slowonly_r50-in1k-pre-nl-embedded-gaussian_8xb16-4x16x1-steplr-150e_kinetics400-rgb.py

_base_ = ['slowonly_r50_8xb16-4x16x1-256e_kinetics400-rgb.py']

# model settings
model = dict(
    backbone=dict(
        pretrained='https://download.pytorch.org/models/resnet50-11ad3fa6.pth',
        non_local=((0, 0, 0), (1, 0, 1, 0), (1, 0, 1, 0, 1, 0), (0, 0, 0)),
        non_local_cfg=dict(
            sub_sample=True,
            use_scale=True,
            norm_cfg=dict(type='BN3d', requires_grad=True),
            mode='embedded_gaussian')))

param_scheduler = [
    dict(type='LinearLR', start_factor=0.1, by_epoch=True, begin=0, end=10),
    dict(
        type='MultiStepLR',
        begin=10,
        end=150,
        by_epoch=True,
        milestones=[90, 130],
        gamma=0.1)
]

optim_wrapper = dict(
    optimizer=dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=1e-4))