mindspore/mindspore/ccsrc/parallel/costmodel_context.h

176 lines
5.5 KiB
C++

/**
* Copyright 2019 Huawei Technologies Co., Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef MINDSPORE_CCSRC_PARALLEL_COSTMODEL_CONTEXT_H_
#define MINDSPORE_CCSRC_PARALLEL_COSTMODEL_CONTEXT_H_
#include <memory>
#include <string>
#include <vector>
#include "utils/log_adapter.h"
namespace mindspore {
namespace parallel {
class CostModelContext {
public:
~CostModelContext() = default;
CostModelContext(const CostModelContext &) = delete;
CostModelContext &operator=(const CostModelContext &) = delete;
void ResetCostModel();
void ResetAlgoParameters();
static std::shared_ptr<CostModelContext> GetInstance();
// DEVICE_MEMORY_CAPACITY
void set_device_memory_capacity(double);
double device_memory_capacity() const { return device_memory_capacity_; }
// COST_MODEL_ALPHA
void set_costmodel_alpha(double);
double costmodel_alpha() const { return costmodel_alpha_; }
// COST_MODEL_BETA
void set_costmodel_beta(double);
double costmodel_beta() const { return costmodel_beta_; }
// COST_MODEL_GAMMA
void set_costmodel_gamma(double);
double costmodel_gamma() const { return costmodel_gamma_; }
// COST_MODEL_SIMPLIFY_CALCULATION
void set_costmodel_simplify_cal(bool);
bool costmodel_simplify_cal() const { return costmodel_simplify_cal_; }
// COST_MODEL_COMMUNI_THRESHOLD
void set_costmodel_communi_threshold(double);
double costmodel_communi_threshold() const { return costmodel_communi_threshold_; }
// COST_MODEL_COMMUNI_CONST
void set_costmodel_communi_const(double);
double costmodel_communi_const() const { return costmodel_communi_const_; }
// COST_MODEL_COMMUNI_BIAS
void set_costmodel_communi_bias(double);
double costmodel_communi_bias() const { return costmodel_communi_bias_; }
void set_multi_subgraphs(bool);
bool is_multi_subgraphs() const { return is_multi_subgraphs_; }
void set_costmodel_allreduce_fusion_algorithm(int32_t);
int32_t costmodel_allreduce_fusion_algorithm() const { return costmodel_allreduce_fusion_algorithm_; }
void set_costmodel_allreduce_fusion_times(int32_t);
int32_t costmodel_allreduce_fusion_times() const { return costmodel_allreduce_fusion_times_; }
void set_costmodel_allreduce_fusion_tail_percent(double);
double costmodel_allreduce_fusion_tail_percent() const { return costmodel_allreduce_fusion_tail_percent_; }
void set_costmodel_allreduce_fusion_tail_time(double);
double costmodel_allreduce_fusion_tail_time() const { return costmodel_allreduce_fusion_tail_time_; }
void set_costmodel_allreduce_fusion_allreduce_inherent_time(double);
double costmodel_allreduce_fusion_allreduce_inherent_time() const {
return costmodel_allreduce_fusion_allreduce_inherent_time_;
}
void set_costmodel_allreduce_fusion_allreduce_bandwidth(double);
double costmodel_allreduce_fusion_allreduce_bandwidth() const {
return costmodel_allreduce_fusion_allreduce_bandwidth_;
}
void set_costmodel_allreduce_fusion_computation_time_parameter(double);
double costmodel_allreduce_fusion_computation_time_parameter() const {
return costmodel_allreduce_fusion_computation_time_parameter_;
}
// TENSOR_SLICE_ALIGNMENT_ENABLE
void set_tensor_slice_alignment_enable(bool);
bool tensor_slice_alignment_enable() const { return tensor_slice_alignment_enable_; }
// TENSOR_SLICE_ALIGNMENT_SIZE
void set_tensor_slice_alignment_size(size_t);
size_t tensor_slice_alignment_size() const { return tensor_slice_alignment_size_; }
// FULLY_USE_DEVICES
void set_fully_use_device(bool);
bool fully_use_device() const { return fully_use_device_; }
// ELEMENTWISE_OP_STRA_FOLLOW
void set_elementwise_stra_follow(bool);
bool elementwise_stra_follow() const { return elementwise_stra_follow_; }
private:
CostModelContext();
static std::shared_ptr<CostModelContext> cm_context_inst_;
// DEVICE_MEMORY_CAPACITY
double device_memory_capacity_;
// COST_MODEL_ALPHA
double costmodel_alpha_;
// COST_MODEL_BETA
double costmodel_beta_;
// COST_MODEL_GAMMA
double costmodel_gamma_;
// COST_MODEL_SIMPLIFY_CALCULATION
bool costmodel_simplify_cal_;
// COST_MODEL_COMMUNI_THRESHOLD
double costmodel_communi_threshold_;
// COST_MODEL_COMMUNI_CONST
double costmodel_communi_const_;
// COST_MODEL_COMMUNI_BIAS
double costmodel_communi_bias_;
bool is_multi_subgraphs_;
int32_t costmodel_allreduce_fusion_algorithm_;
int32_t costmodel_allreduce_fusion_times_;
double costmodel_allreduce_fusion_tail_percent_;
double costmodel_allreduce_fusion_tail_time_;
double costmodel_allreduce_fusion_allreduce_inherent_time_;
double costmodel_allreduce_fusion_allreduce_bandwidth_;
double costmodel_allreduce_fusion_computation_time_parameter_;
// TENSOR_SLICE_ALIGNMENT_ENABLE
bool tensor_slice_alignment_enable_;
// TENSOR_SLICE_ALIGNMENT_SIZE
size_t tensor_slice_alignment_size_;
// FULLY_USE_DEVICES
bool fully_use_device_;
// ELEMENTWISE_OP_STRA_FOLLOW
bool elementwise_stra_follow_;
};
} // namespace parallel
} // namespace mindspore
#endif // MINDSPORE_CCSRC_PARALLEL_COSTMODEL_CONTEXT_H_