Error with Setup about dockerized-tensorflow-gpu HOT 4 OPEN

Hello, looking at the error message, it seems that the problem is on my side. I think I must have been relying on a docker image that I'd built and pushed to my docker hub.

I think I deleted that image accidentally when pushing something for another project. I'll take a look into how I can restore the image and I'll let you know when it's fixed.

from dockerized-tensorflow-gpu.

Okay so I believe that this problem was caused by using a specific tensorflow image. I've now updated the image to tensorflow/tensorflow:1.13.1-gpu-py3. As opposed to latest gpu (which will constantly change).

It seems that they'd removed pip3 from the image, this is required for creating our own local docker image. Since the build fails docker then looks online for the new image. This generates the error message you see. Click here to see the exact change

I think this should fix your issue. Have a go and let me know how you get on.

from dockerized-tensorflow-gpu.

After changing to a specific version of tensorflow gpu, I am getting a different error response:
docker: Error response from daemon: OCI runtime create failed: container_linux.go:344: starting container process caused "process_linux.go:424: container init caused \"process_linux.go:407: running prestart hook 1 caused \\\"error running hook: exit status 1, stdout: , stderr: exec command: [/usr/bin/nvidia-container-cli --load-kmods configure --ldconfig=@/sbin/ldconfig.real --device=all --compute --utility --require=cuda>=10.0 brand=tesla,driver>=384,driver<385 --pid=7302 /var/lib/docker/overlay2/fdfc2a8198c70586e027e1d5c04e48dc8201ed5fe800a8c04f2b021635636a28/merged]\\\\nnvidia-container-cli: requirement error: unsatisfied condition: brand = tesla\\\\n\\\"\"": unknown.

from dockerized-tensorflow-gpu.

this is because NVidia docker has updated and requires CUDA 10. I think we'll need to have a look at downgrading NVidia docker until Tensorflow supports CUDA 10.

from dockerized-tensorflow-gpu.