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Tyler Titsworth
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Merge branch 'main' into tylertitsworth/run-merge-logs-on-failure
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preset/README.md

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#### Next Steps
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1. For Deep Learning and Inference Optimization containers there will be separate conda environments for each AI framework: `pytorch-cpu`, `pytorch-gpu` and `tensorflow`. Use the command below to activate one environment:
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1. For Deep Learning and Inference Optimization containers there will be separate conda environments for each AI framework: `pytorch-cpu`, `pytorch-gpu`, `tensorflow-cpu` and `tensorflow-gpu`. Use the command below to activate one environment:
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```bash
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conda activate <env-name>
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2. Select a test from the `sample-tests` folder and run it using the following command as an example:
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```bash
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bash sample-tests/onnx/run.sh
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# or if no bash script is found
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python sample-tests/intel_extension_for_tensorflow/test_itex.py
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```
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> [!NOTE]
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> The `sample-tests` folder may differ in each container, and some tests use a bash script.
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### Run using Jupyter Notebook
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This mode launches a jupyterlab notebook server. The command below will start the jupyterlab server which can be accessed from a web browser. Each container includes jupyter kernel to enable conda environment in jupyter notebook. The port for this server is `8888` and is exposed by default when you run the container.

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