diff --git a/mindspore/ccsrc/frontend/parallel/auto_parallel/rec_core/rec_generate_strategy.cc b/mindspore/ccsrc/frontend/parallel/auto_parallel/rec_core/rec_generate_strategy.cc
old mode 100644
new mode 100755
index a7b613402be..364405a179e
--- a/mindspore/ccsrc/frontend/parallel/auto_parallel/rec_core/rec_generate_strategy.cc
+++ b/mindspore/ccsrc/frontend/parallel/auto_parallel/rec_core/rec_generate_strategy.cc
@@ -73,8 +73,9 @@ Strategys PrepareMatMul(const std::shared_ptr<Graph> &graph, const std::vector<s
   // HCCL does not support multi-dimension partition, and the hardware does not support excessive
   // number of EVENT, so we temporarily disable matmul's multi-dimension partition function.
   const auto max_cut = 1.0 / g_device_manager->DeviceNum();
-  if (graph->nodes[iter_graph].apply.arguments[0].tensor_str.str_h != max_cut &&
-      graph->nodes[iter_graph].apply.arguments[1].tensor_str.str_w != max_cut) {
+  // The rule of cut is 0.5, 0.125. To compare the result we have to use ">" so we multiply max_cut to 1.1
+  if (graph->nodes[iter_graph].apply.arguments[0].tensor_str.str_h > max_cut * 1.1 &&
+      graph->nodes[iter_graph].apply.arguments[1].tensor_str.str_w > max_cut * 1.1) {
     graph->nodes[iter_graph].apply.arguments[0].tensor_str.str_h = 1.0;
     graph->nodes[iter_graph].apply.arguments[0].tensor_str.str_w = 1.0;
     graph->nodes[iter_graph].apply.arguments[1].tensor_str.str_h = 1.0;