code: def testShapeMismatch(self):
      with self.cached_session():
          with self.assertRaises(ValueError):
              self._opFwdBwd(
                  labels=[[0.0, 1.0, 0.0], [1.0, 0.0, 0.0]],
                  logits=[[0.0, 1.0], [2.0, 3.0]],
              )
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops.nn_grad import _SoftmaxCrossEntropyWithLogitsGrad
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the XentOpTestBase obj's underlying member method code with example usage: obj.testShapeMismatch() without return types