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Fix reshape_classifier_output function to correctly reshape the final output layer #13052

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merged 3 commits into from
May 29, 2024
Merged

Fix reshape_classifier_output function to correctly reshape the final output layer #13052

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0695b27
Fix reshape_classifier_output function to correctly reshape the final…
gokamisama May 29, 2024
a229d57
Merge branch 'master' into fix-reshape-classifier-output
UltralyticsAssistant May 29, 2024
e58a3e4
Update torch_utils.py
glenn-jocher May 29, 2024
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4 changes: 2 additions & 2 deletions utils/torch_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -79,11 +79,11 @@ def reshape_classifier_output(model, n=1000):
elif isinstance(m, nn.Sequential):
types = [type(x) for x in m]
if nn.Linear in types:
i = types.index(nn.Linear) # nn.Linear index
i = len(types) - 1 - types[::-1].index(nn.Linear) # Last nn.Linear index
if m[i].out_features != n:
m[i] = nn.Linear(m[i].in_features, n)
elif nn.Conv2d in types:
i = types.index(nn.Conv2d) # nn.Conv2d index
i = len(types) - 1 - types[::-1].index(nn.Conv2d) # Last nn.Conv2d index
if m[i].out_channels != n:
m[i] = nn.Conv2d(m[i].in_channels, n, m[i].kernel_size, m[i].stride, bias=m[i].bias is not None)

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