adversarial training learning rate fix

src/network_kernels.cu

@@ -352,7 +352,7 @@ float train_network_datum_gpu(network net, float *x, float *y)
     if (net.adversarial_lr && rand_int(0, 1) == 1 && get_current_iteration(net) > net.burn_in) {
         net.adversarial = 1;
         float lr_old = net.learning_rate;
-        float scale = ((float)net.max_batches) / get_current_iteration(net);
+        float scale = 1.0 - (get_current_iteration(net) / ((float)net.max_batches));
         net.learning_rate = net.adversarial_lr * scale;
         layer l = net.layers[net.n - 1];
         int y_size = get_network_output_size(net)*net.batch;