Hello, thank you for your work, when I run the file I have encountered the following problems：
Adapters.py
Problem1：
try:
running_loss += loss.data[0]
except:
print('unexpected error, could not calculate loss or do a sum.')
During training, it outputs 'unexpected error, could not calculate loss or do a sum.'
So I changed running_loss + = loss.data [0] to running_loss + = loss.item ()
Problem2：
ratingsi=[(list(np.float([j for j in i]))) for i in ratings]
predictionsi=[(list(np.float([j for j in i]))) for i in predictions]
ratings_i=np.vstack(ratings)
predictions_i=np.vstack(predictions)
ratings_i has been assigned twice, I do n’t know what should be correct here，and the following problems occur during runtime
TypeError: can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
I tried modifying ratings_i = np.vstack (ratings) to ratings_i = np.vstack (ratings.cpu ()) but it didn't seem to solve the problem.
Can you help, thank you very much.
Hello, thank you for your work, when I run the file I have encountered the following problems： Adapters.py Problem1： try: running_loss += loss.data[0] except: print('unexpected error, could not calculate loss or do a sum.')
During training, it outputs 'unexpected error, could not calculate loss or do a sum.' So I changed running_loss + = loss.data [0] to running_loss + = loss.item ()
Problem2： ratingsi=[(list(np.float([j for j in i]))) for i in ratings] predictionsi=[(list(np.float([j for j in i]))) for i in predictions] ratings_i=np.vstack(ratings) predictions_i=np.vstack(predictions)
ratings_i has been assigned twice, I do n’t know what should be correct here，and the following problems occur during runtime TypeError: can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first. I tried modifying ratings_i = np.vstack (ratings) to ratings_i = np.vstack (ratings.cpu ()) but it didn't seem to solve the problem. Can you help, thank you very much.