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Bidirection RNN issue #174

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Bidirection RNN issue #174

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8 changes: 6 additions & 2 deletions tutorials/02-intermediate/bidirectional_recurrent_neural_network/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -53,8 +53,12 @@ def forward(self, x):
# Forward propagate LSTM
out, _ = self.lstm(x, (h0, c0)) # out: tensor of shape (batch_size, seq_length, hidden_size*2)

out1, out2 = torch.chunk(out, 2, dim=2)
out_cat = torch.cat((out1[:, -1, :], out2[:, 0, :]), 1)

# Decode the hidden state of the last time step
out = self.fc(out[:, -1, :])
out = self.fc(out_cat)

return out

model = BiRNN(input_size, hidden_size, num_layers, num_classes).to(device)
Expand Down Expand Up @@ -99,4 +103,4 @@ def forward(self, x):
print('Test Accuracy of the model on the 10000 test images: {} %'.format(100 * correct / total))

# Save the model checkpoint
torch.save(model.state_dict(), 'model.ckpt')
torch.save(model.state_dict(), 'model.ckpt')