Fix repeat error

mindspore/ccsrc/frontend/parallel/ops_info/unsorted_segment_op_info.cc

@@ -103,6 +103,35 @@ Status UnsortedSegmentOpInfo::InferDevMatrixShape() {
   return SUCCESS;
 }
 
+Status UnsortedSegmentOpInfo::InferMirrorOps() {
+  mirror_ops_.clear();
+
+  // Only the first input could be parameter.
+  Shape tensor_map = inputs_tensor_map_[0];
+  std::vector<Group> group;
+  if (CreateGroupByTensorMap(tensor_map, &group) != SUCCESS) {
+    MS_LOG(ERROR) << name_ << " : Create group failed.";
+    return FAILED;
+  }
+
+  OperatorVector mirror_op;
+  OperatorVector op_for_value;
+  OperatorVector op_for_value2;
+  if (group.empty()) {
+    MS_LOG(INFO) << name_ << " : The mirror ops is empty.";
+    return SUCCESS;
+  } else {
+    mirror_op = CreateMirrorOps(group[0].name(), group[0].GetDevNum());
+    mirror_ops_.push_back(mirror_op);
+    mirror_ops_.push_back(op_for_value);
+    mirror_ops_.push_back(op_for_value2);
+    std::string group_name = group[0].name();
+    MS_LOG(INFO) << name_ << " : Create the mirror ops success, the group name is " << group_name;
+  }
+
+  return SUCCESS;
+}
+
 // As the op converts the vector x1,x2,x3...,xr -> number of segments, xn,..,xr
 // the dimension x1,x2,x3,..,xn is eliminated
 // suppose the strategy of the inputs is (a,b,c,d), (a,b)
@@ -221,9 +250,6 @@ Status UnsortedSegmentOpInfo::InferForwardCommunication() {
   std::vector<Group> group_list;
   Shape tmp_group_tensor_map = outputs_tensor_map_.at(0);
   if (repeated_calc_num_ > 1) {
-    for (size_t i = 1; i < tmp_group_tensor_map.size(); ++i) {
-      tmp_group_tensor_map[i] += 1;
-    }
     tmp_group_tensor_map.push_back(0);
   }
   if (CreateGroupByTensorMap(tmp_group_tensor_map, &group_list) != SUCCESS) {

mindspore/ccsrc/frontend/parallel/ops_info/unsorted_segment_op_info.h

@@ -47,7 +47,7 @@ class UnsortedSegmentOpInfo : public OperatorInfo {
  protected:
   Status CheckStrategy(const StrategyPtr &strategy) override;
   Status InferForwardCommunication() override;
-  Status InferMirrorOps() override { return SUCCESS; }
+  Status InferMirrorOps() override;
   Status InferTensorInfo() override;
   Status InferDevMatrixShape() override;
   Status InferTensorMap() override;