@ -385,7 +385,7 @@ class PNASNet5Large(nn.Module):
return x
def pnasnet5large(pretrained='imagenet', num_classes=1000, in_chans=3, **kwargs):
def pnasnet5large(pretrained=False, num_classes=1000, in_chans=3, **kwargs):
r"""PNASNet-5 model architecture from the
`"Progressive Neural Architecture Search"
<https://arxiv.org/abs/1712.00559>`_ paper.