How to fix this issue. I had this result after using this indexing but then 
I remove it from the code and I still have the same message ? 

# idxs = (self.y_pred >= 0.7).nonzero()
# self.y_pred = T.set_subtensor(self.y_pred[idxs], 1)
# idxs = (self.y_pred < 0.7).nonzero()
# self.y_pred = T.set_subtensor(self.y_pred[idxs], 0)



 

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