This pull request introduces two new Python files, training.py and testing.py, designed to facilitate the training and testing of our models within a virtual machine (VM) environment. These scripts are essential for ensuring that our AI workloads are reproducible and consistent across different setups.
And finally comprehensive overview of how the new Python files have been tested:
Docker Installation: Installed Docker inside the VM to ensure a consistent and isolated environment for running the scripts.
Script Execution: Ran both training.py and testing.py scripts within the Docker container to verify their functionality.
Local and VM Testing: Both scripts have been tested locally and within a VM to ensure they function as expected.
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Administrative
[ ] Review sample design with the appropriate Domain Expert:
[ ] If you have any new dependencies/binaries, inform the oneAPI Code Samples Project Manager
…ted-Samples>>INC-Sample-for-Tensorflow
Adding a New Sample(s)
Added train.py and test.py python scripts.
Description
This pull request introduces two new Python files, training.py and testing.py, designed to facilitate the training and testing of our models within a virtual machine (VM) environment. These scripts are essential for ensuring that our AI workloads are reproducible and consistent across different setups.
And finally comprehensive overview of how the new Python files have been tested:
Checklist
Administrative
Code Development
Security and Legal
Review