pkg crypto/tls, const PKCS1WithSHA1 = 513
pkg crypto/tls, const PKCS1WithSHA1 SignatureScheme
pkg crypto/tls, const PKCS1WithSHA256 = 1025
pkg crypto/tls, const PKCS1WithSHA256 SignatureScheme
pkg crypto/tls, const PKCS1WithSHA384 = 1281
pkg crypto/tls, const PKCS1WithSHA384 SignatureScheme
pkg crypto/tls, const PKCS1WithSHA512 = 1537
pkg crypto/tls, const PKCS1WithSHA512 SignatureScheme

pkg crypto/mlkem, const CiphertextSize1024 = 1568 #70122
pkg crypto/mlkem, const CiphertextSize1024 ideal-int #70122
pkg crypto/mlkem, const CiphertextSize768 = 1088 #70122
pkg crypto/mlkem, const CiphertextSize768 ideal-int #70122
pkg crypto/mlkem, const EncapsulationKeySize1024 = 1568 #70122
pkg crypto/mlkem, const EncapsulationKeySize1024 ideal-int #70122
pkg crypto/mlkem, const EncapsulationKeySize768 = 1184 #70122

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) {

pkg crypto/x509, method (KeyUsage) String() string #56866
pkg debug/elf, const R_LARCH_CALL36 = 110 #75562
pkg debug/elf, const R_LARCH_CALL36 R_LARCH #75562
pkg debug/elf, const R_LARCH_TLS_DESC32 = 13 #75562
pkg debug/elf, const R_LARCH_TLS_DESC32 R_LARCH #75562
pkg debug/elf, const R_LARCH_TLS_DESC64 = 14 #75562
pkg debug/elf, const R_LARCH_TLS_DESC64 R_LARCH #75562
pkg debug/elf, const R_LARCH_TLS_DESC64_HI12 = 118 #75562

                       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);

                      device_name, "\")");
}

absl::Status ImmediateExecutionTensorHandle::SummarizeValue(
    std::string& summary) const {
  absl::Status status;
  AbstractTensorPtr resolved(
      // TODO(allenl): Resolve should be const, and the caches that get updated
      // marked mutable.
      const_cast<ImmediateExecutionTensorHandle*>(this)->Resolve(&status));
  if (!status.ok()) {
    return status;

		}
	}
	return foundSet.ToSlice()
}

// hostsSorted will return all hosts found.
// The LOCAL host will be nil, but the indexes of all hosts should
// remain consistent across the cluster.
func (l EndpointServerPools) hostsSorted() []*xnet.Host {
	peers, localPeer := l.peers()
	sort.Strings(peers)
	hosts := make([]*xnet.Host, len(peers))
	for i, hostStr := range peers {
		if hostStr == localPeer {

[
	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;

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

  bool HasTensor(const std::string& name) const;
  const std::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;