code: def test_conv_setup(
      op_type, parameters, weights, input_data, expected_out
  ):
      """
      The function to test conv api setup
      """
      pytest.skip(
          "Temporarily skipping due to an issue with CrossTalkCaffe and Convolution"
      )
      inputs = [np.array(item, dtype=np.float32) for item in input_data]
      outputs = [
          np.array(item, dtype=np.float32) for item in expected_out
      ]
      layer_def, input_variants = _install_test_layer(
          op_type, parameters, weights, inputs
      )
      layer = getattr(ApiSetup, utils.format.camel_to_snake(op_type))(
          layer_def, input_variants
      )
      _layer_eq(layer, inputs, outputs)
  
file_path: CNTK/bindings/python/cntk/contrib/crosstalkcaffe/tests/op2cntk_test.py
imports: import pytest
  import numpy
  import cntk
  from cntk.contrib.crosstalkcaffe import utils
  from cntk.contrib.crosstalkcaffe.unimodel import cntkmodel
  from cntk.contrib.crosstalkcaffe.unimodel.cntkinstance import ApiSetup
label_desc: Use image node_id 4 for calling a global function with example usage: test_conv_setup(op_type, parameters, weights, input_data, expected_out) without return types