Bump torch from 2.12.0 to 2.13.0 in /sota-implementations/expert-iteration

[dependabot]

Bumps torch from 2.12.0 to 2.13.0.

Release notes

Sourced from torch's releases.

PyTorch 2.13.0 Release Notes

• Highlights
• Backwards Incompatible Changes
• Deprecations
• New Features
• Improvements
• Bug fixes
• Performance
• Documentation
• Developers

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Tracked Regressions

ROCm wheels break torch.compile on CPU in environments without a GPU

Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.

Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.

Backwards Incompatible Changes

• Stop building CPython 3.13t (free-threaded) binaries (#182951)

  Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result, PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the free-threaded interpreter should move to Python 3.14t.

  PyTorch 2.12:

  # cp313t (free-threaded 3.13) wheels were available
  python3.13t -m pip install torch

  PyTorch 2.13:

... (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 ...
• 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
• 4e077a7 Remove setuptools upper bound (#188190)
• Additional commits viewable in compare view

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[pytorch-bot]

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❌ 1 New Failure, 1 Unclassified Failure

As of commit 2c9294f with merge base d7659c7 ():

NEW FAILURE - The following job has failed:

• Unit-tests on Linux / tests-cpu (3.14, bulk) / linux-job (gh)
  test/objectives/test_ddpg.py::TestDDPG::test_ddpg_prioritized_weights

UNCLASSIFIED FAILURE - DrCI could not classify the following job because the workflow did not run on the merge base. The failure may be pre-existing on trunk or introduced by this PR:

• PR Label / add-label (gh) (this job did not run on the merge base, so DrCI cannot tell whether the failure is pre-existing)
  ##[error]PR title must start with [Label]. Got: 'Bump torch from 2.12.0 to 2.13.0 in /sota-implementations/expert-iteration'

This comment was automatically generated by Dr. CI and updates every 15 minutes.

[github-actions]

⚠️ PR Title Label Error

PR title must start with a label prefix in brackets (e.g., [BugFix]).

Current title: Bump torch from 2.12.0 to 2.13.0 in /sota-implementations/expert-iteration

Supported Prefixes (case-sensitive)

Your PR title must start with exactly one of these prefixes:

Prefix	Label Applied	Example
[Algorithm]	new algo	[Algorithm] Add new RL objective
[BE]	BE	[BE] Improve error messages
[Benchmark] or [Benchmarks]	Benchmarks	[Benchmark] Add collector benchmark
[BugFix]	BugFix	[BugFix] Fix memory leak in collector
[Example] or [Examples]	Examples	[Example] Add training script
[Feature]	Feature	[Feature] Add new optimizer
[Doc] or [Docs]	Documentation	[Doc] Update installation guide
[Refactor]	Refactoring	[Refactor] Clean up module imports
[CI]	CI	[CI] Fix workflow permissions
[Test] or [Tests]	Tests	[Tests] Add unit tests for buffer
[Trainer] or [Trainers]	Trainers	[Trainer] Add trainer config
[Environment] or [Environments]	Environments	[Environments] Add Gymnasium support
[Data]	Data	[Data] Fix replay buffer sampling
[LLM]	llm/	[LLM] Add reward model integration
[Minor]	small change	[Minor] Fix typo in error message
[Performance] or [Perf]	Performance	[Performance] Optimize tensor ops
[BC-Breaking]	bc breaking	[BC-Breaking] Remove deprecated API
[Deprecation]	Deprecation	[Deprecation] Mark old function
[Algorithm] or [Algorithms]	new algo	[Algorithm] Add new objective
[Quality]	Quality	[Quality] Fix typos and add codespell
[Versioning]	versioning	[Versioning] Bump release version
[WIP]	WIP	[WIP] Draft implementation

Note: Common variations like singular/plural are supported (e.g., [Doc] or [Docs]).

[github-actions]

⚠️ PR Title Label Error

PR title must start with a label prefix in brackets (e.g., [BugFix]).

Current title: Bump torch from 2.12.0 to 2.13.0 in /sota-implementations/expert-iteration

Supported Prefixes (case-sensitive)

Your PR title must start with exactly one of these prefixes:

Prefix	Label Applied	Example
[Algorithm]	new algo	[Algorithm] Add new RL objective
[BE]	BE	[BE] Improve error messages
[Benchmark] or [Benchmarks]	Benchmarks	[Benchmark] Add collector benchmark
[BugFix]	BugFix	[BugFix] Fix memory leak in collector
[Example] or [Examples]	Examples	[Example] Add training script
[Feature]	Feature	[Feature] Add new optimizer
[Doc] or [Docs]	Documentation	[Doc] Update installation guide
[Refactor]	Refactoring	[Refactor] Clean up module imports
[CI]	CI	[CI] Fix workflow permissions
[Test] or [Tests]	Tests	[Tests] Add unit tests for buffer
[Trainer] or [Trainers]	Trainers	[Trainer] Add trainer config
[Environment] or [Environments]	Environments	[Environments] Add Gymnasium support
[Data]	Data	[Data] Fix replay buffer sampling
[LLM]	llm/	[LLM] Add reward model integration
[Minor]	small change	[Minor] Fix typo in error message
[Performance] or [Perf]	Performance	[Performance] Optimize tensor ops
[BC-Breaking]	bc breaking	[BC-Breaking] Remove deprecated API
[Deprecation]	Deprecation	[Deprecation] Mark old function
[Algorithm] or [Algorithms]	new algo	[Algorithm] Add new objective
[Quality]	Quality	[Quality] Fix typos and add codespell
[Versioning]	versioning	[Versioning] Bump release version
[WIP]	WIP	[WIP] Draft implementation

Note: Common variations like singular/plural are supported (e.g., [Doc] or [Docs]).

[vmoens]

Reviewed the rebased head 2c9294f. There is a dependency-resolution blocker in both edited requirement sets: a Linux/Python 3.12 uv resolution reports that vllm==0.24.0 requires torch==2.11.0, while this change pins torch==2.13.0, so the environment is unsatisfiable. Please update the vLLM pin to a release compatible with torch 2.13 (and re-resolve the complete file), or keep the torch pin aligned with vLLM. Separately, the latest add-label check fails because the title has no canonical prefix; [Versioning] Bump torch from 2.12.0 to 2.13.0 in /sota-implementations/expert-iteration would satisfy the repository convention. The remaining post-rebase checks are still running.