code: def fmax(
      x1: np.ndarray,
      x2: np.ndarray,
      /,
      *,
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      x1, x2 = promote_types_of_inputs(x1, x2)
      return np.fmax(
          x1,
          x2,
          out=None,
          where=True,
          casting="same_kind",
          order="K",
          dtype=None,
          subok=True,
      )
  
imports: from typing import Optional, Union, Tuple, List, Sequence
  import numpy
  import numpy.typing
  import ivy
  from ivy import promote_types_of_inputs
  from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
label_desc: Use image node_id 4 for calling a global function with example usage: fmax() and returns: np