code: def solve(
      x1: np.ndarray,
      x2: np.ndarray,
      /,
      *,
      adjoint: bool = False,
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      if adjoint:
          x1 = np.swapaxes(np.conjugate(x1), -1, -2)
      expanded_last = False
      x1, x2 = ivy.promote_types_of_inputs(x1, x2)
      if len(x2.shape) <= 1:
          if x2.shape[-1] == x1.shape[-1]:
              expanded_last = True
              x2 = np.expand_dims(x2, axis=1)
      for i in range(len(x1.shape) - len(x2.shape)):
          x2 = np.expand_dims(x2, axis=0)
      ret = np.linalg.solve(x1, x2)
      if expanded_last:
          ret = np.squeeze(ret, axis=-1)
      return ret
  
imports: from collections import namedtuple
  from typing import Union, Optional, Tuple, Literal, List, NamedTuple, Sequence
  import numpy
  import ivy
  from ivy import inf
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
  from .None import backend_version
label_desc: Use image node_id 18 for calling a global function with example usage: solve() and returns: ret