const val INITIAL_MAX_FRAME_SIZE = 0x4000 // 16384

  const val TYPE_DATA = 0x0
  const val TYPE_HEADERS = 0x1
  const val TYPE_PRIORITY = 0x2
  const val TYPE_RST_STREAM = 0x3
  const val TYPE_SETTINGS = 0x4
  const val TYPE_PUSH_PROMISE = 0x5
  const val TYPE_PING = 0x6
  const val TYPE_GOAWAY = 0x7
  const val TYPE_WINDOW_UPDATE = 0x8
  const val TYPE_CONTINUATION = 0x9

-	  ((const char *) (src))[2], ((const char *) (src))[3],		      \
-	  ((const char *) (src))[4], ((const char *) (src))[5] } }),	      \
-     __extension__ ((__STRING2_COPY_ARR7)				      \
-      { { ((const char *) (src))[0], ((const char *) (src))[1],		      \
-	  ((const char *) (src))[2], ((const char *) (src))[3],		      \
-	  ((const char *) (src))[4], ((const char *) (src))[5],		      \

pkg log/syslog (netbsd-arm64), const LOG_ERR Priority
pkg log/syslog (netbsd-arm64), const LOG_FTP = 88
pkg log/syslog (netbsd-arm64), const LOG_FTP Priority
pkg log/syslog (netbsd-arm64), const LOG_INFO = 6
pkg log/syslog (netbsd-arm64), const LOG_INFO Priority
pkg log/syslog (netbsd-arm64), const LOG_KERN = 0
pkg log/syslog (netbsd-arm64), const LOG_KERN Priority
pkg log/syslog (netbsd-arm64), const LOG_LOCAL0 = 128

}

void TF_AttrBuilderSetTypeList(TF_AttrBuilder* builder, const char* attr_name,
                               const TF_DataType* values, int num_values) {
  auto iter = builder->attr_names.insert(attr_name).first;
  builder->Set(*iter, tensorflow::gtl::ArraySlice<const tensorflow::DataType>(
                          reinterpret_cast<const tensorflow::DataType*>(values),
                          num_values));
}

pkg os, const ModeDir FileMode
pkg os, const ModeExclusive FileMode
pkg os, const ModeIrregular FileMode
pkg os, const ModeNamedPipe FileMode
pkg os, const ModePerm FileMode
pkg os, const ModeSetgid FileMode
pkg os, const ModeSetuid FileMode
pkg os, const ModeSocket FileMode
pkg os, const ModeSticky FileMode
pkg os, const ModeSymlink FileMode
pkg os, const ModeTemporary FileMode
pkg os, const ModeType = 2399141888

    const TF_Operation* const* opers, int ninputs, const TF_Output* inputs,
    int noutputs, const TF_Output* outputs, const char* const* output_names,
    int ncontrol_outputs, const TF_Operation* const* control_outputs,
    const char* const* control_output_names, const TF_FunctionOptions* opts,
    const char* description, TF_Status* status) {
  tensorflow::mutex_lock l(fn_body->mu);

  // Process inputs.

pkg debug/elf, const R_LARCH_SOP_SR R_LARCH #46229
pkg debug/elf, const R_LARCH_SOP_SUB = 32 #46229
pkg debug/elf, const R_LARCH_SOP_SUB R_LARCH #46229
pkg debug/elf, const R_LARCH_SUB16 = 53 #46229
pkg debug/elf, const R_LARCH_SUB16 R_LARCH #46229
pkg debug/elf, const R_LARCH_SUB24 = 54 #46229
pkg debug/elf, const R_LARCH_SUB24 R_LARCH #46229
pkg debug/elf, const R_LARCH_SUB32 = 55 #46229

		}
	}
	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 {

				this.mem.setUint32(addr, id, true);
			}

			const loadSlice = (addr) => {
				const array = getInt64(addr + 0);
				const len = getInt64(addr + 8);
				return new Uint8Array(this._inst.exports.mem.buffer, array, len);
			}

			const loadSliceOfValues = (addr) => {
				const array = getInt64(addr + 0);
				const len = getInt64(addr + 8);
				const a = new Array(len);
				for (let i = 0; i < len; i++) {

TF_CAPI_EXPORT extern TF_CheckpointReader* TF_NewCheckpointReader(
    const char* filename, TF_Status* status);
TF_CAPI_EXPORT extern void TF_DeleteCheckpointReader(
    TF_CheckpointReader* reader);
TF_CAPI_EXPORT extern int TF_CheckpointReaderHasTensor(
    TF_CheckpointReader* reader, const char* name);
// Get the variable name at the given index
TF_CAPI_EXPORT extern const char* TF_CheckpointReaderGetVariable(