Args: in_features: The number of input features. num_classes: The number of classes for the final classifier layer (output). hidden_size: The hidden size of the MLP (pre-logits FC layer) if not None. pool_type: Global pooling type, pooling di
(
self,
in_features: int,
num_classes: int,
hidden_size: Optional[int] = None,
pool_type: str = 'avg',
drop_rate: float = 0.,
norm_layer: Union[str, Callable] = 'layernorm2d',
act_layer: Union[str, Callable] = 'tanh',
)
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