import numpy as np
import matplotlib.pyplot as plt
non_reg = [10] * 62
reg = [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
z = tf.constant([non_reg + reg] * 128, dtype=tf.float32)
fake_x, _ = self.model.generate(z, reuse=True)
fake = sess.run(fake_x)
plt.imshow(np.reshape(fake[0], (28, 28)))

32b57c13c591fbfe2b5df29a2ceb1c2928f87e40
<mask token>

<mask token>
plt.imshow(np.reshape(fake[0], (28, 28)))

<mask token>
non_reg = [10] * 62
reg = [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
z = tf.constant([non_reg + reg] * 128, dtype=tf.float32)
fake_x, _ = self.model.generate(z, reuse=True)
fake = sess.run(fake_x)
plt.imshow(np.reshape(fake[0], (28, 28)))

import numpy as np
import matplotlib.pyplot as plt
non_reg = [10] * 62
reg = [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
z = tf.constant([non_reg + reg] * 128, dtype=tf.float32)
fake_x, _ = self.model.generate(z, reuse=True)
fake = sess.run(fake_x)
plt.imshow(np.reshape(fake[0], (28, 28)))
