for (int device_index = 0; device_index < num_underlying_devices();
       ++device_index) {
    auto device_value = absl::make_unique<DataType>();
    *device_value = values[device_index];
    std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> tensor(
        TF_NewTensor(
            datatype_enum, /*dims=*/nullptr, /*num_dims=*/0,
            device_value.release(), sizeof(DataType),
            [](void* data, size_t, void* arg) {

#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/test.h"

using ::tensorflow::string;

typedef std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)>
    unique_tensor_ptr;

TF_Tensor* BoolTensor(int32_t v);

// Create a tensor with values of type TF_INT8 provided by `values`.

  TFE_DeleteTensorHandle(m);
  TFE_DeleteContext(ctx);
  TF_DeleteStatus(status);
}

TEST(CAPI, TensorHandleNullptr) {
  TFE_TensorHandle* h = nullptr;
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);

  const char* device_type = TFE_TensorHandleDeviceType(h, status.get());
  ASSERT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(status.get()));

    EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  }
  TF_DeleteDeviceList(devices);
  TF_DeleteStatus(status);
}

TEST(CAPI, TensorHandle) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);
  TFE_ContextOptions* opts = TFE_NewContextOptions();
  TFE_Context* ctx = TFE_NewContext(opts, status.get());

}

// Decltype is the decltype operator.
type Decltype struct {
	Expr AST
}

func (dt *Decltype) print(ps *printState) {
	ps.writeString("decltype")
	if !ps.llvmStyle {
		ps.writeString(" ")
	}
	ps.startScope('(')
	ps.print(dt.Expr)
	ps.endScope(')')
}

func (dt *Decltype) Traverse(fn func(AST) bool) {
	if fn(dt) {

// if their schema is not exposed.
//
// The CEL declaration for objects with XPreserveUnknownFields does not expose unknown fields.
func SchemaDeclType(s Schema, isResourceRoot bool) *apiservercel.DeclType {
	if s == nil {
		return nil
	}
	if s.IsXIntOrString() {
		// schemas using XIntOrString are not required to have a type.

// the created lambda functor class.
template <typename TLambda>
class CallableWrapperUnpackArgs
    : public CallableWrapperUnpackArgs<decltype(&TLambda::operator())> {
 public:
  CallableWrapperUnpackArgs(TLambda fn, const char* name)
      : CallableWrapperUnpackArgs<decltype(&TLambda::operator())>(fn, name) {}
};

// This specialization unpacks the arguments from a normal function pointer.

//	         ::= <template-prefix> <template-args>
//	         ::= <template-param>
//	         ::= <decltype>
//	         ::=
//	         ::= <substitution>
//
//	<template-prefix> ::= <prefix> <(template) unqualified-name>
//	                  ::= <template-param>
//	                  ::= <substitution>
//
//	<decltype> ::= Dt <expression> E
//	           ::= DT <expression> E
func (st *state) prefix() AST {
	var a AST

  }
  // For LLVM style RTTI.
  static bool classof(const AbstractContext* ptr) {
    return ptr->getKind() == kGraph;
  }

 private:
  std::unique_ptr<TF_Graph, decltype(&TF_DeleteGraph)> graph_;
  std::vector<TF_Output> inputs_;
  string name_;
};

static TracingContext* GraphTracingFactory(const char* name, TF_Status* s) {
  return new GraphContext(name);
}

}

void CheckTFE_TensorHandleHasFloats(TFE_TensorHandle* handle,
                                    const std::vector<float>& expected_values) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);
  TF_Tensor* t = TFE_TensorHandleResolve(handle, status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());