11_gan do not work!

[lanpay-lulu]

I try to generate and display a new sample, but generate a array of all 0.5.
And I print g_cost = sess.run(G_objective, feed_dict={z: generate_z(batch_size)}) at each iteration but find that they are all the same.
I really don`t know where it goes wrong...

[lanpay-lulu]

The problem is here:
def xavier_initializer(shape):
return tf.random_normal(shape=shape, stddev=1/shape[0])

stddev=1/shape[0] should be stddev=1.0/shape[0]

[hunkim]

Cool. Could you send a pull request?

[lanpay-lulu]

It seems that the output of G for each pixel should be in range [0,255]?
Using sigmoid will only generate values in range (0, 1).
No significant image has been generated so far.
I`m still working on it.