diff --git a/docs/mindspore/source_en/faq/data_processing.md b/docs/mindspore/source_en/faq/data_processing.md
index e9d0cdb62afdd507d9eb2b9a1abefcffadd3ebc0..93b1ccc5ed4306bda391939ade6156117fd16e3b 100644
--- a/docs/mindspore/source_en/faq/data_processing.md
+++ b/docs/mindspore/source_en/faq/data_processing.md
@@ -716,3 +716,9 @@ Unsupported scenario description: error reporting behavior such as scoped acquir
 Suggestion: Replace with the above supported scenarios.
 
 <br/>
+
+### Q: Does MindSpore support processing Tensor data using multiple threads in Python scripts?
+
+A: No. MindSpore currently does not support processing Tensor data with multithreading, which may cause hangs or coredumps. You can switch to multiprocessing to process Tensor data, or first call `Tensor.numpy()` to convert the Tensor into a `numpy.ndarray` and then process the data with multiple threads.
+
+<br/>
diff --git a/docs/mindspore/source_zh_cn/faq/data_processing.md b/docs/mindspore/source_zh_cn/faq/data_processing.md
index f2bdaabd8121152edfd975d697825737f03d6794..c659fc7593e629229bb991a0dd31be00994995d1 100644
--- a/docs/mindspore/source_zh_cn/faq/data_processing.md
+++ b/docs/mindspore/source_zh_cn/faq/data_processing.md
@@ -711,3 +711,9 @@ A: 对于GeneratorDataset和map来说：
 建议：替换成上面已支持的场景。
 
 <br/>
+
+## Q: MindSpore支持Python脚本中启动多线程处理Tensor数据吗？
+
+A: 不支持。MindSpore框架暂时不支持多线程处理Tensor数据，可能会发生卡死或者coredump。可以改成多进程处理Tensor数据，或者先调用`Tensor.numpy()`接口将Tensor转成`numpy.ndarray`再用多线程处理数据。
+
+<br/>