diff --git a/.gitignore b/.gitignore
index 4b53cfd8591686efc8c92a169620e75620ddbac1..4ddcff8adc7d589edca16b507c760187464e431d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -53,6 +53,7 @@ model_test
 
 Testing
 tools/__pycache__
+tools/nvcc_lazy
 
 # This file is automatically generated.
 # TODO(zhiqiang) Move this file to build directory.
diff --git a/python/paddle/fluid/tests/unittests/ir/inference/test_conv_elementwise_add2_act_fuse_pass.py b/python/paddle/fluid/tests/unittests/ir/inference/test_conv_elementwise_add2_act_fuse_pass.py
index 90848f58a544a6c7c2e4823f18d2e5a7481b6596..2279db872c64d8c594f772a7b4b9f081aa99b555 100755
--- a/python/paddle/fluid/tests/unittests/ir/inference/test_conv_elementwise_add2_act_fuse_pass.py
+++ b/python/paddle/fluid/tests/unittests/ir/inference/test_conv_elementwise_add2_act_fuse_pass.py
@@ -12,18 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from auto_scan_test import PassAutoScanTest, SkipReasons
+from auto_scan_test import PassAutoScanTest
 from program_config import TensorConfig, ProgramConfig, OpConfig
 import numpy as np
-import paddle.inference as paddle_infer
-from functools import partial
-from typing import Optional, List, Callable, Dict, Any, Set
 import unittest
-
-import hypothesis
-from hypothesis import given, settings, seed, example, assume, reproduce_failure
+import os
 import hypothesis.strategies as st
 
+os.environ['NVIDIA_TF32_OVERRIDE'] = '0'
+
 
 class TestConvElementwiseAdd2ActPass(PassAutoScanTest):
     """
@@ -62,11 +59,11 @@ class TestConvElementwiseAdd2ActPass(PassAutoScanTest):
             return False
         if padding_algorithm == "VALID":
             if int(((input_shape[2] - (dilations[0] * (filter_shape[2] - 1) + 1)) / strides[0] + 1)) <= 0 or \
-            int(((input_shape[3] - (dilations[1] * (filter_shape[3] - 1) + 1)) / strides[1] + 1)) <= 0:
+                    int(((input_shape[3] - (dilations[1] * (filter_shape[3] - 1) + 1)) / strides[1] + 1)) <= 0:
                 return False
         if padding_algorithm == "EXPLICIT":
             if int(((input_shape[2] + paddings[0] + paddings[1] - (dilations[0] * (filter_shape[2] - 1) + 1)) / strides[0] + 1)) <= 0 or \
-                int(((input_shape[3] + paddings[2] + paddings[3] - (dilations[1] * (filter_shape[3] - 1) + 1)) / strides[1] + 1)) <= 0:
+                    int(((input_shape[3] + paddings[2] + paddings[3] - (dilations[1] * (filter_shape[3] - 1) + 1)) / strides[1] + 1)) <= 0:
                 return False
         if padding_algorithm == "SAME":
             if int((input_shape[2] + strides[0] - 1) / strides[0]) <= 0 or int(
@@ -137,17 +134,27 @@ class TestConvElementwiseAdd2ActPass(PassAutoScanTest):
 
             # 9. Generate legal elemntwise_add: X of conv2d
             bias_2_dict = dict()
-            bias_2_dict[1] = [x_shape[0], f_shape[0], \
-                int(((x_shape[2] + padding[0] + padding[1] - (dilations[0] * (f_shape[2] - 1) + 1)) / strides[0] + 1)), \
-                int(((x_shape[3] + padding[2] + padding[3] - (dilations[1] * (f_shape[3] - 1) + 1)) / strides[1] + 1))]
-
-            bias_2_dict[2] = [x_shape[0], f_shape[0], \
-                int((x_shape[2] + strides[0] - 1) / strides[0]), \
-                int((x_shape[3] + strides[1] - 1) / strides[1])]
-
-            bias_2_dict[3] = [x_shape[0], f_shape[0], \
-                int(((x_shape[2] - (dilations[0] * (f_shape[2] - 1) + 1)) / strides[0] + 1)), \
-                int(((x_shape[3] - (dilations[1] * (f_shape[3] - 1) + 1)) / strides[1] + 1))]
+            bias_2_dict[1] = [
+                x_shape[0], f_shape[0],
+                int(((x_shape[2] + padding[0] + padding[1] -
+                      (dilations[0] * (f_shape[2] - 1) + 1)) / strides[0] + 1)),
+                int(((x_shape[3] + padding[2] + padding[3] -
+                      (dilations[1] * (f_shape[3] - 1) + 1)) / strides[1] + 1))
+            ]
+
+            bias_2_dict[2] = [
+                x_shape[0], f_shape[0],
+                int((x_shape[2] + strides[0] - 1) / strides[0]),
+                int((x_shape[3] + strides[1] - 1) / strides[1])
+            ]
+
+            bias_2_dict[3] = [
+                x_shape[0], f_shape[0],
+                int(((x_shape[2] - (dilations[0] *
+                                    (f_shape[2] - 1) + 1)) / strides[0] + 1)),
+                int(((x_shape[3] - (dilations[1] *
+                                    (f_shape[3] - 1) + 1)) / strides[1] + 1))
+            ]
             bias_index = 1
             if padding_algorithm == "SAME":
                 bias_index = 2
diff --git a/python/paddle/fluid/tests/unittests/ir/inference/test_conv_elementwise_add_act_fuse_pass.py b/python/paddle/fluid/tests/unittests/ir/inference/test_conv_elementwise_add_act_fuse_pass.py
index 72e15c04d99412863aac6f50629db13dfd7b9a8f..8756625eaf1dfe425db05d0a1321582b215b8220 100755
--- a/python/paddle/fluid/tests/unittests/ir/inference/test_conv_elementwise_add_act_fuse_pass.py
+++ b/python/paddle/fluid/tests/unittests/ir/inference/test_conv_elementwise_add_act_fuse_pass.py
@@ -12,18 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from auto_scan_test import PassAutoScanTest, IgnoreReasons
+from auto_scan_test import PassAutoScanTest
 from program_config import TensorConfig, ProgramConfig, OpConfig
 import numpy as np
-import paddle.inference as paddle_infer
-from functools import partial
-from typing import Optional, List, Callable, Dict, Any, Set
 import unittest
-
-import hypothesis
-from hypothesis import given, settings, seed, example, assume, reproduce_failure
+import os
 import hypothesis.strategies as st
 
+os.environ['NVIDIA_TF32_OVERRIDE'] = '0'
+
 
 class TestConvElementwiseAddActPass(PassAutoScanTest):
     """
@@ -60,11 +57,11 @@ class TestConvElementwiseAddActPass(PassAutoScanTest):
             return False
         if padding_algorithm == "VALID":
             if ((input_shape[2] - (dilations[0] * (filter_shape[2] - 1) + 1)) / strides[0] + 1) <= 1 or \
-            ((input_shape[3] - (dilations[1] * (filter_shape[3] - 1) + 1)) / strides[1] + 1) <= 1:
+                    ((input_shape[3] - (dilations[1] * (filter_shape[3] - 1) + 1)) / strides[1] + 1) <= 1:
                 return False
         if padding_algorithm == "EXPLICIT":
             if ((input_shape[2] + paddings[0] + paddings[1] - (dilations[0] * (filter_shape[2] - 1) + 1)) / strides[0] + 1) <= 1 or \
-                ((input_shape[3] + paddings[2] + paddings[3] - (dilations[1] * (filter_shape[3] - 1) + 1)) / strides[1] + 1) <= 1:
+                    ((input_shape[3] + paddings[2] + paddings[3] - (dilations[1] * (filter_shape[3] - 1) + 1)) / strides[1] + 1) <= 1:
                 return False
         if data_format == "NCHW":
             if input_shape[1] != filter_shape[1] * groups:
diff --git a/python/paddle/fluid/tests/unittests/ir/inference/test_conv_eltwiseadd_bn_fuse_pass.py b/python/paddle/fluid/tests/unittests/ir/inference/test_conv_eltwiseadd_bn_fuse_pass.py
index 363ba4d765e7cccd64f14509909693ef224985fd..1fb0612c40243a3b876919f82ee8383b86721f3b 100755
--- a/python/paddle/fluid/tests/unittests/ir/inference/test_conv_eltwiseadd_bn_fuse_pass.py
+++ b/python/paddle/fluid/tests/unittests/ir/inference/test_conv_eltwiseadd_bn_fuse_pass.py
@@ -12,18 +12,16 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from auto_scan_test import PassAutoScanTest, SkipReasons
+from auto_scan_test import PassAutoScanTest
 from program_config import TensorConfig, ProgramConfig, OpConfig
 import numpy as np
-import paddle.inference as paddle_infer
-from functools import partial
-from typing import Optional, List, Callable, Dict, Any, Set
 import unittest
+import os
 
-import hypothesis
-from hypothesis import given, settings, seed, example, assume, reproduce_failure
 import hypothesis.strategies as st
 
+os.environ['NVIDIA_TF32_OVERRIDE'] = '0'
+
 
 class TestConvEltwiseaddBnFusePass(PassAutoScanTest):
     """
@@ -69,11 +67,11 @@ class TestConvEltwiseaddBnFusePass(PassAutoScanTest):
             return False
         if padding_algorithm == "VALID":
             if ((input_shape[2] - (dilations[0] * (filter_shape[2] - 1) + 1)) / strides[0] + 1) <= 1 or \
-            ((input_shape[3] - (dilations[1] * (filter_shape[3] - 1) + 1)) / strides[1] + 1) <= 1:
+                    ((input_shape[3] - (dilations[1] * (filter_shape[3] - 1) + 1)) / strides[1] + 1) <= 1:
                 return False
         if padding_algorithm == "EXPLICIT":
             if ((input_shape[2] + paddings[0] + paddings[1] - (dilations[0] * (filter_shape[2] - 1) + 1)) / strides[0] + 1) <= 1 or \
-                ((input_shape[3] + paddings[2] + paddings[3] - (dilations[1] * (filter_shape[3] - 1) + 1)) / strides[1] + 1) <= 1:
+                    ((input_shape[3] + paddings[2] + paddings[3] - (dilations[1] * (filter_shape[3] - 1) + 1)) / strides[1] + 1) <= 1:
                 return False
 
         if data_format == "NCHW":