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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2024 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.
#pragma once
#ifdef PADDLE_WITH_CUDA
#include <cuda.h>
#include <cuda_runtime.h>
#endif
#ifdef PADDLE_WITH_HIP
#include <hip/hip_runtime.h>
#endif
#include "paddle/phi/backends/all_context.h"
#include "paddle/phi/kernels/funcs/cub.h"
namespace phi {
namespace math {
template <typename T>
struct CUDATypeTraits;
template <>
struct CUDATypeTraits<half> {
typedef phi::float16 TYPE;
};
template <>
struct CUDATypeTraits<float> {
typedef float TYPE;
};
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
// This functor involves a fusion calculation in Ernie or Bert.
// The fusion mode is as follows:
//
// | |
// other_op1 other_op2
// | |
// |------elementwise_add
// |
// layer_norm
// |
// other_op3
// |
template <typename T>
class SkipLayerNormFunctor {
public:
void operator()(const int num,
const int hidden,
const T *input1,
const T *input2,
const T *scale,
const T *bias,
T *output,
float eps,
gpuStream_t stream);
};
#endif
} // namespace math
} // namespace phi