Question about gated deconv

[r06922019]

Hi,

Thanks for your great work.
In your code,
https://github.com/run-youngjoo/SC-FEGAN/blob/master/ops.py#L50
this line states g = tf.nn.sigmoid(deconv)
However, IMHO the sigmoid should be applied to g itself to construct the gate
It should be g = tf.nn.sigmoid(g) right?
Did I misunderstand anything?

Thanks for your great work again!

[r06922019]

Also, according to this line,
https://github.com/run-youngjoo/SC-FEGAN/blob/master/ops.py#L46
g = tf.nn.conv2d_transpose(input_, w, output_shape=output_shape, strides=[1, d_h, d_w, 1])
it seems that the gate g shares the same w used in deconv
Can you provide some thoughts on this?
Thanks again

[abtExp]

You're right.