class_docstr: This class modifies the net passed in by adding ops to compute statistics
  for certain blobs. For each blob in the list, its min, max, mean and standard
  deviation will be computed.
  
  Args:
      blobs: list of blobs to compute norm for
      logging_frequency: frequency for printing norms to logs
code: def __init__(self, blobs, logging_frequency):
      self._blobs = blobs
      self._logging_frequency = logging_frequency
      self._field_name_suffix = "_summary"
  
imports: from caffe2.python import core, schema
  from caffe2.python.modeling.net_modifier import NetModifier
  import numpy
label_desc: Use image node_id 1 to create a new ComputeStatisticsForBlobs object from inherited base classes: NetModifier with example: obj = ComputeStatisticsForBlobs(blobs, logging_frequency)