class_docstr: Gated Recurrent Unit cell (cf. http://arxiv.org/abs/1406.1078).
  Args:
    num_units: int, The number of units in the GRU cell.
    activation: Nonlinearity to use.  Default: `tanh`.
    reuse: (optional) Python boolean describing whether to reuse variables
     in an existing scope.  If not `True`, and the existing scope already has
     the given variables, an error is raised.
    kernel_initializer: (optional) The initializer to use for the weight and
    projection matrices.
    bias_initializer: (optional) The initializer to use for the bias.
code: def state_size(self):
      return self._num_units
  
imports: import tensorflow
  from tensorflow.python.ops.rnn_cell import *
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.util import nest
  from tensorflow.python.ops import nn_ops
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 2 for calling the VecAttGRUCell obj's underlying member method code with example usage: obj.state_size() and returns: self