diff --git a/python/paddle/fluid/dygraph/math_op_patch.py b/python/paddle/fluid/dygraph/math_op_patch.py
index 1a73e6b5e9ae0607476f420bf3e2eaf8fa252463..b82434d0588accd967c1929d4380427ce90b17ee 100644
--- a/python/paddle/fluid/dygraph/math_op_patch.py
+++ b/python/paddle/fluid/dygraph/math_op_patch.py
@@ -114,27 +114,21 @@ def monkey_patch_math_tensor():
         ), "only one element variable can be converted to float."
         tensor = var.value().get_tensor()
         assert tensor._is_initialized(), "variable's tensor is not initialized"
-        if var.dtype == core.VarDesc.VarType.BF16:
-            var = var.astype('float32')
-        return float(np.array(var))
+        return float(np.array(var).flatten()[0])
 
     def _long_(var):
         numel = np.prod(var.shape)
         assert numel == 1, "only one element variable can be converted to long."
         tensor = var.value().get_tensor()
         assert tensor._is_initialized(), "variable's tensor is not initialized"
-        if var.dtype == core.VarDesc.VarType.BF16:
-            var = var.astype('float32')
-        return int(np.array(var))
+        return int(np.array(var).flatten()[0])
 
     def _int_(var):
         numel = np.prod(var.shape)
         assert numel == 1, "only one element variable can be converted to int."
         tensor = var.value().get_tensor()
         assert tensor._is_initialized(), "variable's tensor is not initialized"
-        if var.dtype == core.VarDesc.VarType.BF16:
-            var = var.astype('float32')
-        return int(np.array(var))
+        return int(np.array(var).flatten()[0])
 
     def _len_(var):
         assert var.ndim > 0, "len() of a 0-D tensor is wrong"
@@ -152,9 +146,7 @@ def monkey_patch_math_tensor():
         ), "only one element variable can be converted to python index."
         tensor = var.value().get_tensor()
         assert tensor._is_initialized(), "variable's tensor is not initialized"
-        if var.dtype == core.VarDesc.VarType.BF16:
-            var = var.astype('float32')
-        return int(np.array(var))
+        return int(np.array(var).flatten()[0])
 
     @property
     def _ndim_(var):
diff --git a/test/legacy_test/test_math_op_patch_var_base.py b/test/legacy_test/test_math_op_patch_var_base.py
index c392fb972697d4f4a8ae9cefeaffa8c8d2753014..0100f364bcddf58155742c9bce9f892d545173b4 100644
--- a/test/legacy_test/test_math_op_patch_var_base.py
+++ b/test/legacy_test/test_math_op_patch_var_base.py
@@ -242,11 +242,6 @@ class TestMathOpPatchesVarBase(unittest.TestCase):
             self.assertTrue(int(a) == 100)
             self.assertTrue(int(a) == 100)
 
-        a = paddle.to_tensor(1000000.0, dtype='bfloat16')
-        self.assertTrue(float(a) == 999424.0)
-        self.assertTrue(int(a) == 999424)
-        self.assertTrue(int(a) == 999424)
-
     def test_len(self):
         a_np = np.random.uniform(-1, 1, self.shape).astype(self.dtype)
         with fluid.dygraph.guard():
@@ -265,16 +260,6 @@ class TestMathOpPatchesVarBase(unittest.TestCase):
             str1 = "just test"
             self.assertTrue(str1[var1] == 's')
 
-        var1 = paddle.to_tensor(2.0, dtype='bfloat16')
-        i_tmp = 0
-        for i in range(var1):
-            self.assertTrue(i == i_tmp)
-            i_tmp = i_tmp + 1
-        list1 = [1, 2, 3, 4, 5]
-        self.assertTrue(list1[var1] == 3)
-        str1 = "just test"
-        self.assertTrue(str1[var1] == 's')
-
     def test_np_left_mul(self):
         with fluid.dygraph.guard():
             t = np.sqrt(2.0 * np.pi)