Avijit Dasgupta

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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?

So, should we simply delete that `if` block?

Can anyone please post the cleaned version of the solution?