// CHECK: %[[LOCAL_BARRIER:.*]] = tf_executor.island(%[[CONTROL_ASSIGN_VAR_RES_0_0]], %[[CONTROL_ASSIGN_VAR_RES_1_0]], %[[CONTROL_ADA_GRAD]]) wraps "tf.NoOp"() : () -> ()
    %local_barrier = tf_executor.island(%assign_control_0, %assign_control_1, %apply_grad_control) wraps "tf.NoOp"() : () -> ()

	r.lock.Lock()
	defer r.lock.Unlock()
	return r.max - r.count
}

// Snapshot saves the current state of the pool.
func (r *AllocationBitmap) Snapshot() (string, []byte) {
	r.lock.Lock()
	defer r.lock.Unlock()

	return r.rangeSpec, r.allocated.Bytes()
}

// Restore restores the pool to the previously captured state.
func (r *AllocationBitmap) Restore(rangeSpec string, data []byte) error {
	r.lock.Lock()

	}
	if p, err := q.Pop(logger); err != nil || p.Pod != highPriorityPodInfo.Pod {
		t.Errorf("Expected: %v after Pop, but got: %v", highPriorityPodInfo.Pod.Name, p.Pod.Name)
	}
	if p, err := q.Pop(logger); err != nil || p.Pod != medPriorityPodInfo.Pod {
		t.Errorf("Expected: %v after Pop, but got: %v", medPriorityPodInfo.Pod.Name, p.Pod.Name)
	}
	if p, err := q.Pop(logger); err != nil || p.Pod != unschedulablePodInfo.Pod {

it does not call the loop body again after it has returned false or
after the entire loop has exited (it might retain a copy of the body
function, or pass it to another goroutine) -- each generated loop has
its own #stateK variable that is used to check for permitted call
patterns to the yield function for a loop body.

The state values are:

abi.RF_DONE = 0      // body of loop has exited in a non-panic way

  }];
  let constructor = "TF::CreateRemoveUnusedWhileResultsPass()";
}

def HoistLoopInvariantPass : Pass<"tf-hoist-loop-invariant", "mlir::func::FuncOp"> {
  let summary = "Hoists loop invariant ops to the outside of the loop";
   let description = [{
      Hoists loop invariant to the outside of the loop. The pass is similar to
      LoopInvariantCodeMotion pass, but it also hoists ReadVariableOps,
      if the variable is read only.

    connections.add(connection)
//    connection.queueEvent { connectionListener.connectEnd(connection) }
    scheduleCloser()
  }

  /**
   * Notify this pool that [connection] has become idle. Returns true if the connection has been
   * removed from the pool and should be closed.
   */
  fun connectionBecameIdle(connection: RealConnection): Boolean {
    connection.lock.assertHeld()

operations in the while loop body are dependent on which inputs, it captures
inter iteration parallelism in while loop. Control dependencies on the other
hand create a barrier at the end of while loop body thus blocking any
parallelism across iterations.

For example, the following while loop body has a `%barrier` at the end.
Although there is no data/control dependency between `tf.AssignVariableOp`

]},S2=new Set(Object.keys(im))});function $o(){return i=>{i.walkRules(e=>{let t=new Map,r=new Set([]),n=new Map;e.walkDecls(a=>{if(a.parent===e){if(t.has(a.prop)){if(t.get(a.prop).value===a.value){r.add(t.get(a.prop)),t.set(a.prop,a);return}n.has(a.prop)||n.set(a.prop,new Set),n.get(a.prop).add(t.get(a.prop)),n.get(a.prop).add(a)}t.set(a.prop,a)}});for(let a of r)a.remove();for(let a of n.values()){let s=new Map;for(let o of a){let u=A2(o.value);u!==null&&(s.has(u)||s.set(u,new Set),s.get(u).add(o))}for(let...

        given:
        buildFile << """

def prop = project.objects.fileProperty()

task thing {
    ${registrationMethod}(prop)
    prop.set(file("file-1"))
    def other = file("ignored")
    doLast {
        prop.set(other)
        println "prop = " + prop.get()
    }
}
"""
        file("file-1").createFile()

        when:

std::array<int, 4> GetPadOpPaddingValues(const TorchAvgPoolData& pool) {
  int pad_bottom = pool.ph;
  int pad_right = pool.pw;

  if (pool.ceil_mode) {
    const int remaining_bottom = pool.h_in - ((pool.h_out - 1) * pool.sh);
    const int ceil_pad_bottom = pool.kh - remaining_bottom;
    pad_bottom = ceil_pad_bottom - pool.ph;

    const int remaining_right = pool.w_in - ((pool.w_out - 1) * pool.sw);