* [KaPropertySymbol]s instead.
     *
     * E.g., for the following code:
     * ```
     * data class X(val y: Int, val z: String)
     * fun foo() {
     *      val (a, _) = x // the destruction
     * }
     * ```
     *
     * the following symbols will be created (pseudocode)
     * ```
     * val a: Int
     * val _: String
     * ```
     */

          absl::AbortedError("The input `histogram` must have int64 type."));
    }
  }

  ~CalibrationStatisticsSaverOp() override {
    // Save to file during destruction so we only save it once.
    // TODO - b/335044516 : Find a way to flush outside of the destructor.
    CalibrationStatisticsMap statistics_map;
    for (const auto& [id, collector] : id_to_collector_) {
      std::optional<CalibrationStatistics> statistics =

	SetUpDevice() (stagingPath string, err error)

	// MapPodDevice maps the block device to a path and return the path.
	// Unique device path across kubelet node reboot is required to avoid
	// unexpected block volume destruction.
	// If empty string is returned, the path returned by attacher.Attach() and
	// attacher.WaitForAttach() will be used.
	MapPodDevice() (publishPath string, err error)

			// being executed. Via the once boolean we
			// also encourage one in 5 waiters to return
			// locked after participating in only one
			// question response sequence. This allows the
			// test to race thread destruction too.
			once := routines%5 == 4
			go waiter(question, response, once)

			// Keep a count of how many goroutines are
			// going to participate in the
			// question/response test. This will count up

	WasmF64
	WasmPtr
)

type InlMark struct {
	// When unwinding from an instruction in an inlined body, mark
	// where we should unwind to.
	// id records the global inlining id of the inlined body.
	// p records the location of an instruction in the parent (inliner) frame.
	p  *Prog
	id int32
}

// Mark p as the instruction to set as the pc when
// "unwinding" the inlining global frame id. Usually it should be

	// check the AUXV for the CPUID bit. The getMIDR function executes an
	// instruction which would normally be an illegal instruction, but it's
	// trapped by the kernel, the value sanitized and then returned.
	// Without the CPUID bit the kernel will not trap the instruction and the
	// process will be terminated with SIGILL.
	if ARM64.HasCPUID {
		midr := getMIDR()

   
   
   *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.

            return "Called from a write action."
        }

        permissionRegistry.explicitAnalysisRestriction?.let { restriction ->
            return "Resolve is explicitly forbidden in the current action: ${restriction.description}."
        }

        error("Cannot get a rejection reason when analysis is allowed.")
    }

            {{range .Instructions -}}
              {{/* separate when we hit a new basic block */ -}}
              {{if .NewBlock -}}{{printf " %8s %28s\n" "" "⋮"}}{{end -}}

              {{/* inlined calls leading to this instruction */ -}}
              {{range .InlinedCalls -}}
                {{printf " %8s %10s %10s %8s  " "" "" "" "" -}}
                <span class=inlinesrc>{{.SrcLine}}</span>{{" " -}}

	// accordingly.

	// Search for the PUSHQ BP instruction inside the prologue.
	var pushbp *obj.Prog
	for p := s.Func().Text; p != nil; p = p.Link {
		if p.As == APUSHQ && p.From.Type == obj.TYPE_REG && p.From.Reg == REG_BP {
			pushbp = p
			break
		}
		if p.Pos.Xlogue() == src.PosPrologueEnd {
			break
		}
	}
	if pushbp == nil {
		ctxt.Diag("missing frame pointer instruction: PUSHQ BP")
		return
	}