(x, nf=64, scope='dis')

(x, n_outputs, kernel_size, stride=1, padding='SAME', activation_fn=None, scope='conv2d')

(x, nf=32, c=1, scope='gen')

(x, leak=0.2, scope='lrelu')

(x, eps=1e-5, scope='instance_norm')

(x, channels, kernel=4, stride=1, padding='same', use_bias=True, scope='conv')

(real, cycle)

()

(value)

(type, real, fake)

(self, fake, pool, n_fake)

(type, fake)

(self,data,idx)

(x, scope='instance_norm')

(x)

(self)

()

(x)

(self)

()

(self)

()

()

()

()

(array)

(image, scale)

(image, shape, interpolation='continuous')

(self,data,label)

(self,data,label)

(array, tfrecord_file)

(x, y)

(self, config,is_train, restore_ckpt, model_dir='./Network/cycleGAN/',summary_dir='./log/')

(x, eps=1e-5, scope='batch_norm')

(real, cycle)

(x, channels, kernel=3, stride=2, use_bias=True, scope='deconv_0')

(x, n_outputs, kernel_size, stride=1, padding='SAME', activation_fn=None, scope='deconv2d')

(type, real, fake)

(type, fake)

(x, units, use_bias=True, scope='linear')

(x, alpha=0.01)

(real, fake)

(fake)

(subject, npy_path, affine_path, nifti_path, basename, axis)

(value)

(value)

(value)

(filenames, shuffle=True)

(x_init, channels, use_bias=True, scope='resblock')

(x, nf, scope='res')

(value)

(x)