Merge pull request #379 from chaitanya1731/release-v1.6.0

uMartinXu · web-flow · commit 64fbb4248487 · 2025-03-14T13:07:25.000-07:00
version: Updated version links for v1.6.0 release
diff --git a/device_plugins/README.md b/device_plugins/README.md
@@ -23,7 +23,7 @@ Follow the steps below to install Intel Device Plugins Operator using OpenShift
 ### Installation via command line interface (CLI)
 Apply the [install_operator.yaml](/device_plugins/install_operator.yaml) file:
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/device_plugins/install_operator.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/device_plugins/install_operator.yaml
 ```
 
 ### Verify Installation via CLI
diff --git a/device_plugins/deploy_dsa.md b/device_plugins/deploy_dsa.md
@@ -14,7 +14,7 @@
 ## Create CR via CLI
 Apply the CR yaml file:
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/device_plugins/dsa_device_plugin.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/device_plugins/dsa_device_plugin.yaml
 ```
 
 ## Verify via CLI
diff --git a/device_plugins/deploy_gpu.md b/device_plugins/deploy_gpu.md
@@ -14,7 +14,7 @@
 ## Create CR via CLI
 Apply the CR yaml file:
 ```
-$ oc apply -f  https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/device_plugins/gpu_device_plugin.yaml
+$ oc apply -f  https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/device_plugins/gpu_device_plugin.yaml
 ```
 
 ## Verify via CLI
diff --git a/device_plugins/deploy_qat.md b/device_plugins/deploy_qat.md
@@ -14,7 +14,7 @@
 ## Create CR via CLI
 Apply the CR yaml file:
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/device_plugins/qat_device_plugin.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/device_plugins/qat_device_plugin.yaml
 ```
 
 ## Verify via CLI
diff --git a/device_plugins/deploy_sgx.md b/device_plugins/deploy_sgx.md
@@ -14,7 +14,7 @@
 ## Create CR via CLI
 Apply the CR yaml file:
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/device_plugins/sgx_device_plugin.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/device_plugins/sgx_device_plugin.yaml
 ```
 
 ## Verify via CLI
diff --git a/e2e/inference/README.md b/e2e/inference/README.md
@@ -36,7 +36,7 @@ To enable the interactive mode, the OpenVINO notebook CR needs to be created and
 
 Create `AcceleratorProfile` in the `redhat-ods-applications` namespace 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/e2e/inference/accelerator_profile_flex140.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/e2e/inference/accelerator_profile_flex140.yaml
 ```
 
 3. Navigate to `openvino-notebooks` ImageStream and add the above created `AcceleratorProfile` key to the annotation field, as shown in the image below:
@@ -73,7 +73,7 @@ Follow the [link](https://github.com/openvinotoolkit/operator/blob/main/docs/not
   Deploy the ```accelerator_profile_gaudi.yaml``` in the redhat-ods-applications namespace.
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/e2e/inference/accelerator_profile_gaudi.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/e2e/inference/accelerator_profile_gaudi.yaml
 ```
 ## Intel Gaudi AI Accelerator with Intel® Gaudi AI Software Tools Containers on OpenShift AI
 To use Intel Gaudi AI Accelerator with Intel® Gaudi AI Software Tools Containers on OpenShift AI, follow the [documentation](https://github.com/intel/ai-containers/blob/main/enterprise/redhat/openshift-ai/gaudi/README.md).
diff --git a/gaudi/README.md b/gaudi/README.md
@@ -19,7 +19,7 @@ Follow the steps below to install Intel Gaudi AI Accelerator Operator using Open
 
 ### Installation via Command Line Interface (CLI)
 ```
-oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/gaudi/gaudi_install_operator.yaml
+oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/gaudi/gaudi_install_operator.yaml
 ```
 
 ### Verify Installation via CLI
@@ -47,7 +47,7 @@ To create a Habana Gaudi device plugin CR, follow the steps below.
 ### Create CR via CLI
 Apply the CR yaml file:
 ```
-oc apply -f  https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/gaudi/gaudi_cluster_policy.yaml
+oc apply -f  https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/gaudi/gaudi_cluster_policy.yaml
 ```
 
 ### Verify the ClusterPolicy CR is created
diff --git a/kmmo/README.md b/kmmo/README.md
@@ -60,7 +60,7 @@ $ oc label node <node_name> intel.feature.node.kubernetes.io/dgpu-canary=true
 
 3.	Use pre-build mode to deploy the driver container.
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/kmmo/intel-dgpu.yaml   
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/kmmo/intel-dgpu.yaml   
 ```
 
 4.	After the driver is verified on the cluster through the canary deployment, simply remove the line shown below from the [`intel-dgpu.yaml`](/kmmo/intel-dgpu.yaml) file and reapply the yaml file to deploy the driver to the entire cluster. As a cluster administrator, you can also select another deployment policy.
diff --git a/machine_configuration/README.md b/machine_configuration/README.md
@@ -24,7 +24,7 @@ Any contribution in this area is welcome.
 * Turn on `intel_iommu,sm_on` kernel parameter and load `vfio_pci` at boot for QAT and DSA provisioning
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/machine_configuration/100-intel-iommu-on.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/machine_configuration/100-intel-iommu-on.yaml
 ```
 
 Note: This will reboot the worker nodes when changing the kernel parameter through MCO.
diff --git a/nfd/README.md b/nfd/README.md
@@ -14,12 +14,12 @@ Note: As RHOCP cluster administrator, you might need to merge the NFD operator c
 
 1. Create `NodeFeatureDiscovery` CR instance.
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/nfd/node-feature-discovery-openshift.yaml 
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/nfd/node-feature-discovery-openshift.yaml 
 ```
 
 2.	Create `NodeFeatureRule` CR instance.
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/nfd/node-feature-rules-openshift.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/nfd/node-feature-rules-openshift.yaml
 ```
 
 ## Verification 
diff --git a/tests/gaudi/l2/README.md b/tests/gaudi/l2/README.md
@@ -4,7 +4,7 @@
 System Management Interface Tool (hl-smi) utility tool obtains information and monitors data of the Intel Gaudi AI accelerators.
 `hl-smi` tool is packaged with the Gaudi base image. Run below command to deploy and execute the tool:
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/gaudi/l2/hl-smi_job.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/gaudi/l2/hl-smi_job.yaml
 ```
 
 Verify Output:
@@ -41,7 +41,7 @@ HCCL (Habana Collective Communication Library) demo is a program that demonstrat
 
 Build the workload container image:
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/gaudi/l2/hccl_build.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/gaudi/l2/hccl_build.yaml
 ```
 Create service account with required permissions: 
 ```
@@ -50,7 +50,7 @@ $ oc adm policy add-scc-to-user anyuid -z hccl-demo-anyuid-sa -n gaudi-validatio
 ```
 Deploy and execute the workload:
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/gaudi/l2/hccl_job.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/gaudi/l2/hccl_job.yaml
 ```
 
 Verify Output:
@@ -85,7 +85,7 @@ $ oc project gaudi-validation
 ```
 Build the workload container image:
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/gaudi/l2/vllm_buildconfig.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/gaudi/l2/vllm_buildconfig.yaml
 
 ```
 Check if the build has completed
@@ -99,13 +99,13 @@ gaudi-validation   vllm-workload-1    Docker   Dockerfile   Complete   7 minutes
 Deploy the workload:
 * Update the hugging face token in the ```vllm_hf_secret.yaml``` file, refer to [link](https://huggingface.co/docs/hub/en/security-tokens) for more details. 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/gaudi/l2/vllm_hf_secret.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/gaudi/l2/vllm_hf_secret.yaml
 ```
 meta-llama/Llama-3.1-8B model is used in this deployment and the hugging face token is used to access such gated models.
 * For the PV setup with NFS, refer to [documentation](https://docs.openshift.com/container-platform/4.17/storage/persistent_storage/persistent-storage-nfs.html).
 * The vLLM pod needs to access the host's shared memory for tensor parallel inference, which is mounted as a volume.
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/gaudi/l2/vllm_deployment.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/gaudi/l2/vllm_deployment.yaml
 ```
 Create the vllm service
 ```
@@ -164,7 +164,7 @@ Loading safetensors checkpoint shards: 100% Completed | 4/4 [00:11<00:00, 2.93s/
 * The internal service url is used to run inference requests to the vLLM server. This service is only accessible from pods running within the same namespace i.e gaudi-validation. Run the below commands to create a sample pod and run requests.
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/gaudi/l2/test-pod.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/gaudi/l2/test-pod.yaml
 ```
 
 Check for the pod
@@ -198,7 +198,7 @@ sh-5.1# curl http://vllm-workload.gaudi-validation.svc.cluster.local:8000/v1/com
 System Management Interface Tool (hl-smi) utility tool obtains information and monitors data of the Intel Gaudi AI accelerators.
 Run below command to check firmware version with the tool:
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/gaudi/l2/hl-smi-firmware_job.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/gaudi/l2/hl-smi-firmware_job.yaml
 ```
 
 Verify Output:
diff --git a/tests/l2/dgpu/README.md b/tests/l2/dgpu/README.md
@@ -6,13 +6,13 @@ This workload runs [clinfo](https://github.com/Oblomov/clinfo) utilizing the i91
 *	Build the workload container image. 
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/clinfo_build.yaml 
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/dgpu/clinfo_build.yaml 
 ```
 
 *	Deploy and execute the workload.
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/clinfo_job.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/dgpu/clinfo_job.yaml
 ```
 
 * Check the results.
@@ -47,13 +47,13 @@ This workload runs ```hwinfo``` utilizing the i915 resource from GPU provisionin
 *	Build the workload container image. 
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/hwinfo_build.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/dgpu/hwinfo_build.yaml
 ```
 
 *	Deploy and execute the workload.
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/hwinfo_job.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/dgpu/hwinfo_job.yaml
 ```
 
 * Check the results
@@ -96,13 +96,13 @@ This workload runs [vainfo](https://github.com/intel/libva-utils) utilizing the
 *	Build the workload container image.
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/vainfo_build.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/dgpu/vainfo_build.yaml
 ```
 
 *	Deploy and execute the workload.
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/vainfo_job.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/dgpu/vainfo_job.yaml
 ```
 
 * Check the results.
@@ -163,13 +163,13 @@ This workload runs various test programs from [libvpl](https://github.com/intel/
 *	Build the workload container image.
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/intelvpl_build.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/dgpu/intelvpl_build.yaml
 ```
 
 *	Deploy and execute the workload.
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/intelvpl_job.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/dgpu/intelvpl_job.yaml
 ```
 
 * Check the results.
diff --git a/tests/l2/dsa/README.md b/tests/l2/dsa/README.md
@@ -6,25 +6,25 @@ This workload runs [accel-config](https://github.com/intel/idxd-config) sample t
 Please replace the credentials in buildconfig yaml with your RedHat account login credentials. 
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dsa/dsa_build.yaml 
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/dsa/dsa_build.yaml 
 ```
 
 * Create SCC intel-dsa-scc for Intel DSA based workload, if this SCC is not created   
   
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/security/dsa_scc.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/security/dsa_scc.yaml
 ```
       
 * Create the intel-dsa service account to use intel-dsa-scc
   
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/security/dsa_rbac.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/security/dsa_rbac.yaml
 ```
 
 * Deploy the accel-config workload job with intel-dsa service account
   
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dsa/dsa_job.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/dsa/dsa_job.yaml
 ```
 
 * Check the results.
diff --git a/tests/l2/qat/README.md b/tests/l2/qat/README.md
@@ -12,25 +12,25 @@ $ oc new-project intel-qat
 Please replace the credentials in buildconfig yaml with your RedHat account login credentials. 
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/qat/qatlib_build.yaml 
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/qat/qatlib_build.yaml 
 ```
 
 * Create SCC intel-qat-scc for Intel QAT based workload, if this SCC is not created   
   
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/security/qatlib_scc.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/security/qatlib_scc.yaml
 ```
       
 * Create the intel-qat service account to use intel-qat-scc
   
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/security/qatlib_rbac.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/security/qatlib_rbac.yaml
 ```
 
 * Deploy the qatlib workload job with intel-qat service account
   
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/qat/qatlib_job.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/qat/qatlib_job.yaml
 ```
 
 * Check the results.
diff --git a/tests/l2/sgx/README.md b/tests/l2/sgx/README.md
@@ -2,13 +2,13 @@
 This [SampleEnclave](https://github.com/intel/linux-sgx/tree/master/SampleCode/SampleEnclave) application workload from the Intel SGX SDK runs an Intel SGX enclave utilizing the EPC resource from the Intel SGX provisioning.
 * Build the container image. 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/sgx/sgx_build.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/sgx/sgx_build.yaml
 ```
 
 * Deploy and run the workload.
   
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/sgx/sgx_job.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/tests/l2/sgx/sgx_job.yaml
 ```
 
 *	Check the results.
diff --git a/workloads/opea/chatqna/README.md b/workloads/opea/chatqna/README.md
@@ -65,7 +65,7 @@ For example:
 ```
   
 ``` 
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/workloads/opea/chatqna/persistent_volumes.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/workloads/opea/chatqna/persistent_volumes.yaml
 
 ```
 
@@ -86,7 +86,7 @@ create_megaservice_container.sh
 
 ### Deploy Redis Vector Database Service
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/workloads/opea/chatqna/redis_deployment_service.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/workloads/opea/chatqna/redis_deployment_service.yaml
 
 ```
 
@@ -109,7 +109,7 @@ redis-vector-db       ClusterIP   1.2.3.4          <none>        6379/TCP,8001/T
 Update the inference endpoint from the <image name> in the chatqna_megaservice_deployment.
 
 ```
-$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/workloads/opea/chatqna/chatqna_megaservice_deployment.yaml
+$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/v1.6.0/workloads/opea/chatqna/chatqna_megaservice_deployment.yaml
 ```
 
 Check that the pod and service are running:
