[TVM Discuss] [Questions] Execution order of operators at Runtime in TVM

[Huang Hanting in XJTU via TVM Discuss]

I guess the module.so can be seen as a hash map with func name as key and 
function implement as value.
The following code can be found in graph_runtime_codegen.cc.
```
  LoweredOutput Codegen(relay::Function func) {
    auto pf = GetPackedFunc("relay.backend.GraphPlanMemory");
    storage_device_map_ = (*pf)(func);
    // First we convert all the parameters into input nodes.
    for (auto param : func->params) {
      auto node_ptr = GraphInputNode::make_node_ptr(param->name_hint(), 
GraphAttrs());
      var_map_[param.get()] = AddNode(node_ptr, param);
    }
    heads_ = VisitExpr(func->body);
    std::ostringstream os;
    dmlc::JSONWriter writer(&os);
    GetJSON(&writer);
    LoweredOutput ret;
    ret.graph_json = os.str();
    ret.params = params_;

    for (auto& kv : lowered_funcs_) {
      if (ret.lowered_funcs.count(kv.first) == 0) {
        ret.lowered_funcs.Set(kv.first, IRModule::Empty());
      }
      auto& mod = ret.lowered_funcs[kv.first];
      mod->Update(kv.second);
      ret.lowered_funcs.Set(kv.first, mod);
    }
    ret.external_mods = compile_engine_->LowerExternalFunctions();
    return ret;
  }
```
```
struct LoweredOutput {
  std::string graph_json;
  Map<std::string, IRModule> lowered_funcs;
  Array<tvm::runtime::Module> external_mods;
  std::unordered_map<std::string, tvm::runtime::NDArray> params;
};
```
And the IRModule shown above have something to do with parallelism.





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