<gh_stars>1000+
_base_ = ['tsm_r50_1x1x16_50e_kinetics400_rgb.py']

optimizer_config = dict(grad_clip=dict(max_norm=20, norm_type=2))
# learning policy
lr_config = dict(policy='step', step=[40, 80])
total_epochs = 100
work_dir = './work_dirs/tsm_r50_1x1x16_100e_kinetics400_rgb/'

_base_ = ['tsm_r50_1x1x16_50e_kinetics400_rgb.py']

optimizer_config = dict(grad_clip=dict(max_norm=20, norm_type=2))
# learning policy
lr_config = dict(policy='step', step=[40, 80])
total_epochs = 100
work_dir = './work_dirs/tsm_r50_1x1x16_100e_kinetics400_rgb/'
# learning policy