code: def test_reshape(self):
      new_shape = tensor.constant(
          np.asarray(
              [self.mat_in_shape[0] * self.mat_in_shape[1]],
              dtype="int64",
          )
      )
  
      self.check_mat_rop_lop(
          self.mx.reshape(new_shape),
          (self.mat_in_shape[0] * self.mat_in_shape[1],),
      )
  
imports: from __future__ import absolute_import, print_function, division
  import unittest
  from theano.tests import unittest_tools
  from theano import function
  import theano
  from theano import tensor
  import itertools
  import numpy
  from theano.gof import Op, Apply
  from theano.gradient import grad_undefined
  from theano.tests.unittest_tools import SkipTest
  from theano.tensor.signal.pool import Pool
  from theano.tensor.nnet import conv, conv2d
label_desc: Use image node_id 19 for calling the test_RopLop obj's underlying member method code with example usage: obj.test_reshape() without return types