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