}
    node: {
      name: "input1"
      op: "Placeholder"
      attr: {
        key: "dtype"
        value: {
          type: DT_INT32
        }
      }
    }
    node: {
      name: "batch_func"
      op: "BatchFunction"
      input: ["input1"]
      attr: {
        key: "Tcaptured"
        value: {
          list: {
            type: []
          }
        }
      }
      attr: {

  %0 = "tf.BatchFunction"(%arg0, %arg1) {f = @batched_func, num_batch_threads = 1 : i64, max_batch_size = 2 : i64, batch_timeout_micros = 10000 : i64, operandSegmentSizes = array<i32: 1, 1>} : (tensor<1xf32>, tensor<1xf32>) -> (tensor<1xf32>)
  return %0 : tensor<1xf32>
}
// The contents of `@serving_default` should have been inlined to `@batch_func`.

  // Make sure that `operandSegmentSizes` attribute is also updated.
  // CHECK-NEXT: %[[BATCH_FUNC:.*]]:2 = "tf.BatchFunction"(%[[ARG_1]]) <{{{.*operandSegmentSizes = array<i32: 1, 0>.*}}}> : (tensor<1xf32>) -> (tensor<*xf32>, tensor<*xf32>)
  // CHECK: return %[[BATCH_FUNC]]#0, %[[BATCH_FUNC]]#1 : tensor<*xf32>, tensor<*xf32>

      // CHECK: tfrt_fallback_async.batch_function device([[DEVICE:.*]]) @batched_func ([[BATCHED_FUNC_ARG:%.*]])
      // CHECK-SAME: Tcaptured = [!corert.resource]
      // CHECK-SAME: Tin = []
      // CHECK-SAME: Tout = [f32]

	// accept partial match that may produce full match later.
	ok, partial = m.filter.matches(elem, m.matchFunc)
	if !ok {
		return name, false, false
	}

	// skip must not match.
	// ignore partial match so we can get to more precise match later.
	skip, partialSkip := m.skip.matches(elem, m.matchFunc)
	if skip && !partialSkip {
		return name, false, false
	}

	return name, ok, partial
}

					options.FieldSelector = opts.FieldSelector
					options.LabelSelector = opts.LabelSelector
					return c.Dynamic().Resource(g).Namespace(opts.Namespace).List(context.Background(), options)
				},
				WatchFunc: func(options metav1.ListOptions) (watch.Interface, error) {
					options.FieldSelector = opts.FieldSelector
					options.LabelSelector = opts.LabelSelector

		return c.listObject(namespace, options)
	}
	watchFunc := func(options metav1.ListOptions) (watch.Interface, error) {
		options.FieldSelector = fieldSelector
		return c.watchObject(namespace, options)
	}
	store := c.newStore()
	reflector := cache.NewReflectorWithOptions(
		&cache.ListWatch{ListFunc: listFunc, WatchFunc: watchFunc},
		c.newObject(),
		store,
		cache.ReflectorOptions{

                            ConversionPatternRewriter *rewriter) const {
    auto guard = OpBuilder::InsertionGuard(*rewriter);
    auto inputs = branch_func.getFunctionType().getInputs();
    Block *block = rewriter->createBlock(
        &branch_func.getBody(), branch_func.begin(), inputs,
        SmallVector<Location>(inputs.size(), branch_func.getLoc()));

				ListFunc: func(options metav1.ListOptions) (runtime.Object, error) {
					options.FieldSelector = opts.FieldSelector
					options.LabelSelector = opts.LabelSelector
					return l(options)
				},
				WatchFunc: func(options metav1.ListOptions) (watch.Interface, error) {
					options.FieldSelector = opts.FieldSelector
					options.LabelSelector = opts.LabelSelector
					return w(options)
				},
			},
			gvrToObject(g),

				if tweakListOptions != nil {
					tweakListOptions(&options)
				}
				return client.ApiextensionsV1().CustomResourceDefinitions().List(context.TODO(), options)
			},
			WatchFunc: func(options metav1.ListOptions) (watch.Interface, error) {
				if tweakListOptions != nil {
					tweakListOptions(&options)
				}
				return client.ApiextensionsV1().CustomResourceDefinitions().Watch(context.TODO(), options)