resnext101_32x8d

torchvision.models.resnext101_32x8d(*, weights: Optional[ResNeXt101_32X8D_Weights] = None, progress: bool = True, **kwargs: Any) → ResNet

ResNeXt-101 32x8d model from Aggregated Residual Transformation for Deep Neural Networks.

Parameters:

• weights (ResNeXt101_32X8D_Weights, optional) – The pretrained weights to use. See ResNeXt101_32X8D_Weights below for more details, and possible values. By default, no pre-trained weights are used.

• progress (bool, optional) – If True, displays a progress bar of the download to stderr. Default is True.

• **kwargs – parameters passed to the torchvision.models.resnet.ResNet base class. Please refer to the source code for more details about this class.

class torchvision.models.ResNeXt101_32X8D_Weights(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)