7066c72279f2fd0f5d0a6b7c3c57e5398dfe7813,examples/colorizer.py,Sampler,sample,#Sampler#Any#Any#,22

Before Change



        sample = sess.run(generator, {x_t: x_v})
        stacks = []
        bs = gan.batch_size()
        width = 5
        print(np.shape(x_v[1]), np.shape(sample[2]), np.shape(layer_filter_v[1]))
        stacks.append([x_v[1], layer_filter_v[1], sample[2], sample[3], sample[4]])
 

After Change



        stacks[0][0]=x_v[0]
        print(np.shape(layer_filter),"----")
        stacks[0][1]=layer_filter_v[0]
        images = np.vstack([np.hstack(s) for s in stacks])

        self.plot(images, path, save_samples)
        return [{"images": images, "label": "tiled x sample"}]
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: HyperGAN/HyperGAN
Commit Name: 7066c72279f2fd0f5d0a6b7c3c57e5398dfe7813
Time: 2018-12-05
Author: mikkel@255bits.com
File Name: examples/colorizer.py
Class Name: Sampler
Method Name: sample


Project Name: HyperGAN/HyperGAN
Commit Name: 84b912e4af76896c27b79fea622a1c9e1f68d08d
Time: 2017-11-02
Author: martyn@255bits.com
File Name: hypergan/discriminators/base_discriminator.py
Class Name: BaseDiscriminator
Method Name: layer_filter


Project Name: HyperGAN/HyperGAN
Commit Name: 54e7e978f4c3ab3c100c8a8f4dfcecf86274f513
Time: 2017-06-08
Author: martyn@255bits.com
File Name: hypergan/losses/base_loss.py
Class Name: BaseLoss
Method Name: split_batch