diff --git a/python/jittor/__init__.py b/python/jittor/__init__.py
index a5865529..9bbe14f6 100644
--- a/python/jittor/__init__.py
+++ b/python/jittor/__init__.py
@@ -9,7 +9,7 @@
 # file 'LICENSE.txt', which is part of this source code package.
 # ***************************************************************
 
-__version__ = '1.3.5.17'
+__version__ = '1.3.5.18'
 from jittor_utils import lock
 with lock.lock_scope():
     ori_int = int
diff --git a/python/jittor/misc.py b/python/jittor/misc.py
index f536d0c1..05983449 100644
--- a/python/jittor/misc.py
+++ b/python/jittor/misc.py
@@ -762,11 +762,14 @@ jt.Var.deg2rad = deg2rad
 
 def arctan2(y,x):
     angle = jt.zeros(x.shape,dtype=x.dtype)
-    x = (x!=0.0).ternary(x, x+1e-30)
+    x = (x!=0.0).ternary(x, 1e-30)
     angle = (y/x).arctan()
-    mask = y<0 | ((y==0) & (x<0))
+    mask = (x<0)&(y<0)
+    angle = angle - mask*np.pi
+    mask = (x<0)&(y>=0)
     angle = angle + mask*np.pi
     return angle
+atan2 = arctan2
 
 
 def nonzero(x):
diff --git a/python/jittor/src/misc/nano_string.cc b/python/jittor/src/misc/nano_string.cc
index e429c9cf..63fd311c 100644
--- a/python/jittor/src/misc/nano_string.cc
+++ b/python/jittor/src/misc/nano_string.cc
@@ -95,6 +95,21 @@ static unordered_set<string> float_ops = {
     "sqrt",
     "mean",
     "divide",
+    "sin",
+    "asin",
+    "sinh",
+    "asinh",
+    "tan",
+    "atan",
+    "tanh",
+    "atanh",
+    "cos",
+    "acos",
+    "cosh",
+    "acosh",
+    "sigmoid",
+    "erf",
+    "erfinv"
 };
 static unordered_set<string> int_ops = {
     "round_int",
diff --git a/python/jittor/test/test_misc_op.py b/python/jittor/test/test_misc_op.py
index f22ec1d1..84764df6 100644
--- a/python/jittor/test/test_misc_op.py
+++ b/python/jittor/test/test_misc_op.py
@@ -256,14 +256,19 @@ class TestOther(unittest.TestCase):
         assert (x[3]['b'] == np.array([1,2,3])).all()
 
     def test_arctan2(self):
-        a = jt.arctan2(jt.array([1,1.0,0]), jt.array([1,0.0,-1]))
-        np.testing.assert_allclose(a.data, [0.7853982,1.5707964,3.1415927])
-
-        y = jt.random((100,))
-        x = jt.random((100,))
+        x = jt.float32([1,1,-1,-1,  1,-1,0,0,0])
+        y = jt.float32([-1,1,-1,1,  0,0,1,-1,0])
         z = jt.arctan2(y, x)
         z2 = np.arctan2(y.data, x.data)
         np.testing.assert_allclose(z.data, z2, atol=1e-6)
+        
+        y = jt.random((100,)) * 2 - 1
+        x = jt.random((100,)) * 2 - 1
+        z = jt.arctan2(y, x)
+        z2 = np.arctan2(y.data, x.data)
+        np.testing.assert_allclose(z.data, z2, atol=1e-6)
+
+        np.testing.assert_allclose(jt.array([1]).arctan().item(), 0.7853982)
 
     def test_softmax_precision(self):
         # jt.flags.use_cuda = 1