fix mul quant

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

@@ -142,6 +142,7 @@ STATUS WeightQuantizer::DoMulQuantize(const std::list<CNodePtr> &nodes) {
     if (!mStrategy->CanMulOpQuantized(node)) {
       continue;
     }
+    auto already_quant = false;
     ParamValueLitePtr param_value = nullptr;
     ParameterPtr param_node = nullptr;
     for (size_t i = 1; i < node->size(); i++) {
@@ -151,8 +152,16 @@ STATUS WeightQuantizer::DoMulQuantize(const std::list<CNodePtr> &nodes) {
         if ((param_node != nullptr) && param_node->has_default()) {
           param_value = std::static_pointer_cast<ParamValueLite>(param_node->default_param());
           if ((param_value == nullptr) || (param_value->tensor_size() == 0) ||
-              (param_value->tensor_addr() == nullptr) ||
-              (param_value->tensor_type() != mindspore::kNumberTypeFloat32)) {
+              (param_value->tensor_addr() == nullptr)) {
+            param_value = nullptr;
+            continue;
+          } else if (param_value->tensor_type() == mindspore::kNumberTypeInt8 ||
+                     param_value->tensor_type() == mindspore::kNumberTypeInt16) {
+            MS_LOG(INFO) << "the node: " << node->fullname_with_scope() << " input_i: " << i << "has been "
+                         << " quantized";
+            already_quant = true;
+            break;
+          } else if (param_value->tensor_type() != mindspore::kNumberTypeFloat32) {
             param_value = nullptr;
             continue;
           } else {
@@ -161,6 +170,11 @@ STATUS WeightQuantizer::DoMulQuantize(const std::list<CNodePtr> &nodes) {
         }
       }
     }
+
+    if (already_quant) {
+      continue;
+    }
+
     if (param_value == nullptr) {
       MS_LOG(ERROR) << "No valid input param node !";
       return RET_ERROR;