Args: in_features: The number of input features. num_classes: The number of classes for the final classifier layer (output). pool_type: Global pooling type, pooling disabled if empty string (''). drop_rate: Pre-classifier dropout rate.
(
self,
in_features: int,
num_classes: int,
pool_type: str = 'avg',
drop_rate: float = 0.,
use_conv: bool = False,
input_fmt: str = 'NCHW',
)
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