code: def testZeroSizeTensor(self):
      indices = [
          constant_op.constant([0, 4, 7]),
          constant_op.constant([1, 6]),
          constant_op.constant([2, 3, 5]),
          array_ops.zeros([0], dtype=dtypes.int32),
      ]
      data = [
          constant_op.constant([[0, 1], [40, 41], [70, 71]]),
          constant_op.constant([[10, 11], [60, 61]]),
          constant_op.constant([[20, 21], [30, 31], [50, 51]]),
          array_ops.zeros([0, 2], dtype=dtypes.int32),
      ]
      stitched_t = self.stitch_op(indices, data)
      stitched_val = self.evaluate(stitched_t)
      self.assertAllEqual(
          [
              [0, 1],
              [10, 11],
              [20, 21],
              [30, 31],
              [40, 41],
              [50, 51],
              [60, 61],
              [70, 71],
          ],
          stitched_val,
      )
      # Dimension 0 is max(flatten(indices))+1.
      self.assertEqual([8, 2], stitched_t.get_shape().as_list())
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  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 gradients_impl
  import tensorflow.python.ops.data_flow_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the DynamicStitchTestBase obj's underlying member method code with example usage: obj.testZeroSizeTensor() without return types