Merge pull request #3395 from reyoung/feature/fix_random_op_link_error

Feature/fix random op link error

paddle/operators/gaussian_random_op.cu

@@ -40,8 +40,8 @@ class GaussianRandomKernel : public framework::OpKernel {
         &g, CURAND_RNG_PSEUDO_DEFAULT));
     PADDLE_ENFORCE(
         platform::dynload::curandSetPseudoRandomGeneratorSeed(g, seed));
-    curandGenerateNormal(g, data, framework::product(tensor->dims()), mean,
+    platform::dynload::curandGenerateNormal(
-                         std);
+        g, data, framework::product(tensor->dims()), mean, std);
   }
 };
 

paddle/platform/dynload/cublas.h

@@ -48,13 +48,13 @@ extern void *cublas_dso_handle;
   };                                                                \
   extern DynLoad__##__name __name
 #else
-#define DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP(__name) \
+#define DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP(__name)     \
-  struct DynLoad__##__name {                     \
+  struct DynLoad__##__name {                         \
-    inline template <typename... Args>           \
+    template <typename... Args>                      \
-    cublasStatus_t operator()(Args... args) {    \
+    inline cublasStatus_t operator()(Args... args) { \
-      return __name(args...);                    \
+      return __name(args...);                        \
-    }                                            \
+    }                                                \
-  };                                             \
+  };                                                 \
   extern DynLoad__##__name __name
 #endif
 

paddle/platform/dynload/curand.h

@@ -55,6 +55,7 @@ extern void *curand_dso_handle;
   __macro(curandSetPseudoRandomGeneratorSeed); \
   __macro(curandGenerateUniform);              \
   __macro(curandGenerateUniformDouble);        \
+  __macro(curandGenerateNormal);               \
   __macro(curandDestroyGenerator);
 
 CURAND_RAND_ROUTINE_EACH(DECLARE_DYNAMIC_LOAD_CURAND_WRAP);