docstr: Run opt for num_steps times and check if the final loss is small.
docstr_tok: ["Run","opt","for","num_steps","times","and","check","if","the","final","loss","is","small","."]
code: def _check_run(
      self, gv, opt, loss, lr, num_steps, tolerance, options
  ):
      """Run opt for num_steps times and check if the final loss is small."""
      for i in range(num_steps):
          g, v = gv()
          if options and isinstance(options, tuple):
              opt(lr, g, options[0], options[1])
          elif options:
              opt(lr, g, options)
          else:
              opt(lr, g)
      self.assertLess(loss(), tolerance)
  
imports: import math
  import unittest
  import jax.numpy
  import numpy
  import objax
  from objax.variable import TrainVar, VarCollection
label_desc: Use image node_id 4 for calling the TestOptimizers obj's underlying member method code with example usage: obj._check_run(gv, opt, loss, lr, num_steps, tolerance, options) without return types