT
#include "xpu/kernel/math.h"            // NOLINT

#include "paddle/fluid/operators/elementwise/elementwise_add_op.h"
40 41 42 43
#else
#include "paddle/fluid/operators/elementwise/elementwise_add_op.h"
#include "paddle/phi/kernels/gpu/elementwise.h"
#endif
44 45 46 47

namespace ops = paddle::operators;
namespace plat = paddle::platform;

48
#ifdef PADDLE_WITH_XPU_KP
49
REGISTER_OP_KERNEL(elementwise_add, KP, plat::XPUPlace,
50 51 52 53 54 55 56 57 58 59 60 61
                   ops::ElementwiseAddKernel<plat::XPUDeviceContext, float>);
#else
REGISTER_OP_CUDA_KERNEL(
    grad_add, ops::ElementwiseAddKernel<plat::CUDADeviceContext, float>,
    ops::ElementwiseAddKernel<plat::CUDADeviceContext, double>,
    ops::ElementwiseAddKernel<plat::CUDADeviceContext, int>,
    ops::ElementwiseAddKernel<plat::CUDADeviceContext, int64_t>,
    ops::ElementwiseAddKernel<plat::CUDADeviceContext, plat::float16>,
    ops::ElementwiseAddKernel<plat::CUDADeviceContext, plat::bfloat16>,
    ops::ElementwiseAddKernel<plat::CUDADeviceContext, plat::complex<float>>,
    ops::ElementwiseAddKernel<plat::CUDADeviceContext, plat::complex<double>>);
#endif