Adjust config and namings #42
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henryruhs
commented
Mar 4, 2025
| if attribute_embedding.shape[2:] != temp_tensor.shape[2:]: | ||
| attribute_embedding = nn.functional.interpolate(attribute_embedding, size = temp_tensor.shape[2:], mode = 'bilinear') | ||
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| attribute_embedding = nn.functional.interpolate(attribute_embedding, size = temp_size, mode = 'bilinear') |
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enforce same shape always... could there be something wrong about it?
is this even needed? feels like a hack
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first two layers need this
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