Pytorch TypeError - eq() received an invalid combination of arguments

nlp
1

I’m working on a text classification problem with BERT. When training on the local machine everything works just fine, but when switching to the server, I get the following error:

 <ipython-input-28-508d35ac5f5f> in flat_accuracy(preds, labels)
          5     pred_flat = np.argmax(preds, axis=1).flatten()
          6     labels_flat = labels.flatten()
    ----> 7     return np.sum(pred_flat == labels_flat) / len(labels_flat)
          8 
          9 # Function to calculate the f1_score of our predictions vs labels
    
    TypeError: eq() received an invalid combination of arguments - got (numpy.ndarray), but expected one of:
     * (Tensor other)
          didn't match because some of the arguments have invalid types: (numpy.ndarray)
     * (Number other)
          didn't match because some of the arguments have invalid types: (numpy.ndarray)

Code:

 def flat_accuracy(preds, labels):
        pred_flat = np.argmax(preds, axis=1).flatten()
        labels_flat = labels.flatten()
        return np.sum(pred_flat == labels_flat) / len(labels_flat)

Torch version on local machine: 1.4.0

Torch version on the server: 1.3.1

Any help would be greatly appreciated!

2

Hi,

Yes, we used not to support operations between numpy arrays and torch Tensors. This was added in recent versions.