steps:
      - name: Get Secrets
        uses: gradle/actions-internal/get-aws-secrets@v1
        if: (github.event_name != 'pull_request' && github.repository_owner == 'gradle') || github.event.pull_request.head.repo.full_name == github.repository
        with:
          role-to-assume: arn:aws:iam::992382829881:role/GHASecrets_gradle_all
          secret-ids: |
            ORG_TEAM_GITHUB_ACCESS_TOKEN, gha/gradle/_all/ORG_TEAM_GITHUB_ACCESS_TOKEN

  {{- if .Values.existingSecret -}}
    {{- .Values.existingSecret }}
  {{- else -}}
    {{- include "minio.fullname" . -}}
  {{- end -}}
{{- end -}}

{{/*
Determine name for scc role and rolebinding
*/}}
{{- define "minio.sccRoleName" -}}
  {{- printf "%s-%s" "scc" (include "minio.fullname" .) | trunc 63 | trimSuffix "-" -}}
{{- end -}}

{{/*
Properly format optional additional arguments to MinIO binary

  3. mc ls {{ template "minio.fullname" . }}_local

{{- end }}
{{- if eq .Values.service.type "LoadBalancer" }}
MinIO can be accessed via port {{ .Values.service.port }} on an external IP address. Get the service external IP address by:
kubectl get svc --namespace {{ .Release.Namespace }} -l app={{ template "minio.fullname" . }}

Note that the public IP may take a couple of minutes to be available.

{{- if and (.Values.networkPolicy.enabled) (eq .Values.networkPolicy.flavor "kubernetes") }}
kind: NetworkPolicy
apiVersion: {{ template "minio.networkPolicy.apiVersion" . }}
metadata:
  name: {{ template "minio.fullname" . }}
  labels:
    app: {{ template "minio.name" . }}
    chart: {{ template "minio.chart" . }}
    release: {{ .Release.Name }}
    heritage: {{ .Release.Service }}
spec:
  podSelector:
    matchLabels:

  delete lib_handle;
}

void TF_GraphRemoveFunction(TF_Graph* g, const char* func_name,
                            TF_Status* status) {
  tensorflow::mutex_lock l(g->mu);
  status->status = g->graph.mutable_flib_def()->RemoveFunction(func_name);

}

void TF_SetAttrFuncName(TF_OperationDescription* desc, const char* attr_name,
                        const char* value, size_t length) {
  tensorflow::NameAttrList func_name;
  func_name.set_name(string(value, value + length));
  desc->node_builder.Attr(attr_name, func_name);
}

void TF_SetAttrShape(TF_OperationDescription* desc, const char* attr_name,
                     const int64_t* dims, int num_dims) {