Worked on enabling native LayerNorm support for XLA within the pytorch/xla repository, focusing on foundational changes to improve model throughput and stability on XLA devices. Delivered a configuration-level update that introduced a native_layer_norm support pathway, referencing issue #8031 and laying the groundwork for future native implementation and optimization. The work involved modifying configuration files and integrating with the existing PyTorch/XLA codebase, primarily using Python and C++. This initial step did not include direct code changes but established the necessary infrastructure for subsequent development, testing, and performance tuning aimed at enhancing LayerNorm compatibility and efficiency on XLA backends.