./cmd create cluster test-cluster --node-selector=cloud.google.com/gke-accelerator=nvidia-l4,cloud.google.com/gke-nodepool=my-node-pool --dry-run

The output is the following. The dry-run output shows that the node selectors are correctly applied to both the head and worker pod specifications:

apiVersion: ray.io/v1
kind: RayCluster
metadata:
  name: test-cluster
  namespace: default
spec:
  headGroupSpec:
    rayStartParams:
      dashboard-host: 0.0.0.0
    template:
      spec:
        containers:
        - image: rayproject/ray:2.41.0
          name: ray-head
          ports:
          - containerPort: 6379
            name: gcs-server
          - containerPort: 8265
            name: dashboard
          - containerPort: 10001
            name: client
          resources:
            limits:
              cpu: "2"
              memory: 4Gi
            requests:
              cpu: "2"
              memory: 4Gi
        **nodeSelector:
          cloud.google.com/gke-accelerator: nvidia-l4
          cloud.google.com/gke-nodepool: my-node-pool**
  rayVersion: 2.41.0
  workerGroupSpecs:
  - groupName: default-group
    rayStartParams:
      metrics-export-port: "8080"
    replicas: 1
    template:
      spec:
        containers:
        - image: rayproject/ray:2.41.0
          name: ray-worker
          resources:
            limits:
              cpu: "2"
              memory: 4Gi
            requests:
              cpu: "2"
              memory: 4Gi
        **nodeSelector:
          cloud.google.com/gke-accelerator: nvidia-l4
          cloud.google.com/gke-nodepool: my-node-pool**