LSTMCell

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