Hello even though I am inside the TAO toolkit tensorflow I am still having the issue of decrypting a model with tao

 docker run -it --rm -v /home/models:/workspace/model_dir -p 8888:8888 --runtime=nvidia nvcr.io/nvidia/tao/tao-toolkit:4.0.1-tf1.15.5 /bin/bash

==============================
=== TAO Toolkit TensorFlow ===
==============================

NVIDIA Release 4.0.1-TensorFlow (build )
TAO Toolkit Version 4.0.1

Various files include modifications (c) NVIDIA CORPORATION & AFFILIATES.  All rights reserved.

This container image and its contents are governed by the TAO Toolkit End User License Agreement.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/tao-toolkit-software-license-agreement

NOTE: The SHMEM allocation limit is set to the default of 64MB.  This may be
   insufficient for TAO Toolkit.  NVIDIA recommends the use of the following flags:
   docker run --gpus all --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 ...

root@5a:/workspace# ls
EULA.pdf  NVIDIA_Deep_Learning_Container_License.pdf  README.md  model_dir
root@5a:/workspace# cd model_dir/
root@5a:/workspace/model_dir# ls
gazenet_vdeployable_v1.0
root@5a:/workspace/model_dir# cd gazenet_vdeployable_v1.0/
root@5a:/workspace/model_dir/gazenet_vdeployable_v1.0# ls
model.etlt
root@5a:/workspace/model_dir/gazenet_vdeployable_v1.0#

whenever I run

root@5a:/# tao deploy gazenet gen_trt_engine \  -m /workspace/model_dir/gazenet_deployable_v1.0/model.etlt 
  -k nvidia_tlt 
  --data_type fp16 
  --engine_file /workspace/model_dir/gazenet_deployable_v1.0/gazenet_engine.engine

I get

bash: tao: command not found

I can't understand why this is happening, can anyone help me