Remove '-imz-x.y.z' from Docker tags

kanvi-nervana · Feb 8, 2021 · 598edce · 598edce
1 parent 0f5007f
commit 598edce
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diff --git a/datasets/coco/README.md b/datasets/coco/README.md
@@ -107,7 +107,7 @@ format.
    --env OUTPUT_DIR=${OUTPUT_DIR} \
    -v ${DATASET_DIR}:${DATASET_DIR} \
    -v ${OUTPUT_DIR}:${OUTPUT_DIR} \
-   -t intel/object-detection:tf-1.15.2-imz-2.2.0-preprocess-coco-val
+   -t intel/object-detection:tf-1.15.2-preprocess-coco-val
    ```
 
    After the script completes, the `OUTPUT_DIR` will have a TF records file

diff --git a/dockerfiles/ml/scikit-learn-databricks/README.md b/dockerfiles/ml/scikit-learn-databricks/README.md
@@ -5,7 +5,7 @@ It's based on Scikit-learn and TensorFlow conda packages from Intel channel
 
 To build the container try this:
 ```
-docker build -f scikit-learn-databricks.Dockerfile . -t intel/intel-optimized-ml:tf-2.3.0-imz-2.2.0-scikit-learn
+docker build -f scikit-learn-databricks.Dockerfile . -t intel/intel-optimized-ml:tf-2.3.0-scikit-learn
 ```
 
 To run the workflow try this:

diff --git a/...gnition/tensorflow/resnet50v1_5/training/fp32/mlops/multi-node/user-allocated-pvc/Krmfile b/...gnition/tensorflow/resnet50v1_5/training/fp32/mlops/multi-node/user-allocated-pvc/Krmfile
@@ -83,7 +83,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.setters.MODEL_DIR:

diff --git a/...on/tensorflow/resnet50v1_5/training/fp32/mlops/multi-node/user-allocated-pvc/mpi-job.yaml b/...on/tensorflow/resnet50v1_5/training/fp32/mlops/multi-node/user-allocated-pvc/mpi-job.yaml
@@ -15,7 +15,7 @@ spec:
           - name: mpi-launcher
             imagePullPolicy: IfNotPresent
             workingDir: /workspace/resnet50v1-5-fp32-training # {"$openapi":"MODEL_DIR"}
-            image: docker.io/intel/image-recognition:tf-2.3.0-imz-2.2.0-resnet50v1-5-fp32-training # {"$openapi":"IMAGE"}
+            image: docker.io/intel/image-recognition:tf-2.3.0-resnet50v1-5-fp32-training # {"$openapi":"IMAGE"}
             securityContext:
               runAsUser: 0 # {"$openapi":"USER_ID"}
               runAsGroup: 0 # {"$openapi":"GROUP_ID"}
@@ -90,7 +90,7 @@ spec:
           - name: mpi-worker
             imagePullPolicy: IfNotPresent
             workingDir: /workspace/resnet50v1-5-fp32-training # {"$openapi":"MODEL_DIR"}
-            image: docker.io/intel/image-recognition:tf-2.3.0-imz-2.2.0-resnet50v1-5-fp32-training # {"$openapi":"IMAGE"}
+            image: docker.io/intel/image-recognition:tf-2.3.0-resnet50v1-5-fp32-training # {"$openapi":"IMAGE"}
             securityContext:
               runAsUser: 0 # {"$openapi":"USER_ID"}
               runAsGroup: 0 # {"$openapi":"GROUP_ID"}

diff --git a/...cognition/tensorflow/resnet50v1_5/training/fp32/mlops/multi-node/user-mounted-nfs/Krmfile b/...cognition/tensorflow/resnet50v1_5/training/fp32/mlops/multi-node/user-mounted-nfs/Krmfile
@@ -83,7 +83,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.setters.MODEL_DIR:

diff --git a/...tion/tensorflow/resnet50v1_5/training/fp32/mlops/multi-node/user-mounted-nfs/mpi-job.yaml b/...tion/tensorflow/resnet50v1_5/training/fp32/mlops/multi-node/user-mounted-nfs/mpi-job.yaml
@@ -16,7 +16,7 @@ spec:
           - name: mpi-launcher
             imagePullPolicy: IfNotPresent
             workingDir: /workspace/resnet50v1-5-fp32-training # {"$openapi":"MODEL_DIR"}
-            image: docker.io/intel/image-recognition:tf-2.3.0-imz-2.2.0-resnet50v1-5-fp32-training # {"$openapi":"IMAGE"}
+            image: docker.io/intel/image-recognition:tf-2.3.0-resnet50v1-5-fp32-training # {"$openapi":"IMAGE"}
             securityContext:
               runAsUser: 0 # {"$openapi":"USER_ID"}
               runAsGroup: 0 # {"$openapi":"GROUP_ID"}
@@ -92,7 +92,7 @@ spec:
           - name: mpi-worker
             imagePullPolicy: IfNotPresent
             workingDir: /workspace/resnet50v1-5-fp32-training # {"$openapi":"MODEL_DIR"}
-            image: docker.io/intel/image-recognition:tf-2.3.0-imz-2.2.0-resnet50v1-5-fp32-training # {"$openapi":"IMAGE"}
+            image: docker.io/intel/image-recognition:tf-2.3.0-resnet50v1-5-fp32-training # {"$openapi":"IMAGE"}
             securityContext:
               runAsUser: 0 # {"$openapi":"USER_ID"}
               runAsGroup: 0 # {"$openapi":"GROUP_ID"}

diff --git a/...nition/tensorflow/resnet50v1_5/training/fp32/mlops/single-node/user-allocated-pvc/Krmfile b/...nition/tensorflow/resnet50v1_5/training/fp32/mlops/single-node/user-allocated-pvc/Krmfile
@@ -107,7 +107,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.substitutions.GROUP_ID_VALUE:

diff --git a/...ition/tensorflow/resnet50v1_5/training/fp32/mlops/single-node/user-allocated-pvc/pod.yaml b/...ition/tensorflow/resnet50v1_5/training/fp32/mlops/single-node/user-allocated-pvc/pod.yaml
@@ -10,7 +10,7 @@ spec:
     fsGroup: 0 # {"$openapi":"FS_ID"}
   containers:
   - name: single-node
-    image: docker.io/intel/image-recognition:tf-2.3.0-imz-2.2.0-resnet50v1-5-fp32-training # {"$openapi":"IMAGE"}
+    image: docker.io/intel/image-recognition:tf-2.3.0-resnet50v1-5-fp32-training # {"$openapi":"IMAGE"}
     workingDir: /workspace/resnet50v1-5-fp32-training # {"$openapi":"MODEL_DIR"}
     command:
     - python

diff --git a/...ognition/tensorflow/resnet50v1_5/training/fp32/mlops/single-node/user-mounted-nfs/Krmfile b/...ognition/tensorflow/resnet50v1_5/training/fp32/mlops/single-node/user-mounted-nfs/Krmfile
@@ -65,7 +65,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.substitutions.GROUP_ID_VALUE:

diff --git a/...gnition/tensorflow/resnet50v1_5/training/fp32/mlops/single-node/user-mounted-nfs/pod.yaml b/...gnition/tensorflow/resnet50v1_5/training/fp32/mlops/single-node/user-mounted-nfs/pod.yaml
@@ -10,7 +10,7 @@ spec:
     fsGroup: 0 # {"$openapi":"FS_ID"}
   containers:
   - name: single-node
-    image: docker.io/intel/image-recognition:tf-2.3.0-imz-2.2.0-resnet50v1-5-fp32-training # {"$openapi":"IMAGE"}
+    image: docker.io/intel/image-recognition:tf-2.3.0-resnet50v1-5-fp32-training # {"$openapi":"IMAGE"}
     workingDir: /workspace/resnet50v1-5-fp32-training # {"$openapi":"MODEL_DIR"}
     command:
     - python

diff --git a/..._modeling/tensorflow/bert_large/training/fp32/mlops/multi-node/user-allocated-pvc/Krmfile b/..._modeling/tensorflow/bert_large/training/fp32/mlops/multi-node/user-allocated-pvc/Krmfile
@@ -112,7 +112,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.substitutions.GROUP_ID_VALUE:

diff --git a/...ling/tensorflow/bert_large/training/fp32/mlops/multi-node/user-allocated-pvc/mpi-job.yaml b/...ling/tensorflow/bert_large/training/fp32/mlops/multi-node/user-allocated-pvc/mpi-job.yaml
@@ -15,7 +15,7 @@ spec:
           - name: mpi-launcher
             imagePullPolicy: IfNotPresent
             workingDir: /workspace/bert-large-fp32-training # {"$openapi":"MODEL_DIR"}
-            image: docker.io/intel/language-modeling:tf-2.3.0-imz-2.2.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
+            image: docker.io/intel/language-modeling:tf-2.3.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
             securityContext:
               runAsUser: 0 # {"$openapi":"USER_ID"}
               runAsGroup: 0 # {"$openapi":"GROUP_ID"}
@@ -87,7 +87,7 @@ spec:
           - name: mpi-worker
             imagePullPolicy: IfNotPresent
             workingDir: /workspace/bert-large-fp32-training # {"$openapi":"MODEL_DIR"}
-            image: docker.io/intel/language-modeling:tf-2.3.0-imz-2.2.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
+            image: docker.io/intel/language-modeling:tf-2.3.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
             securityContext:
               runAsUser: 0 # {"$openapi":"USER_ID"}
               runAsGroup: 0 # {"$openapi":"GROUP_ID"}

diff --git a/...ge_modeling/tensorflow/bert_large/training/fp32/mlops/multi-node/user-mounted-nfs/Krmfile b/...ge_modeling/tensorflow/bert_large/training/fp32/mlops/multi-node/user-mounted-nfs/Krmfile
@@ -112,7 +112,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.substitutions.GROUP_ID_VALUE:

diff --git a/...deling/tensorflow/bert_large/training/fp32/mlops/multi-node/user-mounted-nfs/mpi-job.yaml b/...deling/tensorflow/bert_large/training/fp32/mlops/multi-node/user-mounted-nfs/mpi-job.yaml
@@ -15,7 +15,7 @@ spec:
           - name: mpi-launcher
             imagePullPolicy: IfNotPresent
             workingDir: /workspace/bert-large-fp32-training # {"$openapi":"MODEL_DIR"}
-            image: docker.io/intel/language-modeling:tf-2.3.0-imz-2.2.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
+            image: docker.io/intel/language-modeling:tf-2.3.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
             securityContext:
               runAsUser: 0 # {"$openapi":"USER_ID"}
               runAsGroup: 0 # {"$openapi":"GROUP_ID"}
@@ -86,7 +86,7 @@ spec:
           - name: mpi-worker
             imagePullPolicy: IfNotPresent
             workingDir: /workspace/bert-large-fp32-training # {"$openapi":"MODEL_DIR"}
-            image: docker.io/intel/language-modeling:tf-2.3.0-imz-2.2.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
+            image: docker.io/intel/language-modeling:tf-2.3.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
             securityContext:
               runAsUser: 0 # {"$openapi":"USER_ID"}
               runAsGroup: 0 # {"$openapi":"GROUP_ID"}

diff --git a/...modeling/tensorflow/bert_large/training/fp32/mlops/single-node/user-allocated-pvc/Krmfile b/...modeling/tensorflow/bert_large/training/fp32/mlops/single-node/user-allocated-pvc/Krmfile
@@ -81,7 +81,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.substitutions.GROUP_ID_VALUE:

diff --git a/...odeling/tensorflow/bert_large/training/fp32/mlops/single-node/user-allocated-pvc/pod.yaml b/...odeling/tensorflow/bert_large/training/fp32/mlops/single-node/user-allocated-pvc/pod.yaml
@@ -10,7 +10,7 @@ spec:
     fsGroup: 0 # {"$openapi":"FS_ID"}
   initContainers:
   - name: create-output-dir
-    image: docker.io/intel/language-modeling:tf-2.3.0-imz-2.2.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
+    image: docker.io/intel/language-modeling:tf-2.3.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
     imagePullPolicy: IfNotPresent
     workingDir: /workspace/bert-large-fp32-training # {"$openapi":"MODEL_DIR"}
     command:
@@ -25,7 +25,7 @@ spec:
     - name: pvc-path
       mountPath: /pvc # {"$openapi":"PVC_PATH"}
   - name: create-checkpoint-dir
-    image: docker.io/intel/language-modeling:tf-2.3.0-imz-2.2.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
+    image: docker.io/intel/language-modeling:tf-2.3.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
     imagePullPolicy: IfNotPresent
     workingDir: /workspace/bert-large-fp32-training # {"$openapi":"MODEL_DIR"}
     command:
@@ -41,7 +41,7 @@ spec:
       mountPath: /pvc # {"$openapi":"PVC_PATH"}
   containers:
   - name: single-node
-    image: docker.io/intel/language-modeling:tf-2.3.0-imz-2.2.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
+    image: docker.io/intel/language-modeling:tf-2.3.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
     workingDir: /workspace/bert-large-fp32-training # {"$openapi":"MODEL_DIR"}
     envFrom:
     - configMapRef:

diff --git a/...e_modeling/tensorflow/bert_large/training/fp32/mlops/single-node/user-mounted-nfs/Krmfile b/...e_modeling/tensorflow/bert_large/training/fp32/mlops/single-node/user-mounted-nfs/Krmfile
@@ -81,7 +81,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.substitutions.GROUP_ID_VALUE:

diff --git a/..._modeling/tensorflow/bert_large/training/fp32/mlops/single-node/user-mounted-nfs/pod.yaml b/..._modeling/tensorflow/bert_large/training/fp32/mlops/single-node/user-mounted-nfs/pod.yaml
@@ -10,7 +10,7 @@ spec:
     fsGroup: 0 # {"$openapi":"FS_ID"}
   initContainers:
   - name: create-output-dir
-    image: docker.io/intel/language-modeling:tf-2.3.0-imz-2.2.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
+    image: docker.io/intel/language-modeling:tf-2.3.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
     imagePullPolicy: IfNotPresent
     workingDir: /workspace/bert-large-fp32-training # {"$openapi":"MODEL_DIR"}
     command:
@@ -25,7 +25,7 @@ spec:
     - name: nfs-path
       mountPath: /nfs # {"$openapi":"NFS_PATH"}
   - name: create-checkpoint-dir
-    image: docker.io/intel/language-modeling:tf-2.3.0-imz-2.2.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
+    image: docker.io/intel/language-modeling:tf-2.3.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
     imagePullPolicy: IfNotPresent
     workingDir: /workspace/bert-large-fp32-training # {"$openapi":"MODEL_DIR"}
     command:
@@ -41,7 +41,7 @@ spec:
       mountPath: /nfs # {"$openapi":"NFS_PATH"}
   containers:
   - name: single-node
-    image: docker.io/intel/language-modeling:tf-2.3.0-imz-2.2.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
+    image: docker.io/intel/language-modeling:tf-2.3.0-bert-large-fp32-training # {"$openapi":"IMAGE"}
     workingDir: /workspace/bert-large-fp32-training # {"$openapi":"MODEL_DIR"}
     envFrom:
     - configMapRef:

diff --git a/...object_detection/tensorflow/rfcn/inference/fp32/mlops/pipeline/user-allocated-pvc/Krmfile b/...object_detection/tensorflow/rfcn/inference/fp32/mlops/pipeline/user-allocated-pvc/Krmfile
@@ -76,15 +76,15 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.setters.PREPROCESS_IMAGE_VERSION:
       description: image version
       x-k8s-cli:
         setter:
           name: PREPROCESS_IMAGE_VERSION
-          value: tf-1.15.2-imz-2.2.0
+          value: tf-1.15.2
           isSet: true
           setBy: model-builder
     io.k8s.cli.setters.IMAGE_SUFFIX:

diff --git a/...on/tensorflow/rfcn/inference/fp32/mlops/pipeline/user-allocated-pvc/serving_accuracy.yaml b/...on/tensorflow/rfcn/inference/fp32/mlops/pipeline/user-allocated-pvc/serving_accuracy.yaml
@@ -18,7 +18,7 @@ spec:
       runAsGroup: 0 # {"$openapi":"GROUP_ID"}
       fsGroup: 0 # {"$openapi":"FS_ID"}
     container:
-      image: docker.io/intel/object-detection:tf-1.15.2-imz-2.2.0-preprocess-coco-val # {"$openapi":"PREPROCESS_IMAGE"}
+      image: docker.io/intel/object-detection:tf-1.15.2-preprocess-coco-val # {"$openapi":"PREPROCESS_IMAGE"}
       command: # {"$openapi":"PREPROCESS_COMMAND"}
       - /workspace/preprocess-coco-val/scripts/preprocess_coco_val.sh # {"$openapi":"PREPROCESS_COMMAND"}
       envFrom:
@@ -43,7 +43,7 @@ spec:
       runAsGroup: 0 # {"$openapi":"GROUP_ID"}
       fsGroup: 0 # {"$openapi":"FS_ID"}
     container:
-      image: docker.io/intel/object-detection:tf-2.3.0-imz-2.2.0-rfcn-fp32-inference # {"$openapi":"IMAGE"}
+      image: docker.io/intel/object-detection:tf-2.3.0-rfcn-fp32-inference # {"$openapi":"IMAGE"}
       imagePullPolicy: Always
       command: # {"$openapi":"MODEL_COMMAND"}
       - /workspace/rfcn-fp32-inference/quickstart/fp32_accuracy.sh # {"$openapi":"MODEL_COMMAND"}

diff --git a/k8s/object_detection/tensorflow/rfcn/inference/fp32/mlops/pipeline/user-mounted-nfs/Krmfile b/k8s/object_detection/tensorflow/rfcn/inference/fp32/mlops/pipeline/user-mounted-nfs/Krmfile
@@ -76,7 +76,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.setters.IMAGE_SUFFIX:
@@ -183,7 +183,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: PREPROCESS_IMAGE_VERSION
-          value: tf-1.15.2-imz-2.2.0
+          value: tf-1.15.2
           isSet: true
           setBy: model-builder
     io.k8s.cli.substitutions.PREPROCESS_IMAGE:

diff --git a/...tion/tensorflow/rfcn/inference/fp32/mlops/pipeline/user-mounted-nfs/serving_accuracy.yaml b/...tion/tensorflow/rfcn/inference/fp32/mlops/pipeline/user-mounted-nfs/serving_accuracy.yaml
@@ -18,7 +18,7 @@ spec:
       runAsGroup: 0 # {"$openapi":"GROUP_ID"}
       fsGroup: 0 # {"$openapi":"FS_ID"}
     container:
-      image: docker.io/intel/object-detection:tf-1.15.2-imz-2.2.0-preprocess-coco-val # {"$openapi":"PREPROCESS_IMAGE"}
+      image: docker.io/intel/object-detection:tf-1.15.2-preprocess-coco-val # {"$openapi":"PREPROCESS_IMAGE"}
       command: # {"$openapi":"PREPROCESS_COMMAND"}
       - /workspace/preprocess-coco-val/scripts/preprocess_coco_val.sh # {"$openapi":"PREPROCESS_COMMAND"}
       envFrom:
@@ -44,7 +44,7 @@ spec:
       runAsGroup: 0 # {"$openapi":"GROUP_ID"}
       fsGroup: 0 # {"$openapi":"FS_ID"}
     container:
-      image: docker.io/intel/object-detection:tf-2.3.0-imz-2.2.0-rfcn-fp32-inference # {"$openapi":"IMAGE"}
+      image: docker.io/intel/object-detection:tf-2.3.0-rfcn-fp32-inference # {"$openapi":"IMAGE"}
       imagePullPolicy: Always
       command: # {"$openapi":"MODEL_COMMAND"}
       - /workspace/rfcn-fp32-inference/quickstart/fp32_accuracy.sh # {"$openapi":"MODEL_COMMAND"}

diff --git a/k8s/object_detection/tensorflow/rfcn/inference/fp32/mlops/serving/user-allocated-pvc/Krmfile b/k8s/object_detection/tensorflow/rfcn/inference/fp32/mlops/serving/user-allocated-pvc/Krmfile
@@ -78,7 +78,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.setters.IMAGE_SUFFIX:

diff --git a/...object_detection/tensorflow/rfcn/inference/fp32/mlops/serving/user-allocated-pvc/pod.yaml b/...object_detection/tensorflow/rfcn/inference/fp32/mlops/serving/user-allocated-pvc/pod.yaml
@@ -10,7 +10,7 @@ spec:
     fsGroup: 0 # {"$openapi":"FS_ID"}
   initContainers:
   - name: extract-pretrained-model
-    image: docker.io/intel/object-detection:tf-2.3.0-imz-2.2.0-rfcn-fp32-inference # {"$openapi":"IMAGE"}
+    image: docker.io/intel/object-detection:tf-2.3.0-rfcn-fp32-inference # {"$openapi":"IMAGE"}
     imagePullPolicy: IfNotPresent
     workingDir: /workspace/rfcn-fp32-inference # {"$openapi":"MODEL_DIR"}
     command:
@@ -28,7 +28,7 @@ spec:
       mountPath: /nfs # {"$openapi":"NFS_PATH"}
   containers:
   - name: serving
-    image: docker.io/intel/object-detection:tf-2.3.0-imz-2.2.0-rfcn-fp32-inference # {"$openapi":"IMAGE"}
+    image: docker.io/intel/object-detection:tf-2.3.0-rfcn-fp32-inference # {"$openapi":"IMAGE"}
     workingDir: /workspace/rfcn-fp32-inference # {"$openapi":"MODEL_DIR"}
     command:
     - python

diff --git a/k8s/object_detection/tensorflow/rfcn/inference/fp32/mlops/serving/user-mounted-nfs/Krmfile b/k8s/object_detection/tensorflow/rfcn/inference/fp32/mlops/serving/user-mounted-nfs/Krmfile
@@ -78,7 +78,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.setters.IMAGE_SUFFIX:

diff --git a/k8s/object_detection/tensorflow/rfcn/inference/fp32/mlops/serving/user-mounted-nfs/pod.yaml b/k8s/object_detection/tensorflow/rfcn/inference/fp32/mlops/serving/user-mounted-nfs/pod.yaml
@@ -10,7 +10,7 @@ spec:
     fsGroup: 0 # {"$openapi":"FS_ID"}
   initContainers:
   - name: extract-pretrained-model
-    image: docker.io/intel/object-detection:tf-2.3.0-imz-2.2.0-rfcn-fp32-inference # {"$openapi":"IMAGE"}
+    image: docker.io/intel/object-detection:tf-2.3.0-rfcn-fp32-inference # {"$openapi":"IMAGE"}
     imagePullPolicy: IfNotPresent
     workingDir: /workspace/rfcn-fp32-inference # {"$openapi":"MODEL_DIR"}
     command:
@@ -28,7 +28,7 @@ spec:
       mountPath: /nfs # {"$openapi":"NFS_PATH"}
   containers:
   - name: serving
-    image: docker.io/intel/object-detection:tf-2.3.0-imz-2.2.0-rfcn-fp32-inference # {"$openapi":"IMAGE"}
+    image: docker.io/intel/object-detection:tf-2.3.0-rfcn-fp32-inference # {"$openapi":"IMAGE"}
     workingDir: /workspace/rfcn-fp32-inference # {"$openapi":"MODEL_DIR"}
     command:
     - python

diff --git a/...ion/tensorflow/wide_deep_large_ds/training/fp32/mlops/pipeline/user-allocated-pvc/Krmfile b/...ion/tensorflow/wide_deep_large_ds/training/fp32/mlops/pipeline/user-allocated-pvc/Krmfile
@@ -107,7 +107,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.setters.IMAGE_SUFFIX:

diff --git a/...w/wide_deep_large_ds/training/fp32/mlops/pipeline/user-allocated-pvc/train_and_serve.yaml b/...w/wide_deep_large_ds/training/fp32/mlops/pipeline/user-allocated-pvc/train_and_serve.yaml
@@ -44,7 +44,7 @@ spec:
       runAsGroup: 0 # {"$openapi":"GROUP_ID"}
       fsGroup: 0 # {"$openapi":"FS_ID"}
     container:
-      image: docker.io/intel/recommendation:tf-2.3.0-imz-2.2.0-wide-deep-large-ds-fp32-training # {"$openapi":"IMAGE"}
+      image: docker.io/intel/recommendation:tf-2.3.0-wide-deep-large-ds-fp32-training # {"$openapi":"IMAGE"}
       imagePullPolicy: IfNotPresent
       workingDir: /workspace/wide-deep-large-ds-fp32-training # {"$openapi":"MODEL_DIR"}
       command: # {"$openapi":"MODEL_COMMAND"}

diff --git a/...ation/tensorflow/wide_deep_large_ds/training/fp32/mlops/pipeline/user-mounted-nfs/Krmfile b/...ation/tensorflow/wide_deep_large_ds/training/fp32/mlops/pipeline/user-mounted-nfs/Krmfile
@@ -107,7 +107,7 @@ openAPI:
       x-k8s-cli:
         setter:
           name: IMAGE_VERSION
-          value: tf-2.3.0-imz-2.2.0
+          value: tf-2.3.0
           isSet: true
           setBy: model-builder
     io.k8s.cli.setters.IMAGE_SUFFIX:

diff --git a/...low/wide_deep_large_ds/training/fp32/mlops/pipeline/user-mounted-nfs/train_and_serve.yaml b/...low/wide_deep_large_ds/training/fp32/mlops/pipeline/user-mounted-nfs/train_and_serve.yaml
@@ -44,7 +44,7 @@ spec:
       runAsGroup: 0 # {"$openapi":"GROUP_ID"}
       fsGroup: 0 # {"$openapi":"FS_ID"}
     container:
-      image: docker.io/intel/recommendation:tf-2.3.0-imz-2.2.0-wide-deep-large-ds-fp32-training # {"$openapi":"IMAGE"}
+      image: docker.io/intel/recommendation:tf-2.3.0-wide-deep-large-ds-fp32-training # {"$openapi":"IMAGE"}
       imagePullPolicy: IfNotPresent
       workingDir: /workspace/wide-deep-large-ds-fp32-training # {"$openapi":"MODEL_DIR"}
       command: # {"$openapi":"MODEL_COMMAND"}