<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def ConvGRUCell(units, kernel_size=(3, 3)):
 """Builds a convolutional GRU. Paper: https://arxiv.org/abs/1511.06432. Args: units: Number of hidden units kernel_size: Kernel size for convolution Returns: A Stax model representing a GRU cell with convolution transforms. """


  def BuildConv():
    return core.Conv(filters=units, kernel_size=kernel_size, padding='SAME')

  return GeneralGRUCell(
      candidate_transform=BuildConv,
      memory_transform=combinators.Identity,
      gate_nonlinearity=core.Sigmoid,
      candidate_nonlinearity=core.Tanh)