solve aware quantizer memory problem

mindspore/lite/tools/converter/quantizer/aware_quantizer.cc

@@ -293,13 +293,13 @@ STATUS AwareQuantizer::GenerateQuantParam() {
   MS_ASSERT(graph->inputIndex.size() == 1);
   // set graphInputNode input
   for (auto graphInputIndex : graph->inputIndex) {
-    auto status = mInputArray->SetInputArrayQP(graph.get(), graphInputIndex);
+    auto status = mInputArray->SetInputArrayQP(graph, graphInputIndex);
     if (status != RET_OK) {
       MS_LOG(ERROR) << "SetInputArrayQP failed";
       return status;
     }
   }
-  auto status = GenerateDefaultQuantParam(graph.get());
+  auto status = GenerateDefaultQuantParam(graph);
   if (status != RET_OK) {
     MS_LOG(ERROR) << "GenerateDefaultQuantParam failed";
     return status;
@@ -319,7 +319,7 @@ STATUS AwareQuantizer::GenerateQuantParam() {
                     << ", type: " << GetCNodeTTypeName(*node).c_str() << " set node to QuantNone and skip";
       node->quantType = static_cast<schema::QuantType>(QuantType_QUANT_NONE);
     } else {
-      status = quantParamCalcer->Calc(graph.get(), *node);
+      status = quantParamCalcer->Calc(graph, *node);
       if (status != RET_OK) {
         MS_LOG(ERROR) << "quantParamCalcer failed: " << status << " node: " << node->name.c_str();
         node->quantType = schema::QuantType_QUANT_NONE;
@@ -349,27 +349,27 @@ STATUS AwareQuantizer::DoQuantize() {
         return RET_ERROR;
       }
       // quant weight
-      status = QuantConvWeight(graph.get(), node.get());
+      status = QuantConvWeight(graph, node.get());
       if (status != RET_OK) {
         MS_LOG(ERROR) << "QuantConvWeight failed!";
         return RET_ERROR;
       }
       // quant bias
       if (inputIndexes.size() == 3) {
-        status = QuantConvBias(graph.get(), node.get());
+        status = QuantConvBias(graph, node.get());
         if (status != RET_OK) {
           MS_LOG(ERROR) << "QuantConvBias failed!";
           return RET_ERROR;
         }
       }
     } else if (GetCNodeTType(*node) == schema::PrimitiveType_DetectionPostProcess) {
-      status = QuantDetectionPostProcessConstTensor(graph.get(), node.get());
+      status = QuantDetectionPostProcessConstTensor(graph, node.get());
       if (status != RET_OK) {
         MS_LOG(ERROR) << "QuantDetectionPostProcessConstTensor failed!";
         return RET_ERROR;
       }
     } else if (GetCNodeTType(*node) == schema::PrimitiveType_Add) {
-      status = QuantAddConstTensor(graph.get(), node.get());
+      status = QuantAddConstTensor(graph, node.get());
       if (status != RET_OK) {
         MS_LOG(ERROR) << "QuantAddConstTensor failed!";
         return RET_ERROR;

mindspore/lite/tools/converter/quantizer/quantizer.h

@@ -73,7 +73,7 @@ class FbQuantizer {
   virtual STATUS DoQuantize() = 0;
 
  protected:
-  std::shared_ptr<schema::MetaGraphT> graph = nullptr;
+  schema::MetaGraphT *graph = nullptr;
 };
 }  // namespace mindspore::lite::quant