code: def speed(self):
      n_calls = 20000
      print("n_calls", n_calls)
      for border_mode in ["valid", "full"]:
          print()
          print(border_mode)
          for openmp in [False, True]:
              print("OpenMP", openmp)
              image_shapes = [
                  (1, 5, 6, 6),
                  (10, 5, 6, 6)
                  # (10, 10, 16, 16),
                  # (10, 10, 32, 32)]
              ]
              print("image_shape", image_shapes)
              for image_shape in image_shapes:
                  filter_shapes = [
                      (1, 5, 4, 4),
                      (2, 5, 4, 4),
                      (5, 5, 4, 4),
                  ]
                  print("filter_shapes", filter_shapes)
                  for filter_shape in filter_shapes:
                      input = theano.shared(
                          np.random.random(image_shape)
                      )
                      filters = theano.shared(
                          np.random.random(filter_shape)
                      )
  
                      output = self.conv2d(
                          input,
                          filters,
                          image_shape,
                          filter_shape,
                          border_mode,
                          unroll_patch=True,
                          openmp=openmp,
                      )
                      mode = theano.Mode(
                          linker=theano.gof.vm.VM_Linker(
                              allow_gc=False, use_cloop=True
                          )
                      )
                      theano_conv = theano.function(
                          [], output, mode=mode
                      )
                      t1 = time.time()
                      theano_conv.fn(n_calls=n_calls)
                      t2 = time.time()
                      print(t2 - t1, end=" ")
                  print()
  
imports: from __future__ import absolute_import, print_function, division
  import time
  from nose.plugins.skip import SkipTest
  import numpy
  import theano
  import theano.tensor
  from theano.tests import unittest_tools
  from theano.tensor.nnet import conv
  from theano.tensor.basic import _allclose, NotScalarConstantError
  from theano.tests.unittest_tools import attr
label_desc: Use image node_id 25 for calling the TestConv2D obj's underlying member method code with example usage: obj.speed() without return types