Initial commit: obsidian to gitea

phd/weekly-report/260125.md

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+Objectives
+- Auto LLM inference config tuner
+
+Key Results
+- [8/10] Build the agentic tuner system
+- [2/10] Paper outline
+- [10/10] Build the first version auto tuner system
+- [2/10] Workload grouping methods
+- [8/10] Check the current situation of parallelism config optimization
+- [4/10] Understand the possibility/challenges in LLM inference compute graph arrangement automatically
+- [1/10] Define the IR for automatic optimization
+- [5/10] Profile different parallelism setup with real trace and analysis their difference
+
+Last Week
+- [KR1] Update agentic AITuner to support DP vs replicas, early-stop error handling, fix problems/illegal constrains in large search space. [6c0940e7](https://ipads.se.sjtu.edu.cn:1312/wangjh/auto-tuner/-/commit/6c0940e7b0a234265290398fe0a7ca7b7f3d4178) ~ [0cbc1727](https://ipads.se.sjtu.edu.cn:1312/wangjh/auto-tuner/-/commit/0cbc1727c06589ea9b021b223883d0fd114fd4c7)
+- [KR2] Prepare draft for paper outline, summarize current story and what to do next.
+- [misc] Prepare a [paper template](https://ipads.se.sjtu.edu.cn:1312/wangjh/paper-ai-tuner). 
+- [misc] Open source our new trace and trace-replayer at https://github.com/alibaba-edu/qwen-bailian-usagetraces-anon.
+
+Next Week
+- Compare to Ali production environment's configs.