Use uv tool for isolate cicd env of each sample from system conda environment, including samples:

  1.AI-and-Analytics/End-to-end-Workloads/JobRecommendationSystem
  2.AI-and-Analytics/Features-and-Functionality/INC_QuantizationAwareTraining_TextClassification
  3.AI-and-Analytics/Getting-Started-Samples/INC-Sample-for-Tensorflow
  4.AI-and-Analytics/Getting-Started-Samples/IntelPython_XGBoost_GettingStarted
  5.AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_SKLearn_GettingStarted
  6.AI-and-Analytics/Getting-Started-Samples/Modin_GettingStarted

Signed-off-by: guotongIntel <guotong.li@intel.com>

Author: GuotongIntel

AI-and-Analytics/End-to-end-Workloads/JobRecommendationSystem/JobRecommendationSystem.ipynb

@@ -904,6 +904,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import numpy as np\n",
     "import intel_extension_for_tensorflow as itex\n",
     "\n",
     "itex.experimental_ops_override()"

AI-and-Analytics/End-to-end-Workloads/JobRecommendationSystem/JobRecommendationSystem.py

@@ -428,6 +428,7 @@ def lemmatize_text(text):
 # Now, let us import Intel Extension for TensorFlow*. We are using Python API `itex.experimental_ops_override()`. It automatically replace some TensorFlow operators by Custom Operators under `itex.ops` namespace, as well as to be compatible with existing trained parameters.
 
 # %%
+import numpy as np
 import intel_extension_for_tensorflow as itex
 
 itex.experimental_ops_override()

AI-and-Analytics/End-to-end-Workloads/JobRecommendationSystem/sample.json

@@ -15,12 +15,16 @@
         "id": "JobRecommendationSystem_py",
         "steps": [
           "source /intel/oneapi/intelpython/bin/activate",
-          "conda env remove -n user_tensorflow-gpu",
-          "conda create --name user_tensorflow-gpu --clone tensorflow-gpu",
-          "conda activate user_tensorflow-gpu",
-          "pip install -r requirements.txt",
-          "python -m ipykernel install --user --name=user_tensorflow-gpu",
-          "python JobRecommendationSystem.py"
+          "conda activate tensorflow-gpu",
+          "pip install uv",
+          "uv init",
+          "uv python pin $(which python)",
+          "uv venv --system-site-packages",
+          "uv add -r requirements.txt",
+          "uv add seaborn",
+          "uv add numpy==1.26.4",
+          "uv run python -m spacy download en_core_web_sm",
+          "uv run python JobRecommendationSystem.py"
         ]
       }
     ]

AI-and-Analytics/Features-and-Functionality/INC_QuantizationAwareTraining_TextClassification/sample.json

@@ -14,11 +14,16 @@
             "env": [
                 "source /intel/oneapi/intelpython/bin/activate", 
                 "conda activate pytorch",
-                "pip install -r requirements.txt"
+                "pip install uv",
+                "uv init",
+                "uv python pin $(which python)",
+                "uv venv --system-site-packages",
+                "uv add -r requirements.txt",
+                "uv add torch==2.5.0 torchvision==0.20.0"
             ],
             "id": "inc_text_classification_quantization_py",
             "steps": [
-              "python INC_QuantizationAwareTraining_TextClassification.py"
+              "uv run INC_QuantizationAwareTraining_TextClassification.py"
              ]
         }
       ]

AI-and-Analytics/Getting-Started-Samples/INC-Sample-for-Tensorflow/sample.json

@@ -13,11 +13,17 @@
 	{
 		"env": ["source /intel/oneapi/intelpython/bin/activate",
 				"conda activate tensorflow",
-				"conda install -n tensorflow -c conda-forge python-flatbuffers -y",
-				"conda install -n tensorflow -c https://software.repos.intel.com/python/conda/ -c conda-forge neural-compressor -y",
-				"conda install -n tensorflow -y",
-				"pip install jupyter ipykernel",
-				"python -m ipykernel install --user --name=tensorflow"
+				"pip install uv",
+				"uv init",
+				"uv python pin $(which python)",
+				"uv venv --system-site-packages",
+				"uv add -r requirements.txt",
+				"uv add flatbuffers",
+				"uv add neural-compressor",
+				"pip install notebook",
+				"uv add --dev ipykernel",
+				"uv run ipython kernel install --user --name tensorflow"
+
         ],
 		"id": "neural-compressor tensorflow",
 		"steps": [

AI-and-Analytics/Getting-Started-Samples/IntelPython_XGBoost_GettingStarted/sample.json

@@ -15,11 +15,15 @@
 			"env": [
 				"source /intel/oneapi/intelpython/bin/activate",
 				"conda activate base",
-				"pip install -r requirements.txt"
+				"pip install uv",
+				"uv init",
+				"uv python pin $(which python)",
+				"uv venv --system-site-packages",
+				"uv add -r requirements.txt"
 			],
 			"id": "IDP_XGBoost_GS_py",
 			"steps": [
-				"python IntelPython_XGBoost_GettingStarted.py"
+				"uv run python IntelPython_XGBoost_GettingStarted.py"
 			]
 		}]
 	},

AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_SKLearn_GettingStarted/sample.json

@@ -15,11 +15,16 @@
 			"env": [
 				"source /intel/oneapi/intelpython/bin/activate",
 				"conda activate base",
-				"pip install -r requirements.txt"
+				"pip install uv",
+				"uv init",
+				"uv python pin $(which python)",
+				"uv venv --system-site-packages",
+				"uv add -r requirements.txt",
+				"uv add numpy==1.26.4"
 			],
 			"id": "idp_sklex_gs_py",
 			"steps": [
-				"python Intel_Extension_For_SKLearn_GettingStarted.py"
+				"uv run python Intel_Extension_For_SKLearn_GettingStarted.py"
 			]
 		}]
 	},

AI-and-Analytics/Getting-Started-Samples/Modin_GettingStarted/sample.json

@@ -10,12 +10,20 @@
   "ciTests": {
   	"linux": [
     {
-  		"env": [],
+  		"env": [
+        "source /intel/oneapi/intelpython/bin/activate",
+        "conda activate modin",
+        "pip install uv",
+        "uv init",
+        "uv python pin $(which python)",
+        "uv venv --system-site-packages",
+        "uv add -r requirements.txt",
+        "pip install notebook",
+        "uv add --dev ipykernel",
+        "uv run ipython kernel install --user --name modin_getting_started"
+      ],
   		"id": "Intel_Modin_GS_py",
   		"steps": [
-			"source /intel/oneapi/intelpython/bin/activate",
-			"pip install -r requirements.txt",
-			"pip install jupyter ipykernel",
 			"jupyter nbconvert --ExecutePreprocessor.enabled=True --to notebook Modin_GettingStarted.ipynb"
   		]
   	}