{lib}[foss/2022a] DeepLabCut v2.3.6 with CUDA 11.7.0

[jhein32]

No description provided.

[boegel]

I'm a bit confused as to why the easyconfigs test suite isn't tripping over this, but TensorFlow 2.11.0 is the usual dependency in the 2022a generation of easyconfigs, any reason you're not using that?

[jhein32]

I revised it for TF 2.11

[boegel]

Test report by @boegel
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
node3902.accelgor.os - Linux RHEL 8.8, x86_64, AMD EPYC 7413 24-Core Processor (zen3), 1 x NVIDIA NVIDIA A100-SXM4-80GB, 535.104.12, Python 3.6.8
See https://gist.github.com/boegel/80c76a48026731a5f5f9c261057a74c2 for a full test report.

[boegel]

@jhein32 Some dependencies seem to be missing, like cuDNN and OpenCV, which are there for the existing DeepLabCut easyconfig, any reason you excluded those here?

[jhein32]

@jhein32 Some dependencies seem to be missing, like cuDNN and OpenCV, which are there for the existing DeepLabCut easyconfig, any reason you excluded those here?

These are dependencies of packages which I declare as dependencies. So trying to keep the config minimal I do not think they should be there.

[jhein32]

Anyone could have a look for outstanding issues?

[verdurin]

I've set a build going - still waiting for TF...

[verdurin]

Test report by @verdurin
SUCCESS
Build succeeded for 3 out of 3 (1 easyconfigs in total)
easybuild-c7.novalocal - Linux CentOS Linux 7.9.2009, x86_64, Intel Xeon Processor (Skylake, IBRS), Python 3.6.8
See https://gist.github.com/verdurin/c562dbdb69c6ba97b2dd165678c5d123 for a full test report.

[jhein32]

Any love for this?

[akesandgren]

Test report by @akesandgren
SUCCESS
Build succeeded for 9 out of 9 (1 easyconfigs in total)
b-cn1603.hpc2n.umu.se - Linux Ubuntu 22.04, x86_64, AMD EPYC 7313 16-Core Processor, 1 x NVIDIA NVIDIA A100 80GB PCIe, 525.147.05, Python 3.10.12
See https://gist.github.com/akesandgren/940ac2ebaf464e2ceb7da93c5e437543 for a full test report.

[akesandgren]

LGTM

[akesandgren]

Going in, thanks @jhein32!