class_docstr: A collection of functions to be tested
code: def func_dot_reduction_mix(be, x0, x1, x2, x3, x4):
      f1 = be.std(
          be.var(x0, axis=0, keepdims=True), axis=1, keepdims=True
      )
      f2 = be.max(x1, axis=0, keepdims=True) + be.min(
          x1, axis=0, keepdims=True
      )
      f3 = be.std(x2, keepdims=True)
      f4 = be.dot(1.0 / x3, x4 / x2)
      f5 = be.dot(x3, x4 - x0)
      f6 = be.dot(x2 / f4, f5 + x3)
      return f1 + f2 + f3 + f4 + 1.0 / (be.dot(f5, f6))
  
file_path: neon/tests/test_backend_compound_optree.py
imports: import itertools
  import numpy
  import os
  import pytest
  import subprocess
  from neon import NervanaObject
  from utils import call_func, gen_backend_tensors, tensors_allclose
label_desc: Use image node_id 1 for calling the TestFuncs obj's underlying member method code with example usage: obj.func_dot_reduction_mix(be, x0, x1, x2, x3, x4) and returns: unknown