content: model = dict(
      type='Recognizer3D',
      backbone=dict(
          type='ResNet3dSlowFast',
          pretrained=None,
          resample_rate=4,  # tau
          speed_ratio=4,  # alpha
          channel_ratio=8,  # beta_inv
          slow_pathway=dict(
              type='resnet3d',
              depth=50,
              pretrained=None,
              lateral=True,
              fusion_kernel=7,
              conv1_kernel=(1, 7, 7),
              dilations=(1, 1, 1, 1),
              conv1_stride_t=1,
              pool1_stride_t=1,
              inflate=(0, 0, 1, 1),
              norm_eval=False),
          fast_pathway=dict(
              type='resnet3d',
              depth=50,
              pretrained=None,
              lateral=False,
              base_channels=8,
              conv1_kernel=(5, 7, 7),
              conv1_stride_t=1,
              pool1_stride_t=1,
              norm_eval=False)),
      cls_head=dict(
          type='SlowFastHead',
          in_channels=2304,  # 2048+256
          num_classes=101,
          spatial_type='avg',
          dropout_ratio=0.5))
  test_cfg = dict(average_clips='prob')
  dataset_type = 'VideoDataset'
  img_norm_cfg = dict(
      mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_bgr=False)
  test_pipeline = [
      dict(type='OpenCVInit', num_threads=1),
      dict(
          type='SampleFrames',
          clip_len=32,
          frame_interval=2,
          num_clips=10,
          test_mode=True),
      dict(type='OpenCVDecode'),
      dict(type='Resize', scale=(-1, 256)),
      dict(type='ThreeCrop', crop_size=256),
      dict(type='Flip', flip_ratio=0),
      dict(type='Normalize', **img_norm_cfg),
      dict(type='FormatShape', input_format='NCTHW'),
      dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]),
      dict(type='ToTensor', keys=['imgs'])
  ]
  data = dict(
      videos_per_gpu=2,
      workers_per_gpu=2,
      test=dict(
          type=dataset_type,
          ann_file=None,
          data_prefix=None,
          start_index=0,
          pipeline=test_pipeline))
  