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paddlepaddle--paddle/paddle/phi/kernels/layer_norm_kernel.h
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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.
#pragma once
#include "paddle/phi/backends/gpu/gpu_decls.h"
#include "paddle/phi/core/dense_tensor.h"
namespace phi {
template <typename T, typename Context>
void LayerNormKernel(const Context& dev_ctx,
const DenseTensor& x,
const optional<DenseTensor>& scale,
const optional<DenseTensor>& bias,
double epsilon,
int begin_norm_axis,
DenseTensor* out,
DenseTensor* mean,
DenseTensor* variance);
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
template <typename T, typename U>
class LayerNormDirectCUDAFunctor {
public:
void operator()(gpuStream_t stream,
const T* input,
std::vector<int64_t> input_shape,
const U* bias,
const U* scale,
T* output,
U* mean,
U* variance,
int begin_norm_axis,
float eps);
};
#endif
} // namespace phi