class_docstr: A helper model so we can write CNN models more easily, without having to
  manually define parameter initializations and operators separately.
class_docstr_tok: ["A","helper","model","so","we","can","write","CNN","models","more","easily",",","without","having","to","manually","define","parameter","initializations","and","operators","separately","."]
code: def ConvNd(self, *args, **kwargs):
      return brew.conv_nd(
          self,
          *args,
          use_cudnn=self.use_cudnn,
          order=self.order,
          cudnn_exhaustive_search=self.cudnn_exhaustive_search,
          ws_nbytes_limit=self.ws_nbytes_limit,
          **kwargs,
      )
  
imports: from caffe2.python import brew, workspace
  from caffe2.python.model_helper import ModelHelper
  from caffe2.proto import caffe2_pb2
  import logging
label_desc: Use image node_id 5 for calling the CNNModelHelper obj's underlying member method code with example usage: obj.ConvNd() and returns: brew