Fix the exception when tensor format is x

test=develop

paddle/fluid/operators/elementwise/elementwise_mul_mkldnn_op.cc

@@ -134,16 +134,18 @@ class ElementwiseMulMKLDNNKernel : public framework::OpKernel<T> {
       const bool are_inputs_in_same_format = x->format() == y->format();
       const bool is_x_nchw = x->format() == memory::format::nchw;
       const bool is_x_nc = x->format() == memory::format::nc;
+      const bool is_x_x = x->format() == memory::format::x;
       const bool is_y_nchw = y->format() == memory::format::nchw;
       const bool is_y_nc = y->format() == memory::format::nc;
+      const bool is_y_x = y->format() == memory::format::x;
       if (!are_inputs_in_same_format) {
         using platform::MKLDNNDeviceContext;
         auto& dev_ctx = ctx.template device_context<MKLDNNDeviceContext>();
         const auto& mkldnn_engine = dev_ctx.GetEngine();
-        if (!(is_x_nchw || is_x_nc))
+        if (!(is_x_nchw || is_x_nc || is_x_x))
           ReorderInput<T>(const_cast<Tensor*>(x), ctx.GetPlace(), mkldnn_engine,
                           x->dims().size() == 4);
-        if (!(is_y_nchw || is_y_nc))
+        if (!(is_y_nchw || is_y_nc || is_y_x))
           ReorderInput<T>(const_cast<Tensor*>(y), ctx.GetPlace(), mkldnn_engine,
                           y->dims().size() == 4);
       }