9fbc93abbbe4890b877c38082f6b73e1a32ea0e3,examples/static-batch-test.py,,,#,28

Before Change

    
x,y,f,num_labels,examples_per_epoch = image_loader.labelled_image_tensors_from_directory(
                        args.directory,
                        config["batch_size"], 
                        channels=channels, 
                        format=args.format,
                        crop=args.crop,

After Change

selector.save(config_filename, config)

gan = hg.GAN(config, inputs=inputs)

gan.create()

tf.train.start_queue_runners(sess=gan.session)
static_x, static_z = gan.sess.run([inputs.x, gan.encoder.sample])

def batch_diversity(net):
    bs = int(net.get_shape()[0])

Instances