Tao in Google Colab error: /bin/bash: line 1: tao: command not found

Accelerated Computing Intelligent Video Analytics TAO Toolkit
1

Please provide the following information when requesting support.

• Hardware: Google Colab
• Network Type: dfficientdnet.ipynb
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here) NA
• Training spec file: jupyter notebok provided by NVIDIA
• How to reproduce the issue ? Google Colab

When I try to run
“# convert training data to TFRecords
!tao efficientdet_tf1 dataset_convert […]”

The notebook presents the following error:
“/bin/bash: line 1: tao: command not found”

3

Please check if you meet the same error as Google Colab ssd.ipynb no python3.6 - #20 by akash.singh1.

If yes, as mentioned in that topic, Google Colab ssd.ipynb no python3.6 - #24 by Morganh , TAO team is working on the common issue in colab.

4

Thank’s @Morganh,

While you work to fix the issue, is there something we can do? Do these notebooks work anywhere else? AWS for instance?

5

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

Yes, it can work.
You can run in local dgpu machine or cloud(such as AWS).

7

Note: Currently, the colab notebooks can work now on ubuntu22.04.
Please run notebooks in Running TAO Toolkit on Google Colab - NVIDIA Docs

More info can be found in GitHub - NVIDIA-AI-IOT/nvidia-tao.