51 lines
1.7 KiB
C++
51 lines
1.7 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#include "paddle/phi/backends/gpu/gpu_decls.h"
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#include "paddle/phi/core/dense_tensor.h"
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namespace phi {
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template <typename T, typename Context>
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void LayerNormKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& scale,
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const optional<DenseTensor>& bias,
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double epsilon,
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int begin_norm_axis,
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DenseTensor* out,
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DenseTensor* mean,
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DenseTensor* variance);
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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template <typename T, typename U>
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class LayerNormDirectCUDAFunctor {
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public:
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void operator()(gpuStream_t stream,
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const T* input,
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std::vector<int64_t> input_shape,
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const U* bias,
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const U* scale,
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T* output,
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U* mean,
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U* variance,
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int begin_norm_axis,
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float eps);
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};
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#endif
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} // namespace phi
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