Can not load pretrained models
DefTruth opened this issue · 3 comments
DefTruth commented
File "/Users/xxx/Library/Python/3.8/lib/python/site-packages/timm/models/efficientnet_blocks.py", line 47, in forward
return x * self.gate(x_se)
File "/Users/xxx/Library/Python/3.8/lib/python/site-packages/torch/nn/modules/module.py", line 947, in __getattr__
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'SqueezeExcite' object has no attribute 'gate'
av-savchenko commented
It seems that the versions of timm (pytorch-image-models) on my server and yours are different… Could you clarify what is exact cell in train_emotions-pytorch.ipynb that does not work? If it is “model = torch.load(PATH)”, please, let me know the version of timm. I used latest repository cloned several months ago, so that it is possible that there are some changes there. In addition, could you verify that the following code works fine for you
model=timm.create_model('tf_efficientnet_b0_ns', pretrained=False)
model=timm.create_model('tf_efficientnet_b0_ns', pretrained=True)
?
… 24 июля 2021 г., в 12:10, Def++ ***@***.***> написал(а):
File "/Users/xxx/Library/Python/3.8/lib/python/site-packages/timm/models/efficientnet_blocks.py", line 47, in forward
return x * self.gate(x_se)
File "/Users/xxx/Library/Python/3.8/lib/python/site-packages/torch/nn/modules/module.py", line 947, in __getattr__
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'SqueezeExcite' object has no attribute 'gate'
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DefTruth commented
Many thanks ~ I have solved this problem when i use timm==0.4.5 and successful reimplement the inference with c++.
Class | Size | From | Awesome | File | Type | State | Usage |
---|---|---|---|---|---|---|---|
EfficientEmotion7 | 15M | face-emo... | 🔥↑ | face::attr | ✅️ | demo & cpp | |
EfficientEmotion8 | 15M | face-emo... | 🔥↑ | face::attr | ✅ | demo & cpp | |
MobileEmotion7 | 13M | face-emo... | 🔥↑ | face::attr | ✅ | demo & cpp | |
ReXNetEmotion7 | 30M | face-emo... | 🔥↑ | face::attr | ✅ | demo & cpp |
av-savchenko commented
Ok, thanks for letting me know and sharing your code!
Closing the issue now