// Don't make other Acquire calls block on one that's doomed to fail.
		s.mu.Unlock()
		<-done
		return ctx.Err()
	}

	ready := make(chan struct{})
	w := waiter{n: n, ready: ready}
	elem := s.waiters.PushBack(w)
	s.mu.Unlock()

	select {
	case <-done:
		s.mu.Lock()
		select {
		case <-ready:
			// Acquired the semaphore after we were canceled.
			// Pretend we didn't and put the tokens back.
			s.cur -= n

	tail    []*wantConn
}

// len returns the number of items in the queue.
func (q *wantConnQueue) len() int {
	return len(q.head) - q.headPos + len(q.tail)
}

// pushBack adds w to the back of the queue.
func (q *wantConnQueue) pushBack(w *wantConn) {
	q.tail = append(q.tail, w)
}

// popFront removes and returns the wantConn at the front of the queue.
func (q *wantConnQueue) popFront() *wantConn {

	// lock.
	if atomic.Load(&gcBlackenEnabled) == 0 {
		unlock(&work.assistQueue.lock)
		return true
	}

	gp := getg()
	oldList := work.assistQueue.q
	work.assistQueue.q.pushBack(gp)

	// Recheck for background credit now that this G is in
	// the queue, but can still back out. This avoids a
	// race in case background marking has flushed more
	// credit since we checked above.

	}
	pInfo := obj.(*framework.QueuedPodInfo)
	pInfo.Attempts++
	p.schedulingCycle++
	// In flight, no concurrent events yet.
	if p.isSchedulingQueueHintEnabled {
		p.inFlightPods[pInfo.Pod.UID] = p.inFlightEvents.PushBack(pInfo.Pod)
	}

	// Update metrics and reset the set of unschedulable plugins for the next attempt.
	for plugin := range pInfo.UnschedulablePlugins.Union(pInfo.PendingPlugins) {

}

// push adds gp to the head of q.
func (q *gQueue) push(gp *g) {
	gp.schedlink = q.head
	q.head.set(gp)
	if q.tail == 0 {
		q.tail.set(gp)
	}
}

// pushBack adds gp to the tail of q.
func (q *gQueue) pushBack(gp *g) {
	gp.schedlink = 0
	if q.tail != 0 {
		q.tail.ptr().schedlink.set(gp)
	} else {
		q.head.set(gp)
	}
	q.tail.set(gp)
}

                                   std::vector<Output>* grad_outputs) {
  grad_outputs->push_back(Identity(scope, grad_inputs[0]));
  grad_outputs->push_back(NoGradient());
  grad_outputs->push_back(NoGradient());
  grad_outputs->push_back(NoGradient());
  return scope.status();
}
REGISTER_GRADIENT_OP("QuantizeAndDequantizeV3", QuantizeAndDequantizeV3Grad);

  grad_outputs->push_back(internal::ScaleAndTranslateGrad(
      scope, grad_inputs[0], op.input(0), op.input(2), op.input(3),
      internal::ScaleAndTranslateGrad::KernelType(kernel_type)
          .Antialias(antialias)));

  grad_outputs->push_back(NoGradient());
  grad_outputs->push_back(NoGradient());
  grad_outputs->push_back(NoGradient());
  return scope.status();
}

                epsilon, data_format, is_training));
        grad_outputs->push_back(grad.x_backprop);
        grad_outputs->push_back(grad.scale_backprop);
        grad_outputs->push_back(grad.offset_backprop);
        grad_outputs->push_back(NoGradient());
        grad_outputs->push_back(NoGradient());
        return scope.status();
      },
      grad_outputs);
}

    grad_outputs->push_back(dx);
    auto dy =
        MatMul(scope, y0, y1, MatMul::TransposeA(adj_y0).TransposeB(adj_y1));
    grad_outputs->push_back(dy);
  } else {
    auto dx = BatchMatMulV3(scope, x0, x1, x_data_type,
                            BatchMatMulV3::AdjX(adj_x0).AdjY(adj_x1));
    grad_outputs->push_back(dx);
    auto dy = BatchMatMulV3(scope, y0, y1, y_data_type,

          for (size_t i = 0; i < vector.size(); i++) {
            vec.push_back(vector[i].AsInt64());
          }
          std::vector<int64_t> shape;
          if (std::string{key} == "padding") {
            shape.push_back(vec.size() / 2);
            shape.push_back(2);
          } else {
            shape.push_back(vec.size());
          }
          Attribute value;