use host_type vs deprecated type_id

mindspore/ccsrc/runtime/device/ascend/ascend_device_address.cc

@@ -706,7 +706,7 @@ bool AscendDeviceAddress::LoadMemToHost(const std::string &tensor_name, int exec
   tensor_data->SetName(tensor_name);
   tensor_data->SetExecutionOrder(execution_order);
   tensor_data->SetSlot(slot);
-  mindspore::tensor::TensorPtr out_tensor = std::make_shared<tensor::Tensor>(type_id_, host_shape);
+  mindspore::tensor::TensorPtr out_tensor = std::make_shared<tensor::Tensor>(host_type, host_shape);
   size_t host_size = out_tensor->data().nbytes();
   auto ret_rt_memcpy = rtMemcpy(out_tensor->data_c(), host_size, ptr_, host_size, RT_MEMCPY_DEVICE_TO_HOST);
   if (ret_rt_memcpy != RT_ERROR_NONE) {

mindspore/ccsrc/runtime/device/gpu/gpu_device_address.cc

@@ -107,7 +107,7 @@ bool GPUDeviceAddress::LoadMemToHost(const std::string &tensor_name, int executi
     return true;
   }
 
-  mindspore::tensor::TensorPtr out_tensor = std::make_shared<tensor::Tensor>(type_id_, host_shape);
+  mindspore::tensor::TensorPtr out_tensor = std::make_shared<tensor::Tensor>(host_type, host_shape);
   size_t host_size = out_tensor->data().nbytes();
   auto ret_rt_memcpy = SyncDeviceToHost(host_shape, host_size, host_type, out_tensor->data_c());
   if (!ret_rt_memcpy) {