*Summary* *OpenXLA Project Updates:* * *[**2:11**] StableHLO v1.0 Released:* * Achieved planned roadmap items (reference interpreter, spec dynamism, quantization) and exceeded it (composite ops, new floating point types). * Offers 5 years of backward compatibility and 2 years of forward compatibility to support long-term stability for projects like Google's ODML. * Deprecated or are exploring deprecation for redundant ops (like Dot and DotGeneral) to simplify compilation pipelines and reduce maintenance. * Introduced developer experience improvements like colab tutorials and pip wheels. * *[**5:38**] Upcoming StableHLO Opset Updates:* * Adding a dedicated Tanh op. * Adding custom call backend config to support dictionary attributes for greater flexibility. * Making collective ops variadic to support horizontal scaling. * A new RFC for int4 and uint4 type support will be posted soon. * *[**11:48**] libTPU Updates:* * *libTPU Explained:* * A crucial, but often unseen, component of the Cloud TPU software stack analogous to CUDA for Nvidia GPUs. * Acts as the bridge between user-written code (e.g., JAX, PyTorch) and the TPU hardware. * Handles compilation, execution, communication, profiling, and debugging on TPUs. * *libTPU Release and SDK:* * The team is working on an official, qualified release of libTPU, providing stability and compatibility guarantees. * A libTPU SDK is under development to give users more self-serve diagnostics, performance estimation, and debugging tools. *Tooling Updates:* * *[**22:11**] Model Explorer (Open Source):* * Addresses limitations of current visualization tools by offering smooth GPU-based rendering for large ML model graphs. * Provides hierarchical graph visualization and allows mapping nodes back to original source code. * Supports various input formats including TensorFlow Lite, SavedModel, MLIR with TF/TFLite/StableHLO dialects, and PyTorch exported programs. *Other:* * [32:14] OpenXLA documentation improvements are ongoing. A feedback survey will be shared. * [33:16] Meeting schedule may shift back to the second week of the month based on community preference. * [33:38] A new Google Meet link is in use. i used gemini 1.5 pro to summarize the transcript
*Summary*
*OpenXLA Project Updates:*
* *[**2:11**] StableHLO v1.0 Released:*
* Achieved planned roadmap items (reference interpreter, spec dynamism, quantization) and exceeded it (composite ops, new floating point types).
* Offers 5 years of backward compatibility and 2 years of forward compatibility to support long-term stability for projects like Google's ODML.
* Deprecated or are exploring deprecation for redundant ops (like Dot and DotGeneral) to simplify compilation pipelines and reduce maintenance.
* Introduced developer experience improvements like colab tutorials and pip wheels.
* *[**5:38**] Upcoming StableHLO Opset Updates:*
* Adding a dedicated Tanh op.
* Adding custom call backend config to support dictionary attributes for greater flexibility.
* Making collective ops variadic to support horizontal scaling.
* A new RFC for int4 and uint4 type support will be posted soon.
* *[**11:48**] libTPU Updates:*
* *libTPU Explained:*
* A crucial, but often unseen, component of the Cloud TPU software stack analogous to CUDA for Nvidia GPUs.
* Acts as the bridge between user-written code (e.g., JAX, PyTorch) and the TPU hardware.
* Handles compilation, execution, communication, profiling, and debugging on TPUs.
* *libTPU Release and SDK:*
* The team is working on an official, qualified release of libTPU, providing stability and compatibility guarantees.
* A libTPU SDK is under development to give users more self-serve diagnostics, performance estimation, and debugging tools.
*Tooling Updates:*
* *[**22:11**] Model Explorer (Open Source):*
* Addresses limitations of current visualization tools by offering smooth GPU-based rendering for large ML model graphs.
* Provides hierarchical graph visualization and allows mapping nodes back to original source code.
* Supports various input formats including TensorFlow Lite, SavedModel, MLIR with TF/TFLite/StableHLO dialects, and PyTorch exported programs.
*Other:*
* [32:14] OpenXLA documentation improvements are ongoing. A feedback survey will be shared.
* [33:16] Meeting schedule may shift back to the second week of the month based on community preference.
* [33:38] A new Google Meet link is in use.
i used gemini 1.5 pro to summarize the transcript