LSTM¶
-
class
torch.nn.quantized.dynamic.
LSTM
(*args, **kwargs)[source]¶ 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))