}                                                                            \
                                                                               \
  inline const cpp_impl *unwrap(const wrapper *w) {                            \
    return reinterpret_cast<const cpp_impl *>(w);                              \
  }                                                                            \

class CheckpointReader {
 public:
  CheckpointReader(const string& filename, TF_Status* status);

  bool HasTensor(const string& name) const;
  const string DebugString() const;

  // Returns a map from variable names to their shapes.  Slices of a partitioned
  // tensor are combined into a single entry.
  const TensorSliceReader::VarToShapeMap& GetVariableToShapeMap() const;

  // operations specified (0).
  void DefineT(int num_opers, const std::vector<TF_Operation*>& opers,
               const std::vector<TF_Output>& inputs,
               const std::vector<TF_Output>& outputs,
               const std::vector<string>& output_names,
               bool expect_failure = false) {
    ASSERT_EQ(func_, nullptr);
    const char** output_names_ptr = ToArray(output_names);

internal object ObjectIdentifiers {
  const val EC_PUBLIC_KEY = "1.2.840.10045.2.1"
  const val SHA256_WITH_ECDSA = "1.2.840.10045.4.3.2"
  const val RSA_ENCRYPTION = "1.2.840.113549.1.1.1"
  const val SHA256_WITH_RSA_ENCRYPTION = "1.2.840.113549.1.1.11"
  const val SUBJECT_ALTERNATIVE_NAME = "2.5.29.17"
  const val BASIC_CONSTRAINTS = "2.5.29.19"
  const val COMMON_NAME = "2.5.4.3"
  const val ORGANIZATIONAL_UNIT_NAME = "2.5.4.11"

[
	uuid(4fc742e0-4a10-11cf-8273-00aa004ae673),
	version(3.0)
]
interface netdfs
{
	import "../rpc.idl";

	const uint32_t DFS_VOLUME_FLAVOR_STANDALONE = 0x100;
	const uint32_t DFS_VOLUME_FLAVOR_AD_BLOB = 0x200;

	const uint32_t DFS_STORAGE_STATE_OFFLINE = 0x0001;
	const uint32_t DFS_STORAGE_STATE_ONLINE = 0x0002;
	const uint32_t DFS_STORAGE_STATE_ACTIVE = 0x0004;

	typedef struct {
		[string] wchar_t *entry_path;
	} DfsInfo1;

                       subdiv_offsets.size());

  return op;
}

TFE_Op* SendOp(TFE_Context* ctx, TFE_TensorHandle* in,
               const std::string& op_name, const std::string& send_device,
               const std::string& recv_device,
               tensorflow::uint64 send_device_incarnation) {
  TF_Status* status = TF_NewStatus();
  TFE_Op* op = TFE_NewOp(ctx, op_name.c_str(), status);

namespace tensorflow {
namespace {

TFE_MonitoringCounter0* CreateCounter0(const char* counter_name);
TFE_MonitoringCounter1* CreateCounter1(const char* counter_name,
                                       const char* label);
void IncrementCounter0(TFE_MonitoringCounter0* counter, int64_t delta = 1);
void IncrementCounter1(TFE_MonitoringCounter1* counter, const char* label,
                       int64_t delta = 1);

[
	uuid(4fc742e0-4a10-11cf-8273-00aa004ae673),
	version(3.0)
]
interface netdfs
{
	import "../rpc.idl";

	const uint32_t DFS_VOLUME_FLAVOR_STANDALONE = 0x100;
	const uint32_t DFS_VOLUME_FLAVOR_AD_BLOB = 0x200;

	const uint32_t DFS_STORAGE_STATE_OFFLINE = 0x0001;
	const uint32_t DFS_STORAGE_STATE_ONLINE = 0x0002;
	const uint32_t DFS_STORAGE_STATE_ACTIVE = 0x0004;

	typedef struct {
		[string] wchar_t *entry_path;
	} DfsInfo1;

     */
    async progress(line) {
        const progressLength = line.getAttribute(`${this.pfx}-progressLength`)
            || this.progressLength;
        const progressChar = line.getAttribute(`${this.pfx}-progressChar`)
            || this.progressChar;
        const chars = progressChar.repeat(progressLength);
		const progressPercent = line.getAttribute(`${this.pfx}-progressPercent`)

     * uses 10 MiB).
     */
    const val DEFAULT_INITIAL_WINDOW_SIZE = 65535

    /** HTTP/2: Size in bytes of the table used to decode the sender's header blocks. */
    const val HEADER_TABLE_SIZE = 1

    /** HTTP/2: The peer must not send a PUSH_PROMISE frame when this is 0. */
    const val ENABLE_PUSH = 2

    /** Sender's maximum number of concurrent streams. */
    const val MAX_CONCURRENT_STREAMS = 4