chore(deps): bump torch from 2.12.0 to 2.13.0#807
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Bumps [torch](https://github.com/pytorch/pytorch) from 2.12.0 to 2.13.0. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md) - [Commits](pytorch/pytorch@v2.12.0...v2.13.0) --- updated-dependencies: - dependency-name: torch dependency-version: 2.13.0 dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com>
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Benchmark delta (vs
|
| size | recall@k (head Δ vs base) | MRR (head Δ vs base) | p99 (ms) |
|---|---|---|---|
| 50 | ✅ 0.5649 (+0.0000) | ✅ 0.4978 (+0.0000) | ✅ 0.476 (base 0.650) |
| 83 | ✅ 0.3825 (+0.0000) | ✅ 0.3242 (+0.0000) | ✅ 0.715 (base 1.205) |
| 1000 | ✅ 0.1475 (+0.0000) | ✅ 0.1456 (+0.0000) | ✅ 43.547 (base 47.855) |
Per-backend × per-size matrix
| backend | size | recall@k (Δ) | MRR (Δ) | p99 (ms) |
|---|---|---|---|---|
| bm25 | 100 | ✅ 0.3825 (+0.0000) | ✅ 0.3399 (+0.0000) | ✅ 6.556 (base 8.399) |
| bm25 | 500 | ✅ 0.2250 (+0.0000) | ✅ 0.2165 (+0.0000) | ✅ 29.377 (base 41.865) |
| bm25 | 1000 | ✅ 0.1575 (+0.0000) | ✅ 0.1525 (+0.0000) | ✅ 88.112 (base 112.387) |
| embedding_hashing | 100 | ✅ 0.5175 (+0.0000) | ✅ 0.4360 (+0.0000) | ✅ 7.679 (base 7.218) |
| embedding_hashing | 500 | ✅ 0.2700 (+0.0000) | ✅ 0.2674 (+0.0000) | ✅ 43.267 (base 43.171) |
| embedding_hashing | 1000 | ✅ 0.2000 (+0.0000) | ✅ 0.1931 (+0.0000) | ✅ 100.706 (base 102.979) |
| embedding_st | 100 | skipped (skipped: missing sentence-transformers) | — | — |
| embedding_st | 500 | skipped (skipped: missing sentence-transformers) | — | — |
| embedding_st | 1000 | skipped (skipped: missing sentence-transformers) | — | — |
| fuzzy | 100 | skipped (skipped: missing rapidfuzz) | — | — |
| fuzzy | 500 | skipped (skipped: missing rapidfuzz) | — | — |
| fuzzy | 1000 | skipped (skipped: missing rapidfuzz) | — | — |
| tfidf | 100 | ✅ 0.3825 (+0.0000) | ✅ 0.3220 (+0.0000) | ✅ 1.070 (base 1.193) |
| tfidf | 500 | ✅ 0.2325 (+0.0000) | ✅ 0.2314 (+0.0000) | ✅ 9.302 (base 10.803) |
| tfidf | 1000 | ✅ 0.1475 (+0.0000) | ✅ 0.1456 (+0.0000) | ✅ 36.063 (base 42.986) |
Context pipeline (per scenario)
| scenario | tokens | dropped | dedup |
|---|---|---|---|
| large_catalog | 1480 (base 1480, Δ+0) | 0 (base 0, Δ+0) | 0 (base 0, Δ+0) |
| long_conversation | 2500 (base 2500, Δ+0) | 0 (base 0, Δ+0) | 0 (base 0, Δ+0) |
| mixed_payload | 488 (base 488, Δ+0) | 0 (base 0, Δ+0) | 0 (base 0, Δ+0) |
| short_conversation | 487 (base 487, Δ+0) | 0 (base 0, Δ+0) | 0 (base 0, Δ+0) |
| stress_conversation | 6590 (base 6590, Δ+0) | 11 (base 11, Δ+0) | 4 (base 4, Δ+0) |
| tiny_payload | 256 (base 256, Δ+0) | 0 (base 0, Δ+0) | 0 (base 0, Δ+0) |
Numbers come from make benchmark / make benchmark-matrix.
Latency is hardware-dependent — treat the markers as a rough guide.
See benchmarks/scorecard.md for the full picture.
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Bumps torch from 2.12.0 to 2.13.0.
Release notes
Sourced from torch's releases.
... (truncated)
Commits
cf30153[release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...3e3e24b[release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...7986b06[release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)0bdbc26[release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)9cabb45[release/2.13] Update manywheel docker image pin to 78e737ad (#188409)78e737a[release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...0bb9b5b[release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...aaac2bf[release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...9330813Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)4e077a7Remove setuptools upper bound (#188190)