- name: ISTIO_CPU_LIMIT
          valueFrom:
            resourceFieldRef:
              resource: limits.cpu
        - name: PROXY_CONFIG
          value: |
            {"image":{"imageType":"distroless"}}
        - name: ISTIO_META_POD_PORTS
          value: '[]'
        - name: ISTIO_META_APP_CONTAINERS
          value: ""
        - name: GOMEMLIMIT
          valueFrom:

    defaultConfig:
      {{- if .Values.global.meshID }}
      meshId: "{{ .Values.global.meshID }}"
      {{- end }}
      {{- with (.Values.global.proxy.variant | default .Values.global.variant) }}
      image:
        imageType: {{. | quote}}
      {{- end }}
      {{- if not (eq .Values.global.proxy.tracer "none") }}
      tracing:
      {{- if eq .Values.global.proxy.tracer "lightstep" }}
        lightstep:

    defaultConfig:
      {{- if .Values.global.meshID }}
      meshId: "{{ .Values.global.meshID }}"
      {{- end }}
      {{- with (.Values.global.proxy.variant | default .Values.global.variant) }}
      image:
        imageType: {{. | quote}}
      {{- end }}
      {{- if not (eq .Values.global.proxy.tracer "none") }}
      tracing:
      {{- if eq .Values.global.proxy.tracer "lightstep" }}
        lightstep:

		// it always overrides the injector logic.
		if r.Metadata.Annotations["sidecar.istio.io/proxyImage"] != "" {
			return true
		}

		variant := resolver.ImageType(r)

		for _, container := range append(slices.Clone(pod.Containers), pod.InitContainers...) {
			if container.Name != util.IstioProxyName {
				continue
			}

           << func_.getFunctionType().getNumResults();
  }

  // Check types and shapes.
  auto image_type = mlir::dyn_cast_or_null<RankedTensorType>(
      func_.getFunctionType().getInput(0));
  if (!image_type || !image_type.getElementType().isF32() ||
      image_type.getRank() != 4) {
    return func_.emitWarning() << "Image should be a 4D float tensor";
  }