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# regnet_x_16gf

torchvision.models.regnet_x_16gf(*, weights: Optional[RegNet_X_16GF_Weights] = None, progress: bool = True, **kwargs: Any) → RegNet

  Constructs a RegNetX_16GF architecture from Designing Network Design Spaces.

  Parameters:

    - weights (`RegNet_X_16GF_Weights`, optional) – The pretrained weights to use. See `RegNet_X_16GF_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_16GF_Weights(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)

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