class_docstr: Base class for generating random data for metric benchmarking 
class_docstr_tok: ["Base","class","for","generating","random","data","for","metric","benchmarking"]
code: def output_dim(self):
      return self.c
  
file_path: mxnet/benchmark/python/metric/benchmark_metric.py
imports: from __future__ import print_function
  import itertools
  import mxnet
  import sys
  import time
label_desc: Use image node_id 4 for calling the MetricDataGen obj's underlying member method code with example usage: obj.output_dim() and returns: self