77# OpenVINO DL Workbench,
88# OpenVINO™ integration with TensorFlow (OVTF)
99
10- OV_VERSION=2021.4.2
10+ OV_VER=2022.1.0
11+ OV_DLW_VER=2022.1.0
1112
1213# Install dependencies and Docker
1314sudo yum -y update &&
@@ -24,8 +25,8 @@ sudo yum install -y python3 &&
2425 sudo yum install -y python3-devel.x86_64 &&
2526 pip install --upgrade pip &&
2627 pip install jupyterlab progress tqdm matplotlib scipy ipykernel virtualenv &&
27- pip install openvino-dev==$OV_VERSION &&
28- pip install openvino-workbench==$OV_VERSION
28+ pip install openvino-dev==$OV_VER &&
29+ pip install openvino-workbench==$OV_DLW_VER
2930
3031# Install this specific version of CV and uninstall to bypass libgl errors.
3132pip install -U opencv-python-headless==4.2.0.32 &&
@@ -43,32 +44,9 @@ pip cache purge
4344# Name the ipython kernel to OpenVINO
4445/usr/bin/python3 -m ipykernel install --user --name OpenVINO
4546
46- # Install OpenVINO™ integration with TensorFlow (OVTF) as IPython Kernel
47-
48- # Create openvino_tensorflow virtual env, which can be added as IPython Kernel
49- /usr/bin/python3 -m virtualenv /home/ec2-user/.ovtf-venv
50-
51- # Activate ovtf-venv virtual env
52- source /home/ec2-user/.ovtf-venv/bin/activate
53-
54- # Setup required versions
55- TF_VER=2.7.0
56- KERAS_VER=2.7.0
57- OVTF_VER=1.1.0
58- TF_ENABLE_ONEDNN_OPTS=1
59-
60- pip install ipykernel
61- pip install tensorflow==$TF_VER keras==$KERAS_VER
62- pip install openvino_tensorflow==$OVTF_VER
63- # Create openvino_tensorflow ipython kernel
64- python3 -m ipykernel install --user --name openvino_tensorflow
65- deactivate
66-
67- # OVTF IPython Kernel install ends.
68-
6947# Setup OpenVINO Workbench
70- # Pull Docker image - openvino/workbench:$OV_VERSION
71- sudo docker pull openvino/workbench:$OV_VERSION
48+ # Pull Docker image - openvino/workbench:$OV_DLW_VER
49+ sudo docker pull openvino/workbench:$OV_DLW_VER
7250
7351# create folder for workbench assets, preserves work done in workbench
7452mkdir -m 777 /home/ec2-user/.workbench
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