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wire 2026-08-27
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EXECUTORCH STRIPS MPS, PYTORCH DROPS UNUSED DEPS

By RepoJournal · Filed · About PyTorch · Composed from the cited sources · methodology

Anthony Shoumikhin RJ Ascani Yuanyuan Chen Fierynx jinsooihm Gasoonjia mcremon-meta
12 people shipped this
Anthony Shoumikhin @shoumikhin 3 cited RJ Ascani @rascani 2 cited Yuanyuan Chen @cyyever 2 cited Fierynx @Fierynx 1 cited jinsooihm @jinsooihm 1 cited Gasoonjia @Gasoonjia mcremon-meta @mcremon-meta quinnarnold @quinnarnold gtnv @gtnv albanD @albanD Pian Pawakapan @pianpwk wwwjn @wwwjn

ExecuTorch finally deletes the deprecated MPS backend and PyTorch cuts dead weight in its build, while the rest of the stack quietly hardens.

ExecuTorch removed the MPS backend as promised in its deprecation notice [1], shipping in 1.5.0 after being overdue. Meanwhile, the project fixed a subtle graph copy bug that wasted 68 MB of memory on a four-method model [2], and fixed a Cortex-M kernel miscompilation that produced incorrect results for quantized add with an alpha multiplier [3]. On PyTorch core, the build no longer links the unused cuRAND host library [4] and generate_code.py lost a flag that hadn't done anything since 2021 [5]. The gradcheck fix addresses a long-standing issue where non-differentiable outputs could corrupt projections [6]. Torchtitan's MFU calculation was overcounting FLOPS for sliding window attention models, sometimes exceeding 100% [7]. TensorRT's Windows CI was failing 170 of 300 jobs due to a malformed artifact name [8], and ExecuTorch's packaged runner now registers the device copy kernels it was missing [9].

Action items

References

  1. [1] Remove the deprecated MPS backend (#22181) pytorch/executorch ↗
  2. [2] Fix issues in the export recipe framework (#22158) pytorch/executorch ↗
  3. [3] Cortex-M: lower subtraction, and stop miscompiling add with alpha (#22153) pytorch/executorch ↗
  4. [4] Stop linking the cuRAND host library (#194850) pytorch/pytorch ↗
  5. [5] Drop the dead force_schema_registration flag from generate_code.py (#194843) pytorch/pytorch ↗
  6. [6] Fix fast gradcheck when non-differentiable outputs precede differentiable ones (#194222) pytorch/pytorch ↗
  7. [7] Fix mfu calculation for muse glimmer and gpt_oss ↗ pytorch/torchtitan
  8. [8] fix(ci): build the Windows download artifact name in the right order ↗ pytorch/TensorRT
  9. [9] fix(executorch): register device copy kernels in the packaged runner ↗ pytorch/TensorRT

$ ls pytorch/reviews/ # the step-back reads

the week in review torch.compile dtype fix, two Arm CVEs patched the month in review PyTorch 2.14.0 ships, TorchRL 0.14 lands
Full archive → Weekly reviews →

Quick answers

What shipped in PyTorch on August 27, 2026?
ExecuTorch finally deletes the deprecated MPS backend and PyTorch cuts dead weight in its build, while the rest of the stack quietly hardens. In total, 103 commits and 50 pull requests landed.
Who contributed to PyTorch on August 27, 2026?
12 developers shipped this update, including Gasoonjia, RJ Ascani, Anthony Shoumikhin, mcremon-meta, quinnarnold, gtnv, Yuanyuan Chen, and albanD, and 4 more.
What were the notable PyTorch updates?
Remove the deprecated MPS backend (#22181), Fix issues in the export recipe framework (#22158), and Cortex-M: lower subtraction, and stop miscompiling add with alpha (#22153).
♥

$ log @pytorch --recent

Tensordict compiles masked indexing under fullgraph; ExecuTorch links WebGPU into the Wasm build 138 shipped TensorDict 0.15.0 goes pure Python, 1.77x faster 183 shipped Inductor hands Triton kernels to the worker pool, RL rollout KV cache persists across turns 219 shipped ExecuTorch drops Python 3.10, TensorRT trims compile startup, tensordict fixes silent h5 loss 164 shipped

$ log --all # elsewhere on the wire

Alignment & Post-training verl rejects conflicting vLLM engine_kwargs, open-instruct adds MILES OPD behind a Megatron learner Interpretability nnsight 0.8.0 cuts import time from 7.6s to 1.6s

$ ls showcases/

Safety Evals AI Red Teaming Agent Security Interpretability Alignment & Post-training

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