Philipp Bayer

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I'm having a similar issue with hifiasm v0.18.5 and v0.19.0 with a high-coverage read set. It runs out of walltime after 24 hours, never using more than one CPU or...

Thanks for getting back to me! This line is maybe a bit confusing and I was imprecise: `Job Wall-clock time: 1-00:00:01` What it's saying is that it has already run...

I can confirm that it's a SLURM issue for me! `srun hifiasm` will take 24 hours and use only 1 CPU, without `srun` it will take about 90 minutes and...

I have encountered the same issue today with readr 2.1.2 and R 4.3.0. For me it was columns with the popular marker gene '16S' which turns into `16` in a...

I've just run into the same error - in my case on my cluster, a very old gcc was the default (4.8.5). After switching to a more recent gcc (7.2.0)...

Here's how I just did it, would be curious to see if there's anything model-specific I can use to make the training go faster. I ran into a bunch of...

Thanks!!! The freezing is great, it cut my finetuning town down from ~50 hours to ~14 hours which makes sense considering I'm retraining the entire thing :) It also lets...

I'd definitely be interested in that!!

Interestingly, freezing everything but the last layer as above in @JinyuanSun's script doesn't work well with my data: ![image](https://github.com/evo-design/evo/assets/413885/c20c1a43-d802-46a8-affa-cf7a929c1d4e) As you can see, the training loss is identical. Doing it...

Here's a workaround; the Docker image of v2.0.0 is 2 years old so older than panEDTA.sh, I believe? singularity pull EDTA.sif docker://oushujun/edta:2.0.0 You can check whether it's included: singularity run...