8440894e621e3922a394da25b4a0806bdabee21c,13_2_seq2seq_att.py,,,#,109

Before Change

for epoch in range(1, N_EPOCH + 1):
    // Get srcs and targets from data loader
    for i, (srcs, targets) in enumerate(train_loader):
        for src, target in zip(srcs, targets):
            train_loss = train(src, target)

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

After Change

    for i, (srcs, targets) in enumerate(train_loader):
        train_loss = train(srcs[0], targets[0])

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

Instances