c2/lib/models/r3d_model.py [531:551]:
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    model,
    data,
    num_input_channels,
    num_labels,
    label=None,
    is_test=False,
    no_bias=0,
    final_spatial_kernel=7,
    final_temporal_kernel=1,
    model_depth=18,
    mc_level=2,
    spatial_bn_mom=0.9,
):
    assert mc_level >= 2 and mc_level <= 5

    # conv1 + maxpool
    model.ConvNd(
        data,
        'conv1',
        num_input_channels,
        64,
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c2/lib/models/r3d_model.py [746:766]:
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    model,
    data,
    num_input_channels,
    num_labels,
    label=None,
    is_test=False,
    no_bias=0,
    final_spatial_kernel=7,
    final_temporal_kernel=1,
    model_depth=18,
    mc_level=2,
    spatial_bn_mom=0.9,
):
    assert mc_level >= 2 and mc_level <= 5

    # conv1 + maxpool
    model.ConvNd(
        data,
        'conv1',
        num_input_channels,
        64,
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