Thank you so much for your prompt reply! 
So let’s say that I would like to use sklearn’s metrics, what would be the best approach to copy my tensor as  a numpy input?
Let’s take the example below where my preds and labels are tensors on the GPU
precision,recall,f1,_ = precision_recall_fscore_support(labels,preds,average='binary')

Would I use .item().numpy() in this case?
Because it seems that .item() only works when you have a single value.