The reason is that torch.max() is changed to torch.argmax()
out = model(img)
loss = criterion(out, label)
eval_loss += loss.data.item()*label.size(0)
pred = torch.argmax(out, 1)
num_correct = (pred == label).sum()
Read More:
- Python AttributeError: ‘bool‘ object has no attribute ‘ui‘
- AttributeError: ‘Tensor‘ object has no attribute ‘_numpy‘
- Problem: attributeerror: ‘tensor’ object has no attribute ‘creator’
- python gensim AttributeError: ‘Doc2Vec‘ object has no attribute ‘dv‘
- Keras Model AttributeError：’str‘ object has no attribute ’call‘
- AttributeError:‘AxesSubplot’object has no attribute‘bar_label’
- Attributeerror: object has no attribute
- AttributeError: ‘numpy.ndarray‘ object has no attribute ‘softmax‘
- Attributeerror: ‘STR’ object has no attribute ‘decode’ solution: the pro test is successful.
- Attributeerror: ‘bytes’ object has no attribute’ encode ‘
- AttributeError: ‘WebDriver‘ object has no attribute ‘w3c‘
- AttributeError: ‘dict‘ object has no attribute ‘iteritems‘
- AttributeError: ‘NoneType‘ object has no attribute ‘shape‘
- AttributeError: ‘NoneType‘ object has no attribute ‘append‘
- AttributeError: ‘PipelinedRDD‘ object has no attribute ‘toDF‘
- Attributeerror: ‘dataframe’ object has no attribute ‘IX’ error
- Debug | AttributeError: ‘numpy.int64‘ object has no attribute ‘to_pydatetime‘
- AttributeError: type object ‘Image‘ has no attribute ‘open‘
- AttributeError: ‘Settings’ object has no attribute ‘ROOT_URLCONF’
- AttributeError: ‘_io.TextIOWrapper‘ object has no attribute ‘softspace‘