Please provide the following information when requesting support.
• Hardware (T4/V100/Xavier/Nano/etc)
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc)
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here)
• Training spec file(If have, please share here)
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)
Any idea how to set the $PATH for within the container?
Could you open a new terminal instead to check further?
# tao model classification_tf2 run /bin/bash
Then inside the docker,
#classification_tf2 train
Could you pull the expected docker and retry?
nvcr.io/nvidia/tao/tao-toolkit:5.0.0-tf2.11.0
Refer to https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/containers/tao-toolkit/tags
It works with 2.11.0 thanks
I have also created an updated docker image from that for myself, where I have changed some of the nvidia_tf2_backend code, and for that it gives the same error, any idea?
Could you share what did you change and how to generate the new docker?
I just changed https://github.com/NVIDIA/tao_tensorflow2_backend/blob/26e599687749f7726fb3f796ccafe10520315e2d/nvidia_tao_tf2/experimental/tflite/export_tflite.py to include some more stuff, after which I am trying to generate a new docker with following error
Any idea what this error is?
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
Can you login the docker and modify files , then docker commit to generate a new docker?
