diff --git a/paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.cc b/paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.cc
index dfb030a7cc76875e2106f78e8a5a89e1784da65c..76c6ca24aaaf062dad71ff3d39aef77d74582ba3 100644
--- a/paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.cc
+++ b/paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.cc
@@ -147,12 +147,19 @@ void ConvBiasFusePass::ApplyImpl(ir::Graph* graph) const {
 }  // namespace paddle
 REGISTER_PASS(conv_bias_mkldnn_fuse_pass,
               paddle::framework::ir::ConvBiasFusePass);
-REGISTER_PASS(conv_transpose_bias_mkldnn_fuse_pass,
-              paddle::framework::ir::Conv2DTransposeBiasFusePass);
-REGISTER_PASS(conv3d_bias_mkldnn_fuse_pass,
-              paddle::framework::ir::Conv3DBiasFusePass);
 REGISTER_PASS_CAPABILITY(conv_bias_mkldnn_fuse_pass)
     .AddCombination(
         paddle::framework::compatible::OpVersionComparatorCombination()
             .EQ("conv2d", 0)
             .EQ("elementwise_add", 0));
+
+REGISTER_PASS(conv_transpose_bias_mkldnn_fuse_pass,
+              paddle::framework::ir::Conv2DTransposeBiasFusePass);
+REGISTER_PASS_CAPABILITY(conv_transpose_bias_mkldnn_fuse_pass)
+    .AddCombination(
+        paddle::framework::compatible::OpVersionComparatorCombination()
+            .EQ("conv2d_transpose", 0)
+            .EQ("elementwise_add", 0));
+
+REGISTER_PASS(conv3d_bias_mkldnn_fuse_pass,
+              paddle::framework::ir::Conv3DBiasFusePass);
diff --git a/python/paddle/fluid/tests/unittests/ir/inference/test_conv_bias_mkldnn_fuse_pass.py b/python/paddle/fluid/tests/unittests/ir/inference/test_conv_bias_mkldnn_fuse_pass.py
index 5eb397b5a95b240dcaff9dee3758646b35ab5022..6c8b9d4d3a8792e5f7251a1868408f52933cd269 100644
--- a/python/paddle/fluid/tests/unittests/ir/inference/test_conv_bias_mkldnn_fuse_pass.py
+++ b/python/paddle/fluid/tests/unittests/ir/inference/test_conv_bias_mkldnn_fuse_pass.py
@@ -20,11 +20,11 @@ from inference_pass_test import InferencePassTest
 import paddle.fluid as fluid
 import paddle.fluid.core as core
 from paddle.fluid.core import AnalysisConfig
-"""Test for fusion of conv and bias."""
+from paddle.fluid.core import PassVersionChecker
 
 
 #padding SAME
-class ConvBiasMkldnnFusePassTest(InferencePassTest):
+class ConvBiasMkldnnFusePassSamePadTest(InferencePassTest):
     def setUp(self):
         with fluid.program_guard(self.main_program, self.startup_program):
             data = fluid.data(
@@ -48,10 +48,12 @@ class ConvBiasMkldnnFusePassTest(InferencePassTest):
     def test_check_output(self):
         use_gpu = False
         self.check_output_with_option(use_gpu)
+        self.assertTrue(
+            PassVersionChecker.IsCompatible("conv_bias_mkldnn_fuse_pass"))
 
 
 #padding VALID
-class ConvBiasMkldnnFusePassTest1(InferencePassTest):
+class ConvBiasMkldnnFusePassValidPadTest(ConvBiasMkldnnFusePassSamePadTest):
     def setUp(self):
         with fluid.program_guard(self.main_program, self.startup_program):
             data = fluid.data(
@@ -72,13 +74,9 @@ class ConvBiasMkldnnFusePassTest1(InferencePassTest):
         self.fetch_list = [conv_out]
         self.enable_mkldnn = True
 
-    def test_check_output(self):
-        use_gpu = False
-        self.check_output_with_option(use_gpu)
-
 
-#padding number
-class ConvBiasMkldnnFusePassTest2(InferencePassTest):
+#padding EXPLICT NUMBER
+class ConvBiasMkldnnFusePassExplictPadTest(ConvBiasMkldnnFusePassSamePadTest):
     def setUp(self):
         with fluid.program_guard(self.main_program, self.startup_program):
             data = fluid.data(
@@ -99,13 +97,8 @@ class ConvBiasMkldnnFusePassTest2(InferencePassTest):
         self.fetch_list = [conv_out]
         self.enable_mkldnn = True
 
-    def test_check_output(self):
-        use_gpu = False
-        self.check_output_with_option(use_gpu)
-
 
-#dilation not supported yet, just print warning log and does not fuse
-class ConvBiasMkldnnFusePassTest3(InferencePassTest):
+class ConvBiasMkldnnFusePassGroupTest(ConvBiasMkldnnFusePassSamePadTest):
     def setUp(self):
         with fluid.program_guard(self.main_program, self.startup_program):
             data = fluid.data(
@@ -118,7 +111,6 @@ class ConvBiasMkldnnFusePassTest3(InferencePassTest):
                 num_filters=3,
                 filter_size=3,
                 padding="VALID",
-                dilation=2,
                 groups=3,
                 bias_attr=param_attr,
                 use_cudnn=False,
@@ -131,13 +123,9 @@ class ConvBiasMkldnnFusePassTest3(InferencePassTest):
         self.fetch_list = [conv_out]
         self.enable_mkldnn = True
 
-    def test_check_output(self):
-        use_gpu = False
-        self.check_output_with_option(use_gpu)
 
-
-#all conv params except for dilation
-class ConvBiasMkldnnFusePassTest4(InferencePassTest):
+class ConvBiasMkldnnFusePassDialtionsGroupsTest(
+        ConvBiasMkldnnFusePassSamePadTest):
     def setUp(self):
         with fluid.program_guard(self.main_program, self.startup_program):
             data = fluid.data(
@@ -150,6 +138,7 @@ class ConvBiasMkldnnFusePassTest4(InferencePassTest):
                 num_filters=3,
                 filter_size=3,
                 padding="VALID",
+                dilation=2,
                 groups=3,
                 bias_attr=param_attr,
                 use_cudnn=False,
@@ -162,9 +151,33 @@ class ConvBiasMkldnnFusePassTest4(InferencePassTest):
         self.fetch_list = [conv_out]
         self.enable_mkldnn = True
 
+
+class ConvTransposeMkldnnFusePassDialtionsGroupsTest(InferencePassTest):
+    def setUp(self):
+        with fluid.program_guard(self.main_program, self.startup_program):
+            data = fluid.data(name="data", shape=[-1, 3, 5, 5], dtype="float32")
+            param_attr = fluid.ParamAttr(
+                initializer=fluid.initializer.Xavier(uniform=False),
+                learning_rate=0.001)
+            conv_out = fluid.layers.conv2d_transpose(
+                input=data,
+                num_filters=3,
+                filter_size=3,
+                padding="SAME",
+                dilation=1,
+                bias_attr=param_attr,
+                use_cudnn=False)
+
+        self.feeds = {"data": np.random.random((1, 3, 5, 5)).astype("float32")}
+        self.fetch_list = [conv_out]
+        self.enable_mkldnn = True
+
     def test_check_output(self):
         use_gpu = False
         self.check_output_with_option(use_gpu)
+        self.assertTrue(
+            PassVersionChecker.IsCompatible(
+                "conv_transpose_bias_mkldnn_fuse_pass"))
 
 
 if __name__ == "__main__":