LSTMCell
class torch.ao.nn.quantized.dynamic.LSTMCell(args, *kwargs)
A long short-term memory (LSTM) cell.
A dynamic quantized LSTMCell module with floating point tensor as
   inputs and outputs. Weights are quantized to 8 bits. We adopt the
   same interface as torch.nn.LSTMCell, please see
   https://pytorch.org/docs/stable/nn.html#torch.nn.LSTMCell for
   documentation.
Examples:
  >>> rnn = nn.LSTMCell(10, 20)
  >>> input = torch.randn(6, 3, 10)
  >>> hx = torch.randn(3, 20)
  >>> cx = torch.randn(3, 20)
  >>> output = []
  >>> for i in range(6):
  ...     hx, cx = rnn(input[i], (hx, cx))
  ...     output.append(hx)
