Rasa NLU version: 0.12.3-full
Operating system (windows, osx, ...): Linux
Issue:
These are the steps I took,
1: docker pull rasa/rasa_nlu
2: docker run -p 5000:5000 rasa/rasa_nlu:latest-full
This exits straight away with error code 132. I have no other logs as there arent any.
If I revert back to a previous version, for example, 0.11.2-full - this works perfectly fine.
Hi, I have the same issue, do you have some suggestion? Thanks
@waqark3389 @wu-tao , I made a PR to update the images that just got merged. Can you try pulling down latest-full once more?
@wrathagom I have tried the latest image(tag:latest-full) but still get the same error. And for the other image rasa/rasa_nlu:0.12.3-full get the same error. My docker version is 18.06.0-ce-rc2.
@wrathagom - Exactly the same issue, exists with 132.
I have seen that on newer CPU's this isnt a problem and runs fine. My CPU is older than 3 years which may be the reason I cant run it?
However the odd thing is that I can run the python module and the server starts up fine. Just with Docker it doesnt work.
@waqark3389 are you trying to use the tensorflow dockerfile? Can you provide the full text of the error code? Have you tried cleaning all of the docker images and re-pulling?
@wu-tao I pulled latest full and everything is working fine on my end. I am running 18.03, can you provide more info about your operating system etc, and copy/paste the full error message?
@wrathagom I am not trying to use the tensorflow dockerfile, I am saying that the version of tensorflow used is >1.6 and as per https://github.com/tensorflow/tensorflow/releases?after=v1.6.0 - this isnt compatible with older CPU. Quoting from above link "Prebuilt binaries will use AVX instructions. This may break TF on older CPUs."
This is why rasa 12.3-full works for me on new machines but not on older machines without AVX support.
I have tried cleaning all images and containers, even ran on a different machine with same issue.
There isnt an error message when running the container but there is a exit code of 132, which is no help :(
@wrathagom Did you manage to replicate this?
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Most helpful comment
Hi, I have the same issue, do you have some suggestion? Thanks