Avijit Dasgupta
Avijit Dasgupta
Is there any ``polynomial learning rate scheduler`` implemented yet? I can see this issue still open - https://github.com/pytorch/pytorch/issues/2854 cc: @fmassa @datumbox
@biggzlar did you figure it out?
I think I have figured it out. Check the `make_loss` function `per_target_loss = my_ops.mse_ignore_nans(pred_relevant, targets_preprocessed, reduction_indices=0) loss = tf.reduce_sum(per_target_loss)` That means you take mean across samples (as given in equation...
Okay. Thanks a lot for your reply.
Any progress on this?
Any update on this?
So, should we simply delete that `if` block?
Can anyone please post the cleaned version of the solution?
Any progress on this demo?