code: def conv_inception(
      data,
      num_filter,
      stride,
      dim_match,
      name,
      binarize,
      dcn,
      dilate,
      **kwargs,
  ):
      assert not binarize
      if stride[0] > 1 or not dim_match:
          return conv_resnet(
              data,
              num_filter,
              stride,
              dim_match,
              name,
              binarize,
              dcn,
              dilate,
              **kwargs,
          )
      conv4 = block35(data, num_filter, name=name + "_block35")
      return conv4
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import mxnet
  import numpy
  from config import config
label_desc: Use image node_id 9 for calling a global function with example usage: conv_inception(data, num_filter, stride, dim_match, name, binarize, dcn, dilate) and returns: conv4, conv_resnet