adding pods

ai/containers/training-pod copy.yaml

@@ -0,0 +1,31 @@
+apiVersion: v1
+kind: Pod
+metadata:
+  name: training
+spec:
+  containers:
+    - name: mlflow-container
+      image: ghcr.io/intertwin-eu/t6.5-ai-and-ml:containers
+      command: ["mlflow"]
+      args: ["server", "--backend-store-uri", "/home/T6.5-AI-and-ML/use-cases/mnist/data/ml-logs/"]
+      # volumeMounts:
+      #   - name: shared-volume
+      #     mountPath: /home/T6.5-AI-and-ML
+    - name: itwinai-container
+      image: ghcr.io/intertwin-eu/t6.5-ai-and-ml:containers
+      command: ["sleep", "100000"]
+      #args: ["/eos"]
+      volumeMounts:
+        - name: eos
+          mountPath: /eos
+          mountPropagation: HostToContainer
+
+  volumes:
+    - name: eos
+      # Note the particularity of the host path being /var/eos, not /eos.
+      # The path inside the container will be /eos with this sample setup.
+      hostPath:
+        path: /var/eos
+  securityContext:
+    seLinuxOptions:
+      type: "spc_t"

ai/containers/training-pod-dummy.yaml

@@ -0,0 +1,23 @@
+apiVersion: v1
+kind: Pod
+metadata:
+  name: itwinai-training-sleep-dummy
+spec:
+  containers:
+    - name: itwinai-container
+      image: ghcr.io/intertwin-eu/t6.5-ai-and-ml:containers
+      command: ["sleep", "10000000"]
+      #args: ["/eos"]
+
+  nodeSelector:
+    kubernetes.io/role: agent
+    beta.kubernetes.io/os: linux
+    type: virtual-kubelet
+    kubernetes.io/hostname: jul-vk
+  tolerations:
+  - key: virtual-kubelet.io/provider 
+    operator: Exists
+  - key: virtual-node.interlink/no-schedule
+    operator: Exists
+  - key: vk
+    operator: Exists

ai/containers/training-pod-eos.yaml

@@ -0,0 +1,31 @@
+apiVersion: v1
+kind: Pod
+metadata:
+  name: training
+spec:
+  containers:
+    - name: mlflow-container
+      image: ghcr.io/intertwin-eu/t6.5-ai-and-ml:containers
+      command: ["mlflow"]
+      args: ["server", "--backend-store-uri", "/home/T6.5-AI-and-ML/use-cases/mnist/data/ml-logs/"]
+      # volumeMounts:
+      #   - name: shared-volume
+      #     mountPath: /home/T6.5-AI-and-ML
+    - name: itwinai-container
+      image: ghcr.io/intertwin-eu/t6.5-ai-and-ml:containers
+      command: ["sleep", "100000"]
+      #args: ["/eos"]
+      volumeMounts:
+        - name: eos
+          mountPath: /eos
+          mountPropagation: HostToContainer
+
+  volumes:
+    - name: eos
+      # Note the particularity of the host path being /var/eos, not /eos.
+      # The path inside the container will be /eos with this sample setup.
+      hostPath:
+        path: /var/eos
+  securityContext:
+    seLinuxOptions:
+      type: "spc_t"

ai/containers/training-pod.yaml

@@ -13,15 +13,19 @@ spec:
       #     mountPath: /home/T6.5-AI-and-ML
     - name: itwinai-container
       image: ghcr.io/intertwin-eu/t6.5-ai-and-ml:containers
-      command: ["ls"]
-      args: ["/var"]
+      command: ["sleep", "100000"]
+      #args: ["/eos"]
       volumeMounts:
-        - name: test-volume
-          mountPath: /test_mount_dir
+        - name: eos
+          mountPath: /eos
+          mountPropagation: HostToContainer
+
   volumes:
-    - name: test-volume
+    - name: eos
+      # Note the particularity of the host path being /var/eos, not /eos.
+      # The path inside the container will be /eos with this sample setup.
       hostPath:
-        # directory location on host
-        path: /
-        # this field is optional
-        type: Directory
+        path: /var/eos
+  securityContext:
+    seLinuxOptions:
+      type: "spc_t"