code: def normalize(tensor, ord="euclidean", axis=None, name=None):
      tensor = tf_frontend.convert_to_tensor(
          tensor, dtype=ivy.dtype(tensor), dtype_hint="Any"
      )
      _norm = norm(tensor, ord=ord, axis=axis, keepdims=True)
      normalized = tf_frontend.math.divide(tensor, _norm)
      return normalized, _norm
  
imports: import ivy
  from ivy.functional.frontends.tensorflow import check_tensorflow_casting
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from ivy.functional.frontends.tensorflow.func_wrapper import to_ivy_arrays_and_back, handle_tf_dtype
  import ivy.functional.frontends.tensorflow
label_desc: Use image node_id 24 for calling a global function with example usage: normalize(tensor, ord, axis, name) and returns: normalized,  _norm