Nale Raphael

Hi @msverma101 , Can you provide the version of pytorch you are using? And if possible, a minimal code snippet to reproduce this error would be better.

Hi @swigicat. Since there isn't enough information about the model, dataset, and other configurations in your task, I can just give you some brief suggestions & explanations of this result:...

Yeah, thanks for letting us know about this! We had noticed that `apex` was going to be supported in PyTorch natively since v1.5, but didn't pay too much attention on...

Hey @daniel-j-h, I would like to let you know that I have been busy with other things these weeks, so that the PR would be submitted lately. I've reviewed the...

Hi @ardeal, You can get a suggested learning rate by passing argument `suggest_lr` to `lr_finder.plot()`, it will return an axis of plot and a suggested lr.

*Update_1: fix typo of method name `inputs_labels_from_batch`, `input` should be plural here* *Update_2: missing invocation of `super()` in the subclass of `nn.Module`* Hi @ishandutta0098, You should return only 2 values...

Hi, @ishandutta0098 Sorry for the late response, things are busy here. That's my fault, there were some typos in previous comment, and the error raised in your case 1 indicating...

Hi, @manza-ari Can you provide the settings of your optimizers? It seems likely you are using multiple optimizers, but I need further information to confirm and figure out possible cause...

Thanks for the information! Since the implementation of that repository is a bit complex and is not written like a usual training pipeline, it's not easy to run `LRFinder` without...

Oh, the error message `RuntimeError: Optimizer already has a scheduler attached to it` is raised because `LRFinder` requires to be run before users attach the actual scheduler they want to...