code: def int_(x=0, base=UNSPECIFIED):
      if tensor_util.is_tf_type(x):
          return _tf_int(x, base)
      return _py_int(x, base)
  
imports: import inspect
  from tensorflow.python.autograph.utils import tensors
  from tensorflow.python.autograph.utils import type_registry
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_assert
  from tensorflow.python.ops import gen_parsing_ops
  from tensorflow.python.ops import gen_string_ops
  from tensorflow.python.ops import list_ops
  from tensorflow.python.ops import math_ops
label_desc: Use image node_id 14 for calling a global function with example usage: int_(x, base) and returns: _py_int, _tf_int