code: def split(tensor, split_size_or_sections, dim=0):
      if isinstance(split_size_or_sections, int):
          split_size = split_size_or_sections
          split_size_or_sections = [split_size] * (
              tensor.shape[dim] // split_size
          )
          if tensor.shape[dim] % split_size:
              split_size_or_sections.append(
                  tensor.shape[dim] % split_size
              )
      return tuple(
          ivy.split(
              tensor,
              num_or_size_splits=split_size_or_sections,
              axis=dim,
              with_remainder=True,
          )
      )
  
imports: import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back, numpy_to_torch_style_args, to_ivy_shape
  import ivy.functional.frontends.torch
label_desc: Use image node_id 27 for calling a global function with example usage: split(tensor, split_size_or_sections, dim) and returns: tuple