Tao model action_recognition train error in the notebook

hi,

Pls ref: tao_tutorials/notebooks/tao_launcher_starter_kit/action_recognition_net/actionrecognitionnet.ipynb at main · NVIDIA/tao_tutorials · GitHub

Until this point there is no error. The following command encounters error:
tao model action_recognition train -e /specs/experiment_rgb_3d_finetune.yaml -k nvidia_tao results_dir=/results/rgb_3d_ptm model.rgb_pretrained_model_path=/results/pretrained/actionrecognitionnet_vtrainable_v1.0/resnet18_3d_rgb_hmdb5_32.tlt model.rgb_pretrained_num_classes=5
/usr/lib/python3/dist-packages/paramiko/transport.py:220: CryptographyDeprecationWarning: Blowfish has been deprecated and will be removed in a future release
“class”: algorithms.Blowfish,
2024-02-02 14:54:49,404 [TAO Toolkit] [INFO] root 160: Registry: [‘nvcr.io’]
2024-02-02 14:54:49,502 [TAO Toolkit] [INFO] nvidia_tao_cli.components.instance_handler.local_instance 360: Running command in container: nvcr.io/nvidia/tao/tao-toolkit:5.2.0-pyt2.1.0
2024-02-02 14:54:49,603 [TAO Toolkit] [INFO] nvidia_tao_cli.components.docker_handler.docker_handler 301: Printing tty value True
[2024-02-02 22:54:53,244 - TAO Toolkit - root - ERROR] The indicated experiment spec file /specs/experiment_rgb_3d_finetune.yaml doesn’t exist!
2024-02-02 14:54:53,843 [TAO Toolkit] [INFO] nvidia_tao_cli.components.docker_handler.docker_handler 363: Stopping container.

hardware information, 4x RTX 3070:
nvidia-smi
Fri Feb 2 17:31:28 2024
±--------------------------------------------------------------------------------------+
| NVIDIA-SMI 545.29.06 Driver Version: 545.29.06 CUDA Version: 12.3 |
|-----------------------------------------±---------------------±---------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |

Also specs doesn’t have any experiment_rgb_3d_finetune.yaml
ls -l specs/
total 52
-rw-rw-r-- 1 minasm minasm 550 Jun 15 2022 evaluate_joint.yaml
-rw-rw-r-- 1 minasm minasm 425 Jun 15 2022 evaluate_of.yaml
-rw-rw-r-- 1 minasm minasm 429 Jun 15 2022 evaluate_rgb.yaml
-rw-rw-r-- 1 minasm minasm 425 Jun 15 2022 export_of.yaml
-rw-rw-r-- 1 minasm minasm 429 Jun 15 2022 export_rgb.yaml
-rw-rw-r-- 1 minasm minasm 425 Jun 15 2022 infer_of.yaml
-rw-rw-r-- 1 minasm minasm 429 Jun 15 2022 infer_rgb.yaml
-rw-rw-r-- 1 minasm minasm 1002 Jun 15 2022 train_joint_2d.yaml
-rw-rw-r-- 1 minasm minasm 741 Jun 15 2022 train_of_2d.yaml
-rw-rw-r-- 1 minasm minasm 756 Jun 15 2022 train_of_3d_finetune.yaml
-rw-rw-r-- 1 minasm minasm 787 Jun 15 2022 train_rgb_2d_finetune.yaml
-rw-rw-r-- 1 minasm minasm 782 Jun 15 2022 train_rgb_2d.yaml
-rw-rw-r-- 1 minasm minasm 761 Jun 15 2022 train_rgb_3d_finetune.yaml

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