code: def testCUBBug(self):
      x = constant_op.constant(np.random.randn(3072))
      inds = (
          [0] * 189
          + [1] * 184
          + [2] * 184
          + [3] * 191
          + [4] * 192
          + [5] * 195
          + [6] * 195
      )
      inds += (
          [7] * 195
          + [8] * 188
          + [9] * 195
          + [10] * 188
          + [11] * 202
          + [12] * 194
      )
      inds += [13] * 194 + [14] * 194 + [15] * 192
      self.assertEqual(len(inds), x.shape[0])
      partitioned = data_flow_ops.dynamic_partition(x, inds, 16)
      with self.cached_session():
          res = self.evaluate(partitioned)
      self.assertEqual(res[-1].shape[0], 192)
  
imports: import unittest
  from absl.testing import parameterized
  import numpy
  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 data_flow_ops
  from tensorflow.python.ops import gradients_impl
  import tensorflow.python.ops.data_flow_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 18 for calling the DynamicPartitionTest obj's underlying member method code with example usage: obj.testCUBBug() without return types