// generates STXV instructions on
		// power9. The Short variation is used
		// if no loop is generated.

		// sizes >= 64 generate a loop as follows:

		// Set up loop counter in CTR, used by BC
		// XXLXOR clears VS32
		//       XXLXOR VS32,VS32,VS32
		//       MOVD len/64,REG_TMP
		//       MOVD REG_TMP,CTR
		//       loop:
		//       STXV VS32,0(R20)

  %3 = "tf.Reshape"(%arg1, %two) {_replication_info = "cluster1", _xla_compile_device_type = "TPU", device = ""} : (tensor<?xi64>, tensor<1xi32>) -> tensor<?xi64>
  %4 = "tf.Identity"(%3) {_replication_info = "cluster1", _xla_compile_device_type = "TPU"} : (tensor<?xi64>) -> tensor<?xi64>

  func.return %2, %4 : tensor<?xi32>, tensor<?xi64>
}

// -----

				return
			}
		}

		// ensure the nfacct counters
		if proxier.nfacct != nil {
			for name := range proxier.nfAcctCounters {
				if err := proxier.nfacct.Ensure(name); err != nil {
					proxier.nfAcctCounters[name] = false
					proxier.logger.Error(err, "Failed to create nfacct counter; the corresponding metric will not be updated", "counter", name)
				} else {
					proxier.nfAcctCounters[name] = true
				}

	// style so that we always get the same decision; print
	// in RawFormat
	cfg := Config{Mode: RawFormat}
	var counter sizeCounter
	if err := cfg.fprint(&counter, p.fset, n, p.nodeSizes); err != nil {
		return
	}
	if counter.size <= maxSize && !counter.hasNewline {
		// n fits in a single line
		size = counter.size
		p.nodeSizes[n] = size
	}
	return
}

// CHECK:             %[[COUNTER:.*]], %{{.*}} = tf_executor.island wraps "tf.Add"(%[[ARG_0]], %[[ONE]]) : (tensor<i32>, tensor<i32>) -> tensor<i32>
// CHECK:             tf_executor.fetch %[[COUNTER]], %[[ARG_1]] : tensor<i32>, tensor<f32>
// CHECK:           }
// CHECK:           return %[[GRAPH]]#0, %[[GRAPH]]#1 : tensor<i32>, tensor<f32>

  // Find all of the left over Ops after the sc_forward, sc_backward and
  // core_tpu ops have been identified. What's left are just the ops necessary
  // for updating loop counters etc.
  llvm::SetVector<int64_t> non_tpu_args;
  for (Operation& op : loop_body_func.getOps()) {
    if (merged_set.contains(&op) || llvm::isa<func::ReturnOp>(op) ||
        op.hasAttr(kEmbeddingPipelining))

		//
		counter := 0
		return wait.PollUntilContextCancel(context.TODO(), 100*time.Millisecond, true, func(_ context.Context) (done bool, err error) {
			counter += 1
			err = applyPatchOperation{
				gvr:  myCRDV1Beta1,
				name: "sentinel-resource",
				patch: map[string]interface{}{
					sentinelName: fmt.Sprintf("invalid-%d", counter),
				}}.Do(ctx)

			if err == nil {

// and by the end of the GC mark phase, the heap tends to be densely packed. Releasing
// memory in these densely packed chunks while they're being packed is counter-productive,
// and worse, it breaks up huge pages on systems that support them. The scavenger (invoked
// during memory allocation) further ensures that chunks it identifies as "dense" are

//   - pc is the PC in the running function.
//   - sp is the stack pointer at that program counter.
//   - For the innermost frame on LR machines, lr is the program counter that called fn.
//
// On return, u.frame contains:
//   - fp is the stack pointer of the caller.
//   - lr is the program counter that called fn.
//   - varp, argp, and continpc are populated for the current frame.
//

		}
	}
	if opts.RejectDecreasingSucceededCounter {
		if job.Status.Succeeded < oldJob.Status.Succeeded {
			allErrs = append(allErrs, field.Invalid(statusFld.Child("succeeded"), job.Status.Succeeded, "cannot decrease the succeeded counter"))
		}
	}
	if opts.RejectMutatingCompletionTime {