template <typename Gradient, typename BackwardFunction, typename TapeTensor>
class VSpace {
 public:
  virtual ~VSpace() {}

  // Returns the number of elements in the gradient tensor.
  virtual int64_t NumElements(Gradient* tensor) const = 0;

  // Consumes references to the tensors in the gradient_tensors list and returns
  // a tensor with the result.
  virtual Gradient* AggregateGradients(

	codecs = runtimeserializer.NewCodecFactory(scheme)
}

func fuzzAPIGroups(atLeastNumGroups, maxNumGroups int, seed int64) apidiscoveryv2.APIGroupDiscoveryList {
	fuzzer := fuzz.NewWithSeed(seed)
	fuzzer.NumElements(atLeastNumGroups, maxNumGroups)
	fuzzer.NilChance(0)
	fuzzer.Funcs(func(o *apidiscoveryv2.APIGroupDiscovery, c fuzz.Continue) {
		c.FuzzNoCustom(o)

		// The ResourceManager will just not serve the group if its versions

          }
          dim {
            size: 1
          }
        }
        float_val: 0.6666667
      }
    }
  }
}
node {
  name: "loss_1/activation_49_loss/num_elements/Cast"
  op: "Const"
  input: "^loss_1/activation_49_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits"
  device: "/job:localhost/replica:0/task:0/device:GPU:0"
  attr {

    std::vector<Tensor> grad_result;
    TF_EXPECT_OK(
        session.Run({{x, {-3.0f, 0.0f, 3.0f}}}, grad_outputs, &grad_result));
    EXPECT_EQ(grad_result.size(), 1);
    EXPECT_EQ(grad_result[0].NumElements(), 3);
    EXPECT_EQ(grad_result[0].flat<float>()(0), 0.0f);
    EXPECT_EQ(grad_result[0].flat<float>()(1), 0.0f);
    EXPECT_EQ(grad_result[0].flat<float>()(2), 0.0f);
  }
}

	if err == nil || !errors.IsAlreadyExists(err) {
		t.Error("Expected already exists error")
	}
}

func TestNewCreateOptionsFromUpdateOptions(t *testing.T) {
	f := fuzz.New().NilChance(0.0).NumElements(1, 1)

	// The goal here is to trigger when any changes are made to either
	// CreateOptions or UpdateOptions types, so we can update the converter.
	for i := 0; i < 20; i++ {
		in := &metav1.UpdateOptions{}

}

type CertTrustListInfo struct {
	// Not implemented
}

type CertSimpleChain struct {
	Size                       uint32
	TrustStatus                CertTrustStatus
	NumElements                uint32
	Elements                   **CertChainElement
	TrustListInfo              *CertTrustListInfo
	HasRevocationFreshnessTime uint32
	RevocationFreshnessTime    uint32
}

    status->status = result;
    return;
  }

  // Store results in c_outputs[]
  for (int i = 0; i < noutputs; ++i) {
    const Tensor& src = outputs[i];
    if (!src.IsInitialized() || src.NumElements() == 0) {
      c_outputs[i] =
          EmptyTensor(static_cast<TF_DataType>(src.dtype()), src.shape());
      continue;
    }
    c_outputs[i] = TF_TensorFromTensor(src, &status->status);

	seed := int64(5577006791947779410)
	f := fuzzer.FuzzerFor(fuzzerFuncs, rand.NewSource(seed), codecs)
	// fuzz internal types
	schema := &apiextensions.JSONSchemaProps{}
	f.NilChance(0).NumElements(10, 10).MaxDepth(10).Fuzz(schema)

	b.ReportAllocs()
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		if SchemaHas(schema, func(_ *apiextensions.JSONSchemaProps) bool {
			return false
		}) {

		{"CertRevocationInfo.Size", Field, 0},
		{"CertSimpleChain", Type, 0},
		{"CertSimpleChain.Elements", Field, 0},
		{"CertSimpleChain.HasRevocationFreshnessTime", Field, 0},
		{"CertSimpleChain.NumElements", Field, 0},
		{"CertSimpleChain.RevocationFreshnessTime", Field, 0},
		{"CertSimpleChain.Size", Field, 0},
		{"CertSimpleChain.TrustListInfo", Field, 0},
		{"CertSimpleChain.TrustStatus", Field, 0},

pkg syscall (windows-386), type CertSimpleChain struct, Elements **CertChainElement
pkg syscall (windows-386), type CertSimpleChain struct, HasRevocationFreshnessTime uint32
pkg syscall (windows-386), type CertSimpleChain struct, NumElements uint32
pkg syscall (windows-386), type CertSimpleChain struct, RevocationFreshnessTime uint32
pkg syscall (windows-386), type CertSimpleChain struct, Size uint32