{} # Setup how istiod Service is configured. See https://kubernetes.io/docs/concepts/services-networking/dual-stack/#services ipFamilyPolicy: "" ipFamilies: [] # To generate an internal load balancer: # --set serviceAnnotations.cloud.google.com/load-balancer-type=internal #serviceAnnotations: # cloud.google.com/load-balancer-type: "internal" podAnnotations: {} type: LoadBalancer #change to NodePort, ClusterIP or LoadBalancer if need be ########## secretVolumes: - name: ingressgateway-certs secretName:...

// This input was created by taking the mips64 testcase and modified
// by hand.

#include "../../../../../runtime/textflag.h"

TEXT foo(SB),DUPOK|NOSPLIT,$0

	//inst:
	//
	// load ints and bytes
	//
	//	LMOVW rreg ',' rreg
	//	{
	//		outcode(int($1), &$2, 0, &$4);
	//	}
	MOVW	R1, R2
	MOVW	LO, R1
	MOVW	HI, R1
	MOVW	R1, LO
	MOVW	R1, HI
	MOVW	R1, R2
	MOVW	LO, R1
	MOVW	HI, R1

                        description: Maximum % of hosts in the load balancing pool
                          for the upstream service that can be ejected.
                        format: int32
                        type: integer
                      minHealthPercent:
                        description: Outlier detection will be enabled as long as
                          the associated load balancing pool has at least min_health_percent

          RUN make
          EOF

      - name: Build
        uses: docker/build-push-action@v3
        with:
          context: .
          file: Dockerfile.fips.test
          push: false
          load: true
          tags: minio/fips-test:latest

      # This should fail if grep returns non-zero exit
      - name: Test binary
        run: |
          docker run --rm minio/fips-test:latest ./minio --version

	MOV	$0, 0(SP)			// ERROR "constant load must target register"
	MOV	$0, 8(SP)			// ERROR "constant load must target register"
	MOV	$1234, 0(SP)			// ERROR "constant load must target register"
	MOV	$1234, 8(SP)			// ERROR "constant load must target register"
	MOVB	$1, X5				// ERROR "unsupported constant load"
	MOVH	$1, X5				// ERROR "unsupported constant load"
	MOVW	$1, X5				// ERROR "unsupported constant load"

	MOVD $2147483649, R5            // 6405800060a50001 or 0600800038a00001
	// Hex constant 0xFFFFFFFF80000001
	MOVD $-2147483647, R5           // 3ca0800060a50001 or 0603800038a00001
	// Hex constant 0xFFFFFFFE00000002 (load of constant on < power10, pli on >= power10
	MOVD $-8589934590, R5           // 3ca00000e8a50000 or 0602000038a00002

	// For backwards compatibility, MOVW $const,Rx and MOVWZ $const,Rx assemble identically

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   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 default MCP is assumed.
    configSource:
      subscribedResources: []
    # The following is used to limit how long a sidecar can be connected
    # to a pilot. It balances out load across pilot instances at the cost of
    # increasing system churn.
    keepaliveMaxServerConnectionAge: 30m
    # Additional labels to apply to the deployment.
    deploymentLabels: {}
    ## Mesh config settings

	MOVD	$-0x10000(RSP), RSP           // MOVD	$-65536(RSP), RSP           // ff4340d1
	MOVW	R1, R2
	MOVW	ZR, R1
	MOVW	R1, ZR
	MOVD	R1, R2
	MOVD	ZR, R1

// store and load
//
// LD1/ST1
	VLD1	(R8), [V1.B16, V2.B16]                          // 01a1404c
	VLD1.P	(R3), [V31.H8, V0.H8]                           // 7fa4df4c
	VLD1.P	(R8)(R20), [V21.B16, V22.B16]                   // 15a1d44c

                        description: Maximum % of hosts in the load balancing pool
                          for the upstream service that can be ejected.
                        format: int32
                        type: integer
                      minHealthPercent:
                        description: Outlier detection will be enabled as long as
                          the associated load balancing pool has at least min_health_percent