Chris Seymour

The new models in [v0.3.7](https://github.com/nanoporetech/bonito/releases/tag/v0.3.7) do a much better job here - thanks @danrdanny for the dataset, it was really helpful.

@gallardo-seq that looks much better, thanks for reporting. Yes, that is correct, it's not calibrated correctly.

The short read performance in bonito v0.6 is now much improved.

Hi @Saranya-nanobiophotonics-lab this looks like it's stalled with an I/O issue and not specifically a bonito error. Is your data on a local disk or a network drive here?

Sure, here is the last CTC model release: [dna_r9.4.1@v2]( https://nanoporetech.box.com/shared/static/nas0uhf46fd1lh2jndhx2a54a9vvhxp4.zip).

Hi @ugobananas It's not obvious what the issue is here - I do see a control character in the output `^M`, does it hang if you try again?

@ugobananas this issue is fixed on master https://github.com/nanoporetech/bonito/commit/c8417b7d0a7dbaa338983413ba5c6fbcd4163075 - are you able to build and run from source until v0.5.1 is released?

Which GPU are you running on? The `beam_search` decoder requires half-precision but it seems your GPU doesn't support it.

thanks @ugobananas, the GTX1 080 doesn't have the support to run the decoder but the V100 is ideally suited.

Hey @mehdiborji Switching from CPU calling to GPU calling with a V100 is great, you should see much higher calling speeds! Yes, Bonito provides model training and should be on...