forked from huawei/mindspore2022
182 lines
5.7 KiB
C++
182 lines
5.7 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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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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*/
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#ifndef MINDSPORE_CCSRC_PARALLEL_COSTMODEL_CONTEXT_H_
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#define MINDSPORE_CCSRC_PARALLEL_COSTMODEL_CONTEXT_H_
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#include <memory>
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#include <string>
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#include <vector>
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#include "utils/log_adapter.h"
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namespace mindspore {
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namespace parallel {
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class CostModelContext {
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public:
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~CostModelContext() = default;
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CostModelContext(const CostModelContext &) = delete;
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CostModelContext &operator=(const CostModelContext &) = delete;
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void ResetCostModel();
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void ResetAlgoParameters();
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static std::shared_ptr<CostModelContext> GetInstance();
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// DEVICE_MEMORY_CAPACITY
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void set_device_memory_capacity(double);
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double device_memory_capacity() const { return device_memory_capacity_; }
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// COST_MODEL_ALPHA
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void set_costmodel_alpha(double);
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double costmodel_alpha() const { return costmodel_alpha_; }
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// COST_MODEL_BETA
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void set_costmodel_beta(double);
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double costmodel_beta() const { return costmodel_beta_; }
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// COST_MODEL_GAMMA
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void set_costmodel_gamma(double);
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double costmodel_gamma() const { return costmodel_gamma_; }
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// COST_MODEL_SIMPLIFY_CALCULATION
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void set_costmodel_simplify_cal(bool);
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bool costmodel_simplify_cal() const { return costmodel_simplify_cal_; }
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// COST_MODEL_COMMUNI_THRESHOLD
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void set_costmodel_communi_threshold(double);
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double costmodel_communi_threshold() const { return costmodel_communi_threshold_; }
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// COST_MODEL_COMMUNI_CONST
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void set_costmodel_communi_const(double);
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double costmodel_communi_const() const { return costmodel_communi_const_; }
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// COST_MODEL_COMMUNI_BIAS
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void set_costmodel_communi_bias(double);
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double costmodel_communi_bias() const { return costmodel_communi_bias_; }
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void set_multi_subgraphs(bool);
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bool is_multi_subgraphs() const { return is_multi_subgraphs_; }
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void set_costmodel_allreduce_fusion_algorithm(int32_t);
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int32_t costmodel_allreduce_fusion_algorithm() const { return costmodel_allreduce_fusion_algorithm_; }
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void set_costmodel_allreduce_fusion_times(int32_t);
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int32_t costmodel_allreduce_fusion_times() const { return costmodel_allreduce_fusion_times_; }
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void set_costmodel_allreduce_fusion_tail_percent(double);
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double costmodel_allreduce_fusion_tail_percent() const { return costmodel_allreduce_fusion_tail_percent_; }
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void set_costmodel_allreduce_fusion_tail_time(double);
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double costmodel_allreduce_fusion_tail_time() const { return costmodel_allreduce_fusion_tail_time_; }
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void set_costmodel_allreduce_fusion_allreduce_inherent_time(double);
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double costmodel_allreduce_fusion_allreduce_inherent_time() const {
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return costmodel_allreduce_fusion_allreduce_inherent_time_;
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}
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void set_costmodel_allreduce_fusion_allreduce_bandwidth(double);
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double costmodel_allreduce_fusion_allreduce_bandwidth() const {
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return costmodel_allreduce_fusion_allreduce_bandwidth_;
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}
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void set_costmodel_allreduce_fusion_computation_time_parameter(double);
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double costmodel_allreduce_fusion_computation_time_parameter() const {
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return costmodel_allreduce_fusion_computation_time_parameter_;
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}
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// TENSOR_SLICE_ALIGNMENT_ENABLE
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void set_tensor_slice_alignment_enable(bool);
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bool tensor_slice_alignment_enable() const { return tensor_slice_alignment_enable_; }
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// TENSOR_SLICE_ALIGNMENT_SIZE
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void set_tensor_slice_alignment_size(size_t);
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size_t tensor_slice_alignment_size() const { return tensor_slice_alignment_size_; }
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// FULLY_USE_DEVICES
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void set_fully_use_device(bool);
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bool fully_use_device() const { return fully_use_device_; }
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// ELEMENTWISE_OP_STRA_FOLLOW
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void set_elementwise_stra_follow(bool);
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bool elementwise_stra_follow() const { return elementwise_stra_follow_; }
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void set_run_phase(int32_t);
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int32_t run_phase() const { return run_phase_; }
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private:
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CostModelContext();
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static std::shared_ptr<CostModelContext> cm_context_inst_;
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// DEVICE_MEMORY_CAPACITY
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double device_memory_capacity_;
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// COST_MODEL_ALPHA
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double costmodel_alpha_;
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// COST_MODEL_BETA
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double costmodel_beta_;
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// COST_MODEL_GAMMA
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double costmodel_gamma_;
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// COST_MODEL_SIMPLIFY_CALCULATION
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bool costmodel_simplify_cal_;
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// COST_MODEL_COMMUNI_THRESHOLD
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double costmodel_communi_threshold_;
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// COST_MODEL_COMMUNI_CONST
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double costmodel_communi_const_;
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// COST_MODEL_COMMUNI_BIAS
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double costmodel_communi_bias_;
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// MULTI_SUBGRAPHS
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bool is_multi_subgraphs_;
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int32_t run_phase_; // 0: 'training', 1: 'inference'
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int32_t costmodel_allreduce_fusion_algorithm_;
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int32_t costmodel_allreduce_fusion_times_;
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double costmodel_allreduce_fusion_tail_percent_;
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double costmodel_allreduce_fusion_tail_time_;
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double costmodel_allreduce_fusion_allreduce_inherent_time_;
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double costmodel_allreduce_fusion_allreduce_bandwidth_;
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double costmodel_allreduce_fusion_computation_time_parameter_;
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// TENSOR_SLICE_ALIGNMENT_ENABLE
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bool tensor_slice_alignment_enable_;
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// TENSOR_SLICE_ALIGNMENT_SIZE
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size_t tensor_slice_alignment_size_;
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// FULLY_USE_DEVICES
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bool fully_use_device_;
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// ELEMENTWISE_OP_STRA_FOLLOW
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bool elementwise_stra_follow_;
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};
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} // namespace parallel
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_PARALLEL_COSTMODEL_CONTEXT_H_
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