diff --git a/mmdnn/conversion/cntk/cntk_emitter.py b/mmdnn/conversion/cntk/cntk_emitter.py
index 4e51cc9..d72fdd6 100644
--- a/mmdnn/conversion/cntk/cntk_emitter.py
+++ b/mmdnn/conversion/cntk/cntk_emitter.py
@@ -471,14 +471,12 @@ def KitModel(weight_file = None):
 
 
 
-    def emit_upsample(self, IR_node):
-        # print(IR_node.layer)
-        # assert False
+    def emit_UpSampling2D(self, IR_node):
         self.used_layers.add(IR_node.type)
         self.add_body(1, "{:<15} = Upsampling2D({}, stride = {}, name = '{}')".format(
             IR_node.variable_name,
             self.parent_variable_name(IR_node),
-            IR_node.get_attr('strides'),
+            IR_node.get_attr('scales')[0],
             IR_node.name))
 
 
diff --git a/mmdnn/conversion/darknet/darknet_graph.py b/mmdnn/conversion/darknet/darknet_graph.py
index ab83084..7063118 100644
--- a/mmdnn/conversion/darknet/darknet_graph.py
+++ b/mmdnn/conversion/darknet/darknet_graph.py
@@ -408,7 +408,7 @@ class DarknetGraph(Graph):
                 upsample_layer['type'] = 'upsample'
                 upsample_param = OrderedDict()
                 stride = block['stride']
-                upsample_param['strides'] = int(stride)
+                upsample_param['scales'] = [int(stride), int(stride)]
                 upsample_param['_output_shape'] = [input_shape[0]] + [q*int(stride) for q in input_shape[1:3]] + [input_shape[-1]]
                 upsample_layer['attr'] = upsample_param
                 self.layer_map[upsample_layer['name']] = DarknetGraphNode(upsample_layer)
diff --git a/mmdnn/conversion/darknet/darknet_parser.py b/mmdnn/conversion/darknet/darknet_parser.py
index 3659631..36b0896 100644
--- a/mmdnn/conversion/darknet/darknet_parser.py
+++ b/mmdnn/conversion/darknet/darknet_parser.py
@@ -294,10 +294,10 @@ class DarknetParser(Parser):
 
 
     def rename_upsample(self, source_node):
-        IR_node = self._convert_identity_operation(source_node, new_op='upsample')
-        stride = source_node.get_attr('strides')
+        IR_node = self._convert_identity_operation(source_node, new_op='UpSampling2D')
+        scales = source_node.get_attr('scales')
         kwargs = {}
-        kwargs['strides'] = stride
+        kwargs['scales'] = scales
 
         assign_IRnode_values(IR_node, kwargs)
 
diff --git a/mmdnn/conversion/keras/keras2_parser.py b/mmdnn/conversion/keras/keras2_parser.py
index 1e681c4..f1fe4f5 100644
--- a/mmdnn/conversion/keras/keras2_parser.py
+++ b/mmdnn/conversion/keras/keras2_parser.py
@@ -552,10 +552,7 @@ class Keras2Parser(Parser):
         self.convert_inedge(source_node, IR_node)
 
         # size
-        IR_node.attr["size"].list.i.extend(source_node.keras_layer.size)
-
-
-
+        IR_node.attr["scales"].list.i.extend(source_node.keras_layer.size)
 
 
     def rename_Embedding(self, source_node):
diff --git a/mmdnn/conversion/tensorflow/tensorflow_emitter.py b/mmdnn/conversion/tensorflow/tensorflow_emitter.py
index 1844f62..f00b5a9 100644
--- a/mmdnn/conversion/tensorflow/tensorflow_emitter.py
+++ b/mmdnn/conversion/tensorflow/tensorflow_emitter.py
@@ -301,11 +301,11 @@ def KitModel(weight_file = None):
 
 
     def emit_UpSampling2D(self, IR_node):
-        size = IR_node.get_attr('size')
-        size = tuple(size)
+        scales = IR_node.get_attr('scales')
+        scales = tuple(scales)
         self.add_body(1, "{:<15} = tf.keras.layers.UpSampling2D(size={})({})".format(
             IR_node.variable_name,
-            size,
+            scales,
             self.parent_variable_name(IR_node)))