You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

sublinear_memory_config.py 2.2 kB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546
  1. # -*- coding: utf-8 -*-
  2. # MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
  3. #
  4. # Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
  5. #
  6. # Unless required by applicable law or agreed to in writing,
  7. # software distributed under the License is distributed on an
  8. # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  9. from ..core.device import get_device_count
  10. class SublinearMemConfig:
  11. r"""
  12. Configuration for sublinear memory optimization.
  13. :param thresh_nr_try: number of samples both for searching in linear space
  14. and around current thresh in sublinear memory optimization. Default: 10.
  15. It can also be set through the environmental variable 'MGB_SUBLINEAR_MEMORY_THRESH_NR_TRY'.
  16. :param genetic_nr_iter: number of iterations to find the best checkpoints in genetic algorithm.
  17. Default: 0.
  18. It can also be set through the environmental variable 'MGB_SUBLINEAR_MEMORY_GENETIC_NR_ITER'.
  19. :param genetic_pool_size: number of samples for the crossover random selection
  20. during genetic optimization. Default: 20.
  21. It can also be set through the environmental variable 'MGB_SUBLINEAR_MEMORY_GENETIC_POOL_SIZE'.
  22. :param lb_memory: memory lower bound of bottleneck size in MB for sublinear memory optimization.
  23. It can be used to perform manual tradeoff between memory and speed. Default: 0.
  24. It can also be set through the environmental variable 'MGB_SUBLINEAR_MEMORY_LOWER_BOUND_MB'.
  25. :param num_worker: number of thread workers to search the optimum checkpoints
  26. in sublinear memory optimization. Default: half of cpu number in the system.
  27. It can also be set through the environmental variable 'MGB_SUBLINEAR_MEMORY_WORKERS'.
  28. """
  29. def __init__(
  30. self,
  31. thresh_nr_try: int = 10,
  32. genetic_nr_iter: int = 0,
  33. genetic_pool_size: int = 20,
  34. lb_memory: int = 0,
  35. num_worker: int = get_device_count("cpu") / 2,
  36. ):
  37. self.thresh_nr_try = thresh_nr_try
  38. self.genetic_nr_iter = genetic_nr_iter
  39. self.genetic_pool_size = genetic_pool_size
  40. self.lb_memory = lb_memory
  41. self.num_worker = num_worker

MegEngine 安装包中集成了使用 GPU 运行代码所需的 CUDA 环境,不用区分 CPU 和 GPU 版。 如果想要运行 GPU 程序,请确保机器本身配有 GPU 硬件设备并安装好驱动。 如果你想体验在云端 GPU 算力平台进行深度学习开发的感觉,欢迎访问 MegStudio 平台