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

                                            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 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

pkg debug/macho, const CpuArm = 12
pkg debug/macho, const CpuArm Cpu
pkg debug/macho, const CpuPpc = 18
pkg debug/macho, const CpuPpc Cpu
pkg debug/macho, const CpuPpc64 = 16777234
pkg debug/macho, const CpuPpc64 Cpu
pkg debug/macho, const MagicFat = 3405691582
pkg debug/macho, const MagicFat uint32
pkg debug/macho, const TypeBundle = 8
pkg debug/macho, const TypeBundle Type
pkg debug/macho, const TypeDylib = 6

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);

pkg debug/elf, const R_MIPS_PC16 R_MIPS
pkg debug/elf, const R_MIPS_PJUMP = 35
pkg debug/elf, const R_MIPS_PJUMP R_MIPS
pkg debug/elf, const R_MIPS_REL16 = 33
pkg debug/elf, const R_MIPS_REL16 R_MIPS
pkg debug/elf, const R_MIPS_REL32 = 3
pkg debug/elf, const R_MIPS_REL32 R_MIPS
pkg debug/elf, const R_MIPS_RELGOT = 36
pkg debug/elf, const R_MIPS_RELGOT R_MIPS
pkg debug/elf, const R_MIPS_SCN_DISP = 32

pkg debug/elf, const R_AARCH64_CALL26 = 283
pkg debug/elf, const R_AARCH64_CALL26 R_AARCH64
pkg debug/elf, const R_AARCH64_CONDBR19 = 280
pkg debug/elf, const R_AARCH64_CONDBR19 R_AARCH64
pkg debug/elf, const R_AARCH64_COPY = 1024
pkg debug/elf, const R_AARCH64_COPY R_AARCH64
pkg debug/elf, const R_AARCH64_GLOB_DAT = 1025
pkg debug/elf, const R_AARCH64_GLOB_DAT R_AARCH64
pkg debug/elf, const R_AARCH64_GOT_LD_PREL19 = 309

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);

// Return a RecvOp op `op_name` with the attributes `send_device`,
// `recv_device`, and `send_device_incarnation` set.
TFE_Op* RecvOp(TFE_Context* ctx, const std::string& op_name,

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

}

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));
}