multiple: true
      options:
        - com.google.common.annotations
        - com.google.common.base
        - com.google.common.cache
        - com.google.common.collect
        - com.google.common.escape
        - com.google.common.eventbus
        - com.google.common.graph
        - com.google.common.hash
        - com.google.common.io
        - com.google.common.math
        - com.google.common.net

      options:
        - com.google.common.annotations
        - com.google.common.base
        - com.google.common.cache
        - com.google.common.collect
        - com.google.common.escape
        - com.google.common.eventbus
        - com.google.common.graph
        - com.google.common.hash
        - com.google.common.io
        - com.google.common.math
        - com.google.common.net

                              prefix:
                                type: string
                              regex:
                                description: RE2 style regex-based match (https://github.com/google/re2/wiki/Syntax).
                                type: string
                            type: object
                          type: array
                        exposeHeaders:

      options:
        - label: >
            I agree to follow the
            [code of conduct](https://github.com/google/.github/blob/master/CODE_OF_CONDUCT.md).
          required: true
        - label: >
            I have read and understood the [contribution
            guidelines](https://github.com/google/guava/wiki/HowToContribute#feature-requests).
          required: true
        - label: >

# However, it has a bunch of LICENSE test files that our linter fails to understand
- helm.sh/helm/v3

# https://github.com/pelletier/go-toml/blob/master/LICENSE
# Uses MIT for everything, except a few files copied from
# google's civil library that uses Apache 2
- github.com/pelletier/go-toml

# https://github.com/xeipuuv/gojsonpointer/blob/master/LICENSE-APACHE-2.0.txt
- github.com/xeipuuv/gojsonpointer

      labels:
        app: hello
        tier: backend
        track: stable
    spec:
      containers:
        - name: hello
          image: "fake.docker.io/google-samples/hello-go-gke:1.0"
          ports:
            - name: http

   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.

  - emptyDir: {}
    name: credential-socket
  {{- if eq .Values.global.caName "GkeWorkloadCertificate" }}
  - name: gke-workload-certificate
    csi:
      driver: workloadcertificates.security.cloud.google.com
  {{- else}}
  - emptyDir: {}
    name: workload-certs
  {{- end }}
  # SDS channel between istioagent and Envoy
  - emptyDir:
      medium: Memory
    name: istio-envoy
  - name: istio-data

  - emptyDir: {}
    name: credential-socket
  {{- if eq .Values.global.caName "GkeWorkloadCertificate" }}
  - name: gke-workload-certificate
    csi:
      driver: workloadcertificates.security.cloud.google.com
  {{- else}}
  - emptyDir: {}
    name: workload-certs
  {{- end }}
  # SDS channel between istioagent and Envoy
  - emptyDir:
      medium: Memory
    name: istio-envoy
  - name: istio-data

        name: credential-socket
      {{- if eq .Values.global.caName "GkeWorkloadCertificate" }}
      - name: gke-workload-certificate
        csi:
          driver: workloadcertificates.security.cloud.google.com
      {{- else}}
      - emptyDir: {}
        name: workload-certs
      {{- end }}
      # SDS channel between istioagent and Envoy
      - emptyDir:
          medium: Memory
        name: istio-envoy