class_docstr: Setup CNTK ops with given parameters
class_docstr_tok: ["Setup","CNTK","ops","with","given","parameters"]
docstr:  Setup plus op with given parameters
  
  Args:
      cntk_layer (:class:`~cntk.contrib.crosstalkcaffe.unimodel.cntkmodel.CntkLayersDefinition`):
          the layer definition of dense op
      inputs (list): a list contains all :class:`~cntk.ops.functions.Function` or
          :class:`~cntk.input`
  
  Return:
      :func:`~cntk.ops.functions.Function`: instaced cntk dense op
docstr_tok: ["Setup","plus","op","with","given","parameters","Args",":","cntk_layer","(",":","class",":","`","~cntk.contrib.crosstalkcaffe.unimodel.cntkmodel.CntkLayersDefinition","`",")",":","the","layer","definition","of","dense","op","inputs","(","list",")",":","a","list","contains","all",":","class",":","`","~cntk.ops.functions.Function","`","or",":","class",":","`","~cntk.input","`","Return",":",":","func",":","`","~cntk.ops.functions.Function","`",":","instaced","cntk","dense","op"]
code: def plus(cntk_layer, inputs):
      """
       Setup plus op with given parameters
  
      Args:
          cntk_layer (:class:`~cntk.contrib.crosstalkcaffe.unimodel.cntkmodel.CntkLayersDefinition`):
              the layer definition of dense op
          inputs (list): a list contains all :class:`~cntk.ops.functions.Function` or
              :class:`~cntk.input`
  
      Return:
          :func:`~cntk.ops.functions.Function`: instaced cntk dense op
      """
      sanitize_left = ops.sanitize_input(inputs[0])
      sanitize_right = ops.sanitize_input(inputs[1])
      return ops.plus(
          sanitize_left, sanitize_right, name=cntk_layer.op_name
      )
  
imports: from operator import mul
  from functools import reduce
  import numpy
  import cntk
  import cntk.io.transforms
  from cntk import ops, io, learners, internal
  from cntk import Trainer
  from cntk.layers.blocks import BlockFunction
label_desc: Use image node_id 6 for calling the ApiSetup obj's underlying member method code with example usage: obj.plus(cntk_layer, inputs) and returns: ops