| __init__(self, args, kwargs) (defined in torch.nn.modules.rnn.LSTM) | torch.nn.modules.rnn.LSTM | |
| __init__(self, mode, input_size, hidden_size, num_layers=1, bias=True, batch_first=False, dropout=0., bidirectional=False) (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| __setstate__(self, d) (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| all_weights(self) (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| batch_first (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| bias (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| bidirectional (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| check_forward_args(self, input, hidden, batch_sizes) (defined in torch.nn.modules.rnn.LSTM) | torch.nn.modules.rnn.LSTM | |
| check_hidden_size(self, hx, expected_hidden_size, msg='Expected hidden size{}, got) (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| check_input(self, input, batch_sizes) (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| dropout (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| extra_repr(self) (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| flatten_parameters(self) | torch.nn.modules.rnn.RNNBase | |
| forward(self, input, hx=None) (defined in torch.nn.modules.rnn.LSTM) | torch.nn.modules.rnn.LSTM | |
| forward_impl(self, input, hx, batch_sizes, max_batch_size, sorted_indices) (defined in torch.nn.modules.rnn.LSTM) | torch.nn.modules.rnn.LSTM | |
| forward_packed(self, input, hx=None) (defined in torch.nn.modules.rnn.LSTM) | torch.nn.modules.rnn.LSTM | |
| forward_tensor(self, input, hx=None) (defined in torch.nn.modules.rnn.LSTM) | torch.nn.modules.rnn.LSTM | |
| get_expected_hidden_size(self, input, batch_sizes) (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| get_flat_weights(self) (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| hidden_size (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| input_size (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| mode (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| num_layers (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |
| permute_hidden(self, hx, permutation) (defined in torch.nn.modules.rnn.LSTM) | torch.nn.modules.rnn.LSTM | |
| reset_parameters(self) (defined in torch.nn.modules.rnn.RNNBase) | torch.nn.modules.rnn.RNNBase | |