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| import torch | |
| import torch.nn as nn | |
| class LSTMModel(nn.Module): | |
| def __init__(self, input_size=1, hidden_size=64, num_layers=2, output_size=1): | |
| super().__init__() | |
| self.lstm = nn.LSTM( | |
| input_size, | |
| hidden_size, | |
| num_layers, | |
| batch_first=True | |
| ) | |
| self.fc = nn.Linear(hidden_size, output_size) | |
| def forward(self, x): | |
| out, _ = self.lstm(x) | |
| out = out[:, -1, :] | |
| return self.fc(out) | |