code: def testAccumulatorMultipleAccumulators(self):
      with self.cached_session():
          q_f32_0 = data_flow_ops.ConditionalAccumulator(
              dtypes_lib.float32,
              name="Q",
              shape=tensor_shape.TensorShape([1]),
          )
          q_f32_1 = data_flow_ops.ConditionalAccumulator(
              dtypes_lib.float32,
              name="Q",
              shape=tensor_shape.TensorShape([1]),
          )
          q_f16_0 = data_flow_ops.ConditionalAccumulator(
              dtypes_lib.float16,
              name="Q",
              shape=tensor_shape.TensorShape([1]),
          )
          q_f16_1 = data_flow_ops.ConditionalAccumulator(
              dtypes_lib.float16,
              name="Q",
              shape=tensor_shape.TensorShape([1]),
          )
  
          accums = [q_f16_0, q_f16_1, q_f32_0, q_f32_1]
          for i in range(len(accums)):
              accums[i].apply_grad((i + 10.0,)).run()
  
          for i in range(len(accums)):
              result = accums[i].take_grad(1).eval()
              self.assertEqual(result, i + 10.0)
  
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 6 for calling the ConditionalAccumulatorTest obj's underlying member method code with example usage: obj.testAccumulatorMultipleAccumulators() without return types