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deps(lora-quantum-ai): bump the lora-quantum-ai-deps group across 1 directory with 4 updates#824

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deps(lora-quantum-ai): bump the lora-quantum-ai-deps group across 1 directory with 4 updates#824
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Updates the requirements on torch, torchvision, tqdm and mypy to permit the latest version.
Updates torch to 2.13.0

Release notes

Sourced from torch's releases.

PyTorch 2.13.0 Release Notes

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pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t was experimental and has been superseded by the now-non-experimental CPython 3.14t.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)

Changelog

Sourced from torch's changelog.

Releasing PyTorch

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch 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 ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

Updates torchvision to 0.28.0

Release notes

Sourced from torchvision's releases.

TorchVision 0.28.0 Release

TorchVision 0.28 is out! This is a small release whose main change is the removal of the deprecated video decoding and encoding APIs (read_video, write_video, read_video_timestamps, VideoReader) from torchvision.io. Video decoding and encoding has fully migrated to TorchCodec as a part of our efforts to re-focus TorchVision. On the transforms side, v2.Resize now accepts string interpolation modes (e.g. "bilinear") and correctly honors NEAREST_EXACT on masks.

Backwards Incompatible Changes

  • Video decoding/encoding removed from torchvision.io; migrated to TorchCodec (#9451)

    read_video, write_video, read_video_timestamps, and VideoReader are no longer available in OSS torchvision, and the video-backed datasets now require TorchCodec. These APIs were deprecated (with warnings) in prior releases and are now gone.

    Symptoms you may hit:

    • ImportError: cannot import name 'read_video' from 'torchvision.io'
    • import torchvision.io.video raising ModuleNotFoundError/ImportError
    • From video datasets: ImportError: Video decoding capabilities were removed from torchvision and migrated to TorchCodec. Please install TorchCodec following instructions at https://github.com/pytorch/torchcodec#installing-torchcodec

    As an example, if you performed the following on TorchVision 0.27:

    from torchvision.io import read_video
    frames, audio, info = read_video("video.mp4")

    You would now achieve that with:

    # pip install torchcodec
    from torchcodec.decoders import VideoDecoder
    decoder = VideoDecoder("video.mp4")
    frames = decoder[:]  # or decoder.get_frames_in_range(...), etc.

    See the TorchCodec documentation for tutorials and API references.

Improvements

  • Allow passing interpolation as a string (e.g. "bilinear", "nearest") in resize transforms, in addition to the InterpolationMode enum (#9461)
  • tv_tensors.wrap() now preserves metadata for custom TVTensor subclasses — a subclass can define its own .wrap() method to control how it is re-wrapped (#9490)

Bug fixes

  • Fix F.resize on tv_tensors.Mask to honor NEAREST_EXACT interpolation. Previously the interpolation argument was ignored for mask inputs (resize_mask hardcoded NEAREST), so NEAREST_EXACT silently produced plain NEAREST output (#9497)
  • Fix a GIF decoder bug on malformed GIFs that could write outside the allocated tensor's memory (#9520)
Commits

Updates tqdm to 4.68.4

Release notes

Sourced from tqdm's releases.

tqdm v4.68.4 stable

  • trim to ncols even when '{bar}' not in bar_format (#1717, #1767 <- #1658)
  • fix tqdm.write when stdout=None (#1768)
Commits

Updates mypy to 2.2.0

Changelog

Sourced from mypy's changelog.

Mypy Release Notes

Next Release

Mypy 2.2

We've just uploaded mypy 2.2.0 to the Python Package Index (PyPI). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows:

python3 -m pip install -U mypy

You can read the full documentation for this release on Read the Docs.

Support for Closed TypedDicts (PEP 728)

Mypy now supports closed TypedDicts as specified in PEP 728. A closed TypedDict cannot have extra keys beyond those explicitly defined. This allows the type checker to determine that certain operations are safe when they otherwise wouldn't be due to the potential presence of unknown keys.

You can use the closed keyword argument with TypedDict:

HasName = TypedDict("HasName", {"name": str})
HasOnlyName = TypedDict("HasOnlyName", {"name": str}, closed=True)
Movie = TypedDict("Movie", {"name": str, "year": int})
movie: Movie = {"name": "Nimona", "year": 2023}
has_name: HasName = movie  # OK: HasName is open (default)
has_only_name: HasOnlyName = movie  # Error: HasOnlyName is closed and Movie has extra "year" key

Closed TypedDicts enable more precise type checking because the type checker knows exactly which keys are present. This is particularly useful when working with TypedDict unions or when you want to ensure that a TypedDict conforms to an exact shape.

The closed keyword also enables safe type narrowing with in checks:

Book = TypedDict('Book', {'book': str}, closed=True)
DVD = TypedDict('DVD', {'dvd': str}, closed=True)
type Inventory = Book | DVD
def print_type(inventory: Inventory) -> None:
if "book" in inventory:
# Type is narrowed to Book here - safe because DVD is closed
print(inventory["book"])
else:
# Type is narrowed to DVD here
print(inventory["dvd"])
</tr></table>

... (truncated)

Commits

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…irectory with 4 updates

Updates the requirements on [torch](https://github.com/pytorch/pytorch), [torchvision](https://github.com/pytorch/vision), [tqdm](https://github.com/tqdm/tqdm) and [mypy](https://github.com/python/mypy) to permit the latest version.

Updates `torch` 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@ciflow/torchtitan/157149...v2.13.0)

Updates `torchvision` to 0.28.0
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](pytorch/vision@v0.27.1...v0.28.0)

Updates `tqdm` to 4.68.4
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.68.3...v4.68.4)

Updates `mypy` to 2.2.0
- [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md)
- [Commits](python/mypy@v2.1.0...v2.2.0)

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.13.0
  dependency-type: direct:production
  dependency-group: lora-quantum-ai-deps
- dependency-name: torchvision
  dependency-version: 0.28.0
  dependency-type: direct:production
  dependency-group: lora-quantum-ai-deps
- dependency-name: tqdm
  dependency-version: 4.68.4
  dependency-type: direct:production
  dependency-group: lora-quantum-ai-deps
- dependency-name: mypy
  dependency-version: 2.2.0
  dependency-type: direct:production
  dependency-group: lora-quantum-ai-deps
...

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