code: def pytest_generate_tests(metafunc):
      """
      Build a list of test arguments.
  
      """
      fsz = [3, 4, 7]
      dil = [2, 3]
      strides = [1, 2, 3, 6]
  
      if "fargs_tests" in metafunc.fixturenames:
          fargs = itt.product(fsz, dil, strides)
          metafunc.parametrize("fargs_tests", fargs)
  
imports: from __future__ import print_function
  import itertools
  import numpy
  from neon.backends import gen_backend
  from neon.layers import Conv, Affine, GeneralizedCost
  from neon.models import Model
  from neon.initializers.initializer import Gaussian
  from neon.transforms import CrossEntropyBinary
  from neon.optimizers import GradientDescentMomentum
  from utils import allclose_with_out
  from neon import NervanaObject
label_desc: Use image node_id 1 for calling a global function with example usage: pytest_generate_tests(metafunc) without return types