update; test=develop

python/paddle/fluid/tests/unittests/test_bitwise_op.py

@@ -24,6 +24,7 @@ paddle.enable_static()
 class TestBitwiseAnd(OpTest):
     def setUp(self):
         self.op_type = "bitwise_and"
+        self.python_api = paddle.bitwise_and
         self.init_dtype()
         self.init_shape()
         self.init_bound()
@@ -94,6 +95,7 @@ class TestBitwiseAndInt64(TestBitwiseAnd):
 class TestBitwiseAndBool(TestBitwiseAnd):
     def setUp(self):
         self.op_type = "bitwise_and"
+        self.python_api = paddle.bitwise_and
         self.init_shape()
 
         x = np.random.choice([True, False], self.x_shape)
@@ -108,6 +110,7 @@ class TestBitwiseAndBool(TestBitwiseAnd):
 class TestBitwiseOr(OpTest):
     def setUp(self):
         self.op_type = "bitwise_or"
+        self.python_api = paddle.bitwise_or
         self.init_dtype()
         self.init_shape()
         self.init_bound()
@@ -178,6 +181,7 @@ class TestBitwiseOrInt64(TestBitwiseOr):
 class TestBitwiseOrBool(TestBitwiseOr):
     def setUp(self):
         self.op_type = "bitwise_or"
+        self.python_api = paddle.bitwise_or
         self.init_shape()
 
         x = np.random.choice([True, False], self.x_shape)
@@ -192,6 +196,7 @@ class TestBitwiseOrBool(TestBitwiseOr):
 class TestBitwiseXor(OpTest):
     def setUp(self):
         self.op_type = "bitwise_xor"
+        self.python_api = paddle.bitwise_xor
         self.init_dtype()
         self.init_shape()
         self.init_bound()
@@ -262,6 +267,7 @@ class TestBitwiseXorInt64(TestBitwiseXor):
 class TestBitwiseXorBool(TestBitwiseXor):
     def setUp(self):
         self.op_type = "bitwise_xor"
+        self.python_api = paddle.bitwise_xor
         self.init_shape()
 
         x = np.random.choice([True, False], self.x_shape)

python/paddle/tensor/logic.py

@@ -503,6 +503,9 @@ def bitwise_and(x, y, out=None, name=None):
             res = paddle.bitwise_and(x, y)
             print(res)  # [0, 2, 1]
     """
+    if _in_eager_mode() and out == None:
+        return _C_ops.final_state_bitwise_and(x, y)
+
     return _bitwise_op(
         op_name="bitwise_and", x=x, y=y, name=name, out=out, binary_op=True)
 
@@ -529,6 +532,9 @@ def bitwise_or(x, y, out=None, name=None):
             res = paddle.bitwise_or(x, y)
             print(res)  # [-1, -1, -3]
     """
+    if _in_eager_mode() and out == None:
+        return _C_ops.final_state_bitwise_or(x, y)
+
     return _bitwise_op(
         op_name="bitwise_or", x=x, y=y, name=name, out=out, binary_op=True)
 
@@ -555,6 +561,9 @@ def bitwise_xor(x, y, out=None, name=None):
             res = paddle.bitwise_xor(x, y)
             print(res) # [-1, -3, -4]
     """
+    if _in_eager_mode() and out == None:
+        return _C_ops.final_state_bitwise_xor(x, y)
+
     return _bitwise_op(
         op_name="bitwise_xor", x=x, y=y, name=name, out=out, binary_op=True)
 
@@ -580,7 +589,7 @@ def bitwise_not(x, out=None, name=None):
             print(res) # [4, 0, -2]
     """
     if _in_eager_mode() and out == None:
-        return _C_op.final_state_bitwise_not(x)
+        return _C_ops.final_state_bitwise_not(x)
     return _bitwise_op(
         op_name="bitwise_not", x=x, y=None, name=name, out=out, binary_op=False)
 

python/paddle/utils/code_gen/api.yaml

@@ -538,32 +538,32 @@
 
 
 # bitwise_and
-# - api : bitwise_and
-#   args : (Tensor x, Tensor y)
-#   output : Tensor
-#   infer_meta :
-#     func : BitwiseInferMeta
-#   kernel :
-#     func : bitwise_and
+- api : bitwise_and
+  args : (Tensor x, Tensor y)
+  output : Tensor
+  infer_meta :
+    func : ElementwiseInferMeta
+  kernel :
+    func : bitwise_and
 
-# # bitwise_or
-# - api : bitwise_or
-#   args : (Tensor x, Tensor y)
-#   output : Tensor
-#   infer_meta :
-#     func : BitwiseInferMeta
-#   kernel :
-#     func : bitwise_or
+# bitwise_or
+- api : bitwise_or
+  args : (Tensor x, Tensor y)
+  output : Tensor
+  infer_meta :
+    func : ElementwiseInferMeta
+  kernel :
+    func : bitwise_or
 
 
-# # bitwise_xor
-# - api : bitwise_xor
-#   args : (Tensor x, Tensor y)
-#   output : Tensor
-#   infer_meta :
-#     func : BitwiseInferMeta
-#   kernel :
-#     func : bitwise_xor
+# bitwise_xor
+- api : bitwise_xor
+  args : (Tensor x, Tensor y)
+  output : Tensor
+  infer_meta :
+    func : ElementwiseInferMeta
+  kernel :
+    func : bitwise_xor
 
 # bitwise_not
 - api : bitwise_not