try gtp vit
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@ -597,7 +597,7 @@ class FouriER(torch.nn.Module):
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for idx, block in enumerate(self.network):
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for idx, block in enumerate(self.network):
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try:
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try:
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x = block((x, graph))
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x = block(x, graph)
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except:
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except:
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x = block(x)
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x = block(x)
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# output only the features of last layer for image classification
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# output only the features of last layer for image classification
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@ -758,7 +758,7 @@ def basic_blocks(dim, index, layers,
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use_layer_scale=use_layer_scale,
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use_layer_scale=use_layer_scale,
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layer_scale_init_value=layer_scale_init_value,
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layer_scale_init_value=layer_scale_init_value,
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))
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))
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blocks = SeqModel(*blocks)
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blocks = SeqModel(blocks)
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return blocks
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return blocks
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