I’m looking at running Tensorflow’s Tensorboard from shinyproxy, alongside other shiny apps we have configured.
I’m able to run the container with a docker run command:
docker run -p 6006:6006 tensorflow/tensorflow:2.0.0-py3 tensorboard --logdir /opt/tensorflow --host 0.0.0.0 --port 6006
However when trying to run through shinyproxy I get a container unresponsive error, below is the application.yml extract.
- id: tensorflow-tensorboard display-name: Tensorflow Tensorboard description: A tool for providing the visualizations from the Tensorflow workflow docker-cmd: ["tensorboard","--log-dir /opt/tensorflow/","--host 0.0.0.0","--port 6006"] container-image: tensorflow/tensorflow:2.0.0-py3 container-volumes: ["/opt/tensorflow/:/opt/tensorflow/"] container-env: TZ: Pacific/Auckland port: 6006
I’ve tried variations of the cmd/port etc (including using 3838) - is someone able to shed some light on what may be going wrong or your experience of successfully implementing other non-shiny apps in shinyproxy.