Updating versions for v24.06.00

.gitmodules

@@ -1,8 +1,8 @@
 [submodule "external/morpheus-visualizations"]
 	path = external/morpheus-visualizations
 	url = https://github.com/nv-morpheus/morpheus-visualizations.git
-	branch = branch-24.03
+	branch = branch-24.06
 [submodule "external/utilities"]
 	path = external/utilities
 	url = https://github.com/nv-morpheus/utilities.git
-	branch = branch-24.03
+	branch = branch-24.06

CMakeLists.txt

@@ -92,7 +92,7 @@ morpheus_utils_initialize_cuda_arch(morpheus)
 # Note intentionally excluding CUDA from the LANGUAGES list allowing us to set some clang specific settings later when
 # we call morpheus_utils_enable_cuda()
 project(morpheus
-  VERSION 24.03.00
+  VERSION 24.06.00
   LANGUAGES C CXX
 )
 

conda/environments/all_cuda-121_arch-x86_64.yaml

@@ -57,7 +57,7 @@ dependencies:
 - libtool
 - libwebp=1.3.2
 - mlflow=2.9.2
-- mrc=24.03
+- mrc=24.06
 - myst-parser=0.18.1
 - nbsphinx
 - networkx=2.8.8

conda/environments/dev_cuda-121_arch-x86_64.yaml

@@ -44,7 +44,7 @@ dependencies:
 - isort
 - librdkafka>=1.9.2,<1.10.0a0
 - mlflow=2.9.2
-- mrc=24.03
+- mrc=24.06
 - myst-parser=0.18.1
 - nbsphinx
 - networkx=2.8.8

dependencies.yaml

@@ -179,7 +179,7 @@ dependencies:
           - glog=0.6
           - gxx_linux-64=11.2
           - librdkafka>=1.9.2,<1.10.0a0
-          - mrc=24.03
+          - mrc=24.06
           - ninja=1.11
           - nlohmann_json=3.11
           - pkg-config=0.29 # for mrc cmake

docs/source/cloud_deployment_guide.md

@@ -104,7 +104,7 @@ The Helm chart (`morpheus-ai-engine`) that offers the auxiliary components requi
 Follow the below steps to install Morpheus AI Engine:
 
 ```bash
-helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-ai-engine-24.03.tgz --username='$oauthtoken' --password=$API_KEY --untar
+helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-ai-engine-24.06.tgz --username='$oauthtoken' --password=$API_KEY --untar
 ```
 ```bash
 helm install --set ngc.apiKey="$API_KEY" \
@@ -146,7 +146,7 @@ replicaset.apps/zookeeper-87f9f4dd     1         1         1       54s
 Run the following command to pull the Morpheus SDK Client (referred to as Helm chart `morpheus-sdk-client`) on to your instance:
 
 ```bash
-helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-sdk-client-24.03.tgz --username='$oauthtoken' --password=$API_KEY --untar
+helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-sdk-client-24.06.tgz --username='$oauthtoken' --password=$API_KEY --untar
 ```
 
 #### Morpheus SDK Client in Sleep Mode
@@ -184,7 +184,7 @@ kubectl -n $NAMESPACE exec sdk-cli-helper -- cp -RL /workspace/models /common
 The Morpheus MLflow Helm chart offers MLflow server with Triton plugin to deploy, update, and remove models from the Morpheus AI Engine. The MLflow server UI can be accessed using NodePort `30500`. Follow the below steps to install the Morpheus MLflow:
 
 ```bash
-helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-mlflow-24.03.tgz --username='$oauthtoken' --password=$API_KEY --untar
+helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-mlflow-24.06.tgz --username='$oauthtoken' --password=$API_KEY --untar
 ```
 ```bash
 helm install --set ngc.apiKey="$API_KEY" \
@@ -402,7 +402,7 @@ To publish messages to a Kafka topic, we need to copy datasets to locations wher
 kubectl -n $NAMESPACE exec sdk-cli-helper -- cp -R /workspace/examples/data /common
 ```
 
-Refer to the [Morpheus CLI Overview](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/docs/source/basics/overview.rst) and [Building a Pipeline](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/docs/source/basics/building_a_pipeline.md) documentation for more information regarding the commands.
+Refer to the [Morpheus CLI Overview](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/docs/source/basics/overview.rst) and [Building a Pipeline](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/docs/source/basics/building_a_pipeline.md) documentation for more information regarding the commands.
 
 > **Note**: Before running the example pipelines, ensure the criteria below are met:
 -   Ensure models specific to the pipeline are deployed.
@@ -782,8 +782,8 @@ kubectl -n $NAMESPACE exec deploy/broker -c broker -- kafka-topics.sh \
 
 ## Additional Documentation
 For more information on how to use the Morpheus Python API to customize and run your own optimized AI pipelines, Refer to below documentation.
-- [Morpheus Developer Guides](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/docs/source/developer_guide/guides.md)
-- [Morpheus Pipeline Examples](https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/examples)
+- [Morpheus Developer Guides](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/docs/source/developer_guide/guides.md)
+- [Morpheus Pipeline Examples](https://github.com/nv-morpheus/Morpheus/tree/branch-24.06/examples)
 
 
 ## Troubleshooting

docs/source/getting_started.md

@@ -41,22 +41,22 @@ More advanced users, or those who are interested in using the latest pre-release
 ### Pull the Morpheus Image
 1. Go to [https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/containers/morpheus/tags](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/containers/morpheus/tags)
 1. Choose a version
-1. Download the selected version, for example for `24.03`:
+1. Download the selected version, for example for `24.06`:
 ```bash
-docker pull nvcr.io/nvidia/morpheus/morpheus:24.03-runtime
+docker pull nvcr.io/nvidia/morpheus/morpheus:24.06-runtime
 ```
 
 > **Note about Morpheus versions:**
 >
-> Morpheus uses Calendar Versioning ([CalVer](https://calver.org/)). For each Morpheus release there will be an image tagged in the form of `YY.MM-runtime` this tag will always refer to the latest point release for that version. In addition to this there will also be at least one point release version tagged in the form of `vYY.MM.00-runtime` this will be the initial point release for that version (ex. `v24.03.00-runtime`). In the event of a major bug, we may release additional point releases (ex. `v24.03.01-runtime`, `v24.03.02-runtime` etc...), and the `YY.MM-runtime` tag will be updated to reference that point release.
+> Morpheus uses Calendar Versioning ([CalVer](https://calver.org/)). For each Morpheus release there will be an image tagged in the form of `YY.MM-runtime` this tag will always refer to the latest point release for that version. In addition to this there will also be at least one point release version tagged in the form of `vYY.MM.00-runtime` this will be the initial point release for that version (ex. `v24.06.00-runtime`). In the event of a major bug, we may release additional point releases (ex. `v24.06.01-runtime`, `v24.06.02-runtime` etc...), and the `YY.MM-runtime` tag will be updated to reference that point release.
 >
 > Users who want to ensure they are running with the latest bug fixes should use a release image tag (`YY.MM-runtime`). Users who need to deploy a specific version into production should use a point release image tag (`vYY.MM.00-runtime`).
 
 ### Starting the Morpheus Container
 1. Ensure that [The NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker) is installed.
 1. Start the container downloaded from the previous section:
 ```bash
-docker run --rm -ti --runtime=nvidia --gpus=all --net=host -v /var/run/docker.sock:/var/run/docker.sock nvcr.io/nvidia/morpheus/morpheus:24.03-runtime bash
+docker run --rm -ti --runtime=nvidia --gpus=all --net=host -v /var/run/docker.sock:/var/run/docker.sock nvcr.io/nvidia/morpheus/morpheus:24.06-runtime bash
 ```
 
 Note about some of the flags above:
@@ -133,10 +133,10 @@ To run the built "release" container, use the following:
 ./docker/run_container_release.sh
 ```
 
-The `./docker/run_container_release.sh` script accepts the same `DOCKER_IMAGE_NAME`, and `DOCKER_IMAGE_TAG` environment variables that the `./docker/build_container_release.sh` script does. For example, to run version `v24.03.00` use the following:
+The `./docker/run_container_release.sh` script accepts the same `DOCKER_IMAGE_NAME`, and `DOCKER_IMAGE_TAG` environment variables that the `./docker/build_container_release.sh` script does. For example, to run version `v24.06.00` use the following:
 
 ```bash
-DOCKER_IMAGE_TAG="v24.03.00-runtime" ./docker/run_container_release.sh
+DOCKER_IMAGE_TAG="v24.06.00-runtime" ./docker/run_container_release.sh
 ```
 
 ## Launching Triton Server

examples/digital_fingerprinting/production/Dockerfile

@@ -14,7 +14,7 @@
 # limitations under the License.
 
 ARG MORPHEUS_CONTAINER=nvcr.io/nvidia/morpheus/morpheus
-ARG MORPHEUS_CONTAINER_VERSION=v24.03.00-runtime
+ARG MORPHEUS_CONTAINER_VERSION=v24.06.00-runtime
 
 FROM ${MORPHEUS_CONTAINER}:${MORPHEUS_CONTAINER_VERSION} as base
 

examples/digital_fingerprinting/production/docker-compose.yml

@@ -77,7 +77,7 @@ services:
       target: jupyter
       args:
         - MORPHEUS_CONTAINER=${MORPHEUS_CONTAINER:-nvcr.io/nvidia/morpheus/morpheus}
-        - MORPHEUS_CONTAINER_VERSION=${MORPHEUS_CONTAINER_VERSION:-v24.03.00-runtime}
+        - MORPHEUS_CONTAINER_VERSION=${MORPHEUS_CONTAINER_VERSION:-v24.06.00-runtime}
     deploy:
       resources:
         reservations:
@@ -109,7 +109,7 @@ services:
       target: runtime
       args:
         - MORPHEUS_CONTAINER=${MORPHEUS_CONTAINER:-nvcr.io/nvidia/morpheus/morpheus}
-        - MORPHEUS_CONTAINER_VERSION=${MORPHEUS_CONTAINER_VERSION:-v24.03.00-runtime}
+        - MORPHEUS_CONTAINER_VERSION=${MORPHEUS_CONTAINER_VERSION:-v24.06.00-runtime}
     image: dfp_morpheus
     container_name: morpheus_pipeline
     deploy:

examples/digital_fingerprinting/starter/README.md

@@ -20,7 +20,7 @@ We show here how to set up and run the DFP pipeline for three log types: CloudTr
 
 ## Environment Setup
 
-Follow the instructions [here](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/docs/source/developer_guide/contributing.md) to set up your development environment in either a Docker container or conda environment.
+Follow the instructions [here](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/docs/source/developer_guide/contributing.md) to set up your development environment in either a Docker container or conda environment.
 
 ## Morpheus CLI
 

models/model-cards/abp-model-card.md

@@ -88,7 +88,7 @@ limitations under the License.
 
 **Link:** 
 
-* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/abp-sample-nvsmi-training-data.json  <br>
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/training-data/abp-sample-nvsmi-training-data.json  <br>
 
 **Properties (Quantity, Dataset Descriptions, Sensor(s)):** 
 
@@ -98,7 +98,7 @@ limitations under the License.
 
 **Link:** 
 
-* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/abp-validation-data.jsonlines  <br>
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/validation-data/abp-validation-data.jsonlines  <br>
 
 **Properties (Quantity, Dataset Descriptions, Sensor(s)):** 
 
@@ -180,7 +180,7 @@ NVIDIA believes Trustworthy AI is a shared responsibility and we have establishe
 
 ### Link the location of the training dataset's repository.
 
-* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/abp-sample-nvsmi-training-data.json
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/training-data/abp-sample-nvsmi-training-data.json
 
 ### Is the model used in an application with physical safety impact?
 

models/model-cards/dfp-model-card.md

@@ -64,36 +64,36 @@ The model architecture consists of an Autoencoder, where the reconstruction loss
 * Linux<br>
 
 ## Model Version(s):
-* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/dfp-models/hammah-role-g-20211017-dill.pkl
-* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/dfp-models/hammah-user123-20211017-dill.pkl
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/dfp-models/hammah-role-g-20211017-dill.pkl
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/dfp-models/hammah-user123-20211017-dill.pkl
 
 # Training & Evaluation:
 
 ## Training Dataset:
 
 **Link:**
-* https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/models/datasets/training-data/cloudtrail
+* https://github.com/nv-morpheus/Morpheus/tree/branch-24.06/models/datasets/training-data/cloudtrail
 
 **Properties (Quantity, Dataset Descriptions, Sensor(s)):**
 
 The training dataset consists of AWS CloudTrail logs. It contains logs from two entities, providing information about their activities within the AWS environment.
-* [hammah-role-g-training-part1.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/cloudtrail/hammah-role-g-training-part1.json): 700 records <br>
-* [hammah-role-g-training-part2.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/cloudtrail/hammah-role-g-training-part2.json): 1187 records <br>
-* [hammah-user123-training-part2.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/cloudtrail/hammah-user123-training-part2.json): 1000 records <br>
-* [hammah-user123-training-part3.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/cloudtrail/hammah-user123-training-part3.json): 1000 records <br>
-* [hammah-user123-training-part4.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/training-data/cloudtrail/hammah-user123-training-part4.json): 387 records <br>
+* [hammah-role-g-training-part1.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/training-data/cloudtrail/hammah-role-g-training-part1.json): 700 records <br>
+* [hammah-role-g-training-part2.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/training-data/cloudtrail/hammah-role-g-training-part2.json): 1187 records <br>
+* [hammah-user123-training-part2.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/training-data/cloudtrail/hammah-user123-training-part2.json): 1000 records <br>
+* [hammah-user123-training-part3.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/training-data/cloudtrail/hammah-user123-training-part3.json): 1000 records <br>
+* [hammah-user123-training-part4.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/training-data/cloudtrail/hammah-user123-training-part4.json): 387 records <br>
 
 ## Evaluation Dataset:
 **Link:**
-* https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/models/datasets/validation-data/cloudtrail <br>
+* https://github.com/nv-morpheus/Morpheus/tree/branch-24.06/models/datasets/validation-data/cloudtrail <br>
 
 **Properties (Quantity, Dataset Descriptions, Sensor(s)):**
 
 The evaluation dataset consists of AWS CloudTrail logs. It contains logs from two entities, providing information about their activities within the AWS environment.
-* [hammah-role-g-validation.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/cloudtrail/hammah-role-g-validation.json): 314 records
-* [hammah-user123-validation-part1.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/cloudtrail/hammah-user123-validation-part1.json): 300 records
-* [hammah-user123-validation-part2.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/cloudtrail/hammah-user123-validation-part2.json): 300 records
-* [hammah-user123-validation-part3.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/cloudtrail/hammah-user123-validation-part3.json): 247 records
+* [hammah-role-g-validation.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/validation-data/cloudtrail/hammah-role-g-validation.json): 314 records
+* [hammah-user123-validation-part1.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/validation-data/cloudtrail/hammah-user123-validation-part1.json): 300 records
+* [hammah-user123-validation-part2.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/validation-data/cloudtrail/hammah-user123-validation-part2.json): 300 records
+* [hammah-user123-validation-part3.json](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/validation-data/cloudtrail/hammah-user123-validation-part3.json): 247 records
 
 ## Inference:
 **Engine:**
@@ -159,7 +159,7 @@ The evaluation dataset consists of AWS CloudTrail logs. It contains logs from tw
 
 ### List the steps explaining how this model works.
 * The model works by training on baseline behaviors and subsequently detecting deviations from the established baseline, triggering alerts accordingly.
-* [Training notebook](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/training-tuning-scripts/dfp-models/hammah-20211017.ipynb)
+* [Training notebook](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/training-tuning-scripts/dfp-models/hammah-20211017.ipynb)
 
 ### Name the adversely impacted groups (protected classes) this has been tested to deliver comparable outcomes regardless of:
 * Not Applicable
@@ -179,7 +179,7 @@ The evaluation dataset consists of AWS CloudTrail logs. It contains logs from tw
 ## Model Card ++ Saftey & Security Subcard
 
 ### Link the location of the training dataset's repository (if able to share).
-* https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/models/datasets/training-data/cloudtrail
+* https://github.com/nv-morpheus/Morpheus/tree/branch-24.06/models/datasets/training-data/cloudtrail
 
 ### Is the model used in an application with physical safety impact?
 * No
@@ -240,7 +240,7 @@ The evaluation dataset consists of AWS CloudTrail logs. It contains logs from tw
 * No
 
 ### Are we able to identify and trace source of dataset?
-* Yes ([fully synthetic dataset](https://github.com/nv-morpheus/Morpheus/tree/branch-24.03/models/datasets/training-data/cloudtrail))
+* Yes ([fully synthetic dataset](https://github.com/nv-morpheus/Morpheus/tree/branch-24.06/models/datasets/training-data/cloudtrail))
 
 ### Does data labeling (annotation, metadata) comply with privacy laws?
 * Not applicable (as the dataset is fully synthetic)

models/model-cards/gnn-fsi-model-card.md

@@ -141,7 +141,7 @@ NVIDIA believes Trustworthy AI is a shared responsibility and we have establishe
 * None
 
 ### Link the relevant end user license agreement 
-* [Apache 2.0](https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/LICENSE)
+* [Apache 2.0](https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/LICENSE)
 
 ## Model Card ++ Saftey & Security Subcard
 

models/model-cards/phishing-model-card.md

@@ -100,7 +100,7 @@ limitations under the License.
 
 **Link:** 
 
-* https://github.com/nv-morpheus/Morpheus/blob/branch-24.03/models/datasets/validation-data/phishing-email-validation-data.jsonlines  <br>
+* https://github.com/nv-morpheus/Morpheus/blob/branch-24.06/models/datasets/validation-data/phishing-email-validation-data.jsonlines  <br>
 
 **Properties (Quantity, Dataset Descriptions, Sensor(s)):**