update samples from Release-173 as a part of SDK release

Author: amlrelsa-ms

how-to-use-azureml/deployment/deploy-multi-model/multi-model-register-and-deploy.ipynb

@@ -239,7 +239,7 @@
         "\n",
         "env = Environment(\"deploytocloudenv\")\n",
         "env.python.conda_dependencies.add_pip_package(\"joblib\")\n",
-        "env.python.conda_dependencies.add_pip_package(\"numpy\")\n",
+        "env.python.conda_dependencies.add_pip_package(\"numpy==1.23\")\n",
         "env.python.conda_dependencies.add_pip_package(\"scikit-learn=={}\".format(sklearn.__version__))"
       ]
     },

how-to-use-azureml/deployment/deploy-to-cloud/model-register-and-deploy.ipynb

@@ -285,7 +285,7 @@
         "    'azureml-defaults',\n",
         "    'inference-schema[numpy-support]',\n",
         "    'joblib',\n",
-        "    'numpy',\n",
+        "    'numpy==1.23',\n",
         "    'scikit-learn=={}'.format(sklearn.__version__)\n",
         "])"
       ]
@@ -486,7 +486,7 @@
         "    'azureml-defaults',\n",
         "    'inference-schema[numpy-support]',\n",
         "    'joblib',\n",
-        "    'numpy',\n",
+        "    'numpy==1.23',\n",
         "    'scikit-learn=={}'.format(sklearn.__version__)\n",
         "])\n",
         "inference_config = InferenceConfig(entry_script='score.py', environment=environment)\n",

how-to-use-azureml/deployment/deploy-with-controlled-rollout/deploy-aks-with-controlled-rollout.ipynb

@@ -110,7 +110,7 @@
         "    pip_packages=[\n",
         "    'azureml-defaults',\n",
         "    'inference-schema[numpy-support]',\n",
-        "    'numpy',\n",
+        "    'numpy==1.23',\n",
         "    'scikit-learn==0.22.1',\n",
         "    'scipy'\n",
         "])"

how-to-use-azureml/work-with-data/datasets-tutorial/pipeline-with-datasets/pipeline-for-image-classification.ipynb

@@ -277,7 +277,7 @@
         "  - azureml-dataset-runtime\n",
         "  - keras==2.6\n",
         "  - tensorflow-gpu==2.6\n",
-        "  - numpy\n",
+        "  - numpy==1.23\n",
         "  - scikit-learn\n",
         "  - pandas\n",
         "  - matplotlib\n",

tutorials/image-classification-mnist-data/img-classification-part1-training.ipynb

@@ -431,7 +431,7 @@
         "\n",
         "# to install required packages\n",
         "env = Environment('tutorial-env')\n",
-        "cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults'], conda_packages = ['scikit-learn==0.22.1'])\n",
+        "cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults'], conda_packages = ['scikit-learn==0.22.1', 'numpy==1.23'])\n",
         "\n",
         "env.python.conda_dependencies = cd\n",
         "\n",

tutorials/image-classification-mnist-data/img-classification-part3-deploy-encrypted.ipynb

@@ -82,7 +82,7 @@
         "\n",
         "# to install required packages\n",
         "env = Environment('tutorial-encryption-env')\n",
-        "cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults', 'azure-storage-blob', 'encrypted-inference==0.9'], conda_packages = ['scikit-learn==0.22.1'])\n",
+        "cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults', 'azure-storage-blob', 'encrypted-inference==0.9'], conda_packages = ['scikit-learn==0.22.1', 'numpy==1.23'])\n",
         "\n",
         "env.python.conda_dependencies = cd\n",
         "\n",