CHERRY_PICK: from #2070 (#2073)

1. the split op's bug will triger memory optimize pass failed.
test=develop

lite/core/mir/memory_optimize_pass.cc

@@ -49,7 +49,9 @@ void MemoryOptimizePass::CollectLifeCycleByDevice(
                                         "equal",
                                         "lod_reset",
                                         "concat",
-                                        "graph_op"};
+                                        "graph_op",
+                                        "feed",
+                                        "fetch"};
     for (auto* tmp : node->inlinks) {
       CHECK(tmp->IsStmt());
       std::string op_type = tmp->AsStmt().op_info()->Type();
@@ -76,18 +78,6 @@ void MemoryOptimizePass::CollectLifeCycleByDevice(
       std::vector<Node*> requires(inputs.begin(), inputs.end());
       requires.insert(requires.end(), outputs.begin(), outputs.end());
       auto& stmt = op_node->AsStmt();
-      // The feed and fetch op's inputs and outputs will not be reused.
-      if (stmt.op_info()->Type() == "feed" ||
-          stmt.op_info()->Type() == "fetch") {
-        for (auto* node : op_node->outlinks) {
-          CHECK(node->IsArg());
-          std::string var_name = node->AsArg().name;
-          TargetType target_type = node->AsArg().type->target();
-          if (is_host(target_type)) target_type = TARGET(kHost);
-          (*lifecycles)[TargetToStr(target_type)].emplace(
-              var_name, std::make_pair(0, std::numeric_limits<int>::max()));
-        }
-      } else {
       for (Node* node : requires) {
         CHECK(node->IsArg());
         auto& arg = node->AsArg();
@@ -107,7 +97,6 @@ void MemoryOptimizePass::CollectLifeCycleByDevice(
               std::max(max_lifecycle_, cur_life);
         }
       }
-      }
       ++max_lifecycle_;
     }
   }
@@ -167,6 +156,7 @@ void MemoryOptimizePass::MakeReusePlan(
 void MemoryOptimizePass::PerformReusePlan(
     SSAGraph* graph,
     const std::unordered_map<std::string, std::string>& reuse_table) {
+  int node_append_idx = 0;
   for (auto& op_node : graph->StmtTopologicalOrder()) {
     if (!op_node->IsStmt()) continue;
     auto& stmt = op_node->AsStmt();
@@ -190,7 +180,9 @@ void MemoryOptimizePass::PerformReusePlan(
       std::string name = input_node->AsArg().name;
       if (reuse_table.count(name) && reuse_table.at(name) != name) {
         auto replace_name = reuse_table.at(name);
-        input_node->AsArg().name = replace_name;
+        input_node->AsArg().name =
+            replace_name + "(" + std::to_string(node_append_idx) + ")";
+        node_append_idx++;
       }
     }
 
@@ -212,7 +204,9 @@ void MemoryOptimizePass::PerformReusePlan(
       std::string name = out_node->AsArg().name;
       if (reuse_table.count(name) && reuse_table.at(name) != name) {
         auto replace_name = reuse_table.at(name);
-        out_node->AsArg().name = replace_name;
+        out_node->AsArg().name =
+            replace_name + "(" + std::to_string(node_append_idx) + ")";
+        node_append_idx++;
       }
     }
 

lite/operators/split_op.cc

@@ -69,6 +69,7 @@ bool SplitOp::AttachImpl(const cpp::OpDesc &opdesc, lite::Scope *scope) {
   auto input = opdesc.Input("X").front();
   auto outs = opdesc.Output("Out");
   param_.x = scope->FindVar(input)->GetMutable<lite::Tensor>();
+  param_.output.clear();
   for (auto var : outs) {
     param_.output.push_back(scope->FindVar(var)->GetMutable<lite::Tensor>());
   }