5a69007e1ab2f4c0b4a549c0a2a8cd9701fd8929,examples/colorizer.py,,search,#Any#Any#Any#,137

Before 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)
        

After Change

    config_filename = "colorizer-"+str(uuid.uuid4())+".json"
    hc.Selector().save(config_filename, config)
    with open(search_output, "a") as myfile:
        myfile.write(config_filename+","+",".join([str(x) for x in metric_sum])+"\n")

if args.action == "train":
    metrics = train(config, inputs, args)

Instances