remove feed and fetch for npu subgraph pass (#2230)

test=develop

lite/core/mir/subgraph/subgraph_program_pass.cc

@@ -207,6 +207,8 @@ void SubgraphProgramPass::InferOnce(const std::unique_ptr<SSAGraph>& graph) {
     if (!item->IsStmt()) continue;
     auto& stmt = item->AsStmt();
     auto& op = stmt.op();
+    std::string op_type = op->op_info()->Type();
+    if (op_type == "feed" || op_type == "fetch") continue;
     op->CheckShape();
     op->InferShape();
     // TOOD(xxx): remove Launch() at last

lite/core/optimizer.h

@@ -126,7 +126,6 @@ class Optimizer {
                   valid_places_.end(),
                   Place{TARGET(kNPU), PRECISION(kFloat)}) !=
         valid_places_.end()) {
-      CheckInputDimsNotEmpty(exec_scope_);
       auto pass = mir::PassManager::Global()
                       .LookUp<mir::subgraph::GenerateNPUProgramPass>(
                           "generate_npu_program_pass");
@@ -150,19 +149,6 @@ class Optimizer {
     return program;
   }
 
-  // check the input dims in the scope, must not be empty
-  void CheckInputDimsNotEmpty(const lite::Scope* scope) {
-    CHECK(scope);
-    auto* feed_var = scope->FindVar("feed");
-    CHECK(feed_var) << "no feed variable in exec_scope: " << scope;
-    auto* feed_tensor_list = feed_var->GetMutable<std::vector<lite::Tensor>>();
-    CHECK_GE(feed_tensor_list->size(), 1);
-    for (size_t i = 0; i < feed_tensor_list->size(); ++i) {
-      CHECK(!feed_tensor_list->at(i).dims().empty())
-          << "Input " << i << " dims can not be empty.";
-    }
-  }
-
   void InitTargetTypeTransformPass() {
     auto* pass =
         mir::PassManager::Global().LookUp<mir::TypeTargetTransformPass>(