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Use uv tool for isolate cicd env, including samples: #4
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@@ -13,13 +13,20 @@ | |||
"ciTests": { | |||
"linux": [{ | |||
"env": [ | |||
"source /intel/oneapi/intelpython/bin/activate", | |||
"pip install -r requirements.txt" | |||
"source /intel/oneapi/setvars.sh", |
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remove it oneapi thing
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TAB and space align
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Update
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original only install requirements at tensorflow env and run notebook.
in our uv, why we use base? and other like tensorflow and tensorflow-gpu? not sure...
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As this case will use both tensorflow and tensorflow-gpu env, I install the requirements and kernels for base and change to different environment to use the packages and kernels. As a result, there will be less conda env change actions.
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…ironment, including samples: 1.Features-and-Functionality/IntelPython_daal4py_DistributedLinearRegression 2.Features-and-Functionality/IntelPython_Numpy_Numba_dpnp_kNN 3.Features-and-Functionality/IntelPyTorch_GPU_InferenceOptimization_with_AMP 4.Features-and-Functionality/IntelTensorFlow_TextGeneration_with_LSTM 5.Getting-Started-Samples/Intel_Extension_For_TensorFlow_GettingStarted 6.Getting-Started-Samples/Modin_Vs_Pandas Signed-off-by: troy818 <[email protected]>
Use uv tool for isolate cicd env, including 6 samples in
AI-and-Analytics