class_docstr: This class modifies the net passed in by adding ops to compute norms for
  certain blobs.
  
  Args:
      blobs: list of blobs to compute norm for
      logging_frequency: frequency for printing norms to logs
      p: type of norm. Currently it supports p=1 or p=2
      compute_averaged_norm: norm or averaged_norm (averaged_norm = norm/size
      row_index: to plot the entire blob or simply one row at the row_index)
code: def field_name_suffix(self):
      return self._field_name_suffix
  
imports: from caffe2.python import core, schema, muji
  from caffe2.python.modeling.net_modifier import NetModifier
  import numpy
label_desc: Use image node_id 3 for calling the ComputeNormForBlobs obj's underlying member method code with example usage: obj.field_name_suffix() and returns: self