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