"properties": {
                "cpu": {
                  "type": "string"
                },
                "memory": {
                  "type": "string"
                }
              }
            },
            "requests": {
              "type": "object",
              "properties": {
                "cpu": {
                  "type": "string"
                },

  maxReplicas: {{ .Values.autoscaling.maxReplicas }}
  metrics:
    {{- if .Values.autoscaling.targetCPUUtilizationPercentage }}
    - type: Resource
      resource:
        name: cpu
        target:
          averageUtilization: {{ .Values.autoscaling.targetCPUUtilizationPercentage }}
          type: Utilization
    {{- end }}
    {{- if .Values.autoscaling.targetMemoryUtilizationPercentage }}

      brokenPodLabelValue: "true"

    # Set to `type: RuntimeDefault` to use the default profile if available.
    seccompProfile: {}

    resources:
      requests:
        cpu: 100m
        memory: 100Mi

    resourceQuotas:
      enabled: false
      pods: 5000

    # The number of pods that can be unavailable during rolling update (see

@test "Wheel conforms to upstream size limitations" {
    WHEEL_MEGABYTES=$(stat --format %s "$TF_WHEEL" | awk '{print int($1/(1024*1024))}')
    # Googlers: search for "test_tf_whl_size"
    case "$TF_WHEEL" in
        # CPU:
        *cpu*manylinux*) LARGEST_OK_SIZE=220 ;;
        # GPU:
        *manylinux*)     LARGEST_OK_SIZE=580 ;;
        # Unknown:
        *)
            echo "The wheel's name is in an unknown format."
            exit 1

		m := collectLocalMetrics(types, collectMetricsOpts{
			hosts: map[string]struct{}{
				globalLocalNodeName: {},
			},
		})

		for _, hm := range m.ByHost {
			if hm.CPU != nil {
				v = *hm.CPU
				break
			}
		}

		return
	}

	return cachevalue.NewFromFunc(1*time.Minute,
		cachevalue.Opts{ReturnLastGood: true},
		loadCPUMetrics)
}

          ./tensorflow/tools/ci_build/ci_build.sh cpu.arm64 bash tensorflow/tools/ci_build/rel/ubuntu/cpu_arm64_test_cpp.sh...

streaming compression due to its stability and performance.

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.
Decompression speed is typically at least 1GB/s.

This means that in cases where raw IO is below these numbers
compression will not only reduce disk usage but also help increase system throughput.

        append(buf, "open", () -> processProbe.getOpenFileDescriptorCount()).append(',');
        append(buf, "max", () -> processProbe.getMaxFileDescriptorCount());
        buf.append("},");
        buf.append("\"cpu\":{");
        append(buf, "percent", () -> processProbe.getProcessCpuPercent()).append(',');
        append(buf, "total", () -> processProbe.getProcessCpuTotalTime());
        buf.append("},");

)

func init() {
	// All MinIO operations must be under UTC.
	os.Setenv("TZ", "UTC")

	// Temporary workaround for
	// https://github.com/golang/go/issues/49233
	// Keep until upstream has been fixed.
	cpuid.CPU.Disable(cpuid.AVX512F, cpuid.AVX512BW, cpuid.AVX512CD, cpuid.AVX512DQ,
		cpuid.AVX512ER, cpuid.AVX512FP16, cpuid.AVX512IFMA, cpuid.AVX512PF, cpuid.AVX512VBMI,

	--build-arg RELEASE="${release}" \
	-t "minio/minio:${release}-cpuv1" \
	-t "quay.io/minio/minio:${release}-cpuv1" \
	--platform=linux/arm64,linux/amd64,linux/ppc64le,linux/s390x \
	-f Dockerfile.release.old_cpu .

docker buildx prune -f

docker buildx build --push --no-cache \
	--build-arg RELEASE="${release}" \
	-t "minio/minio:${release}.fips" \
	-t "quay.io/minio/minio:${release}.fips" \