NVIDIA-AI-IOT / nvidia-tao

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docker container for tao-deploy #5

Closed liviolima80 closed 1 year ago

liviolima80 commented 1 year ago

Good morning, I tried to create a docker container for using tao-deploy, starting from official nvidia container nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04

Next, following the tao-deploy container and setup_env_colab.sh script I installed all the python packages.

When I tried to convert PeopleNet model to TensorRT engine with the following command

detectnet_v2 gen_trt_engine -m /home/ngc_content/ptm_models/peoplenet_vpruned_v2.3/resnet34_peoplenet_pruned.etlt -k $KEY -e $trt_experiment_spec --data_type $data_type --batch_size 1 --max_batch_size 1 --engine_file $trt_out_file_name

following the indications of colab container I got the following error:

Loading uff directly from the package source code Traceback (most recent call last): File "/usr/local/bin/detectnet_v2", line 8, in sys.exit(main()) File "", line 12, in main File "", line 196, in launch_job File "", line 50, in get_modules File "/usr/lib/python3.8/importlib/init.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 1014, in _gcd_import File "", line 991, in _find_and_load File "", line 975, in _find_and_load_unlocked File "", line 671, in _load_unlocked File "", line 843, in exec_module File "", line 219, in _call_with_frames_removed File "</usr/local/lib/python3.8/dist-packages/nvidia_tao_deploy/cv/detectnet_v2/scripts/gen_trt_engine.py>", line 3, in File "", line 19, in File "</usr/local/lib/python3.8/dist-packages/nvidia_tao_deploy/cv/detectnet_v2/engine_builder.py>", line 1, in File "", line 38, in File "</usr/local/lib/python3.8/dist-packages/nvidia_tao_deploy/engine/builder.py>", line 1, in File "", line 28, in ValueError: not enough values to unpack (expected 4, got 3)

Any suggestions?

Regards

ramanathan831 commented 1 year ago

can you post in general Nvidia tao forum, this is not a colab issue https://forums.developer.nvidia.com/c/accelerated-computing/intelligent-video-analytics/tao-toolkit/17