regnet_x_3_2gf¶

torchvision.models.regnet_x_3_2gf(*, weights: Optional[RegNet_X_3_2GF_Weights] = None, progress: bool = True, **kwargs: Any) → RegNet[source]¶

Constructs a RegNetX_3.2GF architecture from Designing Network Design Spaces.

Parameters:

weights (RegNet_X_3_2GF_Weights, optional) – The pretrained weights to use. See RegNet_X_3_2GF_Weights below for more details and possible values. By default, no pretrained weights are used.
progress (bool, optional) – If True, displays a progress bar of the download to stderr. Default is True.
**kwargs – parameters passed to either torchvision.models.regnet.RegNet or torchvision.models.regnet.BlockParams class. Please refer to the source code for more detail about the classes.

class torchvision.models.RegNet_X_3_2GF_Weights(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]¶

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