code: def test_transform_thin_plate_spline_identity(self):
      from lasagne.layers import InputLayer, TPSTransformerLayer
      from lasagne.utils import floatX
      from theano.tensor import constant
  
      batchsize = 5
      num_control_points = 16
      dest_offset = np.zeros(shape=(batchsize, 2 * num_control_points))
      l_in = InputLayer((batchsize, 3, 28, 28))
      l_loc = InputLayer((batchsize, 2 * num_control_points))
      layer = TPSTransformerLayer(
          l_in, l_loc, control_points=num_control_points
      )
      inputs = floatX(
          np.arange(np.prod(l_in.shape)).reshape(l_in.shape)
      )
      outputs = layer.get_output_for(
          [constant(inputs), constant(dest_offset)]
      ).eval()
      np.testing.assert_allclose(inputs, outputs, atol=5e-4)
  
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 4 for calling the TestTPSTransformLayer obj's underlying member method code with example usage: obj.test_transform_thin_plate_spline_identity() without return types