[RyanPCo]

/torchinductor__<SLURM_JOB_ID>, set at the top of trainHydra's
main() so every job (sbatch, salloc, each submitit array task) keys on its own
job id; a -m launcher imports the module but never runs main(). Inductor
puts the Triton cache inside it. Outside Slurm torch's default is left alone
so local re-runs keep a warm cache. A value from the user's shell wins; one
inherited from a process that set it for another job is replaced.
Replaces the hand-copied sbatch lines on other branches.

Co-Authored-By: Claude Fable 5.1 [email protected]
Claude-Session: https://claude.ai/code/session_01MWtR1x5tjREwoxQZAnUGrh
Co-Authored-By: Claude Opus 5 (1M context) [email protected]
Claude-Session: https://claude.ai/code/session_01BbQNNaMAbTNMypegmJkv4s

🤖 Generated with Claude Code

https://claude.ai/code/session_01MWtR1x5tjREwoxQZAnUGrh
https://claude.ai/code/session_01BbQNNaMAbTNMypegmJkv4s

[RyanPCo]

• train: give each Slurm slurm job gets its own cache dir to avoid conflict #638 : 2 dependent PRs (#639 , #653 ) 👈 (View in Graphite)
• write git version into the run dir for reproducibility #637
• train: don't load PI base weights on resume and verify that checkpoint path exists #636
• configs: declare proprio and actions dims once per HPT model config #634 : 1 other dependent PR (#635 )
• cache norm stats for data configs to minimize recomputation #633
• import cloud packages lazily to support local training #631 : 1 other dependent PR (#632 )
• cache dataset resolver for faster training initialization #630
• validate episode hashes in data config before training #628
• modify pi camera map to match data #629
• add tests to ensure training works between every model and data vendor #626
• run CI tests on every PR #625
• add env variables for user-specific paths #624
• build: set pyproject and uv as the dependency managers #623
• fix(configs): fix paths for data hydra yaml configs #622
• refactor(algo): delete ACT #627 : 1 other dependent PR (#621 )
• tests: create dedicated test folder with unit and integration tests #620
• add pyright type checker #619
• main

This stack of pull requests is managed by Graphite. Learn more about stacking.

[RyanPCo]

@greptileai

[greptile-apps]

Confidence Score: 5/5

[Medium risk] Training job cache isolation for parallel Slurm jobs.

The PR appears safe to merge; no actionable failure was established.

Summary

The PR sets TORCHINDUCTOR_CACHE_DIR when a Slurm training job enters trainHydra.main, using its job ID while preserving an explicit cache setting and the non-Slurm default.

• Adds a marker to distinguish a directory set by this helper from an explicit override inherited by a later job.
• Adds unit tests for job IDs, overrides, subprocess inheritance, and call placement.

_{Reviews (1) · Last reviewed commit: "train: per-job TORCHINDUCTOR_CACHE_DIR u..."}

[RyanPCo]

Merge activity

• Oct 19, 7:23 PM UTC: A user started a stack merge that includes this pull request via Graphite.
• Oct 19, 7:29 PM UTC: Graphite rebased this pull request as part of a merge.
• Oct 19, 7:29 PM UTC: @RyanPCo merged this pull request with Graphite.