code: def testMakeTwoClass(self):
      for input_size in self.test_configs:
          op = core.CreateOperator("MakeTwoClass", ["X"], ["Y"])
          X = np.random.rand(*input_size).astype(np.float32)
          # step a little to avoid gradient problems
          X[X < 0.01] += 0.01
          X[X > 0.99] -= 0.01
          res = device_checker.CheckSimple(op, [X], [0])
          self.assertTrue(res)
          for checker in gradient_checkers:
              res, grad, grad_estimated = checker.CheckSimple(
                  op, [X], 0, [0]
              )
              self.assertTrue(res)
  
imports: import numpy
  from caffe2.python import brew, core, device_checker, gradient_checker, model_helper, test_util, workspace
  from caffe2.python.gradient_checker import NetGradientChecker
  from caffe2.python.net_builder import ops, NetBuilder
  from caffe2.proto import caffe2_pb2
  import unittest
  from typing import Optional
label_desc: Use image node_id 2 for calling the TestMakeTwoClass obj's underlying member method code with example usage: obj.testMakeTwoClass() without return types