In the docstring for DynUNet, res_block is said to be set to True by default, but it is actually set to False in the method definition:
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res_block: whether to use residual connection based convolution blocks during the network. |
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Defaults to ``True``. |
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""" |
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def __init__( |
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self, |
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spatial_dims: int, |
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in_channels: int, |
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out_channels: int, |
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kernel_size: Sequence[Union[Sequence[int], int]], |
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strides: Sequence[Union[Sequence[int], int]], |
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upsample_kernel_size: Sequence[Union[Sequence[int], int]], |
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norm_name: Union[Tuple, str] = ("INSTANCE", {"affine": True}), |
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deep_supervision: bool = False, |
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deep_supr_num: int = 1, |
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res_block: bool = False, |
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): |
