Everything in this repository runs on Linux accelerator hosts, and campaign
receipts record the SHA-256 of the harness files that produced them. With Git's
default autocrlf on Windows a checkout rewrites the shell drivers with CRLF,
which breaks them outright on the target host and changes every recorded digest.
The two inventory CSVs are renormalized here because their content is unchanged;
the remaining files normalize as part of the commits that actually modify them.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
run_batch.py drives run_pytest.sh per operator across GPUs (stable-hash
sharding, per-op subprocess isolation, process-group timeouts, retry with
deterministic-failure cutoff, two-level dtype fallback, .complete resume,
per-op REPLAY_FROM). batch_summary.py aggregates run.log tables into
summary.csv. ops/ holds the curated assets: dual-repo inventories rebuilt
via AST scan + pytest collect verification, shape sets migrated from the
old regression harness and merged with upstream core_shapes class-name
keys (upstream's set_shapes falls back op_name -> MRO class name ->
1-D DEFAULT_SHAPES, so replacing the shape file without class keys
crashes the BLAS family), and a dismiss list where all 76 entries carry
verified reasons. Validated end to end: 1036-op full screen with zero
failures.
Also fix two cudagraph plugin regressions: newer torch appends "enable
device-side assertions" to every CUDA error, so the loose fatal-error
marker disabled the documented do_bench fallback entirely; and an aborted
graph capture can leave the default CUDA RNG generator stuck in capturing
state, poisoning every later torch.randn - captures now run under a
throwaway RNG state. run_pytest.sh gains an optional DTYPES passthrough.
AharrypotterandClaude Opus 5
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