wehub-resource-sync
77 lines
2.4 KiB
C++
77 lines
2.4 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 <vector>
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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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#include "paddle/phi/infermeta/spmd_rules/utils.h"
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namespace phi {
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namespace distributed {
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SpmdInfo AdamInferSpmdDynamic(
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const DistMetaTensor& param,
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const DistMetaTensor& grad,
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const DistMetaTensor& learning_rate,
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const DistMetaTensor& moment1,
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const DistMetaTensor& moment2,
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const paddle::optional<DistMetaTensor>& moment2_max,
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const DistMetaTensor& beta1_pow,
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const DistMetaTensor& beta2_pow,
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const DistMetaTensor& master_param,
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const DistMetaTensor& skip_update,
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const Scalar& beta1,
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const Scalar& beta2,
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const Scalar& epsilon,
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bool lazy_mode,
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int64_t min_row_size_to_use_multithread,
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bool multi_precision,
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bool use_global_beta_pow,
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bool amsgrad);
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SpmdInfo AdamwInferSpmdDynamic(
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const DistMetaTensor& param,
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const DistMetaTensor& grad,
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const DistMetaTensor& learning_rate,
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const DistMetaTensor& moment1,
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const DistMetaTensor& moment2,
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const paddle::optional<DistMetaTensor>& moment2_max,
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const DistMetaTensor& beta1_pow,
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const DistMetaTensor& beta2_pow,
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const DistMetaTensor& master_param,
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const DistMetaTensor& skip_update,
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const Scalar& beta1,
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const Scalar& beta2,
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const Scalar& epsilon,
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double lr_ratio,
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double coeff,
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bool with_decay,
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bool lazy_mode,
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int64_t min_row_size_to_use_multithread,
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bool multi_precision,
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bool use_global_beta_pow,
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bool amsgrad);
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SpmdInfo SgdInferSpmd(const DistMetaTensor& param,
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const DistMetaTensor& learning_rate,
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const DistMetaTensor& grad,
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const DistMetaTensor& master_param,
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bool multi_precision);
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} // namespace distributed
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} // namespace phi
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