pytorch-lr-finder

What's Changed

• Explicitly check whether min_grad_idx is None or not before returning in lr_finder.plot() by @NaleRaphael in https://github.com/davidtvs/pytorch-lr-finder/pull/66
• Update CI by @davidtvs in https://github.com/davidtvs/pytorch-lr-finder/pull/92
• Make both torch.amp and apex.amp available as backend for mixed precision training by @NaleRaphael in https://github.com...

Release notes:

• Fix error message in DataLoaderIter.inputs_labels_from_batch()
• Fix flat loss when using a validation dataset (#59, #60)
• Fix issue #57 by determining the batch size from the size of the labels instead of the size of the inputs (#58)
• Add optional argument to LRFinder.plot() for plotting a suggested learning rate (#44). The optional argument is suggest_lr

Release notes:

• Command to install apex changed from pip install torch-lr-finder -v --global-option="amp" to pip install torch-lr-finder -v --global-option="apex"
• Handle apex install for pytorch < 1.0.0
• Remove message checking if the apex.amp module is available (#46)
• Fix learning rate history and learning rate computation in schedulers (#43, #42)
• Refactor of Dataloader i...

Fixed extended iterable unpacking for Python 2.7 as proposed by @NaleRaphael in #27.