use dynload curand

paddle/operators/gaussian_random_op.h

@@ -34,5 +34,5 @@ class GaussianRandomKernel : public framework::OpKernel {
     math::RandGaussian<Place, T>(n, mean, std, data, device_context);
   }
 };
-}
-}
+}  // namespace operators
+}  // namespace paddle

paddle/operators/math/math_function.cu

@@ -149,8 +149,8 @@ void RandUniform<platform::GPUPlace, float>(const int n, const float min,
                                             const float max, float* output,
                                             platform::DeviceContext* context) {
   auto* cuda_context = reinterpret_cast<platform::CUDADeviceContext*>(context);
-  PADDLE_ENFORCE(
-      curandGenerateUniform(cuda_context->curand_generator(), output, n));
+  PADDLE_ENFORCE(platform::dynload::curandGenerateUniform(
+      cuda_context->curand_generator(), output, n));
   int block = 512;
   int grid = (n + block - 1) / block;
   UniformShift<float><<<grid, block, 0, cuda_context->stream()>>>(n, min, max,
@@ -179,8 +179,8 @@ void RandGaussian<platform::GPUPlace, float>(const int n, const float mean,
 
   const int even_n =
       HandleOddLengthRandGaussian<float>(n, mean, std, output, cuda_context);
-  PADDLE_ENFORCE(curandGenerateNormal(cuda_context->curand_generator(), output,
-                                      even_n, mean, std));
+  PADDLE_ENFORCE(platform::dynload::curandGenerateNormal(
+      cuda_context->curand_generator(), output, even_n, mean, std));
 }
 
 }  // namespace math

paddle/operators/uniform_random_op.h

@@ -34,5 +34,5 @@ class UniformRandomKernel : public framework::OpKernel {
     math::RandUniform<Place, T>(n, min, max, data, device_context);
   }
 };
-}
-}
+}  // namespace operators
+}  // namespace paddle