Installation issues for qiime2-2022.11 on HPC server

[aatmika (Aatmika Barve)]

Hello,

I am having trouble installing qiime2-2022.11 on hpc server.
I made sure that conda is updated and also numpy. I was following the qiime installation instructions for linux. It doesn't show any issues while installing, but after the installation it gives me the following error:

conda activate qiime2-2022.11

QIIME is caching your current deployment for improved performance. This may take a few moments and should only happen once per deployment.

Illegal instruction

qiime --help
QIIME is caching your current deployment for improved performance. This may take a few moments and should only happen once per deployment.
Illegal instruction

I have also tried creating an environment and then trying to install the qiime but it gives the similar error.
It would be really great if I can get some help solving this.

Thank you

[ebolyen (Evan Bolyen)]

Hi @aatmika,

This sounds similar to a few others who are having this issue, which makes me think there's something up.

@ataqdog had I believe the same issue for this version as well.

Installation of 2022.11 fails

Spoke too soon. The problem persists. I see Daniel McDonald encountered a similar problem with the 2022.2 build that was not resolved for that situation. Seems like a compilation quirk on my hardware (standard 2011ish Dell box). qiime --help QIIME is caching your current deployment for improved performance. This may take a few moments and should only happen once per deployment. [1] 3815128 illegal hardware instruction qiime --help I have uninstalled unifrac unifrac-binaries using cond…

I don't really know where to start, so my recommendation would be to run the steps from this post:

Illegal Instruction on on install of qiime2-2022.8

Hey @alexkrohn, Sorry you're running into this, Ubuntu is certainly supported, and a common platform for us. I expect there's something misbehaving between what your processor supports, and what math library is being used (such as openBLAS or MKL, which numpy uses). I guess to get started, could you tell us more about your processor? Ideally we would like to see the info in /proc/cpuinfo, so if you could run this command and upload the result, that would help out: cat /proc/cpuinfo > cpuinfo.…

In particular the linked script will load each plugin in order to figure out what's causing the illegal instruction. You should be able to run it in the broken environment, even if q2cli isn't working.