!21478 [MSLITE] fp32 bug fix

Merge pull request !21478 from ling/bug

mindspore/lite/micro/coder/graph.cc

@@ -30,8 +30,11 @@
 
 namespace mindspore::lite::micro {
 CoderGraph::~CoderGraph() {
-  model_->Free();
-  delete model_;
+  if (model_ != nullptr) {
+    model_->Free();
+    delete model_;
+    model_ = nullptr;
+  }
   for (auto &tensor : all_tensors_) {
     delete tensor;
   }

mindspore/lite/micro/coder/train.cc

@@ -55,6 +55,10 @@ std::set<OperatorCoder *> FindInferenceOpcoders(OperatorCoder *edge) {
 }
 
 int Train::TransformGraphForTrain(CoderContext *context, const std::vector<std::unique_ptr<OperatorCoder>> &op_coders) {
+  if (context == nullptr) {
+    MS_LOG(INFO) << "input context invalid";
+    return RET_ERROR;
+  }
   const std::array<int, 6> loss_types = {schema::PrimitiveType_SparseSoftmaxCrossEntropyWithLogits,
                                          schema::PrimitiveType_BinaryCrossEntropy,
                                          schema::PrimitiveType_SmoothL1Loss,

mindspore/lite/micro/coder/wrapper/int8/conv1x1_init_int8_wrapper.c

@@ -65,6 +65,7 @@ int Conv1x1Init(int8_t *src_weight, int32_t *src_bias, int32_t *filter_zps, int3
   int32_t *bias_data_ = (int32_t *)malloc(size * sizeof(int32_t));
   if (bias_data_ == NULL) {
     free(packed_weight_);
+    packed_weight_ = NULL;
     return NNACL_ERR;
   }
   memset(bias_data_, 0, size * sizeof(int32_t));

mindspore/lite/src/runtime/kernel/arm/fp32/bias_fp32.cc

@@ -47,7 +47,7 @@ int BiasCPUKernel::Run() {
   auto in = reinterpret_cast<float *>(in_tensors_.at(0)->MutableData());
   auto bias = reinterpret_cast<float *>(in_tensors_.at(1)->MutableData());
   auto out = reinterpret_cast<float *>(out_tensors_.at(0)->MutableData());
-  size_t data_size = in_tensors_.at(0)->ElementsNum();
+  size_t data_size = static_cast<size_t>(in_tensors_.at(0)->ElementsNum());
   MS_ASSERT(ms_context_->allocator != nullptr);
   float *tile_in = reinterpret_cast<float *>(ms_context_->allocator->Malloc(data_size * sizeof(float)));
   float *tile_bias = reinterpret_cast<float *>(ms_context_->allocator->Malloc(data_size * sizeof(float)));
@@ -57,7 +57,7 @@ int BiasCPUKernel::Run() {
     ms_context_->allocator->Free(tile_bias);
     return RET_ERROR;
   }
-  auto ret = BroadcastAdd(in, bias, tile_in, tile_bias, out, data_size, bias_param_);
+  auto ret = BroadcastAdd(in, bias, tile_in, tile_bias, out, static_cast<int>(data_size), bias_param_);
   ms_context_->allocator->Free(tile_in);
   ms_context_->allocator->Free(tile_bias);
   return ret;

mindspore/lite/src/runtime/kernel/arm/fp32/gather_fp32.cc

@@ -65,7 +65,7 @@ int GatherCPUKernel::DoGather(int task_id) {
   int8_t *int8_in = reinterpret_cast<int8_t *>(input_tensor->data_c());
   int8_t *int8_out = reinterpret_cast<int8_t *>(out_tensor->data_c());
 
-  int data_size = lite::DataTypeSize(input_tensor->data_type());
+  int data_size = static_cast<int>(lite::DataTypeSize(input_tensor->data_type()));
   int8_in += thread_stride * limit * inner_size * data_size;
   int8_out += thread_stride * indices_element_size * inner_size * data_size;
 
@@ -121,7 +121,7 @@ int GatherCPUKernel::AssignIndicesData(bool isIndicesInt32, int indices_num, lit
       }
     } else {
       for (int i = 0; i < indices_num; i++) {
-        indices_data_[i] = reinterpret_cast<float *>(indices_tensor->MutableData())[i];
+        indices_data_[i] = static_cast<int>(reinterpret_cast<float *>(indices_tensor->MutableData())[i]);
       }
     }
   } else {