diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec
index df3497de209e3b6ede6986e1ac5f92c4427ca9bd..68c6c8fd67db9f4428d612e86305fa0ba5f98a50 100644
--- a/paddle/fluid/API.spec
+++ b/paddle/fluid/API.spec
@@ -293,6 +293,7 @@ paddle.fluid.layers.sigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=
 paddle.fluid.layers.logsigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '81ccb7acafd06c7728e11581f5d342e3'))
 paddle.fluid.layers.exp (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'e6b3e769413d96aab4176f96db25984b'))
 paddle.fluid.layers.tanh (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'e9d586a0b5bd05f67ee78048f9d503b6'))
+paddle.fluid.layers.atan (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '3a46e0b5f9ce82348406478e610f14c9'))
 paddle.fluid.layers.tanh_shrink (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '1e521554b9fdda9061ec6d306f0709b7'))
 paddle.fluid.layers.softshrink (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '9eef31597bbafa2bd49691e072296e13'))
 paddle.fluid.layers.sqrt (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '072a8541e0f632366bba10f67cb0db27'))
@@ -300,6 +301,8 @@ paddle.fluid.layers.abs (ArgSpec(args=['x', 'name'], varargs=None, keywords=None
 paddle.fluid.layers.ceil (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'c75d67dc5fe28f68e4cfffead4f698ad'))
 paddle.fluid.layers.floor (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '647b16c5da5ef909649ae02abb434973'))
 paddle.fluid.layers.cos (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '485f2686bcc2fe37a4bd893769c8a3e2'))
+paddle.fluid.layers.acos (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '920a47734482276c069ba24c61c26b25'))
+paddle.fluid.layers.asin (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'cf4ee2c9b9d7293556f8c5173dfb5d2c'))
 paddle.fluid.layers.sin (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '01f1766aa76eff1df30147505b59f7c4'))
 paddle.fluid.layers.round (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'b47f5da13913d3e56bdb1e612a73f3f2'))
 paddle.fluid.layers.reciprocal (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'cc6ac2f14f03c52aaa83a59bf83b8d26'))
diff --git a/paddle/fluid/operators/activation_op.cc b/paddle/fluid/operators/activation_op.cc
index 2feb8e4c4787440fd086c597fa2a7f97204e34ac..f79960317aa1bac7ae9f8d80e4886dde8fe8ebcb 100644
--- a/paddle/fluid/operators/activation_op.cc
+++ b/paddle/fluid/operators/activation_op.cc
@@ -13,7 +13,9 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "paddle/fluid/operators/activation_op.h"
+#include <memory>
 #include <string>
+#include <unordered_map>
 #include "paddle/fluid/operators/mkldnn/mkldnn_activation_op.h"
 #include "paddle/fluid/platform/port.h"
 #ifdef PADDLE_WITH_CUDA
@@ -269,6 +271,48 @@ $$out = \\frac{x}{1 + \|x\|}$$
 
 )DOC";
 
+class AcosOpMaker : public framework::OpProtoAndCheckerMaker {
+ public:
+  void Make() override {
+    AddInput("X", "Input of acos operator");
+    AddOutput("Out", "Output of acos operator");
+    AddComment(R"DOC(
+Arccosine Activation Operator.
+
+$$out = \cos^{-1}(x)$$
+
+)DOC");
+  }
+};
+
+class AsinOpMaker : public framework::OpProtoAndCheckerMaker {
+ public:
+  void Make() override {
+    AddInput("X", "Input of asin operator");
+    AddOutput("Out", "Output of asin operator");
+    AddComment(R"DOC(
+Arcsine Activation Operator.
+
+$$out = \sin^{-1}(x)$$
+
+)DOC");
+  }
+};
+
+class AtanOpMaker : public framework::OpProtoAndCheckerMaker {
+ public:
+  void Make() override {
+    AddInput("X", "Input of atan operator");
+    AddOutput("Out", "Output of atan operator");
+    AddComment(R"DOC(
+Arctanh Activation Operator.
+
+$$out = \tanh^{-1}(x)$$
+
+)DOC");
+  }
+};
+
 class LeakyReluOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
   void Make() override {
@@ -543,7 +587,10 @@ namespace ops = paddle::operators;
   __macro(SoftShrink, softshrink);   \
   __macro(Abs, abs);                 \
   __macro(Cos, cos);                 \
+  __macro(Acos, acos);               \
   __macro(Sin, sin);                 \
+  __macro(Asin, asin);               \
+  __macro(Atan, atan);               \
   __macro(Round, round);             \
   __macro(Log, log);                 \
   __macro(Square, square);           \
diff --git a/paddle/fluid/operators/activation_op.h b/paddle/fluid/operators/activation_op.h
index 1f5ae7fb5cd2e1c14190602d2c35e6c3755cfd70..ff7e623f6f383ed2a8b8a40b3186d9c439ff1d86 100644
--- a/paddle/fluid/operators/activation_op.h
+++ b/paddle/fluid/operators/activation_op.h
@@ -39,9 +39,8 @@ namespace operators {
    Please refer to the layer_helper.py and get the details.
  */
 static std::unordered_set<std::string> InplaceOpSet = {
-    "sigmoid", "exp",        "relu",  "tanh",      "sqrt",         "ceil",
-    "floor",   "reciprocal", "relu6", "soft_relu", "hard_sigmoid",
-};
+    "sigmoid", "exp",        "relu",  "tanh",      "sqrt",        "ceil",
+    "floor",   "reciprocal", "relu6", "soft_relu", "hard_sigmoid"};
 
 static bool IsInplace(const std::string& op) {
   bool inplace = InplaceOpSet.count(op);
@@ -553,6 +552,101 @@ struct SinFunctor : public BaseActivationFunctor<T> {
   }
 };
 
+template <typename T>
+struct Acos {
+  HOSTDEVICE T operator()(const T& val) const { return acos(val); }
+};
+
+template <>
+struct Acos<platform::float16> {
+  HOSTDEVICE platform::float16 operator()(const platform::float16& val) const {
+    return platform::float16(acos(static_cast<float>(val)));
+  }
+};
+
+// Acos(x) = acos(x)
+template <typename T>
+struct AcosFunctor : public BaseActivationFunctor<T> {
+  template <typename Device, typename X, typename Out>
+  void operator()(Device d, X x, Out out) const {
+    out.device(d) = x.unaryExpr(Acos<T>());
+  }
+};
+
+// acos'(x) = -1/sqrt(1-x^2)
+template <typename T>
+struct AcosGradFunctor : public BaseActivationFunctor<T> {
+  template <typename Device, typename X, typename Out, typename dOut,
+            typename dX>
+  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
+    dx.device(d) =
+        -dout * static_cast<T>(1) / (static_cast<T>(1) - x.square()).sqrt();
+  }
+};
+
+template <typename T>
+struct Asin {
+  HOSTDEVICE T operator()(const T& val) const { return asin(val); }
+};
+
+template <>
+struct Asin<platform::float16> {
+  HOSTDEVICE platform::float16 operator()(const platform::float16& val) const {
+    return platform::float16(asin(static_cast<float>(val)));
+  }
+};
+
+// Asin(x) = asin(x)
+template <typename T>
+struct AsinFunctor : public BaseActivationFunctor<T> {
+  template <typename Device, typename X, typename Out>
+  void operator()(Device d, X x, Out out) const {
+    out.device(d) = x.unaryExpr(Asin<T>());
+  }
+};
+
+// asin'(x) = 1/sqrt(1-x^2)
+template <typename T>
+struct AsinGradFunctor : public BaseActivationFunctor<T> {
+  template <typename Device, typename X, typename Out, typename dOut,
+            typename dX>
+  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
+    dx.device(d) =
+        dout * static_cast<T>(1) / (static_cast<T>(1) - x.square()).sqrt();
+  }
+};
+
+template <typename T>
+struct Atan {
+  HOSTDEVICE T operator()(const T& val) const { return atan(val); }
+};
+
+template <>
+struct Atan<platform::float16> {
+  HOSTDEVICE platform::float16 operator()(const platform::float16& val) const {
+    return platform::float16(atan(static_cast<float>(val)));
+  }
+};
+
+// Atan(x) = atan(x)
+template <typename T>
+struct AtanFunctor : public BaseActivationFunctor<T> {
+  template <typename Device, typename X, typename Out>
+  void operator()(Device d, X x, Out out) const {
+    out.device(d) = x.unaryExpr(Atan<T>());
+  }
+};
+
+// atan'(x) =  1 / (1 + x^2)
+template <typename T>
+struct AtanGradFunctor : public BaseActivationFunctor<T> {
+  template <typename Device, typename X, typename Out, typename dOut,
+            typename dX>
+  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
+    dx.device(d) = dout * static_cast<T>(1) / (static_cast<T>(1) + x.square());
+  }
+};
+
 // round(x) = [x]
 template <typename T>
 struct RoundFunctor : public BaseActivationFunctor<T> {
@@ -1001,13 +1095,16 @@ struct SwishGradFunctor : public BaseActivationFunctor<T> {
   __macro(relu, ReluFunctor, ReluGradFunctor);                       \
   __macro(gelu, GeluFunctor, GeluGradFunctor);                       \
   __macro(tanh, TanhFunctor, TanhGradFunctor);                       \
+  __macro(atan, AtanFunctor, AtanGradFunctor);                       \
   __macro(softshrink, SoftShrinkFunctor, SoftShrinkGradFunctor);     \
   __macro(sqrt, SqrtFunctor, SqrtGradFunctor);                       \
   __macro(abs, AbsFunctor, AbsGradFunctor);                          \
   __macro(ceil, CeilFunctor, ZeroGradFunctor);                       \
   __macro(floor, FloorFunctor, ZeroGradFunctor);                     \
   __macro(cos, CosFunctor, CosGradFunctor);                          \
+  __macro(acos, AcosFunctor, AcosGradFunctor);                       \
   __macro(sin, SinFunctor, SinGradFunctor);                          \
+  __macro(asin, AsinFunctor, AsinGradFunctor);                       \
   __macro(round, RoundFunctor, ZeroGradFunctor);                     \
   __macro(reciprocal, ReciprocalFunctor, ReciprocalGradFunctor);     \
   __macro(log, LogFunctor, LogGradFunctor);                          \
diff --git a/python/paddle/fluid/layers/ops.py b/python/paddle/fluid/layers/ops.py
index 4381727a090bdb1d13fb692e64e8d6fb69bba0d7..f018bb8af8cc9f7ed965c86d5aff40352014c393 100644
--- a/python/paddle/fluid/layers/ops.py
+++ b/python/paddle/fluid/layers/ops.py
@@ -23,6 +23,7 @@ __activations_noattr__ = [
     'logsigmoid',
     'exp',
     'tanh',
+    'atan',
     'tanh_shrink',
     'softshrink',
     'sqrt',
@@ -30,6 +31,8 @@ __activations_noattr__ = [
     'ceil',
     'floor',
     'cos',
+    'acos',
+    'asin',
     'sin',
     'round',
     'reciprocal',
diff --git a/python/paddle/fluid/tests/unittests/test_activation_op.py b/python/paddle/fluid/tests/unittests/test_activation_op.py
index d5a838540994abcd1407fd258e723218670bfb58..d587715d607c6da16da5c009db16322e8cd7d176 100644
--- a/python/paddle/fluid/tests/unittests/test_activation_op.py
+++ b/python/paddle/fluid/tests/unittests/test_activation_op.py
@@ -100,6 +100,23 @@ class TestTanh(TestActivation):
         self.check_grad(['X'], 'Out', max_relative_error=0.007)
 
 
+class TestAtan(TestActivation):
+    def setUp(self):
+        self.op_type = "atan"
+        self.init_dtype()
+
+        x = np.random.uniform(0.1, 1, [11, 17]).astype(self.dtype)
+        out = np.arctan(x)
+
+        self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)}
+        self.outputs = {'Out': out}
+
+    def test_check_grad(self):
+        if self.dtype == np.float16:
+            return
+        self.check_grad(['X'], 'Out', max_relative_error=0.007)
+
+
 class TestTanhShrink(TestActivation):
     def setUp(self):
         self.op_type = "tanh_shrink"
@@ -248,6 +265,23 @@ class TestCos(TestActivation):
         self.check_grad(['X'], 'Out', max_relative_error=0.007)
 
 
+class TestAcos(TestActivation):
+    def setUp(self):
+        self.op_type = "acos"
+        self.init_dtype()
+
+        x = np.random.uniform(-1, 1, [4, 4]).astype(self.dtype)
+        out = np.arccos(x)
+
+        self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)}
+        self.outputs = {'Out': out}
+
+    def test_check_grad(self):
+        if self.dtype == np.float16:
+            return
+        self.check_grad(['X'], 'Out', max_relative_error=0.007)
+
+
 class TestSin(TestActivation):
     def setUp(self):
         self.op_type = "sin"
@@ -265,6 +299,23 @@ class TestSin(TestActivation):
         self.check_grad(['X'], 'Out', max_relative_error=0.007)
 
 
+class TestAsin(TestActivation):
+    def setUp(self):
+        self.op_type = "asin"
+        self.init_dtype()
+
+        x = np.random.uniform(-1, 1, [4, 4]).astype(self.dtype)
+        out = np.arcsin(x)
+
+        self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)}
+        self.outputs = {'Out': out}
+
+    def test_check_grad(self):
+        if self.dtype == np.float16:
+            return
+        self.check_grad(['X'], 'Out', max_relative_error=0.007)
+
+
 class TestRound(TestActivation):
     def setUp(self):
         self.op_type = "round"
@@ -665,7 +716,10 @@ create_test_act_fp16_class(TestAbs)
 create_test_act_fp16_class(TestCeil, grad_check=False)
 create_test_act_fp16_class(TestFloor, grad_check=False)
 create_test_act_fp16_class(TestCos, grad_atol=0.85)
+create_test_act_fp16_class(TestAcos, grad_atol=0.85)
 create_test_act_fp16_class(TestSin)
+create_test_act_fp16_class(TestAsin)
+create_test_act_fp16_class(TestAtan)
 create_test_act_fp16_class(TestRound, grad_check=False)
 create_test_act_fp16_class(TestRelu)
 create_test_act_fp16_class(TestGelu)