TF_TString_Init(&tstr[0]);
  TF_TString_Copy(&tstr[0], test_string, sizeof(test_string) - 1);

  auto deallocator = [](void* data, size_t len, void* arg) {};
  unique_tensor_ptr t_in(TF_NewTensor(TF_STRING, nullptr, 0, &tstr[0],
                                      sizeof(tstr), deallocator, nullptr),
                         TF_DeleteTensor);

  // Create a TF_Operation with the attribute t_in

/// `plugin_memory_free` members.
///
/// All memory allocated by the plugin that will be owned by core TensorFlow
/// must be allocated using the allocator in this structure. Core TensorFlow
/// will use the deallocator to free this memory once it no longer needs it.
///
/// IMPORTANT: To maintain binary compatibility, the layout of this structure

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Memory allocator.
//
// This was originally based on tcmalloc, but has diverged quite a bit.
// http://goog-perftools.sourceforge.net/doc/tcmalloc.html

// The main allocator works in runs of pages.
// Small allocation sizes (up to and including 32 kB) are
// rounded to one of about 70 size classes, each of which

	}

	spanalloc              fixalloc // allocator for span*
	cachealloc             fixalloc // allocator for mcache*
	specialfinalizeralloc  fixalloc // allocator for specialfinalizer*
	specialprofilealloc    fixalloc // allocator for specialprofile*
	specialReachableAlloc  fixalloc // allocator for specialReachable
	specialPinCounterAlloc fixalloc // allocator for specialPinCounter

}
#undef EXPECT_TF_SIZE

class DummyDevice : public DeviceBase {
 public:
  explicit DummyDevice(Env* env) : DeviceBase(env) {}
  Allocator* GetAllocator(AllocatorAttributes /*attr*/) override {
    return cpu_allocator();
  }
};

TEST(TestKernel, TestInputAndOutputCount) {
  const char* node_name = "InputOutputCounterKernel";

	// to spend on scavenging in percent.
	scavengePercent = 1 // 1%

	// retainExtraPercent represents the amount of memory over the heap goal
	// that the scavenger should keep as a buffer space for the allocator.
	// This constant is used when we do not have a memory limit set.
	//
	// The purpose of maintaining this overhead is to have a greater pool of
	// unscavenged memory available for allocation (since using scavenged memory

// Register allocation.
//
// We use a version of a linear scan register allocator. We treat the
// whole function as a single long basic block and run through
// it using a greedy register allocator. Then all merge edges
// (those targeting a block with len(Preds)>1) are processed to
// shuffle data into the place that the target of the edge expects.
//
// The greedy allocator moves values into registers just before they

	triggerRatioDen = 64

	// The minimum trigger constant was chosen empirically: given a sufficiently
	// fast/scalable allocator with 48 Ps that could drive the trigger ratio
	// to <0.05, this constant causes applications to retain the same peak
	// RSS compared to not having this allocator.
	minTriggerRatioNum = 45 // ~0.7

	// The maximum trigger constant is chosen somewhat arbitrarily, but the

var verboseAST = map[byte]AST{
	't': &Name{Name: "std"},
	'a': &Qualified{Scope: &Name{Name: "std"}, Name: &Name{Name: "allocator"}},
	'b': &Qualified{Scope: &Name{Name: "std"}, Name: &Name{Name: "basic_string"}},

	// std::basic_string<char, std::char_traits<char>, std::allocator<char> >
	's': &Template{
		Name: &Qualified{Scope: &Name{Name: "std"}, Name: &Name{Name: "basic_string"}},
		Args: []AST{

	persistentvolumeconfig "k8s.io/kubernetes/pkg/controller/volume/persistentvolume/config"
)

var args = []string{
	"--allocate-node-cidrs=true",
	"--attach-detach-reconcile-sync-period=30s",
	"--cidr-allocator-type=CloudAllocator",
	"--cloud-config=/cloud-config",
	"--cloud-provider=gce",
	"--cluster-cidr=1.2.3.4/24",
	"--cluster-name=k8s",
	"--cluster-signing-cert-file=/cluster-signing-cert",