!43690 [MSLite][CPU]Fuzz Fix

Merge pull request !43690 from 陈宇/dev_master_fuzz_fix

mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/infer/string/hashtable_lookup_infer.c

@@ -26,6 +26,10 @@ int HashtableLoopupInferShape(const TensorC *const *inputs, size_t inputs_size,
 
   const TensorC *input = inputs[0];
   const TensorC *values = inputs[2];
+  if (input == NULL || values == NULL) {
+    return NNACL_NULL_PTR;
+  }
+
   TensorC *output = outputs[0];
   TensorC *hits = outputs[1];
 

mindspore/lite/src/litert/cxx_api/model/model_impl.cc

@@ -331,6 +331,9 @@ Status ModelImpl::Predict(const std::vector<MSTensor> &inputs, std::vector<MSTen
     return kLiteError;
   }
   std::vector<void *> old_data;
+  for (size_t i = 0; i < inputs.size(); i++) {
+    old_data.push_back(input_tensors.at(i)->data());
+  }
   for (size_t i = 0; i < inputs.size(); i++) {
     auto input = input_tensors.at(i);
     auto user_input = inputs.at(i);
@@ -349,7 +352,6 @@ Status ModelImpl::Predict(const std::vector<MSTensor> &inputs, std::vector<MSTen
       MS_LOG(WARNING) << "Tensor " << user_input.Name() << " has a different name from input" << input->tensor_name()
                       << ".";
     }
-    old_data.push_back(input->data());
     if (input->data_type() == kObjectTypeString) {
 #ifndef STRING_KERNEL_CLIP
       std::vector<int32_t> shape = TruncateShape(user_input.Shape(), input->data_type(), user_input.DataSize(), false);

mindspore/lite/src/litert/kernel/cpu/int8/scale_int8.cc

@@ -214,6 +214,14 @@ int ScaleInt8CPUKernel::Prepare() {
     return RET_ERROR;
   }
 
+  for (auto tensor : in_tensors_) {
+    if (tensor->data_type() != TypeId::kNumberTypeInt8) {
+      MS_LOG(ERROR) << " in tensors type to scale_int8 should be int8, but type id " << tensor->data_type()
+                    << " is given";
+    }
+    return RET_ERROR;
+  }
+
   if (!InferShapeDone()) {
     return RET_OK;
   }

mindspore/lite/tools/benchmark/benchmark_unified_api.cc

@@ -269,6 +269,7 @@ int BenchmarkUnifiedApi::GenerateInputData() {
         return RET_ERROR;
       }
       tensor = *input;
+      delete input;
     } else {
       auto input_data = tensor.MutableData();
       if (input_data == nullptr) {