update samples from Release-143 as a part of SDK release

Author: amlrelsa-ms

how-to-use-azureml/automated-machine-learning/regression-explanation-featurization/auto-ml-regression-explanation-featurization.ipynb

@@ -519,6 +519,10 @@
         "\n",
         "conda_run_config.environment.python.conda_dependencies.add_pip_package(\n",
         "    \"dotnetcore2==2.1.23\"\n",
+        ")\n",
+        "\n",
+        "conda_run_config.environment.python.conda_dependencies.add_pip_package(\n",
+        "    \"protobuf==3.20.1\"\n",
         ")"
       ]
     },
@@ -662,7 +666,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "conda_dep = automl_run.get_environment().python.conda_dependencies\n",
+        "conda_dep = conda_run_config.environment.python.conda_dependencies\n",
         "\n",
         "with open(\"myenv.yml\", \"w\") as f:\n",
         "    f.write(conda_dep.serialize_to_string())\n",

how-to-use-azureml/reinforcement-learning/atari-on-distributed-compute/docker/Dockerfile-gpu

@@ -37,8 +37,7 @@ RUN pip install gym[atari]==0.19.0
 RUN pip install gym[accept-rom-license]==0.19.0
 
 # Install pip dependencies
-RUN HOROVOD_WITH_TENSORFLOW=1 \
-    pip install 'matplotlib>=3.3,<3.4' \
+RUN pip install 'matplotlib>=3.3,<3.4' \
                 'psutil>=5.8,<5.9' \
                 'tqdm>=4.59,<4.60' \
                 'pandas>=1.1,<1.2' \

how-to-use-azureml/reinforcement-learning/atari-on-distributed-compute/pong_rllib.ipynb

@@ -97,7 +97,7 @@
         "import azureml.core\n",
         "\n",
         "# Check core SDK version number\n",
-        "print(\"Azure Machine Learning SDK version: \", azureml.core.VERSION)"
+        "print(\"Azure Machine Learning SDK Version: \", azureml.core.VERSION)"
       ]
     },
     {

how-to-use-azureml/reinforcement-learning/cartpole-on-compute-instance/cartpole_ci.ipynb

@@ -90,7 +90,7 @@
       "outputs": [],
       "source": [
         "import azureml.core\n",
-        "print(\"Azure Machine Learning SDK version:\", azureml.core.VERSION)"
+        "print(\"Azure Machine Learning SDK Version:\", azureml.core.VERSION)"
       ]
     },
     {

how-to-use-azureml/reinforcement-learning/cartpole-on-single-compute/cartpole_sc.ipynb

@@ -91,7 +91,7 @@
       "source": [
         "import azureml.core\n",
         "\n",
-        "print(\"Azure Machine Learning SDK version:\", azureml.core.VERSION)"
+        "print(\"Azure Machine Learning SDK Version:\", azureml.core.VERSION)"
       ]
     },
     {

how-to-use-azureml/reinforcement-learning/cartpole-on-single-compute/files/docker/Dockerfile

@@ -30,5 +30,7 @@ RUN pip install ray-on-aml==0.1.6 & \
     conda install -y -c conda-forge x264='1!152.20180717' ffmpeg=4.0.2 && \
     conda install -c anaconda opencv
 
+RUN pip install protobuf==3.20.0
+
 RUN pip install --upgrade ray==0.8.3 \
     ray[rllib,dashboard,tune]==0.8.3

how-to-use-azureml/reinforcement-learning/multiagent-particle-envs/docker/cpu/Dockerfile

@@ -28,6 +28,8 @@ RUN cd multiagent-particle-envs && \
 
 RUN pip3 install ray-on-aml==0.1.6
 
+RUN pip install protobuf==3.20.0
+
 RUN pip3 install --upgrade \
     ray==0.8.7 \
     ray[rllib]==0.8.7 \

how-to-use-azureml/reinforcement-learning/multiagent-particle-envs/particle.ipynb

@@ -85,7 +85,7 @@
       "outputs": [],
       "source": [
         "import azureml.core\n",
-        "print('Azure Machine Learning SDK version: ', azureml.core.VERSION)"
+        "print('Azure Machine Learning SDK Version: ', azureml.core.VERSION)"
       ]
     },
     {