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Releases: AIcrowd/whestbench

v0.16.1

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@github-actions github-actions released this 29 Aug 04:32
4d08668

Raises the flopscope floor to 0.12.1, which makes a symmetry tag describe the
buffer it is attached to. No already-scored submission is repriced by it: the
one change that moves a price is full/full_like with a non-scalar
fill_value, and no scored submission in the current phase passes one.

The digit is a patch by decision, not by detection. cz reports MINOR,
because mc_flops_per_sample() below is a new public API. It publishes the
cost of one Monte-Carlo sample -- the MC@B_m baseline submissions are compared
against -- which was previously not stated anywhere participants could check.
It adds a helper and changes no score.

Feat

  • budget: publish the Monte-Carlo per-sample cost model

Fix

  • deps: raise the flopscope floor to 0.12.1

v0.16.0

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@github-actions github-actions released this 21 Aug 22:14
8f0cb19

BREAKING CHANGE

  • a subprocess worker that dies mid-suite is now replaced and the
    run continues, where previously every remaining MLP failed. Suite scores for
    submissions that crash on some MLPs will improve, because only the crashing MLPs
    are now scored as failures.
  • the no-dataset default contest is now 1024x16 with 200,000
    ground-truth samples and an 8 GB solution-process memory limit, replacing 256x32
    with 2,560,000 samples and 64 GB. Local scores from before this change are not
    comparable, and an estimator hardcoding 256x32 will now see 1024x16.
  • the default flop_budget moves from 272_000_000_000 to
    2**41 (2,199,023,255,552). Runs that relied on the old default without passing
    --flop-budget will meter against a ~8x larger cap.
  • ContestSpec.lambda_flops_per_second now defaults to 0.0 instead
    of 1e11, so effective_compute() and is_combined_budget_exhausted() return
    FLOP-only results unless a rate is passed. Callers re-scoring an earlier round
    must pass PHASE1_LAMBDA_FLOPS_PER_SECOND explicitly and set
    residual_wall_time_limit_s=None.

Feat

  • budget: keep every round's config side by side, and document the progression
  • seeds: add seed-protocol 4.0 with keyed per-MLP derivation
  • config: default to the graded 1024x16 shape and the 8 GB solution memory cap
  • budget: default the per-MLP budget to 2**41
  • budget: default lambda to 0 so residual wall time is gated, not priced
  • limits: set the predict wall cap to 120 s and make both caps configurable
  • starterkit: detect dependency drift against the starter kit
  • dataset_torch: record the bake's chunking in the synthesized breakdown

Fix

  • docs: declare rounds and gpu-dataset-generation in the llms.txt manifest
  • docs: add frontmatter to the rounds mirror so the site builds
  • scoring: let make_contest_from_dataset take an explicit seed_salt
  • scoring: bound the metered window without billing harness checks
  • runner: restart a dead worker so one death does not fail the whole suite
  • docs: Phase 1 re-score recipe must also pin the 60 s wall cap
  • cli: report packaging failures with a packaging code, not a scoring one
  • scoring: stop charging harness transport to the per-MLP wall clock
  • packaging: scope the secret-file preview to submission candidates
  • packaging: name dropped siblings, refuse a single file that imports one
  • limits: report wall-clock exhaustion correctly and cap residual at the graded 400 ms
  • domain: pin MLP weights to float32 on every construction path
  • submit: ask AIcrowd whether a submission is allowed
  • dataset_torch: emit operations, use the real chunk_size, drop the fake budget
  • card: an empty companion_repo must omit the cross-link, not invent one

v0.15.0

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@github-actions github-actions released this 17 Aug 22:23
f75669b

BREAKING CHANGE

  • flopscope 0.11.0 moves FLOPs the GRADER charges for calls
    that already ran, so scored submissions need re-evaluation, not only a
    re-baseline. The >52-letter contraction fallback now bills the honest FMA
    count, so tensordot calls built on singleton-axis padding bill ~2x, and ix_
    moves from a shipped weight of 0.0 to 1.0. Separately, non-numeric dtypes
    (object, str, bytes, datetime64, timedelta64, structured/void) now raise
    UnsupportedDtypeError wherever they reach a metered op, on a numeric
    allowlist. Results from linalg/cross/outer/contraction/fft/bmat are now
    wrapped so downstream arithmetic is billed locally; that raises the
    in-process estimate onto what the grader already charged and implies no
    re-evaluation.

Feat

  • deps: adopt flopscope 0.11.0 and re-cap at <0.12.0

Fix

  • runner: honor wall limit before transport timeout

v0.14.0

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@github-actions github-actions released this 31 Jul 03:06

BREAKING CHANGE

  • absolute FLOP counts change with flopscope 0.10.0;
    consumers that budget or score on FLOP counts must re-baseline.

Feat

  • deps: adopt flopscope 0.10.0 and re-cap at <0.11.0 (#117)

v0.13.0

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@github-actions github-actions released this 24 Jul 12:46

BREAKING CHANGE

  • absolute FLOP counts change with flopscope 0.9.1; consumers that
    budget or score on FLOP counts must re-baseline.

Feat

  • deps: adopt flopscope 0.9.1 and recalibrate sampling FLOP synthesis (#115)

Fix

  • reporting: stop presenting dataset bake time as run-time sampling residual (#113)

Refactor

  • reporting: drop the dead legacy budget-breakdown panel renderer (#114)

v0.12.0rc5

v0.12.0rc5 Pre-release
Pre-release

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@github-actions github-actions released this 07 Jul 05:25

Feat

  • cli: make --output optional on whest dataset download (#110)

Fix

  • tests: never evict one-init C extensions in the isolation fixture (#111)

v0.12.0rc4

v0.12.0rc4 Pre-release
Pre-release

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@github-actions github-actions released this 27 Jun 15:20

Fix

  • Single-source the per-MLP SeedSequence(mlp_seed).spawn(3)[2] estimator-seed
    derivation in whestbench/seeds.py (used by both dataset baking and MLP.from_row),
    and make make_contest_from_dataset seed-protocol resolution explicit and fail-loud:
    it takes a seed_protocol_version argument and raises on an unresolved or unsupported
    version (e.g. a typo, or the whole seed_protocol dict) instead of silently falling
    back to legacy raw seeds. No behavior change for whest run --dataset on a registered
    dataset. Enables the grader to ship the dataset's baked seed so local scores reproduce
    (AIcrowd/whestbench-evaluator#153; PR #109).

v0.12.0rc3

v0.12.0rc3 Pre-release
Pre-release

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@github-actions github-actions released this 26 Jun 11:20

Feat

  • cli: self-check the packaged archive on whest submit --dry-run (#107)
  • cli: validate the submission archive before upload in whest submit (#107)
  • cli: add whest validate-package (#107)
  • validation: local submission-archive validator mirroring the grader (#107)

Fix

  • adopt flopscope 0.8.0rc5 immutable-array API; pin floor to rc5
  • validation: never crash on malformed manifests; chunked hashing (#107)
  • packaging: package-aware reachability so subpackages aren't flagged dead (#107)
  • packaging: reject directory entries in build_manifest/_sha256 (#107)

v0.12.0rc2

v0.12.0rc2 Pre-release
Pre-release

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@github-actions github-actions released this 23 Jun 17:49

Fix

  • cli: drop misleading requirements.txt guidance
  • packaging: ship single files as estimator.py; validate predict signature

v0.12.0rc1

v0.12.0rc1 Pre-release
Pre-release

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@github-actions github-actions released this 22 Jun 22:42

Feat

  • cli: readable AIcrowd API errors — typed errors with clear messages and hints instead of raw HTTP redirect dumps (#98)
  • cli: warn when --revision conflicts with an embedded @rev (#101)

Fix

  • deps: bump flopscope pin to >=0.8.0rc2
  • cli: honor --revision for hf:// datasets + warn when unpinned (#100)