code: def test_transform_affine_identity(self):
      from lasagne.layers import InputLayer, TransformerLayer
      from lasagne.utils import floatX
      from theano.tensor import constant
  
      batchsize = 10
      l_in = InputLayer((batchsize, 3, 28, 28))
      l_loc = InputLayer((batchsize, 6))
      layer = TransformerLayer(l_in, l_loc)
      inputs = floatX(
          np.arange(np.prod(l_in.shape)).reshape(l_in.shape)
      )
      thetas = floatX(np.tile([1, 0, 0, 0, 1, 0], (batchsize, 1)))
      outputs = layer.get_output_for(
          [constant(inputs), constant(thetas)]
      ).eval()
      np.testing.assert_allclose(inputs, outputs, rtol=1e-6)
  
imports: from mock import Mock
  import numpy
  import pytest
  import theano
  from lasagne.layers import InputLayer, standardize, get_output, get_all_params
  from lasagne.utils import floatX
label_desc: Use image node_id 3 for calling the TestTransformLayer obj's underlying member method code with example usage: obj.test_transform_affine_identity() without return types