anesh-ml

Results 5 issues of anesh-ml

I am not clear with this code in model.py ``` for t in range(max(decode_lengths)): batch_size_t = sum([l > t for l in decode_lengths]) attention_weighted_encoding, alpha = self.attention(encoder_out[:batch_size_t], h[:batch_size_t]) gate =...

I traced back where the nan is coming from the loss function. It leads to `cxcy_to_gcxgcy` function. Division is causing nan value it seems. please provide any solution for this.

Please explain the functinality of the **decimate** function in **utils.py**

Please let me know how to interpret the values of cliffs delta

in the Bert4Rec_dataset script, I see that trg_mask and src_mask outputs are same. Are they supposed to be same or different. It would be helpful if you could confirm it...