Docker image crashes without AVX instructions

[samhodge]

[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]

Workaround is here:
yaroslavvb/tensorflow-community-wheels#69 (comment)

[samhodge]

doesnt effect the Caffe2 models

[ringdk]

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]

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

[ringdk]

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