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++) {

    const TF_Graph* fn_body, const char* fn_name,
    unsigned char append_hash_to_fn_name, int num_opers,
    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,

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

                                                   const char* attr_name,
                                                   const void* const* values,
                                                   const size_t* lengths,
                                                   int num_values);
TF_CAPI_EXPORT extern void TFE_OpSetAttrIntList(TFE_Op* op,
                                                const char* attr_name,

                                            TF_Status* status) const;

  // The number of devices operations run on.
  size_t num_underlying_devices() const { return underlying_devices_.size(); }

  // The devices operations run on.
  const std::vector<std::string>& underlying_devices() const {
    return underlying_devices_;
  }

  // Takes a description of a single operation being executed on the

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

pkg debug/elf, const R_386_PC16 R_386
pkg debug/elf, const R_386_PC8 = 23
pkg debug/elf, const R_386_PC8 R_386
pkg debug/elf, const R_386_SIZE32 = 38
pkg debug/elf, const R_386_SIZE32 R_386
pkg debug/elf, const R_386_TLS_DESC = 41
pkg debug/elf, const R_386_TLS_DESC R_386
pkg debug/elf, const R_386_TLS_DESC_CALL = 40
pkg debug/elf, const R_386_TLS_DESC_CALL R_386
pkg debug/elf, const R_386_TLS_GOTDESC = 39

pkg debug/elf, const EM_68HC08 = 71
pkg debug/elf, const EM_68HC08 Machine
pkg debug/elf, const EM_68HC11 = 70
pkg debug/elf, const EM_68HC11 Machine
pkg debug/elf, const EM_68HC16 = 69
pkg debug/elf, const EM_68HC16 Machine
pkg debug/elf, const EM_78KOR = 199
pkg debug/elf, const EM_78KOR Machine
pkg debug/elf, const EM_8051 = 165
pkg debug/elf, const EM_8051 Machine
pkg debug/elf, const EM_ALTERA_NIOS2 = 113

pkg debug/elf, const R_LARCH_ABS_LO12 R_LARCH #54222
pkg debug/elf, const R_LARCH_B16 = 64 #54222
pkg debug/elf, const R_LARCH_B16 R_LARCH #54222
pkg debug/elf, const R_LARCH_B21 = 65 #54222
pkg debug/elf, const R_LARCH_B21 R_LARCH #54222
pkg debug/elf, const R_LARCH_B26 = 66 #54222
pkg debug/elf, const R_LARCH_B26 R_LARCH #54222
pkg debug/elf, const R_LARCH_GNU_VTENTRY = 58 #54222

absl::optional<std::vector<std::unique_ptr<ParallelTensor>>>
ParallelDevice::Execute(TFE_Context* context,
                        const std::vector<ParallelTensor*>& inputs,
                        const char* operation_name,
                        const TFE_OpAttrs* attributes, int expected_max_outputs,
                        TF_Status* status) const {
  std::vector<PartialTensorShape> expected_output_shapes(expected_max_outputs);