8440894e621e3922a394da25b4a0806bdabee21c,12_5_char_rnn.py,,,#,113

Before Change

    print("Training for %d epochs..." % n_epochs)
    for epoch in range(1, n_epochs + 1):
        for i, (lines, _) in enumerate(train_loader):
            for line in lines:
                loss = train(line)

            print("[(%d %d%%) %.4f]" % (epoch, epoch / n_epochs * 100, loss))
            print(generate(decoder, "Wh", 100), "\n")

    print("Saving...")

After Change

        for i, (lines, _) in enumerate(train_loader):
            loss = train(lines[0])  // Batch size is 1

            if i % 100 == 0:
                print("[(%d %d%%) %.4f]" %
                      (epoch, epoch / n_epochs * 100, loss))
                print(generate(decoder, "Wh", 100), "\n")

    print("Saving...")
    save()

except KeyboardInterrupt:

Instances