pkg crypto/tls, const TLS_AES_128_GCM_SHA256 = 4865
pkg crypto/tls, const TLS_AES_128_GCM_SHA256 uint16
pkg crypto/tls, const TLS_AES_256_GCM_SHA384 = 4866
pkg crypto/tls, const TLS_AES_256_GCM_SHA384 uint16
pkg crypto/tls, const TLS_CHACHA20_POLY1305_SHA256 = 4867
pkg crypto/tls, const TLS_CHACHA20_POLY1305_SHA256 uint16
pkg crypto/tls, const VersionTLS13 = 772
pkg crypto/tls, const VersionTLS13 ideal-int

  }

  tensorflow::unwrap(op)->Release();
}

const char* TFE_OpGetName(const TFE_Op* op, TF_Status* status) {
  return tensorflow::unwrap(op)->Name().c_str();
}

TFE_Context* TFE_OpGetContext(const TFE_Op* op, TF_Status* status) {
  return tensorflow::wrap(tensorflow::unwrap(op)->GetContext());
}

void TFE_OpSetDevice(TFE_Op* op, const char* device_name, TF_Status* status) {

    return result
  }

  override fun toString(): String = "$tagClass/$tag"

  companion object {
    const val TAG_CLASS_UNIVERSAL = 0b0000_0000
    const val TAG_CLASS_APPLICATION = 0b0100_0000
    const val TAG_CLASS_CONTEXT_SPECIFIC = 0b1000_0000
    const val TAG_CLASS_PRIVATE = 0b1100_0000

    const val TAG_END_OF_CONTENTS = 0L
  }

	V2     = ptwo.G()
)

// Variables with conversions:
var (
	StrConv  = string("foo")
	ByteConv = []byte("foo")
)

var ChecksumError = ptwo.NewError("gzip checksum error")

const B0 = 2
const StrConst = "foo"
const FloatConst = 1.5

type myInt int

type MyInt int

type Time struct{}

type S struct {
	// Deprecated: use PublicTime.
	Public     *int
	private    *int
	PublicTime Time
}

pkg testing, type InternalFuzzTarget struct, Fn func(*F)
pkg testing, type InternalFuzzTarget struct, Name string
pkg text/template/parse, const NodeBreak = 21
pkg text/template/parse, const NodeBreak NodeType
pkg text/template/parse, const NodeContinue = 22
pkg text/template/parse, const NodeContinue NodeType
pkg text/template/parse, method (*BreakNode) Copy() Node
pkg text/template/parse, method (*BreakNode) String() string

                                              const char* target_device_name,
                                              TF_Status* status,
                                              void* device_info) {
  TF_SetStatus(status, TF_INTERNAL,
               "Trying to copy a tensor out of a logging device.");
  return nullptr;
}

void LoggingDeviceExecute(const TFE_Op* original_op, int* num_outputs,

  // execution.
  virtual absl::Status EnableCollectiveOps(const ServerDef& server_def) = 0;

  // Check if the remote task is alive.
  virtual absl::Status CheckRemoteAlive(const std::string& remote_task_name,
                                        bool* is_alive) = 0;

  // Get pointer to the coordination service agent instance.

                         absl::Span<AbstractTensorHandle* const> inputs,
                         absl::Span<AbstractTensorHandle*> outputs) {
  return ops::MatMul(ctx, inputs[0], inputs[1], &outputs[0],
                     /*transpose_a=*/false,
                     /*transpose_b=*/false, "MatMul");
}

absl::Status MulModel(AbstractContext* ctx,
                      absl::Span<AbstractTensorHandle* const> inputs,

      : error_node_(error_node), error_device_(error_device) {}
  absl::Status Run(const std::string& function_name,
                   const tensorflow::DeviceSet& device_set,
                   const tensorflow::ConfigProto& config_proto,
                   const FunctionOptions& function_options,
                   std::unique_ptr<tensorflow::Graph>* graph,

  // Returns the device which created the handle.
  virtual const char* DeviceName(absl::Status* status) const = 0;
  // Returns the device where the tensor was placed.
  virtual const char* BackingDeviceName(absl::Status* status) const = 0;
  // Returns the device type which created the handle.
  virtual const char* DeviceType(absl::Status* status) const = 0;