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• Hardware Orin Nano Development Kit
• Network Type Error not related to the network type yet
• TLT Version tlt command not found
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I’m running the bpnet Juypter notebook in Tao_launcher_starter_kit. Things are going fine until I get to the cell that does " Create the tfrecords using the bpnet dataset_convert tool". This is exactly the same error that is in the forum on April 12 2022 but it was closed without a resolution that I can understand.
It said that Morganh solved the problem with "Please trigger the tao docker in dgpu, such as V100, A100, T4, etc. Jetson devices is not expected to trigger tao docker. " The person asking didn’t understand that solution, and I don’t either. I would think that the sequence of actions in the notebook would handle that issue. But of course I will follow whatever instructions I need to to get past this. How does one trigger the tao docker in dgpu in the context of this notebook, if that is also my solution? Thanks in advance.
Here is the printout, the same as in the previous forum entry:
2023-12-04 17:47:44,422 [TAO Toolkit] [INFO] root 160: Registry: [‘nvcr.io’]
2023-12-04 17:47:44,798 [TAO Toolkit] [INFO] nvidia_tao_cli.components.instance_handler.local_instance 360: Running command in container: nvcr.io/nvidia/tao/tao-toolkit:5.0.0-tf1.15.5
2023-12-04 17:47:44,844 [TAO Toolkit] [INFO] nvidia_tao_cli.components.docker_handler.docker_handler 275: Printing tty value True
Docker instantiation failed with error: 500 Server Error: Internal Server Error (“failed to create task for container: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #0: error running hook: exit status 1, stdout: , stderr: Auto-detected mode as ‘csv’
invoking the NVIDIA Container Runtime Hook directly (e.g. specifying the docker --gpus flag) is not supported. Please use the NVIDIA Container Runtime (e.g. specify the --runtime=nvidia flag) instead.: unknown”)
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