TheFoundryVisionmongers/nuke-ML-server

Docker image crashes without AVX instructions

samhodge opened this issue · 5 comments

samhodge commented 
[kognat@vxfhost Server]$ sudo docker run --runtime=nvidia -v /home/kognat/dev/nuke-ML-server/Models:/workspace/ml-server/models:ro -it nuke-ml-magic:latest
[sudo] password for kognat: 
root@a1b2b7bf4646:/workspace/ml-server# python
Python 2.7.16 |Anaconda, Inc.| (default, Mar 14 2019, 21:00:58) 
[GCC 7.3.0] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow
2019-05-25 07:49:46.583944: F tensorflow/core/platform/cpu_feature_guard.cc:37] The TensorFlow library was compiled to use AVX instructions, but these aren't available on your machine.
Aborted (core dumped)

Party over dude.

samhodge commented

doesnt effect the Caffe2 models

ringdk commented

Thanks for heads-up! We haven't seen that issue before.

At the moment we're not planning on rebuilding and supporting our own TF libraries. We'll add it to our list of known issues. Thanks again!

samhodge commented

Lack of AVX instructions is a curiosity relevant only to ancient hardware, like mine.

ringdk commented

Lol! It's not as uncommon as you think, we've hit similar issues before with Blink.