code: def maximum(
      a: NdarrayOrTensor, b: NdarrayOrTensor
  ) -> NdarrayOrTensor:
      """`np.maximum` with equivalent implementation for torch.
  
      Args:
          a: first array/tensor.
          b: second array/tensor.
  
      Returns:
          Element-wise maximum between two arrays/tensors.
      """
      if isinstance(a, torch.Tensor) and isinstance(b, torch.Tensor):
          return torch.maximum(a, b)
      return np.maximum(a, b)
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  from typing import TypeVar
  import numpy
  import torch
  from monai.config.type_definitions import NdarrayOrTensor, NdarrayTensor
  from monai.utils.misc import is_module_ver_at_least
  from monai.utils.type_conversion import convert_data_type, convert_to_dst_type
label_desc: Use image node_id 15 for calling a global function with example usage: maximum(a, b) and returns: np, torch