code: def meshgrid(*tensors, indexing=None):
      if indexing is None:
          indexing = "ij"
      if len(tensors) == 1 and isinstance(tensors[0], (list, tuple)):
          tensors = tensors[0]
      return tuple(ivy.meshgrid(*tensors, indexing=indexing))
  
imports: import ivy
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
  from ivy.functional.frontends.torch import promote_types_of_torch_inputs
  import ivy.functional.frontends.torch
label_desc: Use image node_id 29 for calling a global function with example usage: meshgrid() and returns: tuple