Who contributed to PyTorch on July 9, 2026?

3 developers shipped this update, including GregoryComer, JakeStevens, and huydhn.

What were the notable PyTorch updates?

PyTorch 2.13.0 Release, [c10d][nccl2] Port torchcomms NCCL backend foundation (utils, CUDA API, batch) (#188582), and Support bf16-out quantized embeddings on CPU.

@pytorch

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The Wire · Showcase

PYTORCH 2.13 SHIPS WITH FLEXATTENTION ON APPLE SILICON, NCCL2 BACKEND LANDS IN-TREE

By RepoJournal · Filed 06:04 UTC on July 9, 2026 · About PyTorch

3 people shipped this

GregoryComer @GregoryComer 2 cited

JakeStevens @JakeStevens 1 cited

huydhn @huydhn 1 cited

PyTorch's biggest release in months brings native Apple Silicon acceleration, refactors distributed training infrastructure, and ships quantized embedding support across CPU and accelerators.

PyTorch 2.13.0 is live [1], and the marquee feature is FlexAttention landing on Apple Silicon (MPS) with up to 12x speedup over SDPA on sparse patterns, making M-series deployments finally competitive for attention-heavy workloads. Simultaneously, the NCCL2 backend port [2] begins shipping in-tree as a c10d-native backend selected via init_process_group(backend='nccl2'), replacing the external torchcomms dependency and centralizing distributed training under one roof. ExecutorCh rounds out the release with bf16 quantized embedding support on CPU [3], bf16/fp16 activations in SDPA [4], and XNNPACK delegation fixes for even-kernel same-padding convolutions [5], unblocking deployment patterns that previously fell back to slow paths. The profiler lands a critical CUPTI timestamp callback fix [6] that eliminates per-record clock conversions, and the test suite gains hardware-independent SAC-ILP tests [7] to stop flakiness across GPU models. Test-infra ships release 2.13 go-live [8], advancing stable and candidate to 2.13.0 together, while also introducing a new 'infra_issue' AI verdict [9] to separate real CI failures from code problems.

Action items

→ Test FlexAttention on Apple Silicon targets to unlock 12x sparse attention speedups pytorch/pytorch [plan]
→ Begin planning NCCL2 backend migration from external torchcomms pytorch/pytorch [plan]
→ Ship bf16 embedding quantization to production if you target CPU inference pytorch/executorch [plan]
→ Monitor 2.13 stability in first 48 hours before broad rollout pytorch/pytorch [monitor]

References

[1] PyTorch 2.13.0 Release ↗ pytorch/pytorch
[2] [c10d][nccl2] Port torchcomms NCCL backend foundation (utils, CUDA API, batch) (#188582) pytorch/pytorch
[3] Support bf16-out quantized embeddings on CPU ↗ pytorch/executorch
[4] Support bf16/fp16 activations in CPU SDPA (#20611) ↗ pytorch/executorch
[5] Delegate even-kernel 'same'-padding convs via a quantized static pad (#20553) ↗ pytorch/executorch
[6] [profiler][cupti] Engage the approx-clock timestamp callback via the per-subscriber attribute (#189168) pytorch/pytorch
[7] Make test_sac_ilp hardware-independent by pinning device datasheet (#189278) pytorch/pytorch
[8] Release 2.13 go live. Update release matrix (#8261) pytorch/test-infra
[9] [autorevert] Add infra_issue AI advisor verdict (treated like not_related) ↗ pytorch/test-infra

Quick answers

What shipped in PyTorch on July 9, 2026?: PyTorch's biggest release in months brings native Apple Silicon acceleration, refactors distributed training infrastructure, and ships quantized embedding support across CPU and accelerators. In total, 84 commits, 26 pull requests, and 2 releases landed.
Who contributed to PyTorch on July 9, 2026?: 3 developers shipped this update, including GregoryComer, JakeStevens, and huydhn.
What were the notable PyTorch updates?: PyTorch 2.13.0 Release, [c10d][nccl2] Port torchcomms NCCL backend foundation (utils, CUDA API, batch) (#188582), and Support bf16-out quantized embeddings on CPU.

EXECUTORCH ROUTES REASONING SEPARATELY, PYTORCH MODERNIZES COMPILER STACK

ExecutorTorch's shared OpenAI adapter now exposes optional reasoning content as a first-class output channel, while PyTorch core moves to clang-21 and strips dead C++ macros.

python 20 shipped 1-min read

@pytorch 2 days ago

DYNAMO FIXES GRAPH-BREAKING SDPA PARAMS, PAT SVD LEAK BREAKS DOWNSTREAM TESTS

PyTorch shipped fixes for two critical compilation and module patching bugs overnight that were silently breaking downstream workflows.

python 19 shipped 1-min read

@pytorch 3 days ago

CRITICAL OIDC INJECTION IN DOCS PREVIEW WORKFLOW PATCHED

PyTorch's docs-preview CI trusted fork-controlled artifacts in a context with token-write permissions, exposing the entire build pipeline to code injection.

python 66 shipped 1-min read

@pytorch 4 days ago

PYTORCH AUTOGRAD GETS 7% FASTER, AOTI FIXES SILENT FAILURES

Interned attribute names in autograd.Function shaved microseconds off the hot path while AOTI's scatter operations now properly report errors instead of silently corrupting results.

python 64 shipped 1-min read

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+10

llms 125 shipped 1-min read

@CachyOS about 21 hours ago

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infra 97 shipped 1-min read

Elixir & Phoenix about 21 hours ago

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