code: def test_updates(self, method, kwargs):
      A = theano.shared(lasagne.utils.floatX([1, 1, 1]))
      B = theano.shared(lasagne.utils.floatX([1, 1, 1]))
      update_func = getattr(lasagne.updates, method)
      updates = update_func(self.f(A) + self.f(B), [A, B], **kwargs)
      do_update = theano.function([], [], updates=updates)
  
      for _ in range(10):
          do_update()
  
      assert np.allclose(A.get_value(), B.get_value())
      assert np.allclose(A.get_value(), self.torch_values[method])
  
file_path: Lasagne/lasagne/tests/test_updates.py
imports: import pytest
  import numpy
  import theano
  import theano.tensor
  import lasagne
label_desc: Use image node_id 2 for calling the TestUpdateFunctions obj's underlying member method code with example usage: obj.test_updates(method, kwargs) without return types