TF_ImportGraphDefOptionsAddInputMapping(opts, "scalar", 0, {scalar, 0});
  TF_ImportGraphDefOptionsAddReturnOutput(opts, "feed", 0);
  TF_ImportGraphDefOptionsAddReturnOutput(opts, "scalar", 0);
  EXPECT_EQ(2, TF_ImportGraphDefOptionsNumReturnOutputs(opts));
  TF_ImportGraphDefOptionsAddReturnOperation(opts, "scalar");
  EXPECT_EQ(1, TF_ImportGraphDefOptionsNumReturnOperations(opts));

cond: A Tensor. If the tensor is a scalar of non-boolean type, the
    scalar is converted to a boolean according to the
    following rule: if the scalar is a numerical value, non-zero means
    True and zero means False; if the scalar is a string, non-empty
    means True and empty means False. If the tensor is not a scalar,
    being empty means False and being non-empty means True.

  Run({{func_feed, Int32Tensor(3)}}, func_op, 2 + 3);
  VerifyFDef(
      {"add_0", "scalar"}, M({{"feed1"}, {"feed2"}}), M({{"add"}}),
      {{"feed1", "add_0:0"}, {"feed2", "add_0:1"}, {"add_0:sum:0", "add"}},
      {{"^scalar", "add_0:2"}});
}

TEST_F(CApiFunctionTest, ControlDependencyOutsideOfBody) {
  /*
   *                  |  |    scalar
   *                  |  |    .
   *                  v  v   . <---- control dependency

    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);
}

std::string ExpectedString(const char* type) {

    }
  }
  return indexes;
}

// Creates a slice of the tensorlist `input_list`, starting from
// [start_index, 0, ...0], with size [size, -1, ...-1].
//
// Requires that `start_index` and `size` are scalar tensors and
// `item_position_shape` is a 1-D tensor with only one element equal to the rank
// of an item in the tensorlist.
TF::SliceOp CreateSliceOpForTensorList(Location loc, Value input_list,

// described by bitmaps with 1 bit per pointer-sized word. A "1" bit
// means the word is a live pointer to be visited by the GC (referred to
// as "pointer"). A "0" bit means the word should be ignored by GC
// (referred to as "scalar", though it could be a dead pointer value).
//
// Heap bitmaps
//
// The heap bitmap comprises 1 bit for each pointer-sized word in the heap,
// recording whether a pointer is stored in that word or not. This bitmap

	return t.IsInterface() && len(t.AllMethods()) == 0
}

// IsScalar reports whether 't' is a scalar Go type, e.g.
// bool/int/float/complex. Note that struct and array types consisting
// of a single scalar element are not considered scalar, likewise
// pointer types are also not considered scalar.
func (t *Type) IsScalar() bool {
	switch t.kind {
	case TBOOL, TINT8, TUINT8, TINT16, TUINT16, TINT32,

TEST(XlaCompilationTest, HalfSupported) {
  std::unique_ptr<Graph> graph(new Graph(OpRegistry::Global()));
  {
    GraphDefBuilder builder(GraphDefBuilder::kFailImmediately);
    Tensor t(DT_HALF, TensorShape());
    t.scalar<Eigen::half>()() = static_cast<Eigen::half>(0.0f);
    Node* a = ops::SourceOp("Const", builder.opts()
                                         .WithName("A")
                                         .WithAttr("dtype", DT_HALF)

    tf_device.return
  }) : () -> ()
  func.return
}

// Test that tf.ResourceScatterAdd operation is decomposed to
// tf.TensorScatterAdd. Updates is scalar.
// CHECK-LABEL: @decompose_ResourceScatterAdd_op_with_scalar_updates
func.func @decompose_ResourceScatterAdd_op_with_scalar_updates(%resource : tensor<*x!tf_type.resource>, %indices : tensor<?xi32>, %updates: tensor<i32>) {

      TF_RETURN_IF_ERROR(GetNodeAttr(node->def(), "value", &proto));

      Tensor tensor(proto->dtype());
      TF_RET_CHECK(tensor.FromProto(*proto));

      *predicate = tensor.scalar<bool>()() ? MakeTrue() : MakeFalse();
      return absl::OkStatus();
    }

    SignatureForSymbol signature = {tensor_id, must_be_true};
    auto it = interned_symbol_instances_.find(signature);