code: def is_mlp(self, data, merge_count=1):
      return (self.mp_size * data.shape[0] * merge_count) / data.shape[
          1
      ] == 4 or (
          self.mp_size * data.shape[1] * merge_count
      ) / data.shape[
          0
      ] == 4
  
file_path: H2O/h2o_flexgen/benchmark/third_party/DeepSpeed/deepspeed/runtime/weight_quantizer.py
imports: import torch
  from ..module_inject.replace_policy import HFBertLayerPolicy, replace_policies
label_desc: Use image node_id 3 for calling the WeightQuantization obj's underlying member method code with example usage: obj.is_mlp(data, merge_count) and returns: unknown