code: def bs_sl(self, batch_size=None, enable_quant=False):
      if batch_size is None:
          seq_len = random.randint(1, self.max_seq_len)
          max_batch_size = self.max_batch_tokens // seq_len
          batch_size = random.randint(1, max_batch_size)
      else:
          max_seq_len = min(
              self.max_batch_tokens // batch_size, self.max_seq_len
          )
          seq_len = random.randint(1, max_seq_len)
  
      if enable_quant and seq_len < 8:
          return self.bs_sl(batch_size, enable_quant)
  
      return batch_size, seq_len
  
imports: import random
  import time
  from collections import OrderedDict
  import numpy
  import torch
label_desc: Use image node_id 3 for calling the TestDecorator obj's underlying member method code with example usage: obj.bs_sl(batch_size, enable_quant) and returns: batch_size,  seq_len, self