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3 changes: 1 addition & 2 deletions tutorials/02-intermediate/recurrent_neural_network/main.py
Original file line number Diff line number Diff line change
Expand Up @@ -48,7 +48,6 @@ def __init__(self, input_size, hidden_size, num_layers, num_classes):
def forward(self, x):
# Set initial hidden and cell states
h0 = torch.zeros(self.num_layers, x.size(0), self.hidden_size).to(device)
c0 = torch.zeros(self.num_layers, x.size(0), self.hidden_size).to(device)

# Forward propagate LSTM
out, _ = self.lstm(x, (h0, c0)) # out: tensor of shape (batch_size, seq_length, hidden_size)
Expand Down Expand Up @@ -99,4 +98,4 @@ 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')