cc = append(cc, newComponent(suffix+"_len", asmKind(arch.intSize), "string len", off+arch.ptrSize, arch.intSize, suffix))

	case asmComplex:
		fsize := size / 2
		cc = append(cc, newComponent(suffix+"_real", asmKind(fsize), fmt.Sprintf("real(complex%d)", size*8), off, fsize, suffix))
		cc = append(cc, newComponent(suffix+"_imag", asmKind(fsize), fmt.Sprintf("imag(complex%d)", size*8), off+fsize, fsize, suffix))

	case asmStruct:

}

// THIS FILE IS GENERATED BY THE COMMAND AT THE TOP; DO NOT EDIT

func FcntlInt(fd uintptr, cmd int, arg int) (retval int, err error) {
	runtime.EnterSyscall()
	r0, e2, e1 := CallLeFuncWithErr(GetZosLibVec()+SYS_FCNTL<<4, uintptr(fd), uintptr(cmd), uintptr(arg))
	runtime.ExitSyscall()
	retval = int(r0)
	if int64(r0) == -1 {
		err = errnoErr2(e1, e2)
	}
	return
}

// CHECK-SAME: %[[STATE:.*]]: tensor<2xui64>
func.func @xla_rng_bit_generator(%arg0: tensor<2xui64>) -> (tensor<2xui64>, tensor<10x12xui32>) attributes {tf.entry_function = {control_outputs = "", inputs = "_arg0,_arg1,_arg2", outputs = "_retval0,_retval1"}} {
  // CHECK-NEXT: %0 = mhlo.constant dense<[10, 12]> : tensor<2xi32>
  %cst = "tf.Const"() {value = dense<[10, 12]> : tensor<2xi32>} : () -> tensor<2xi32>
  // CHECK-NEXT: %1 = mhlo.constant dense<3> : tensor<i32>

  std::string args_communication_key =
      llvm::formatv("host_compute_channel_{0}_args", (communication_key_index))
          .str();
  std::string retvals_communication_key =
      llvm::formatv("host_compute_channel_{0}_retvals",
                    (communication_key_index))
          .str();

  // Use a unique name when sending just the IfRegion predicate.  This is
  // for readable and to match the key in the TF2XLA bridge.

  // CHECK-LABEL: @const_input_required
  func.func @const_input_required(%arg0: tensor<10xf64>) -> tensor<?xf64> attributes {tf.entry_function = {control_outputs = "", inputs = "_arg0,_arg1,_arg2,_arg3", outputs = "_retval0"}} {
    %cst = "tf.Const"() {value = dense<6> : tensor<1xi32>} : () -> tensor<1xi32>
    %cst_0 = "tf.Const"() {value = dense<2> : tensor<1xi32>} : () -> tensor<1xi32>

//       }
// .   }
//     kind: PARAMETER
//     sharding {
//       type: MAXIMAL
//       tile_assignment_dimensions: 1
//       tile_assignment_devices: 0
//     }
//   }
//   retvals {
//     sharding {
//       type: MAXIMAL
//       tile_assignment_dimensions: 1
//       tile_assignment_devices: 0
//     }
//   }
//   num_replicas: 1
//   num_cores_per_replica: 1

//sys	Fchown(fd int, uid int, gid int) (err error)
//sys	Fchownat(fd int, path string, uid int, gid int, flags int) (err error) = SYS___FCHOWNAT_A
//sys	FcntlInt(fd uintptr, cmd int, arg int) (retval int, err error) = SYS_FCNTL
//sys	Fdatasync(fd int) (err error) = SYS_FDATASYNC
//sys	fstat(fd int, stat *Stat_LE_t) (err error)
//sys	fstatat(dirfd int, path string, stat *Stat_LE_t, flags int) (err error) = SYS___FSTATAT_A

			t.Errorf("MapIter.Key() = %q, MapIter.SetKey() = %q", key, setkey)
		}
		if setval, val := valueToString(e), valueToString(iter.Value()); setval != val {
			t.Errorf("MapIter.Value() = %q, MapIter.SetValue() = %q", val, setval)
		}
	}

	if testenv.OptimizationOff() {
		return // no inlining with the noopt builder
	}