Clean elementwise_op_function (#15502)

test=develop

paddle/fluid/operators/elementwise/elementwise_op_function.h

@@ -277,68 +277,6 @@ class TransformFunctor {
   Functor func_;
 };
 
-#define EIGEN_FUNCTOR(name, eigen_op)                                          \
-  struct Eigen##name##Functor {                                                \
-    template <typename DeviceContext, typename T>                              \
-    inline void Run(const framework::Tensor *x, const framework::Tensor *y,    \
-                    framework::Tensor *z,                                      \
-                    const framework::ExecutionContext &ctx) {                  \
-      auto x_e = framework::EigenVector<T>::Flatten(*x);                       \
-      auto y_e = framework::EigenVector<T>::Flatten(*y);                       \
-      auto z_e = framework::EigenVector<T>::Flatten(*z);                       \
-      z_e.device(                                                              \
-          *ctx.template device_context<DeviceContext>().eigen_device()) =      \
-          eigen_op(x_e, y_e);                                                  \
-    }                                                                          \
-    template <typename DeviceContext, typename T>                              \
-    inline void RunBroadCast(const framework::Tensor *x,                       \
-                             const framework::Tensor *y, framework::Tensor *z, \
-                             const framework::ExecutionContext &ctx, int pre,  \
-                             int n) {                                          \
-      auto x_e = framework::EigenVector<T>::Flatten(*x);                       \
-      auto y_e = framework::EigenVector<T>::Flatten(*y);                       \
-      auto z_e = framework::EigenVector<T>::Flatten(*z);                       \
-      auto y_bcast = y_e.reshape(Eigen::DSizes<int, 2>(1, n))                  \
-                         .broadcast(Eigen::DSizes<int, 2>(pre, 1))             \
-                         .reshape(Eigen::DSizes<int, 1>(x_e.size()));          \
-      z_e.device(                                                              \
-          *ctx.template device_context<DeviceContext>().eigen_device()) =      \
-          eigen_op(x_e, y_bcast);                                              \
-    }                                                                          \
-    template <typename DeviceContext, typename T>                              \
-    inline void RunBroadCast2(const framework::Tensor *x,                      \
-                              const framework::Tensor *y,                      \
-                              framework::Tensor *z,                            \
-                              const framework::ExecutionContext &ctx, int pre, \
-                              int n, int post) {                               \
-      auto x_e = framework::EigenVector<T>::Flatten(*x);                       \
-      auto y_e = framework::EigenVector<T>::Flatten(*y);                       \
-      auto z_e = framework::EigenVector<T>::Flatten(*z);                       \
-      auto y_bcast = y_e.reshape(Eigen::DSizes<int, 3>(1, n, 1))               \
-                         .broadcast(Eigen::DSizes<int, 3>(pre, 1, post))       \
-                         .reshape(Eigen::DSizes<int, 1>(x_e.size()));          \
-      z_e.device(                                                              \
-          *ctx.template device_context<DeviceContext>().eigen_device()) =      \
-          eigen_op(x_e, y_bcast);                                              \
-    }                                                                          \
-  }
-
-#define EIGEN_ADD(x, y) ((x) + (y))
-
-EIGEN_FUNCTOR(Add, EIGEN_ADD);
-
-#define EIGEN_SUB(x, y) ((x) - (y))
-
-EIGEN_FUNCTOR(Sub, EIGEN_SUB);
-
-#define EIGEN_MUL(x, y) ((x) * (y))
-
-EIGEN_FUNCTOR(Mul, EIGEN_MUL);
-
-#define EIGEN_DIV(x, y) ((x) / (y))
-
-EIGEN_FUNCTOR(Div, EIGEN_DIV);
-
 template <typename T, typename DX_OP, typename DY_OP>
 struct ElemwiseGradNoBroadcast {
   const T *x_;