namespace tensorflow {

Variable::Variable(ImmediateExecutionContext* ctx, DataType dtype,
                   TensorShape shape, absl::optional<std::string> name,
                   ImmediateTensorHandlePtr handle)
    : TensorHandleConvertible(std::move(handle)),
      name_(name.has_value() ? *name : "Variable"),
      dtype_(dtype),
      shape_(shape),
      ctx_(ctx) {}

Variable::~Variable() {

// Public interface.

// Matches a node with name `name`.
impl::NodeMatcherProperties Name(string name);

// Matches a node with op `op`.
impl::NodeMatcherProperties Op(string op);

// Matches a node with assigned device `assigned_device`.
impl::NodeMatcherProperties AssignedDevice(string assigned_device);

// Matches a node with a boolean typed attribute named `name` and with value
// `value`.

  TempFile(const std::string& temp_file_name, std::ios::openmode mode);
  TempFile(TempFile&& rhs);
  ~TempFile() override;
  const std::string getName() const;
  bool truncate();

 private:
  const std::string name_;
};

namespace tensorflow {
namespace generator {

AttrSpec AttrSpec::Create(const OpDef::AttrDef& attr_def) {
  return AttrSpec(attr_def);
}

AttrSpec::AttrSpec(const OpDef::AttrDef& attr_def) {
  name_ = attr_def.name();
  description_ = attr_def.description();
  full_type_ = attr_def.type();
  default_value_ = attr_def.default_value();
  if (str_util::StartsWith(full_type_, "list(")) {
    is_list_ = true;

  std::shared_ptr<bool> scope_used_ = nullptr;

  const std::vector<Operation> control_deps_;

  // The fully-qualified name of this scope (i.e. includes any parent scope
  // names).
  const string name_ = "";
  const string op_name_ = "";
  const bool exit_on_error_ = false;
  const string kernel_label_ = "";
  const string device_ = "";
  const string assigned_device_ = "";

#include "tensorflow/c/experimental/ops/gen/model/arg_spec.h"

namespace tensorflow {
namespace generator {

ArgSpec::ArgSpec(const OpDef::ArgDef& arg_def, ArgType arg_type, int position)
    : name_(arg_def.name()),
      description_(arg_def.description()),
      arg_type_(arg_type),
      position_(position) {}

ArgSpec ArgSpec::CreateInput(const OpDef::ArgDef& arg_def, int position) {
  if (arg_def.is_ref()) {

namespace tensorflow {

// SignatureDefParam represents a named Tensor input or output to a
// SignatureDefFunction.
class SignatureDefParam {
 public:
  SignatureDefParam(std::string name, TensorSpec spec);

  const std::string& name() const;

  const TensorSpec& spec() const;

 private:
  std::string name_;
  TensorSpec spec_;
};

class SignatureDefFunctionMetadata {
 public:

                     SP_TimerFns timer_fns);
  ~CPlatform() override;

  Id id() const override { return const_cast<int*>(&plugin_id_value_); }
  const std::string& Name() const override { return name_; }
  int VisibleDeviceCount() const override {
    int visible_device_count = 0;
    tensorflow::TF_StatusPtr c_status(TF_NewStatus());
    platform_fns_.get_device_count(&platform_, &visible_device_count,

// "execution" of operation, i.e. adding them to the function.
class GraphContext : public TracingContext {
 public:
  explicit GraphContext(const char* name)
      : TracingContext(kGraph),
        graph_(new TF_Graph(), TF_DeleteGraph),
        name_(name) {}

  void Release() override { delete this; }

  TracingOperation* CreateOperation() override {
    return new GraphOperation(graph_.get());
  }

namespace tensorflow {
namespace generator {

OpSpec OpSpec::Create(const OpDef& op_def, const ApiDef& api_def) {
  return OpSpec(op_def, api_def);
}

OpSpec::OpSpec(const OpDef& op_def, const ApiDef& api_def)
    : name_(op_def.name()),
      summary_(api_def.summary()),
      description_(api_def.description()) {
  absl::flat_hash_set<string> inferred_attrs;
  // Parse the arguments
  for (const OpDef::ArgDef& arg_def : op_def.input_arg()) {