Vlado Boza comments

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                                            Vlado Boza

Add an option for automatically handling exceptions

I would really love this feature. So instead of this: ``` unsafe { let mut error_p: *mut i8 = ptr::null_mut(); cpp!([..., mut error_p as "char*"] { try { foo(); }...

Multi GPU train fails

Just noticed that it uses wrong loss. This if hasattr(model, 'seqdist'): from https://github.com/nanoporetech/bonito/blob/07f885ee9a1c0fef66e8177f00615c12128f453d/bonito/cli/train.py#L71 Should be model.module for distributed setting, or decided before dataparallel thingy is in place.

Multi GPU train fails

Yep, 4-5 days seem doable. Also it needs to patch TNC to NTC dimensions (due to dataloaded behaviour). Never mind, I will fix it for myself :)

Multi GPU train fails

Oh, I should install that AMP :)

CPU version should be default compile with MKL

Great, can we have that env var setting in the documentation? Although package feature flag would be even better, env var is enough. Thanks.

Recurrent neural networks

Couple of comments from regular user of RNNs: a) it is very hard to write proper library for neural nets, since the structure you want really varies (do you want...

Sagemaker arbitrarily stops copying checkpoints to S3

Can confirm, this also happens in Tensorboard. This is our simplified script for reproducibility: Sagemaker script: ``` from sagemaker.pytorch.estimator import PyTorch from sagemaker.debugger import TensorBoardOutputConfig TENSORBOARD_S3_PATH = "s3://something/test-tb/" def create_estimator():...