code: def test_no_backprop_mode(self):
      xs_data = numpy.random.uniform(-1, 1, (4, 2, 3)).astype(
          numpy.float32
      )
      t_data = numpy.array([[0, 1], [1, 0]]).astype(numpy.int32)
      with chainer.no_backprop_mode():
          x = [chainer.Variable(x_data) for x_data in xs_data]
          t = chainer.Variable(t_data)
          functions.connectionist_temporal_classification(x, t, 2)
  
imports: import math
  import unittest
  import numpy
  import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import condition
label_desc: Use image node_id 1 for calling the TestCTCUseNoBackpropMode obj's underlying member method code with example usage: obj.test_no_backprop_mode() without return types