code: def testAccumulatorApplyGradFloat32(self):
      with self.cached_session():
          q = data_flow_ops.ConditionalAccumulator(
              dtypes_lib.float32,
              name="Q",
              shape=tensor_shape.TensorShape([1]),
          )
          accum_op = q.apply_grad((10.0,))
          accum_op.run()
  
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 4 for calling the ConditionalAccumulatorTest obj's underlying member method code with example usage: obj.testAccumulatorApplyGradFloat32() without return types