mmselfsup/configs/benchmarks/classification/_base_/default_runtime.py

26 lines
627 B
Python

train_cfg = {}
test_cfg = {}
optimizer_config = dict() # grad_clip, coalesce, bucket_size_mb
# yapf:disable
log_config = dict(
interval=50,
hooks=[
dict(type='TextLoggerHook'),
# dict(type='TensorboardLoggerHook')
])
# yapf:enable
# runtime settings
dist_params = dict(backend='nccl')
cudnn_benchmark = True
log_level = 'INFO'
load_from = None
resume_from = None
workflow = [('train', 1)]
persistent_workers = True
# disable opencv multithreading to avoid system being overloaded
opencv_num_threads = 0
# set multi-process start method as `fork` to speed up the training
mp_start_method = 'fork'