有时候写PyTorch代码的时候，会意外遇到如下的cuda报错：

RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

并且前面还有海量的（根本翻不完的）报错信息：

Assertion idx_dim ＞= 0 && idx_dim ＜ index_size && "index out of bounds"

冗余的报错信息导致我们没办法定位到出错的代码段，这里