pytorchvideo/models/resnet.py [614:638]:
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    stem_conv_stride: Tuple[int] = (1, 2, 2),
    stem_pool: Callable = nn.MaxPool3d,
    stem_pool_kernel_size: Tuple[int] = (1, 3, 3),
    stem_pool_stride: Tuple[int] = (1, 2, 2),
    stem: Callable = create_res_basic_stem,
    # Stage configs.
    stage1_pool: Callable = None,
    stage1_pool_kernel_size: Tuple[int] = (2, 1, 1),
    stage_conv_a_kernel_size: Union[Tuple[int], Tuple[Tuple[int]]] = (
        (1, 1, 1),
        (1, 1, 1),
        (3, 1, 1),
        (3, 1, 1),
    ),
    stage_conv_b_kernel_size: Union[Tuple[int], Tuple[Tuple[int]]] = (
        (1, 3, 3),
        (1, 3, 3),
        (1, 3, 3),
        (1, 3, 3),
    ),
    stage_conv_b_num_groups: Tuple[int] = (1, 1, 1, 1),
    stage_conv_b_dilation: Union[Tuple[int], Tuple[Tuple[int]]] = (
        (1, 1, 1),
        (1, 1, 1),
        (1, 1, 1),
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pytorchvideo/models/resnet.py [853:877]:
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    stem_conv_stride: Tuple[int] = (1, 2, 2),
    stem_pool: Callable = nn.MaxPool3d,
    stem_pool_kernel_size: Tuple[int] = (1, 3, 3),
    stem_pool_stride: Tuple[int] = (1, 2, 2),
    stem: Callable = create_res_basic_stem,
    # Stage configs.
    stage1_pool: Callable = None,
    stage1_pool_kernel_size: Tuple[int] = (2, 1, 1),
    stage_conv_a_kernel_size: Union[Tuple[int], Tuple[Tuple[int]]] = (
        (1, 1, 1),
        (1, 1, 1),
        (3, 1, 1),
        (3, 1, 1),
    ),
    stage_conv_b_kernel_size: Union[Tuple[int], Tuple[Tuple[int]]] = (
        (1, 3, 3),
        (1, 3, 3),
        (1, 3, 3),
        (1, 3, 3),
    ),
    stage_conv_b_num_groups: Tuple[int] = (1, 1, 1, 1),
    stage_conv_b_dilation: Union[Tuple[int], Tuple[Tuple[int]]] = (
        (1, 1, 1),
        (1, 1, 1),
        (1, 1, 1),
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