diff --git a/op_acc_stable_run.py b/op_acc_stable_run.py
index 4f6d2b9..2546371 100644
--- a/op_acc_stable_run.py
+++ b/op_acc_stable_run.py
@@ -82,7 +82,7 @@ def convert_framework(
                         inputs = torch.tensor(inputs)
                     inputs = inputs.cuda()
                     if requires_grad:
-                        inputs.requires_grad_(True)
+                        inputs.requires_grad_(False)
                     return inputs
         raise TypeError(str(type(inputs)))
 
@@ -92,10 +92,10 @@ def check_tensor_aadiff(x, y):
 
     assert x.dtype == y.dtype
     assert x.shape == y.shape
-    if x.dtype == paddle.bfloat16:
+    if x.dtype in [paddle.bool, paddle.bfloat16]:
         x = x.astype(paddle.float32)
         y = y.astype(paddle.float32)
-    assert paddle.max(paddle.abs(x - y)).numpy()[0] == 0, "aadiff check failed"
+    assert paddle.max(paddle.abs(x - y)).numpy() == 0, "aadiff check failed"
 
 
 def check_aadiff(x, y):
diff --git a/tests/all_test.py b/tests/all_test.py
new file mode 100644
index 0000000..69e722c
--- /dev/null
+++ b/tests/all_test.py
@@ -0,0 +1,45 @@
+# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+from op_acc_stable_run import check_tensor_diff, op_acc_stable_run
+import numpy as np
+
+class AllTest:
+    def __init__(self, shape):
+        self.shape = shape
+
+    def set_configs(self, paddle):
+        self.tmp_cache_path = "."
+        sample_arr = [True, False]
+        self.inputs = {
+            "x": paddle.to_tensor(np.random.choice(sample_arr, size=self.shape)),
+        }
+
+    def run_paddle(self, paddle):
+        x = self.inputs["x"]
+        y = paddle.all(x)
+        return y
+
+    def run_torch(self, torch):
+        x = self.inputs["x"]
+        y = torch.all(x)
+        return y
+
+    def check_diff(self, paddle, pd_ret, th_ret):
+        for pd, th in zip(pd_ret, th_ret):
+            check_tensor_diff(pd, th, atol=1e-6, rtol=1e-6)
+
+if __name__ == "__main__":
+    op_acc_stable_run(AllTest(shape = [1, 8192]))