code: def testAccumulatorWrongDynamicShape(self):
      with self.cached_session() as sess:
          q = data_flow_ops.ConditionalAccumulator(
              dtypes_lib.float32, name="Q", shape=None
          )
  
          x = array_ops.placeholder(dtypes_lib.float32)
  
          accum_op = q.apply_grad(x)
  
          # First successful apply_grad determines shape
          sess.run(
              accum_op,
              feed_dict={x: [[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]},
          )
  
          with self.assertRaises(errors_impl.InvalidArgumentError):
              sess.run(
                  accum_op, feed_dict={x: [[1.0, 2.0], [3.0, 4.0]]}
              )
  
          with self.assertRaises(errors_impl.InvalidArgumentError):
              sess.run(accum_op, feed_dict={x: [[1.0], [2.0], [3.0]]})
  
imports: import time
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the ConditionalAccumulatorTest obj's underlying member method code with example usage: obj.testAccumulatorWrongDynamicShape() without return types