fix unittest wrong python api entry point

Author: youge325

python/paddle/_paddle_docs.py

@@ -3125,8 +3125,9 @@ def asin(
 def bitwise_and(
     x: Tensor,
     y: Tensor,
-    out: Tensor | None = None,
     name: str | None = None,
+    *,
+    out: Tensor | None = None,
 ) -> Tensor
 """,
 )

test/legacy_test/test_bitwise_op.py

@@ -27,7 +27,7 @@
 class TestBitwiseAnd(OpTest):
     def setUp(self):
         self.op_type = "bitwise_and"
-        self.python_api = paddle.tensor.logic.bitwise_and
+        self.python_api = paddle.bitwise_and
         self.init_dtype()
         self.init_shape()
         self.init_bound()
@@ -120,7 +120,7 @@ def init_shape(self):
 class TestBitwiseAndBool(TestBitwiseAnd):
     def setUp(self):
         self.op_type = "bitwise_and"
-        self.python_api = paddle.tensor.logic.bitwise_and
+        self.python_api = paddle.bitwise_and
 
         self.init_shape()
 
@@ -252,8 +252,8 @@ class TestElementwiseBitwiseAndOp_Stride(OpTest):
 
     def setUp(self):
         self.op_type = "bitwise_and"
-        self.python_api = paddle.tensor.logic.bitwise_and
-        self.public_python_api = paddle.tensor.logic.bitwise_and
+        self.python_api = paddle.bitwise_and
+        self.public_python_api = paddle.bitwise_and
         self.transpose_api = paddle.transpose
         self.as_stride_api = paddle.as_strided
         self.init_dtype()
@@ -404,7 +404,7 @@ def init_data(self):
 class TestBitwiseOr(OpTest):
     def setUp(self):
         self.op_type = "bitwise_or"
-        self.python_api = paddle.tensor.logic.bitwise_or
+        self.python_api = paddle.bitwise_or
         self.init_dtype()
         self.init_shape()
         self.init_bound()
@@ -497,7 +497,7 @@ def init_shape(self):
 class TestBitwiseOrBool(TestBitwiseOr):
     def setUp(self):
         self.op_type = "bitwise_or"
-        self.python_api = paddle.tensor.logic.bitwise_or
+        self.python_api = paddle.bitwise_or
 
         self.init_shape()
 
@@ -518,8 +518,8 @@ class TestElementwiseBitwiseOrOp_Stride(OpTest):
 
     def setUp(self):
         self.op_type = "bitwise_or"
-        self.python_api = paddle.tensor.logic.bitwise_or
-        self.public_python_api = paddle.tensor.logic.bitwise_or
+        self.python_api = paddle.bitwise_or
+        self.public_python_api = paddle.bitwise_or
         self.transpose_api = paddle.transpose
         self.as_stride_api = paddle.as_strided
         self.init_dtype()
@@ -670,7 +670,7 @@ def init_data(self):
 class TestBitwiseXor(OpTest):
     def setUp(self):
         self.op_type = "bitwise_xor"
-        self.python_api = paddle.tensor.logic.bitwise_xor
+        self.python_api = paddle.bitwise_xor
 
         self.init_dtype()
         self.init_shape()
@@ -764,7 +764,7 @@ def init_shape(self):
 class TestBitwiseXorBool(TestBitwiseXor):
     def setUp(self):
         self.op_type = "bitwise_xor"
-        self.python_api = paddle.tensor.logic.bitwise_xor
+        self.python_api = paddle.bitwise_xor
 
         self.init_shape()
 
@@ -785,8 +785,8 @@ class TestElementwiseBitwiseXorOp_Stride(OpTest):
 
     def setUp(self):
         self.op_type = "bitwise_xor"
-        self.python_api = paddle.tensor.logic.bitwise_xor
-        self.public_python_api = paddle.tensor.logic.bitwise_xor
+        self.python_api = paddle.bitwise_xor
+        self.public_python_api = paddle.bitwise_xor
         self.transpose_api = paddle.transpose
         self.as_stride_api = paddle.as_strided
         self.init_dtype()
@@ -937,7 +937,7 @@ def init_data(self):
 class TestBitwiseNot(OpTest):
     def setUp(self):
         self.op_type = "bitwise_not"
-        self.python_api = paddle.tensor.logic.bitwise_not
+        self.python_api = paddle.bitwise_not
 
         self.init_dtype()
         self.init_shape()
@@ -1016,7 +1016,7 @@ def init_shape(self):
 class TestBitwiseNotBool(TestBitwiseNot):
     def setUp(self):
         self.op_type = "bitwise_not"
-        self.python_api = paddle.tensor.logic.bitwise_not
+        self.python_api = paddle.bitwise_not
         self.init_shape()
 
         x = np.random.choice([True, False], self.x_shape)