Pad_cgo_1 [4]byte
}

type Dirent struct {
	Ino       uint64
	Off       int64
	Reclen    uint16
	Type      uint8
	Name      [256]int8
	Pad_cgo_0 [5]byte
}

type Fsid struct {
	X__val [2]int32
}

type Flock_t struct {
	Type      int16
	Whence    int16
	Pad_cgo_0 [4]byte
	Start     int64
	Len       int64
	Pid       int32
	Pad_cgo_1 [4]byte
}

	Spare   [4]int64
}

type Dirent struct {
	Ino       uint64
	Off       int64
	Reclen    uint16
	Type      uint8
	Name      [256]int8
	Pad_cgo_0 [5]byte
}

type Fsid struct {
	X__val [2]int32
}

type Flock_t struct {
	Type      int16
	Whence    int16
	Pad_cgo_0 [4]byte
	Start     int64
	Len       int64
	Pid       int32
	Pad_cgo_1 [4]byte
}

	Spare   [4]int32
}

type Dirent struct {
	Ino       uint64
	Off       int64
	Reclen    uint16
	Type      uint8
	Name      [256]int8
	Pad_cgo_0 [1]byte
}

type Fsid struct {
	X__val [2]int32
}

type Flock_t struct {
	Type   int16
	Whence int16
	Start  int64
	Len    int64
	Pid    int32
}

type RawSockaddrInet4 struct {
	Family uint16
	Port   uint16

        Args:
          use_variable: If True, creates a variable for weight.
        """
        super().__init__()
        w_val = np.random.randn(128, 32).astype('f4')
        if use_variable:
          self.w = variables.Variable(w_val)
        else:
          self.w = w_val

      @def_function.function(
          input_signature=[
              tensor_spec.TensorSpec(

    // number without knowing this, so we need to manually dispatch to each
    // possible member of TensorProto, depening on its dtype.
#define MATCH(DTYPE, FIELD) \
  case DTYPE:               \
    return tensor.FIELD##_val().size()

  switch (tensor.dtype()) {
    MATCH(DT_FLOAT, float);
    MATCH(DT_DOUBLE, double);
    MATCH(DT_INT8, int);
    MATCH(DT_UINT8, int);
    MATCH(DT_INT16, int);
    MATCH(DT_UINT16, int);