GRUCell(input_size, hidden_size, bias=True, dtype=torch.qint8)¶
A gated recurrent unit (GRU) cell
A dynamic quantized GRUCell module with floating point tensor as inputs and outputs. Weights are quantized to 8 bits. We adopt the same interface as torch.nn.GRUCell, please see https://pytorch.org/docs/stable/nn.html#torch.nn.GRUCell for documentation.
>>> rnn = nn.GRUCell(10, 20) >>> input = torch.randn(6, 3, 10) >>> hx = torch.randn(3, 20) >>> output =  >>> for i in range(6): hx = rnn(input[i], hx) output.append(hx)