code: def support_8bit(self):
      # Rowwise quantization makes sense only if shape it's 2D matrix with
      # second dimension >= 8
      if len(self.shape) != 2 or self.shape[1] < 8:
          return False
      return True
  
imports: from caffe2.python.optimizer import FP16_ENGINES, Optimizer
  from caffe2.python.helpers.arg_scope import get_current_scope
  from caffe2.python import schema
  from caffe2.python.layers.layers import get_categorical_limit, get_key, IdList, IdScoreList, IdListWithEvicted, IdScoreListWithEvicted, LayerPsParam, ModelLayer, almost_equal_schemas
  import collections
  import functools
  import logging
  import math
  import numpy
  import operator
label_desc: Use image node_id 4 for calling the SparseLookup obj's underlying member method code with example usage: obj.support_8bit() and returns: True, False