class_docstr: Wrapper to provide a common interfaces among different classifier modules
      
class_docstr_tok: ["Wrapper","to","provide","a","common","interfaces","among","different","classifier","modules"]
docstr: Initialize the classifier's optimizer
          
docstr_tok: ["Initialize","the","classifier","'s","optimizer"]
code: def init_optimizer(self):
      """Initialize the classifier's optimizer"""
      self.opt = torch.optim.Adam(
          filter(lambda x: x.requires_grad, self.model.parameters()),
          lr=self.args.lr,
      )
  
imports: import os
  import logging
  import numpy
  import torch
  import torch.nn
  from torch.autograd import Variable
  from tqdm import tqdm
  from interpret_text.experimental.common.utils_introspective_rationale import generate_data
label_desc: Use image node_id 2 for calling the ClassifierWrapper obj's underlying member method code with example usage: obj.init_optimizer() without return types