Add uv support for sample ci validation #2594
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bopeng1234
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…ironment, including samples: 1.AI-and-Analytics/Features-and-Functionality/IntelPyTorch_TrainingOptimizations_AMX_BF16 2.AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_AMX_BF16_Inference 3.AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_AMX_BF16_Training 4.AI-and-Analytics/Features-and-Functionality/IntelTransformers_Quantization 5.AI-and-Analytics/Getting-Started-Samples/INC-Quantization-Sample-for-PyTorch 6.AI-and-Analytics/Getting-Started-Samples/IntelPython_daal4py_GettingStarted Signed-off-by: Xu, He <[email protected]>
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merged to #2597 |
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Existing Sample Changes
Description
The UV tool is designed to streamline the management of Python environments for multiple test cases. One of its standout features is its ability to operate without altering the existing Python environment, ensuring that the each unit test sample (sample.json) won't affect primary setup (AI Tool did with conda environment). This makes it an ideal solution without the hassle of environment conflicts or dependencies issues, and makes each sample isolation.
add uv tool management for samples:
Type of change
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