load a pretrained model pytorch - dict object has no attribute eval
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First, you have stated your model. And torch.load() gives you a dictionary. That dictionary has not an eval function. So you should upload the weights to your model.
import torch
from modelfolder import yourmodel
model = yourmodel()
checkpoint = torch.load('model_best.pth.tar')
try:
checkpoint.eval()
except AttributeError as error:
print error
### 'dict' object has no attribute 'eval'
model.load_state_dict(checkpoint['state_dict'])
### now you can evaluate it
model.eval()
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Author by
nirvair
Updated on September 14, 2022Comments
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nirvair over 1 year
def save_checkpoint(state, is_best, filename='checkpoint.pth.tar'): torch.save(state, filename) if is_best: shutil.copyfile(filename, 'model_best.pth.tar') save_checkpoint({ 'epoch': epoch + 1, 'arch': args.arch, 'state_dict': model.state_dict(), 'best_prec1': best_prec1, 'optimizer': optimizer.state_dict() }, is_best)
I am saving my model like this. How can I load back the model so that I can use it in other places, like cnn visualization?
This is how I am loading the model now:
torch.load('model_best.pth.tar')
But when I do this, I get this error:
AttributeError: 'dict' object has no attribute 'eval'
What am I missing here???
EDIT: I want to use the model that I trained to visualize the filters and grads. I am using this repo to make the vis. I replaced line 179 with
torch.load('model_best.pth.tar')
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Sheldon Wei almost 4 yearsafter this i got a error:'Missing key(s) in state_dict: "fc.weight", "fc.bias". '