examples/torch/common/models/classification/vgg11_bn_cifar10.py
def vgg11_bn_cifar10(pretrained=False, progress=True, device="cpu", **kwargs):
    """VGG 11-layer model (configuration "A") with batch normalization

    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
        progress (bool): If True, displays a progress bar of the download to stderr
    """
    return _vgg("vgg11_bn", "A", True, pretrained, progress, device, **kwargs)
VGG 11-layer model (configuration "A") with batch normalization

    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
        progress (bool): If True, displays a progress bar of the download to stderr
    
VGG 11-layer model (configuration "A") with batch normalization
VGG 11 - layer model ( configuration " A " ) with batch normalization
def vgg11_bn_cifar10(pretrained=False, progress=True, device="cpu", **kwargs):
    return _vgg("vgg11_bn", "A", True, pretrained, progress, device, **kwargs)
def vgg11_bn_cifar10 ( pretrained = False , progress = True , device = "cpu" , ** kwargs ) : return _vgg ( "vgg11_bn" , "A" , True , pretrained , progress , device , ** kwargs )
VGG 11-layer model (configuration "A") with batch normalization
VGG 11 - layer model ( configuration " A " ) with batch normalization
"""VGG 11-layer model (configuration "A") with batch normalization

    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
        progress (bool): If True, displays a progress bar of the download to stderr
    """
pretrained
If True, returns a model pre-trained on ImageNet
If True returns a model pre - trained on ImageNet
progress
If True, displays a progress bar of the download to stderr
If True displays a progress bar of the download to stderr
device