LSTMCell — PyTorch 2.7 documentation (original) (raw)

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

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)