I’m running the DLI lab: Text Classification using Train Adapt Optimize (TAO) Toolkit. I’m using the hosted environment. When I run the jupyter notebook, it doesn’t download the spec file so I can’t run the tutorial.
!tao text_classification download_specs
When I first use the command it says it can’t find a local container and goes and fetches one, this is the container that it fetches: nvcr.io/nvidia/tao/tao-toolkit-pyt:v3.21.11-py3. It’s this container that is then stored locally and is used throughout the notebook.
When I run the tao text_classification download_specs, the container stops before it has completed, that’s why there is no spec file: 2022-09-22 16:21:07,966 [INFO] tlt.components.docker_handler.docker_handler: Stopping container. All subsequent cells in the notebook don’t complete their execution because the container stops.
Any way to fix this?