diff --git a/appendix/gen_upresnet10.py b/appendix/gen_prototxt_upresnet10.py
similarity index 93%
rename from appendix/gen_upresnet10.py
rename to appendix/gen_prototxt_upresnet10.py
index 4d01d48..7de6b9f 100644
--- a/appendix/gen_upresnet10.py
+++ b/appendix/gen_prototxt_upresnet10.py
@@ -81,35 +81,35 @@ def DeConv(name, bottom, num_output, kernel_size, stride = 1, pad = 0, nobias =
 
 
 def Sigmoid(name, bottom):
-    top_name = name
+    top_name = name + '_sigmoid'
     # ReLU
     sigmoid_layer = caffe_pb2.LayerParameter()
     sigmoid_layer.name = name + '_sigmoid'
     sigmoid_layer.type = 'Sigmoid'
-    sigmoid_layer.bottom.extend([top_name])
+    sigmoid_layer.bottom.extend([bottom])
     sigmoid_layer.top.extend([top_name])
     return sigmoid_layer
 
 
 def Relu(name, bottom):
-    top_name = name
+    top_name = name + '_relu'
     # ReLU
     relu_layer = caffe_pb2.LayerParameter()
     relu_layer.name = name + '_relu'
     relu_layer.type = 'ReLU'
-    relu_layer.bottom.extend([top_name])
+    relu_layer.bottom.extend([bottom])
     relu_layer.top.extend([top_name])
     return relu_layer
 
 
 def LeakyRelu(name, bottom, negative_slope):
-    top_name = name
+    top_name = name + '_relu'
     # LeakyRelu
     relu_layer = caffe_pb2.LayerParameter()
     relu_layer.name = name + '_relu'
     relu_layer.type = 'ReLU'
     relu_layer.relu_param.negative_slope = negative_slope
-    relu_layer.bottom.extend([top_name])
+    relu_layer.bottom.extend([bottom])
     relu_layer.top.extend([top_name])
     return relu_layer
 
@@ -122,11 +122,12 @@ def ConvLeakyRelu(name, bottom, num_output, kernel_size, stride = 1, pad = 0, ne
 
 
 def GlobalAvgPool(name, bottom, stride = 1, pad = 0):
+    top_name = name + '_globalavgpool'
     layer = caffe_pb2.LayerParameter()
     layer.name = name + '_globalavgpool'
     layer.type = 'Pooling'
     layer.bottom.extend([bottom])
-    layer.top.extend([name])
+    layer.top.extend([top_name])
     layer.pooling_param.pool = caffe_pb2.PoolingParameter.AVE
     layer.pooling_param.stride = stride
     layer.pooling_param.pad = pad
@@ -240,15 +241,6 @@ def main(args):
     with open(args.output, 'w') as f:
         f.write(pb.text_format.MessageToString(model))
 
-    # caffe.set_mode_cpu()
-    # net = caffe.Net(args.output, caffe.TEST)
-    # input_data = np.random.random_sample(net.blobs['input'].data.shape)
-    # net.blobs['input'].data[...] = input_data
-    # ret = net.forward()
-    # print input_data
-    # print ret
-    # print input_data.shape
-    # print ret['/conv_post'].shape
 
 if __name__ == '__main__':
     parser = ArgumentParser()