Faster_rcnn create tfrecords error

Accelerated Computing Intelligent Video Analytics TAO Toolkit
1

when I run this:

!mkdir -p $LOCAL_EXPERIMENT_DIR/tfrecords
KITTI trainval
!tlt faster_rcnn dataset_convert --gpu_index $GPU_INDEX -d $SPECS_DIR/frcnn_tfrecords_kitti_trainval.txt
-o $DATA_DOWNLOAD_DIR/tfrecords/kitti_trainval/kitti_trainval

I get this error. I assume I have a cuda capable device:

File “/usr/local/lib/python3.6/dist-packages/pycuda/autoinit.py”, line 5, in
cuda.init()
pycuda._driver.RuntimeError: cuInit failed: no CUDA-capable device is detected
2021-02-19 07:40:08,918 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.

2

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

Can you run following command and paste the result?

$ tlt faster_rcnn run nvidia-smi