!14416 fix run on device bug

From: @zhoufeng54
Reviewed-by: @xu-yfei,@kisnwang
Signed-off-by: @xu-yfei

mindspore/ccsrc/cxx_api/graph/acl/model_process.cc

@@ -101,6 +101,10 @@ Status ModelProcess::ConstructTensors(const std::vector<AclTensorInfo> &acl_tens
   aclrtMemcpyKind kind = is_run_on_device_ ? ACL_MEMCPY_HOST_TO_HOST : ACL_MEMCPY_DEVICE_TO_HOST;
   for (size_t i = 0; i < acl_tensor_list.size(); ++i) {
     tensor_list->emplace_back(names[i], data_types[i], shapes[i], nullptr, mem_sizes[i]);
+    if (acl_tensor_list[i].cur_device_data == nullptr) {
+      // when run on device, cur_device_data is nullptr before first execute
+      continue;
+    }
     auto ret = aclrtMemcpy((*tensor_list)[i].MutableData(), (*tensor_list)[i].DataSize(),
                            acl_tensor_list[i].cur_device_data, acl_tensor_list[i].buffer_size, kind);
     if (ret != ACL_ERROR_NONE) {
@@ -401,7 +405,7 @@ Status ModelProcess::CheckAndInitInput(const std::vector<MSTensor> &inputs) {
         input_buffer = info.cur_device_data;
       }
     } else {
-      input_buffer = const_cast<void *>(data);
+      input_buffer = data;
     }
     auto data_buffer = aclCreateDataBuffer(input_buffer, info.buffer_size);
     if (data_buffer == nullptr) {