!14976 Fix codex warning

From: @luoyang42
Reviewed-by: @liucunwei,@heleiwang
Signed-off-by: @liucunwei

mindspore/ccsrc/minddata/dataset/api/execute.cc

@@ -191,7 +191,7 @@ Execute::Execute(const std::vector<std::reference_wrapper<TensorTransform>> ops,
 }
 
 // Execute function for the example vector case: auto decode(new vision::Decode());
-Execute::Execute(std::vector<TensorTransform *> ops, MapTargetDevice deviceType, uint32_t device_id) {
+Execute::Execute(const std::vector<TensorTransform *> &ops, MapTargetDevice deviceType, uint32_t device_id) {
   // Initialize the transforms_ and other context
   for (auto &op : ops) {
     std::shared_ptr<TensorTransform> smart_ptr_op(op);

mindspore/ccsrc/minddata/dataset/core/de_tensor.cc

@@ -79,7 +79,7 @@ size_t DETensor::DataSize() const {
   }
 #endif
   EXCEPTION_IF_NULL(tensor_impl_);
-  return tensor_impl_->SizeInBytes();
+  return static_cast<uint32_t>(tensor_impl_->SizeInBytes());
 }
 
 const std::vector<int64_t> &DETensor::Shape() const { return shape_; }

mindspore/ccsrc/minddata/dataset/engine/ir/datasetops/transfer_node.cc

@@ -77,14 +77,6 @@ Status TransferNode::Build(std::vector<std::shared_ptr<DatasetOp>> *const node_o
   // https://gitee.com/mindspore/mindspore/issues/I39J9A
   // Link _c_expression.so and _c_dataengine.so simultaneously will cause heap overflow because MindData uses MSContext.
   // We should find a new way to get device_type here.
-  // if (device_type_.empty()) {
-  //   auto context = MsContext::GetInstance();
-  //   if (context == nullptr) {
-  //     device_type_ = kCPUDevice;
-  //   } else {
-  //     device_type_ = context->get_param<std::string>(MS_CTX_DEVICE_TARGET);
-  //   }
-  // }
   if (device_type_.empty()) {
     device_type_ = kCPUDevice;
   }

mindspore/ccsrc/minddata/dataset/include/execute.h

@@ -48,7 +48,7 @@ class Execute {
                    MapTargetDevice deviceType = MapTargetDevice::kCpu, uint32_t device_id = 0);
   explicit Execute(const std::vector<std::reference_wrapper<TensorTransform>> ops,
                    MapTargetDevice deviceType = MapTargetDevice::kCpu, uint32_t device_id = 0);
-  explicit Execute(std::vector<TensorTransform *> ops, MapTargetDevice deviceType = MapTargetDevice::kCpu,
+  explicit Execute(const std::vector<TensorTransform *> &ops, MapTargetDevice deviceType = MapTargetDevice::kCpu,
                    uint32_t device_id = 0);
 
   /// \brief Destructor

mindspore/dataset/engine/datasets.py

@@ -2004,7 +2004,6 @@ class BatchDataset(Dataset):
 
     def __del__(self):
         if hasattr(self, 'process_pool') and self.process_pool is not None:
-            logger.info("Batch process pool is being terminated.")
             self.process_pool.close()
 
 
@@ -2398,7 +2397,6 @@ class MapDataset(Dataset):
 
     def __del__(self):
         if hasattr(self, 'process_pool') and self.process_pool is not None:
-            logger.info("Map process pool is being terminated.")
             self.process_pool.close()
             self.process_pool.join()
 
@@ -3247,7 +3245,6 @@ class SamplerFn:
 
 
 def _subprocess_handle(eof, signum, frame):
-    logger.info("The subprocess receives a termination signal.")
     eof.set()