宋全旺

I think you are right.Because padding is for each convolution output only depending on the input before it.for example kernel_size=2,dilation=4,padding should be 4.

I think he mean that when y or y_hat equal 0, use the loss（nonzero_loss） is not reasonable，so he give a comparable big loss 1 .