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# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
r"""Configuration for sublinear memory optimization.
Args:
thresh_nr_try: number of samples both for searching in linear space
and around current thresh in sublinear memory optimization. Default: 10.
It can also be set through the environmental variable 'MGB_SUBLINEAR_MEMORY_THRESH_NR_TRY'.
genetic_nr_iter: number of iterations to find the best checkpoints in genetic algorithm.
Default: 0.
It can also be set through the environmental variable 'MGB_SUBLINEAR_MEMORY_GENETIC_NR_ITER'.
genetic_pool_size: number of samples for the crossover random selection
during genetic optimization. Default: 20.
It can also be set through the environmental variable 'MGB_SUBLINEAR_MEMORY_GENETIC_POOL_SIZE'.
lb_memory_mb: memory lower bound of bottleneck size in MB for sublinear memory optimization.
It can be used to perform manual tradeoff between memory and speed. Default: 0.
It can also be set through the environmental variable 'MGB_SUBLINEAR_MEMORY_LOWER_BOUND_MB'.
num_worker: number of thread workers to search the optimum checkpoints
in sublinear memory optimization. Default: half of cpu number in the system.
Note: the value must be greater or equal to one.
It can also be set through the environmental variable 'MGB_SUBLINEAR_MEMORY_WORKERS'.
Note that the environmental variable MGB_COMP_GRAPH_OPT must be set to 'enable_sublinear_memory_opt=1'
in order for the above environmental variable to be effective.
"""
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