diff --git a/paddle/fluid/operators/math/blas.h b/paddle/fluid/operators/math/blas.h
index fc02534a696222050045f0c35de313c5e55e91c3..5aba170221fa9d5a9b686af83a92385a4d7f48bb 100644
--- a/paddle/fluid/operators/math/blas.h
+++ b/paddle/fluid/operators/math/blas.h
@@ -149,6 +149,9 @@ class Blas {
   template <typename T>
   void VCOPY(int n, const T* x, T* y) const;
 
+  template <typename T>
+  void VEXP(int n, const T* x, T* y) const;
+
   template <typename T>
   void GEMV(bool trans_a, int M, int N, T alpha, const T* A, const T* B, T beta,
             T* C) const;
diff --git a/paddle/fluid/operators/math/blas_impl.h b/paddle/fluid/operators/math/blas_impl.h
index b7c56e8df18f70df95f0b5bcdc07dbb753ff9035..eaad83ba18248eee57a39ab7889ac462b4baac4e 100644
--- a/paddle/fluid/operators/math/blas_impl.h
+++ b/paddle/fluid/operators/math/blas_impl.h
@@ -97,6 +97,11 @@ struct CBlas<float> {
   static void VMUL(ARGS... args) {
     platform::dynload::vsMul(args...);
   }
+
+  template <typename... ARGS>
+  static void VEXP(ARGS... args) {
+    platform::dynload::vsExp(args...);
+  }
 };
 
 template <>
@@ -172,6 +177,11 @@ struct CBlas<double> {
   static void VMUL(ARGS... args) {
     platform::dynload::vdMul(args...);
   }
+
+  template <typename... ARGS>
+  static void VEXP(ARGS... args) {
+    platform::dynload::vdExp(args...);
+  }
 };
 
 #else
@@ -230,6 +240,7 @@ struct CBlas<platform::float16> {
     PADDLE_THROW("float16 SMM_GEMM not supported on CPU");
   }
   static void VMUL(...) { PADDLE_THROW("float16 VMUL not supported on CPU"); }
+  static void VEXP(...) { PADDLE_THROW("float16 VEXP not supported on CPU"); }
   static void DOT(...) { PADDLE_THROW("float16 DOT not supported on CPU"); };
   static void SCAL(...) { PADDLE_THROW("float16 SCAL not supported on CPU"); };
 #ifdef PADDLE_WITH_MKLML
@@ -374,6 +385,19 @@ void Blas<platform::CPUDeviceContext>::VMUL(int n, const T *x, const T *y,
 #endif
 }
 
+template <>
+template <typename T>
+void Blas<platform::CPUDeviceContext>::VEXP(int n, const T *x, T *y) const {
+#ifdef PADDLE_WITH_MKLML
+  CBlas<T>::VEXP(n, x, y);
+#else
+  // try to find if openblas support vexp
+  for (int i = 0; i < n; ++i) {
+    y[i] = std::exp(x[i]);
+  }
+#endif
+}
+
 template <>
 template <typename T>
 T Blas<platform::CPUDeviceContext>::DOT(int n, const T *x, const T *y) const {
diff --git a/paddle/fluid/platform/dynload/mklml.h b/paddle/fluid/platform/dynload/mklml.h
index e50ea6740aa8e56d57ef91434c7dae6069f69836..aa20553ceffceded09447693c6e92f55fb48702d 100644
--- a/paddle/fluid/platform/dynload/mklml.h
+++ b/paddle/fluid/platform/dynload/mklml.h
@@ -74,6 +74,8 @@ extern void* mklml_dso_handle;
   __macro(vdAdd);                   \
   __macro(vsMul);                   \
   __macro(vdMul);                   \
+  __macro(vsExp);                   \
+  __macro(vdExp);                   \
   __macro(MKL_Set_Num_Threads)
 
 MKLML_ROUTINE_EACH(DECLARE_DYNAMIC_LOAD_MKLML_WRAP);