fix export at outputtensor

mindspore/lite/src/common/anf_exporter/anf_exporter.cc

@@ -76,7 +76,7 @@ bool AnfExporter::RemoveIfTupleGetItem(const CNodePtr &cnode) {
       hasTupleGetItem = true;
       inputs.emplace_back(tupleGetItemNode->input(1));
       AnfNodePtr indexNode = tupleGetItemNode->input(2);
-      if (utils::isa<ValueNodePtr>(indexNode)) {
+      if (!utils::isa<ValueNode>(indexNode)) {
         MS_LOG(ERROR) << "TupleGetItem's input 2 is not valuenode";
         return false;
       }
@@ -300,18 +300,18 @@ void AnfExporter::SetOpInputNode(const CNodePtr &cnode,
         paramTensor->data.resize(paramValue->tensor_size());
         memcpy(paramTensor->data.data(), paramValue->tensor_addr(),
                paramValue->tensor_size());
-      }
-      for (auto &ite : paramValue->quant_param()) {
-        auto quantPar = std::make_unique<schema::QuantParamT>();
-        quantPar->scale = ite->scale;
-        quantPar->zeroPoint = ite->zeroPoint;
-        quantPar->min = ite->min;
-        quantPar->max = ite->max;
-        quantPar->narrowRange = ite->narrowRange;
-        quantPar->inited = ite->inited;
-        quantPar->numBits = ite->numBits;
-        paramTensor->quantParams.emplace_back(std::move(quantPar));
-        paramTensor->dataType = paramValue->tensor_type();
+        for (auto &ite : paramValue->quant_param()) {
+          auto quantPar = std::make_unique<schema::QuantParamT>();
+          quantPar->scale = ite->scale;
+          quantPar->zeroPoint = ite->zeroPoint;
+          quantPar->min = ite->min;
+          quantPar->max = ite->max;
+          quantPar->narrowRange = ite->narrowRange;
+          quantPar->inited = ite->inited;
+          quantPar->numBits = ite->numBits;
+          paramTensor->quantParams.emplace_back(std::move(quantPar));
+          paramTensor->dataType = paramValue->tensor_type();
+        }
       }
       nodeIdMap[paramNode->fullname_with_scope()] =
           meta_graph->allTensors.size();
@@ -373,9 +373,11 @@ void AnfExporter::SetOpOutputNode(
     int i = 0;
     for (auto outputTensor : outputTensors) {
       std::string name = cnodeName + "_o:" + std::to_string(i);
+      auto msTensor = new schema::TensorT();
+      msTensor->nodeType = schema::NodeType_Parameter;
       nodeIdMap[name] = graph->allTensors.size();
       cnode->outputIndex.emplace_back(graph->allTensors.size());
-      graph->allTensors.emplace_back(outputTensor);
+      graph->allTensors.emplace_back(msTensor);
       i++;
     }
     return;