55b880469ced115de9949d5d25ff835dabbb2caa,13_2_seq2seq_att.py,,,#,109

Before Change

        if i % 100 is 0:
            print("[(%d %d%%) %.4f]" %
                  (epoch, epoch / N_EPOCH * 100, train_loss))
            print(translate(srcs[0]), "\n")
            print(translate(), "\n")

After Change

            train_loss = train(srcs[0], targets[0])

            if i % 1000 is 0:
                print("[(%d/%d %d%%) %.4f]" %
                      (epoch, N_EPOCH, i * len(srcs) * 100 / len(train_loader), train_loss))
                output, _ = translate(srcs[0])
                print(srcs[0], output, "\n")

                output, attentions = translate()

Instances