GRUCell
class torch.ao.nn.quantized.dynamic.GRUCell(input_size, hidden_size, bias=True, dtype=torch.qint8)
A gated recurrent unit (GRU) cell
A dynamic quantized GRUCell module with floating point tensor as
   inputs and outputs. Weights are quantized to 8 bits. We adopt the
   same interface as torch.nn.GRUCell, please see
   https://pytorch.org/docs/stable/nn.html#torch.nn.GRUCell for
   documentation.
Examples:
  >>> rnn = nn.GRUCell(10, 20)
  >>> input = torch.randn(6, 3, 10)
  >>> hx = torch.randn(3, 20)
  >>> output = []
  >>> for i in range(6):
  ...     hx = rnn(input[i], hx)
  ...     output.append(hx)
