IR -> Mxnet refactor tested.

Author: kitstar

mmdnn/conversion/examples/mxnet/imagenet_test.py

@@ -16,7 +16,7 @@ class TestMXNet(TestKit):
     def __init__(self):
         super(TestMXNet, self).__init__()
 
-        self.truth['tensorflow']['resnet'] = [(22, 13.58994), (147, 8.9273033), (90, 5.7173896), (24, 5.709712), (88, 4.7731524)]
+        self.truth['tensorflow']['resnet'] = [(22, 11.8427), (147, 8.4613848), (24, 6.449892), (88, 4.2686858), (145, 4.1777167)]
         self.truth['tensorflow']['inception_v3'] = [(22, 9.6691055), (24, 4.3524752), (25, 3.5957956), (132, 3.5657482), (23, 3.3462858)]
         self.truth['keras']['inception_v3'] = [(21, 0.93430501), (23, 0.0028834261), (131, 0.0014781745), (24, 0.0014518937), (22, 0.0014435325)]
 

mmdnn/conversion/mxnet/mxnet_emitter.py

@@ -390,7 +390,7 @@ def _emit_convolution(self, IR_node, pattern):
             num_group = num_filter
             pattern = "Convolution"
         else:
-            num_group = IR_node.IR_layer.attr["group"].i
+            num_group = IR_node.get_attr('group', 1)
 
         # layout = IR_node.IR_layer.attr["data_format"].s
         if dim == 1: