July 2025 (2025-07) — pytorch/torchrec monthly summary Key features delivered: - Sharding Plan Conditional Statistics Logging: Implemented a conditional logging mechanism for the sharding plan that is controlled by the training.planner.log_plan flag, ensuring that only valid statistics are logged. This reduces log noise and improves the relevance of logs for debugging and performance tuning. (Commit: 7514d2b3dbe806a58eeffa2be4e21b370bdf5767) Major bugs fixed: - No major bugs fixed in this period for pytorch/torchrec. Maintained stability while implementing logging enhancements. Overall impact and accomplishments: - Enhanced observability for the sharding planner by delivering targeted, flag-controlled statistics logging. This supports faster troubleshooting, clearer dashboards, and better alignment with training workflows. - Contributed to maintainable logging practices, setting a foundation for future conditional logging features across the repository. Technologies/skills demonstrated: - Python, logging/observability patterns, feature flag-driven development, version control (Git) and patch-level hygiene.