gistfile1.txt

samples=[] #generator examples

with tf.Session() as sess:
    sess.run(init)
    for epoch in range(epochs):
        num_batches=mnist.train.num_examples//batch_size
        for i in range(num_batches):
            batch=mnist.train.next_batch(batch_size)
            batch_images=batch[0].reshape((batch_size,784))
            batch_images=batch_images*2-1
            batch_z=np.random.uniform(-1,1,size=(batch_size,100))
            _=sess.run(D_trainer,feed_dict={real_images:batch_images,z:batch_z})
            _=sess.run(G_trainer,feed_dict={z:batch_z})
            
        print("on epoch{}".format(epoch))
        
        sample_z=np.random.uniform(-1,1,size=(1,100))
        gen_sample=sess.run(generator(z,reuse=True),feed_dict={z:sample_z})
        
        samples.append(gen_sample)

plt.imshow(samples[0].reshape(28,28))
plt.imshow(samples[99].reshape(28,28))