8a3148f6f973652500853e656274e65070edaf7e,hypergan/losses/least_squares_loss.py,LeastSquaresLoss,create,#LeastSquaresLoss#,12

Before Change

        net = tf.concat([d_real, d_fake], 0)
        net = config.reduce(net, axis=1)
        s = [int(x) for x in net.get_shape()]
        net = tf.reshape(net, [s[0], -1])
        d_real = tf.slice(net, [0,0], [s[0]//2,-1])
        d_fake = tf.slice(net, [s[0]//2,0], [s[0]//2,-1])

After Change

        net = config.reduce(net, axis=1)

        shape = ops.shape(net)
        net = tf.reshape(net, [shape[0], -1])

        //TODO can we generalize this based on `gan.inputs`?
        // split in half

Instances