LSTM
class torch.ao.nn.quantized.dynamic.LSTM(args, *kwargs)
A dynamic quantized LSTM module with floating point tensor as
   inputs and outputs. We adopt the same interface as torch.nn.LSTM,
   please see https://pytorch.org/docs/stable/nn.html#torch.nn.LSTM
   for documentation.
Examples:
  >>> rnn = nn.LSTM(10, 20, 2)
  >>> input = torch.randn(5, 3, 10)
  >>> h0 = torch.randn(2, 3, 20)
  >>> c0 = torch.randn(2, 3, 20)
  >>> output, (hn, cn) = rnn(input, (h0, c0))
