resolve encoder model parser problems

mindspore/lite/tools/converter/legacy_optimizer/graph/switch_pass.cc

@@ -47,14 +47,14 @@ STATUS SwitchPass::Run(mindspore::schema::MetaGraphT *graph) {
 }
 
 STATUS SingleSwitchPass::DoubleSwitchOutput() {
-  origin_switch_output_tensor_indices_ = switch_node_->outputIndex;
-  if (origin_switch_output_tensor_indices_.size() != first_partial_node_->inputIndex.size()) {
+  auto cur_switch_output_tensor_indices = switch_node_->outputIndex;
+  if (cur_switch_output_tensor_indices.size() != first_partial_node_->inputIndex.size()) {
     MS_LOG(ERROR) << "switch node: " << switch_node_->name << " input or output number is not right.";
     return RET_ERROR;
   }
   MS_ASSERT(origin_switch_output_tensor_indices_.size() == first_partial_node_->inputIndex.szie());
-  for (size_t i = 0; i < origin_switch_output_tensor_indices_.size(); i++) {
-    auto &switch_out_tensor = graph_->allTensors.at(origin_switch_output_tensor_indices_[i]);
+  for (size_t i = 0; i < cur_switch_output_tensor_indices.size(); i++) {
+    auto &switch_out_tensor = graph_->allTensors.at(cur_switch_output_tensor_indices[i]);
     const auto &cond_partial_input_tensor = graph_->allTensors.at(first_partial_node_->inputIndex[i]);
     switch_out_tensor->dataType = cond_partial_input_tensor->dataType;
     auto tensor = NewTensor(switch_out_tensor);
@@ -293,7 +293,7 @@ STATUS SingleSwitchPass::InsertPartialAndMergeAfterSwitch() {
     return ret;
   }
 
-  switch_node_->inputIndex.erase(switch_node_->inputIndex.begin(), switch_node_->inputIndex.begin() + 3);
+  switch_node_->inputIndex.erase(switch_node_->inputIndex.begin(), switch_node_->inputIndex.begin() + 2);
   MS_ASSERT(switch_node_->outputIndex.size() % 2 == 0);
   first_partial_node_->inputIndex.assign(switch_node_->outputIndex.begin(),
                                          switch_node_->outputIndex.begin() + switch_node_->outputIndex.size() / 2);
@@ -328,8 +328,10 @@ STATUS SingleSwitchPass::InsertPartialAndMergeAfterSwitch() {
   }
 
   if (second_graph_nodes_.empty()) {
-    merge_node->inputIndex.assign(switch_node_->outputIndex.begin(),
-                                  switch_node_->outputIndex.begin() + second_partial_node_->outputIndex.size());
+    merge_node->inputIndex.insert(merge_node->inputIndex.end(),
+                                  switch_node_->outputIndex.begin() + switch_node_->outputIndex.size() / 2,
+                                  switch_node_->outputIndex.begin() + switch_node_->outputIndex.size() / 2 +
+                                    second_partial_node_->outputIndex.size());
     second_subgraph_index_ = -1;
     IsolateUselessNode(second_partial_node_, graph_);
   } else {