Dataset_convert error in tao

Please provide the following information when requesting support.

• Hardware (3080ti)
• Network Type (Detectnet_v2)
• 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.)
There is a error when dataset_convert.

!tao detectnet_v2 dataset_convert \
                  -d $SPECS_DIR/all_train_tfrecords_kitti_trainval.txt \
                  -o $DATA_DOWNLOAD_DIR/tfrecords/kitti_trainval/kitti_trainval

Converting Tfrecords for kitti trainval dataset
2022-09-13 19:23:02,327 [INFO] root: Registry: ['']
2022-09-13 19:23:02,385 [INFO] tlt.components.instance_handler.local_instance: Running command in container:
Traceback (most recent call last):
  File "/home/user/miniconda3/envs/tao/bin/tao", line 8, in <module>
  File "/home/user/miniconda3/envs/tao/lib/python3.7/site-packages/tlt/entrypoint/", line 115, in main
  File "/home/user/miniconda3/envs/tao/lib/python3.7/site-packages/tlt/components/instance_handler/", line 319, in launch_command
  File "/home/user/miniconda3/envs/tao/lib/python3.7/site-packages/tlt/components/docker_handler/", line 290, in run_container
    self.start_container(volumes, env_variables, docker_options)
  File "/home/user/miniconda3/envs/tao/lib/python3.7/site-packages/tlt/components/docker_handler/", line 248, in start_container
    docker_args = self.get_docker_option_args(docker_options)
  File "/home/user/miniconda3/envs/tao/lib/python3.7/site-packages/tlt/components/docker_handler/", line 231, in get_docker_option_args
    "\nPlease choose one of the following: {}".format(key, VALID_DOCKER_ARGS)
AssertionError: The parameter "entrypoint" mentioned in the config file isn't a valid option.
Please choose one of the following: ['user', 'ports', 'shm_size', 'ulimits', 'privileged', 'network']

My all_train_tfrecords_kitti_trainval.txt is

kitti_config {
  root_directory_path: "/workspace/tao-experiments/data/training"
  image_dir_name: "image_2"
  label_dir_name: "label_2"
  image_extension: ".jpg"
  partition_mode: "random"
  num_partitions: 2
  val_split: 20
  num_shards: 10
image_directory_path: "/workspace/tao-experiments/data/training"

Please share your ~/.tao_mounts.json file.

Thank you very much. I have solved this problem by reinstall tao toolkit.

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