class_docstr: A collection of functions to be tested
class_docstr_tok: ["A","collection","of","functions","to","be","tested"]
code: def func_scalar_broadcast(be, x0, x1, x2, x3, x4):
      return 0.2 * x0 - x1 * x2 / 3 * 4 * x1 + x0 * x0 / x0 / x3 + x4
  
file_path: neon/tests/test_backend_autodiff.py
imports: from builtins import zip
  import itertools
  import numpy
  from neon import NervanaObject
  from neon.backends.autodiff import Autodiff
  from utils import call_func, gen_backend_tensors, tensors_allclose
  import pytest
label_desc: Use image node_id 5 for calling the Funcs obj's underlying member method code with example usage: obj.func_scalar_broadcast(be, x0, x1, x2, x3, x4) and returns: unknown