Bump images/lib to v0.3.0

Signed-off-by: llhuii <liulinghui@huawei.com>

Makefile

@@ -18,7 +18,7 @@ OUT_DIR ?= _output
 OUT_BINPATH := $(OUT_DIR)/bin
 
 IMAGE_REPO ?= kubeedge
-IMAGE_TAG ?= v0.2.0
+IMAGE_TAG ?= v0.3.0
 GO_LDFLAGS ?=''
 
 # set allowDangerousTypes for allowing float

examples/federated_learning/surface_defect_detection/README.md

@@ -39,8 +39,8 @@ curl -o 2.txt https://raw.githubusercontent.com/kubeedge/sedna/main/examples/fed
 
 ### Prepare Images
 This example uses these images:
-1. aggregation worker: ```kubeedge/sedna-example-federated-learning-surface-defect-detection-aggregation:v0.1.0```
-2. train worker: ```kubeedge/sedna-example-federated-learning-surface-defect-detection-train:v0.1.0```  
+1. aggregation worker: ```kubeedge/sedna-example-federated-learning-surface-defect-detection-aggregation:v0.3.0```
+2. train worker: ```kubeedge/sedna-example-federated-learning-surface-defect-detection-train:v0.3.0```
 
 These images are generated by the script [build_images.sh](/examples/build_image.sh).
 
@@ -116,7 +116,7 @@ spec:
       spec:
         nodeName: $CLOUD_NODE
         containers:
-          - image: kubeedge/sedna-example-federated-learning-surface-defect-detection-aggregation:v0.1.0
+          - image: kubeedge/sedna-example-federated-learning-surface-defect-detection-aggregation:v0.3.0
             name:  agg-worker
             imagePullPolicy: IfNotPresent
             env: # user defined environments
@@ -132,7 +132,7 @@ spec:
         spec:
           nodeName: $EDGE1_NODE
           containers:
-            - image: kubeedge/sedna-example-federated-learning-surface-defect-detection-train:v0.1.0
+            - image: kubeedge/sedna-example-federated-learning-surface-defect-detection-train:v0.3.0
               name:  train-worker
               imagePullPolicy: IfNotPresent
               env:  # user defined environments
@@ -151,7 +151,7 @@ spec:
         spec:
           nodeName: $EDGE2_NODE
           containers:
-            - image: kubeedge/sedna-example-federated-learning-surface-defect-detection-train:v0.1.0
+            - image: kubeedge/sedna-example-federated-learning-surface-defect-detection-train:v0.3.0
               name:  train-worker
               imagePullPolicy: IfNotPresent
               env:  # user defined environments

examples/incremental_learning/helmet_detection/README.md

@@ -43,7 +43,7 @@ tar -zxvf video.tar.gz
 ### Prepare Image
 this example use the image:  
 ```
-kubeedge/sedna-example-incremental-learning-helmet-detection:v0.1.0
+kubeedge/sedna-example-incremental-learning-helmet-detection:v0.3.0
 ```
 This image is generated by the script [build_images.sh](/examples/build_image.sh), used for creating training, eval and inference worker.
 
@@ -117,7 +117,7 @@ spec:
       spec:
         nodeName: $WORKER_NODE
         containers:
-          - image: kubeedge/sedna-example-incremental-learning-helmet-detection:v0.1.0
+          - image: kubeedge/sedna-example-incremental-learning-helmet-detection:v0.3.0
             name:  train-worker
             imagePullPolicy: IfNotPresent
             args: ["train.py"]
@@ -148,7 +148,7 @@ spec:
       spec:
         nodeName: $WORKER_NODE
         containers:
-          - image: kubeedge/sedna-example-incremental-learning-helmet-detection:v0.1.0
+          - image: kubeedge/sedna-example-incremental-learning-helmet-detection:v0.3.0
             name:  eval-worker
             imagePullPolicy: IfNotPresent
             args: ["eval.py"]
@@ -176,7 +176,7 @@ spec:
       spec:
         nodeName: $WORKER_NODE
         containers:
-        - image: kubeedge/sedna-example-incremental-learning-helmet-detection:v0.1.0
+        - image: kubeedge/sedna-example-incremental-learning-helmet-detection:v0.3.0
           name:  infer-worker
           imagePullPolicy: IfNotPresent
           args: ["inference.py"]

examples/joint_inference/helmet_detection_inference/README.md

@@ -34,8 +34,8 @@ tar -zxvf big-model.tar.gz
 
 ### Prepare Images
 This example uses these images:
-1. little model inference worker: ```kubeedge/sedna-example-joint-inference-helmet-detection-little:v0.1.0```  
-2. big model inference worker: ```kubeedge/sedna-example-joint-inference-helmet-detection-big:v0.1.0```    
+1. little model inference worker: ```kubeedge/sedna-example-joint-inference-helmet-detection-little:v0.3.0```
+2. big model inference worker: ```kubeedge/sedna-example-joint-inference-helmet-detection-big:v0.3.0```
 
 These images are generated by the script [build_images.sh](/examples/build_image.sh).
 
@@ -112,7 +112,7 @@ spec:
       spec:
         nodeName: $EDGE_NODE
         containers:
-        - image: kubeedge/sedna-example-joint-inference-helmet-detection-little:v0.1.0
+        - image: kubeedge/sedna-example-joint-inference-helmet-detection-little:v0.3.0
           imagePullPolicy: IfNotPresent
           name:  little-model
           env:  # user defined environments
@@ -149,7 +149,7 @@ spec:
       spec:
         nodeName: $CLOUD_NODE
         containers:
-          - image: kubeedge/sedna-example-joint-inference-helmet-detection-big:v0.1.0
+          - image: kubeedge/sedna-example-joint-inference-helmet-detection-big:v0.3.0
             name:  big-model
             imagePullPolicy: IfNotPresent
             env:  # user defined environments

lib/sedna/VERSION

@@ -1 +1 @@
-0.0.2
+0.0.3

pkg/globalmanager/storage_initializer_injector.go

@@ -28,7 +28,7 @@ import (
 
 const (
 	downloadInitalizerContainerName = "storage-initializer"
-	downloadInitalizerImage         = "kubeedge/sedna-storage-initializer:v0.2.0"
+	downloadInitalizerImage         = "kubeedge/sedna-storage-initializer:v0.3.0"
 
 	downloadInitalizerPrefix     = "/downloads"
 	downloadInitalizerVolumeName = "sedna-storage-initializer"

scripts/installation/install.sh

@@ -18,6 +18,9 @@ set -o errexit
 set -o nounset
 set -o pipefail
 
+SEDNA_VERSION=v0.3.0
+KB_VERSION=v0.3.0
+
 TMP_DIR=$(mktemp -d --suffix=.sedna)
 SEDNA_ROOT=${SEDNA_ROOT:-$TMP_DIR}
 
@@ -135,7 +138,7 @@ spec:
       containers:
       - name: kb
         imagePullPolicy: IfNotPresent
-        image: kubeedge/sedna-kb:v0.3.0
+        image: kubeedge/sedna-kb:$KB_VERSION
         env:
           - name: KB_URL
             value: "sqlite:///db/kb.sqlite3"
@@ -236,7 +239,7 @@ spec:
       serviceAccountName: sedna
       containers:
       - name: gm
-        image: kubeedge/sedna-gm:v0.2.0
+        image: kubeedge/sedna-gm:$SEDNA_VERSION
         command: ["sedna-gm", "--config", "/config/$config_file_name", "-v2"]
         volumeMounts:
         - name: gm-config
@@ -291,7 +294,7 @@ spec:
     spec:
       containers:
         - name: lc
-          image: kubeedge/sedna-lc:v0.2.0
+          image: kubeedge/sedna-lc:$SEDNA_VERSION
           env:
             - name: GM_ADDRESS
               value: $GM_ADDRESS