code: def testMultiGPU(self):
      device_list = config.list_logical_devices("GPU")
      results = []
      for device in device_list:
          with ops.device(device.name):
              data = constant_op.constant(np.zeros((1000,)))
              partitions = constant_op.constant(
                  np.arange(1000, dtype=np.int32) % 10
              )
              result = data_flow_ops.dynamic_partition(
                  data, partitions, 10
              )
              results.append(self.evaluate(result))
      if device_list:
          self.assertAllEqual(
              results, np.zeros((len(device_list), 10, 100))
          )
  
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 19 for calling the DynamicPartitionTest obj's underlying member method code with example usage: obj.testMultiGPU() without return types