39 lines
1.4 KiB
C++
39 lines
1.4 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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// (TODO) Support 2 kind of parallel:
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// 1. sharding on batch axes (any axis that is not to be softmax normalized) of
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// tensor.
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// 2. sharding on normalized axis of tensor. (naive support by now, efficient
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// support need to change the softmax kernel).
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SpmdInfo SoftmaxInferSpmd(const DistMetaTensor& x, int axis);
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SpmdInfo SoftmaxInferSpmdReverse(const DistMetaTensor& x,
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const DistMetaTensor& out,
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int axis);
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SpmdInfo SoftmaxGradInferSpmd(const DistMetaTensor& out,
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const DistMetaTensor& out_grad,
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int axis);
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} // namespace distributed
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} // namespace phi
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