Worked on the liguodongiot/transformers repository to enhance the stability and CPU compatibility of the FlexAttention module. Addressed a critical runtime issue by refining the handling of the return_lse flag, ensuring it is only set when not operating on CPU devices. This adjustment aligned the module’s logic with PyTorch API expectations, reducing the risk of future errors and improving reliability for CPU-based inference. The work involved updating function signatures and control flow, resulting in clearer logic paths and safer cross-device operation. Utilized Python, PyTorch, and deep learning expertise to deliver a targeted bug fix that supports broader hardware deployment.