diff --git a/python/paddle/fluid/layers/tensor.py b/python/paddle/fluid/layers/tensor.py
index b7e0e60145df3e229bdd029ffb12bdd75dd2f9f9..c5a28a913a285d29ba7c65aed499eabd8e960b60 100644
--- a/python/paddle/fluid/layers/tensor.py
+++ b/python/paddle/fluid/layers/tensor.py
@@ -68,7 +68,6 @@ __all__ = [
     'zeros_like',
     'ones_like',
     'diag',
-    'triu',
 ]
 
 
@@ -1830,10 +1829,3 @@ def ones_like(x, out=None):
         outputs={'Out': [out]},
     )
     return out
-
-
-@deprecated(since="2.0.0", update_to="paddle.triu")
-def triu(input, diagonal=0, name=None):
-    import paddle
-
-    return paddle.tensor.triu(x=input, diagonal=diagonal, name=name)
diff --git a/python/paddle/fluid/tests/unittests/mlu/test_tril_triu_op_mlu.py b/python/paddle/fluid/tests/unittests/mlu/test_tril_triu_op_mlu.py
index 2ed56de3c6d311e4556ab96b53d25a65e2902c8d..66b4a480bbf093f7179f89d67b03a7f2086a0435 100644
--- a/python/paddle/fluid/tests/unittests/mlu/test_tril_triu_op_mlu.py
+++ b/python/paddle/fluid/tests/unittests/mlu/test_tril_triu_op_mlu.py
@@ -184,7 +184,7 @@ class TestTrilTriuOpAPI(unittest.TestCase):
             with program_guard(prog, startup_prog):
                 data = np.random.random([1, 9, 9, 4]).astype(dtype)
                 x = fluid.data(shape=[1, 9, -1, 4], dtype=dtype, name='x')
-                triu_out = fluid.layers.triu(x)
+                triu_out = paddle.triu(x)
 
                 place = fluid.MLUPlace(0)
                 exe = fluid.Executor(place)
diff --git a/python/paddle/fluid/tests/unittests/npu/test_tril_triu_op_npu.py b/python/paddle/fluid/tests/unittests/npu/test_tril_triu_op_npu.py
index aca61989b7b638cd68ea70bef1c737d497a53f4a..83ecf1f5a6c9c31995cff84565932085330b38c1 100644
--- a/python/paddle/fluid/tests/unittests/npu/test_tril_triu_op_npu.py
+++ b/python/paddle/fluid/tests/unittests/npu/test_tril_triu_op_npu.py
@@ -185,7 +185,7 @@ class TestTrilTriuOpAPI(unittest.TestCase):
             with program_guard(prog, startup_prog):
                 data = np.random.random([1, 9, 9, 4]).astype(dtype)
                 x = fluid.data(shape=[1, 9, -1, 4], dtype=dtype, name='x')
-                triu_out = fluid.layers.triu(x)
+                triu_out = paddle.triu(x)
 
                 place = fluid.NPUPlace(0)
                 exe = fluid.Executor(place)
diff --git a/python/paddle/fluid/tests/unittests/test_tril_triu_op.py b/python/paddle/fluid/tests/unittests/test_tril_triu_op.py
index b6473f66a416b07fc3d9db0bacbe052ea9a642c8..b0b754dc9630d1bc7fd84a7a12d5be196cebbc35 100644
--- a/python/paddle/fluid/tests/unittests/test_tril_triu_op.py
+++ b/python/paddle/fluid/tests/unittests/test_tril_triu_op.py
@@ -183,7 +183,7 @@ class TestTrilTriuOpAPI(unittest.TestCase):
             with program_guard(prog, startup_prog):
                 data = np.random.random([1, 9, 9, 4]).astype(dtype)
                 x = fluid.data(shape=[1, 9, -1, 4], dtype=dtype, name='x')
-                triu_out = fluid.layers.triu(x)
+                triu_out = paddle.triu(x)
 
                 place = (
                     fluid.CUDAPlace(0)