wehub-resource-sync
61 lines
2.5 KiB
C++
61 lines
2.5 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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#include "paddle/phi/core/distributed/auto_parallel/dist_meta_tensor.h"
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#include "paddle/phi/core/distributed/type_defs.h"
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namespace phi {
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namespace distributed {
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SpmdInfo LayerNormInferSpmd(const DistMetaTensor& x,
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const DistMetaTensor& scale,
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const DistMetaTensor& bias,
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double epsilon,
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int begin_norm_axis);
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SpmdInfo LayerNormGradInferSpmd(const DistMetaTensor& x,
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const DistMetaTensor& scale,
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const DistMetaTensor& bias,
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const DistMetaTensor& mean,
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const DistMetaTensor& variance,
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const DistMetaTensor out_grad,
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double epsilon = 1e-5,
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int begin_norm_axis = 1);
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SpmdInfo LayerNormInferSpmdReverse(const DistMetaTensor& x,
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const DistMetaTensor& scale,
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const DistMetaTensor& bias,
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const DistMetaTensor& out,
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const DistMetaTensor& mean,
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const DistMetaTensor& variance,
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double epsilon,
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int begin_norm_axis);
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SpmdInfo FastLnInferSpmd(const DistMetaTensor& x,
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const DistMetaTensor& scale,
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const DistMetaTensor& bias,
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double epsilon);
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SpmdInfo FastLnGradInferSpmd(const DistMetaTensor& x,
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const DistMetaTensor& scale,
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const DistMetaTensor& mean,
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const DistMetaTensor& invvar,
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const DistMetaTensor& y_grad,
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double epsilon);
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} // namespace distributed
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} // namespace phi
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