TF_Operation* a = Placeholder(graph, s, "A");
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  TF_Operation* b = Placeholder(graph, s, "B");
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  TF_Operation* two = ScalarConst(2, graph, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  TF_Operation* plus2 = Add(a, two, graph, s, "plus2");
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  ASSERT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(status.get()));
  ASSERT_EQ(device_name, nullptr);
  ASSERT_EQ("Invalid handle", string(TF_Message(status.get())));

  TF_SetStatus(status.get(), TF_OK, "");

  int num_dims = TFE_TensorHandleNumDims(h, status.get());
  ASSERT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(status.get()));
  ASSERT_EQ(num_dims, -1);
  ASSERT_EQ("Invalid handle", string(TF_Message(status.get())));

  ASSERT_EQ(1, grads.size());
  ASSERT_EQ(func_name_, grads[0].first);
  ASSERT_EQ("MyGrad", grads[0].second);

  // These calls must be noops
  TF_GraphCopyFunction(host_graph_, func_, grad_func, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  TF_GraphCopyFunction(host_graph_, func_, nullptr, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

  // Delete the gradient func.

  }
};

// This specialization is used when the first argument to ASSERT_EQ()
// is a null pointer literal, like NULL, false, or 0.
template <>
class EqHelper<true> {
 public:
  // We define two overloaded versions of Compare().  The first
  // version will be picked when the second argument to ASSERT_EQ() is
  // NOT a pointer, e.g. ASSERT_EQ(0, AnIntFunction()) or
  // EXPECT_EQ(false, a_bool).

  }
};

// This specialization is used when the first argument to ASSERT_EQ()
// is a null pointer literal, like NULL, false, or 0.
template <>
class EqHelper<true> {
 public:
  // We define two overloaded versions of Compare().  The first
  // version will be picked when the second argument to ASSERT_EQ() is
  // NOT a pointer, e.g. ASSERT_EQ(0, AnIntFunction()) or
  // EXPECT_EQ(false, a_bool).

    TF_EXPECT_OK(status);
    ASSERT_NE(nullptr, kernel.get());

    p.op_kernel = kernel.get();
    OpKernelContext ctx(&p);
    kernel->Compute(&ctx);

    ASSERT_EQ(2, num_inputs);
    ASSERT_EQ(1, num_outputs);
    ASSERT_EQ(123, ctx.mutable_output(0)->scalar<tensorflow::uint8>()());
  }
}

TEST(TestKernel, DeleteKernelBuilderIsOkOnNull) {
  TF_DeleteKernelBuilder(nullptr);
}

  absl::flat_hash_map<string, std::vector<string>> cluster_sets =
      GetClusterSets(*graph);
  ASSERT_EQ(cluster_sets.size(), 1);
  std::vector<string> expected_clustered_nodes = {"AssignmentW", "ReadR",
                                                  "ValueToAssignW"};
  ASSERT_EQ(cluster_sets.begin()->second, expected_clustered_nodes);
}

TEST(XlaCompilationTest, ResourcesClusteringDisallowed) {

	// Build tags separated by a space are OR-ed together.
	assertNot(shouldTest("// +build arm 386", "linux", "amd64"))

	// Build tags separated by a comma are AND-ed together.
	assertNot(shouldTest("// +build !windows,!plan9", "windows", "amd64"))
	assertNot(shouldTest("// +build !windows,!plan9", "plan9", "386"))

	// Build tags on multiple lines are AND-ed together.

		// `KeyMarker` is set, no MultipartInfo expected.
		// ListMultipartUploads doesn't list the parts.
		// `Maxupload` value is asserted.
		{
			MaxUploads: 100,
			KeyMarker:  "orange",
		},
		// listMultipartResults - 4.
		// `KeyMarker` is set, no MultipartInfo expected.
		// Maxupload value is asserted.
		{
			MaxUploads: 1,
			KeyMarker:  "orange",
		},
		// listMultipartResults - 5.

	// RFC 5280, 4.2.1.9:
	// "If the basic constraints extension is not present in a version 3
	// certificate, or the extension is present but the cA boolean is not
	// asserted, then the certified public key MUST NOT be used to verify
	// certificate signatures."
	if parent.Version == 3 && !parent.BasicConstraintsValid ||
		parent.BasicConstraintsValid && !parent.IsCA {