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

  IntelTensorFlow_Enabling_Auto_Mixed_Precision_for_TransferLearning
  IntelPython_GPU_dpnp_Genetic_Algorithm
  IntelPython_XGBoost_Performance
  IntelPython_daal4py_DistributedKMeans
  IntelTensorFlow_for_LLMs
  Intel_Extension_For_SKLearn_Performance_SVC_Adult

Author: bopeng1234

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

@@ -9,18 +9,22 @@
   "os":["linux"],
   "targetDevice": ["GPU"],
   "ciTests": {
-  	"linux": [
+    "linux": [
     {
-  		"env": [
+      "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_ga_dpnp_py",
-  		"steps": [
-         "python IntelPython_GPU_dpnp_Genetic_Algorithm.py" 
-  		 ]
-  	}
+      "id": "idp_ga_dpnp_py",
+      "steps": [
+         "uv run python IntelPython_GPU_dpnp_Genetic_Algorithm.py"
+      ]
+    }
     ]
 },
 "expertise": "Code Optimization"

AI-and-Analytics/Features-and-Functionality/IntelPython_XGBoost_Performance/requirements.txt

@@ -1,6 +1,6 @@
 ###### Requirements ######
 notebook
 matplot
-xgboost==0.81
+xgboost==0.82
 scikit-learn
 pandas

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

@@ -9,17 +9,24 @@
   "os":["linux"],
   "targetDevice": ["CPU"],
   "ciTests": {
-  	"linux": [
+    "linux": [
     {
-  		"id": "idp_xgb_performance",
-  		"steps": [
-         	"source /intel/oneapi/intelpython/bin/activate",
-          "python IntelPython_XGBoost_Performance.py",
-          "conda remove xgboost --y",
-          "pip install -r requirements.txt",
-          "python IntelPython_XGBoost_Performance.py"		 
-  		 ]
-  	}
+      "env": [
+        "source /intel/oneapi/intelpython/bin/activate",
+        "conda activate base"
+      ],
+      "id": "idp_xgb_performance",
+      "steps": [
+        "python IntelPython_XGBoost_Performance.py",
+        "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",
+        "uv run python IntelPython_XGBoost_Performance.py"
+      ]
+    }
     ]
 },
 "expertise": "Code Optimization"

AI-and-Analytics/Features-and-Functionality/IntelPython_daal4py_DistributedKMeans/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_d4p_KM_Dist",
 			"steps": [
-				"mpirun -n 4 python ./IntelPython_daal4py_Distributed_Kmeans.py"
+				"uv run mpirun -n 4 python ./IntelPython_daal4py_Distributed_Kmeans.py"
 			]
 		}]
 	},

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

@@ -17,10 +17,15 @@
 				"apt-get update && apt-get install tensorflow-model-server",
 				"source /intel/oneapi/intelpython/bin/activate",
 				"conda activate tensorflow",
-				"pip install -r requirements.txt --no-deps",
-				"pip install tensorflow==2.15.0.post1",
-				"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 numpy==1.26.4",
+				"uv add --dev ipykernel",
+				"uv run ipython kernel install --user --name tensorflow",
+				"pip install notebook"
 			],
 			"id": "tensorflow_AMP_transfer_learning",
 			"steps": [

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

@@ -10,14 +10,23 @@
   "cpuInstructionSets": ["AVX512", "AMX"],
   "ciTests": {
     "linux": [{
+      "env": [
+        "source /intel/oneapi/intelpython/bin/activate",
+        "conda activate tensorflow",
+        "pip install uv",
+        "uv init",
+        "uv python pin $(which python)",
+        "uv venv --system-site-packages",
+        "uv add -r requirements.txt",
+        "uv add py-cpuinfo nbformat nbconvert",
+        "uv add --dev ipykernel",
+        "uv run ipython kernel install --user --name tensorflow",
+        "uv add notebook nbconvert"
+      ],
       "id": "intel llm bf16 infrence and fine-tuning",
       "steps": [
-        "source activate tensorflow",
-        "pip install -r requirements.txt",
-        "python -m pip install py-cpuinfo",
-        "python GPTJ_finetuning.py",
-        "/opt/intel/oneapi/intelpython/latest/envs/tensorflow/bin/python -m ipykernel install --user --name=tensorflow",
-        "python ci_test.py"
+        "uv run python GPTJ_finetuning.py",
+        "uv run python ci_test.py"
       ]
     }]
   },

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

@@ -13,11 +13,16 @@
         "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": "skelarnex_svc",
         "steps": [
-          "python Intel_Extension_for_SKLearn_Performance_SVC_Adult.py"
+          "uv run python Intel_Extension_for_SKLearn_Performance_SVC_Adult.py"
         ]
       }
     ]