Merge pull request #2 from mpenn/david_docs_345_p2

David docs 345 p2
nv-morpheus · Sep 27, 2022 · b23fa64 · b23fa64
2 parents fca142a + ef1496d
commit b23fa64
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Showing 6 changed files with 35 additions and 9 deletions.
diff --git a/examples/digital_fingerprinting/production/Dockerfile b/examples/digital_fingerprinting/production/Dockerfile
@@ -58,8 +58,10 @@ FROM base as jupyter
 RUN source activate morpheus \
     && mamba install -y -c conda-forge \
         ipywidgets \
-        jupyterlab \
-        nb_conda_kernels
+        nb_conda_kernels \
+    && pip install jupyter_contrib_nbextensions==0.5.1 \
+    && jupyter contrib nbextension install --user \
+    && pip install jupyterlab_nvdashboard==0.7.0
 
 # Launch jupyter
 CMD ["jupyter-lab", "--ip=0.0.0.0", "--no-browser", "--allow-root"]
diff --git a/examples/digital_fingerprinting/production/README.md b/examples/digital_fingerprinting/production/README.md
@@ -16,15 +16,15 @@ This is necessary to get the latest changes needed for DFP. From the root of the
 ./docker/build_container_release.sh
 ```
 
-## Buildign and Running via `docker-compose`
+## Building and Running via `docker-compose`
 ### Build
 ```bash
 cd examples/digital_fingerprinting/production
 export MORPHEUS_CONTAINER_VERSION="$(git describe --tags --abbrev=0)-runtime"
 docker-compose build
 ```
 
-### Runing the services
+### Running the services
 #### Jupyter Server
 From the `examples/digital_fingerprinting/production` dir run:
 ```bash
@@ -88,6 +88,11 @@ From the `examples/digital_fingerprinting/production` dir run:
 docker-compose up mlflow
 ```
 
+By default, a mlflow dashboard will be available at:
+```bash
+http://localhost:5000
+```
+
 ## Kubernetes deployment
 
 The Morpheus project also maintains Helm charts and container images for Kubernetes deployment of Morpheus and MLflow (both for serving and for the Triton plugin). These are located in the NVIDIA GPU Cloud (NGC) [public catalog](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/collections/morpheus_).
@@ -125,4 +130,5 @@ Open your browser to the reachable address and NodePort exposed by the pod (defa
 
 ```
 helm install --set ngc.apiKey="$API_KEY",sdk.args="cd /workspace/examples/digital_fingerprinting/production/morpheus && ./launch.sh --train_users=generic --duration=1d" <sdk-release-name> morpheus-sdk-client/
-```
+```
+
diff --git a/examples/digital_fingerprinting/production/docker-compose.yml b/examples/digital_fingerprinting/production/docker-compose.yml
@@ -41,7 +41,12 @@ services:
       target: jupyter
       args:
         - MORPHEUS_CONTAINER_VERSION=${MORPHEUS_CONTAINER_VERSION:-v22.09.00-runtime}
-    runtime: nvidia
+    deploy:
+      resources:
+        reservations:
+          devices:
+          - driver: nvidia
+            capabilities: [gpu]    
     image: dfp_morpheus_jupyter
     container_name: jupyter
     ports:
@@ -69,7 +74,12 @@ services:
         - MORPHEUS_CONTAINER_VERSION=${MORPHEUS_CONTAINER_VERSION:-v22.09.00-runtime}
     image: dfp_morpheus
     container_name: morpheus_pipeline
-    runtime: nvidia
+    deploy:
+      resources:
+        reservations:
+          devices:
+          - driver: nvidia
+            capabilities: [gpu]
     networks:
       - frontend
       - backend

diff --git a/examples/digital_fingerprinting/production/morpheus/dfp_azure_inference.ipynb b/examples/digital_fingerprinting/production/morpheus/dfp_azure_inference.ipynb
@@ -421,6 +421,14 @@
     "# Run the pipeline\n",
     "await pipeline._do_run()\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "39971052-6211-4bfe-82d8-88f5845562bc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {

diff --git a/examples/digital_fingerprinting/production/morpheus/dfp_azure_pipeline.py b/examples/digital_fingerprinting/production/morpheus/dfp_azure_pipeline.py
@@ -110,7 +110,7 @@
 )
 @click.option('--tracking_uri',
               type=str,
-              default="http://localhost:5000",
+              default="http://mlflow:5000",
               help=("The MLflow tracking URI to connect to the tracking backend."))
 def run_pipeline(train_users,
                  skip_user: typing.Tuple[str],

diff --git a/examples/digital_fingerprinting/production/morpheus/dfp_duo_pipeline.py b/examples/digital_fingerprinting/production/morpheus/dfp_duo_pipeline.py
@@ -111,7 +111,7 @@
 )
 @click.option('--tracking_uri',
               type=str,
-              default="http://localhost:5000",
+              default="http://mlflow:5000",
               help=("The MLflow tracking URI to connect to the tracking backend."))
 def run_pipeline(train_users,
                  skip_user: typing.Tuple[str],