wehub-resource-sync
73 lines
1.8 KiB
C++
73 lines
1.8 KiB
C++
/* Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#ifdef PADDLE_WITH_CUDA
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#include <cuda.h>
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#include <cuda_runtime.h>
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#endif
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#ifdef PADDLE_WITH_HIP
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#include <hip/hip_runtime.h>
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#endif
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/device_context.h"
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#include "paddle/phi/kernels/funcs/cub.h"
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namespace phi {
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namespace funcs {
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template <typename T>
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struct CUDATypeTraits;
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template <>
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struct CUDATypeTraits<half> {
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typedef phi::float16 TYPE;
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};
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template <>
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struct CUDATypeTraits<float> {
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typedef float TYPE;
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};
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// This functor involves a fusion calculation in Ernie or Bert.
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// The fusion mode is as follows:
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//
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// | |
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// other_op1 other_op2
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// | |
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// |------elementwise_add
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// |
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// layer_norm
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// |
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// other_op3
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// |
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template <typename T>
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class SkipLayerNormFunctor {
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public:
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void operator()(const int num,
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const int hidden,
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const T *input1,
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const T *input2,
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const T *scale,
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const T *bias,
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T *output,
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float eps,
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gpuStream_t stream);
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};
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} // namespace funcs
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} // namespace phi
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