a19f102c65b943a668616df5f3b46cfb4376e04c,allennlp/modules/augmented_lstm.py,AugmentedLstm,forward,#AugmentedLstm#Any#Any#,69

Before Change

        sequence_tensor, batch_lengths = pad_packed_sequence(inputs, batch_first=True)
        batch_size = sequence_tensor.size()[0]
        total_timesteps = sequence_tensor.size()[1]
        output_accumulator = Variable(torch.zeros([batch_size, total_timesteps, self.hidden_size]))
        if initial_state is None:
            full_batch_previous_memory = Variable(torch.zeros([batch_size, self.hidden_size]))
            full_batch_previous_state = Variable(torch.zeros([batch_size, self.hidden_size]))
        else:
            full_batch_previous_state = initial_state[0].squeeze(0)
            full_batch_previous_memory = initial_state[1].squeeze(0)

After Change

        output_accumulator = Variable(sequence_tensor.data.new()
                                      .resize_(batch_size, total_timesteps, self.hidden_size).fill_(0))
        if initial_state is None:
            full_batch_previous_memory = Variable(sequence_tensor.data.new()
                                                  .resize_(batch_size, self.hidden_size).fill_(0))
            full_batch_previous_state = Variable(sequence_tensor.data.new()
                                                 .resize_(batch_size, self.hidden_size).fill_(0))
        else:

Instances