4dd8653c9fedc12091c8fe443b37ee9f521a207c,examples/colorizer.py,,search,#Any#Any#Any#,131

Before Change

        if i % args.sample_every == 0:
            print("Sampling "+str(i))
            sample_file = "samples/"+str(i)+".png"
            sampler.sample(sample_file, False)


if args.action == "train":

After Change

    reconstruction = accuracy(tf.image.rgb_to_grayscale(gan.uniform_sample), tf.image.rgb_to_grayscale(x))
    for i in range(args.steps):
        gan.step()
        r,d = gan.session.run([reconstruction, diversity])
        sampler.sample("sample.png", False)
        print("R", r,"D", d)
        

Instances