code: def _to_tf_padding(pad_width, ndim):
      if isinstance(pad_width, Number):
          pad_width = [[pad_width] * 2] * ndim
      elif len(pad_width) == 2 and isinstance(pad_width[0], Number):
          pad_width = [pad_width] * ndim
      elif (
          isinstance(pad_width, (list, tuple))
          and isinstance(pad_width[0], (list, tuple))
          and len(pad_width) < ndim
      ):
          pad_width = pad_width * ndim
      return pad_width
  
imports: from typing import Optional, Union, Tuple, Iterable, Sequence, Callable, Any, Literal, List
  from numbers import Number
  from functools import partial
  import math
  import ivy
  from ivy.func_wrapper import handle_out_argument, handle_partial_mixed_function, to_native_arrays_and_back, inputs_to_native_shapes, handle_nestable, handle_array_like_without_promotion, handle_view, inputs_to_ivy_arrays, handle_array_function, handle_device, handle_backend_invalid
  from ivy.functional.ivy.general import _numel
  from ivy.utils.backend import current_backend
  from ivy.utils.exceptions import handle_exceptions
label_desc: Use image node_id 1 for calling a global function with example usage: _to_tf_padding(pad_width, ndim) and returns: pad_width