code: def test_infer_shape(self):
      x = tensor.dmatrix()
      y = tensor.dmatrix()
  
      self._compile_and_check(
          [x, y],
          [self.op_class()(x, y)],
          [np.random.rand(5, 6), np.random.rand(5, 6)],
          self.op_class,
      )
  
imports: from __future__ import absolute_import, print_function, division
  import unittest
  import theano
  import numpy
  from theano.gof import Op, Apply
  from theano import tensor, function, printing
  from theano.tests import unittest_tools
  import theano
  import numpy
  from theano.compile.ops import as_op
label_desc: Use image node_id 4 for calling the TestProdOp obj's underlying member method code with example usage: obj.test_infer_shape() without return types