October 2025 monthly summary for tenstorrent/tt-xla. This period focused on expanding robust JAX training test coverage and stabilizing CI workflows to accelerate validation across model architectures. Key features delivered include enabling single-chip JAX training tests via tester refactor and wrapper_model abstraction, along with enhancements to pytest tagging/arguments and training kwargs handling. CI infrastructure improvements were implemented to use shared runners and strengthen test discovery and execution paths, and a syntax error in the training preset was fixed to ensure CI runs proceed reliably. These efforts collectively reduce feedback cycle times, increase testing coverage, and bolster confidence in platform stability.

Monthly summary for 2025-09. Focused on delivering cross-frontend consistency improvements and improving tag-tracking reliability in tenstorrent/tt-forge-fe. Key changes include enum casing standardization and enhanced training tag tracking to support accurate model training workflows. All work aligns with frontend conventions and reduces tagging discrepancies across components.

Month: 2025-08 — tt-forge-fe: Focused on reliability and training workflow improvements, delivering a critical bug fix and expanding training-mode instrumentation with broader test coverage. This work enhances correctness of MLIR lowering for select ops and strengthens end-to-end training validation, reducing production risk and accelerating debugging of training-related issues.