update tests

Author: tianleiwu

onnxruntime/python/tools/transformers/fusion_group_norm.py

@@ -84,6 +84,7 @@ def fuse(self, add_node, input_name_to_nodes: Dict, output_name_to_node: Dict):
         instance_norm_scale = self.model.get_constant_value(instance_norm.input[1])
         if instance_norm_scale is None or len(instance_norm_scale.shape) != 1:
             return
+        num_groups = int(instance_norm_scale.shape[0])
 
         instance_norm_bias = self.model.get_constant_value(instance_norm.input[2])
         if instance_norm_bias is None or instance_norm_scale.shape != instance_norm_scale.shape:
@@ -156,7 +157,8 @@ def fuse(self, add_node, input_name_to_nodes: Dict, output_name_to_node: Dict):
         )
 
         new_node.attribute.extend(instance_norm.attribute)
-        new_node.attribute.extend([helper.make_attribute("groups", 32)])
+
+        new_node.attribute.extend([helper.make_attribute("groups", num_groups)])
         new_node.attribute.extend([helper.make_attribute("activation", 1 if has_swish_activation else 0)])
 
         if not self.channels_last:

onnxruntime/python/tools/transformers/onnx_model_clip.py

@@ -27,6 +27,7 @@ def get_fused_operator_statistics(self):
             "Gelu",
             "LayerNormalization",
             "QuickGelu",
+            "BiasGelu",
             "SkipLayerNormalization",
         ]
         for op in ops: