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deps(lora-quantum-ai): bump the lora-quantum-ai-deps group across 1 directory with 5 updates#831

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deps(lora-quantum-ai): bump the lora-quantum-ai-deps group across 1 directory with 5 updates#831
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Updates the requirements on torch, torchvision, plotly, 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pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t was experimental and has been superseded by the now-non-experimental CPython 3.14t.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 with some small enhancement and bug-fixes:

Enhancements

  • [transforms] Let wrap() preserve metadata for custom TVTensor subclasses (#9490)
  • [transforms] Allow strings for interpolation param in resize transforms (#9461)

Bug fixes

  • [transforms] 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)
  • [io] Fix a GIF decoder bug on malformed GIFs that could write outside the allocated tensor's memory (#9520)

Contributors

🎉 We're grateful for our community, which helps us improve Torchvision by submitting issues and PRs, and providing feedback and suggestions. The following persons have contributed patches for this release:

Andrey Talman, Benson Ma, Jason Fried, Joanne Yun, Nicolas Hug

Commits

Updates plotly to 6.9.0

Release notes

Sourced from plotly's releases.

v6.9.0

Fixed

  • Raise a clear ValueError when an unsupported marginal plot type is passed to Plotly Express, instead of failing later with a cryptic 'NoneType' object has no attribute 'constructor' message [#5625], with thanks to @​eugen-goebel for the contribution!

Updated

  • Update plotly.js from version 3.6.0 to version 3.7.0. See the plotly.js release notes for more information [#5639]. Notable changes include:
    • Rename sendDataToCloud modebar button to sendChartToCloud, and update to upload chart to Plotly Cloud [#7802, #7852, #7854]. NOTE: The Plotly Cloud endpoint for receiving charts is not yet functional, so this button won't complete the upload.
    • Fix stale scattergl error bars after toggling traces with mixed error bar visibility [#7773], with thanks to @​JulienIcon for the contribution!
    • Fix geo fitbounds to choose a compact longitude range when point data straddles the antimeridian [#7837], with thanks to @​SharadhNaidu for the contribution!

Full Changelog: plotly/plotly.py@v6.8.0...v6.9.0

Changelog

Sourced from plotly's changelog.

[6.9.0] - 2026-07-09

Fixed

  • Raise a clear ValueError when an unsupported marginal plot type is passed to Plotly Express, instead of failing later with a cryptic 'NoneType' object has no attribute 'constructor' message [#5625], with thanks to @​eugen-goebel for the contribution!

Updated

  • Update plotly.js from version 3.6.0 to version 3.7.0. See the plotly.js release notes for more information [#5639]. Notable changes include:
    • Rename sendDataToCloud modebar button to sendChartToCloud, and update to upload chart to Plotly Cloud [#7802, #7852, #7854]. NOTE: The Plotly Cloud endpoint for receiving charts is not yet functional, so this button won't complete the upload.
    • Fix stale scattergl error bars after toggling traces with mixed error bar visibility [#7773], with thanks to @​JulienIcon for the contribution!
    • Fix geo fitbounds to choose a compact longitude range when point data straddles the antimeridian [#7837], with thanks to @​SharadhNaidu for the contribution!

[6.8.0] - 2026-06-03

Added

  • Add optional font parameter for make_subplots [#5393], with thanks to @​Zomtir for the contribution!

Fixed

  • Fix issue where user-specified color_continuous_scale was ignored when template had autocolorscale=True [#5439], with thanks to @​antonymilne for the contribution!
  • Use presence of COLAB_NOTEBOOK_ID env var to enable Colab renderer instead of testing import of google.colab [#5473], with thanks to @​kevineger for the contribution!
  • Fix incorrect annotation placement for add_vline, add_hline, add_vrect, and add_hrect on datetime axes [#5508], with thanks to @​mosh3eb for the contribution!
  • Update tests to be compatible with numpy 2.4 [#5522], with thanks to @​thunze for the contribution!
  • Fix issue where js/ directory was unintentionally installed as a top-level Python package when installing plotly [#5587]
  • Add default headers to be passed in to Kaleido v1.3.0 to avoid blocked Open Street Map tiles [#5588]
  • Propagate the requested default_height/default_width to the outer wrapper div produced by to_html so that responsive (percentage) dimensions inherit from a sized parent container instead of collapsing to the plotly.js 450px fallback [#5591], with thanks to @​SharadhNaidu for the contribution!

Updated

  • The __eq__ method for graph_objects classes now returns NotImplemented to give the other operand an opportunity to handle the comparison [#5547], with thanks to @​RazerM for the contribution!
  • Update plotly.js from version 3.5.0 to version 3.6.0. See the plotly.js release notes for more information [#5608]. Notable changes include:
    • Add support for arrays for the pie property legendrank, so that it can be configured per slice [#7723]
    • Add hoversort layout attribute to sort unified hover label items by value [#7734]

[6.7.0] - 2026-04-09

Added

  • Add facet_row support to px.imshow for creating subplots along an additional dimension [#5445], with thanks to @​FBumann for the contribution!

Fixed

  • Update numpy.percentile syntax to stop using deprecated alias [#5483], with thanks to @​Mr-Neutr0n for the contribution!
    • numpy with a version less than 1.22 is no longer supported.
  • Handle empty px.histogram by skipping None label in hover template [#5535], with thanks to @​tysoncung for the contribution!

Updated

  • Update plotly.js from version 3.4.0 to version 3.5.0. See the plotly.js release notes for more information. [#5565]. Notable changes include:
    • Add hoveranywhere and clickanywhere layout attributes to enable emitting hover and click events anywhere in the plot area, not just over traces [#7707]
    • Add displayNotifier configuration property to set the display of notifier in the top right area of the viewport [#7730]
    • Update USA location lookup for scattergeo and choropleth traces to use both location names and abbreviations [#7731]

[6.6.0] - 2026-03-02

... (truncated)

Commits
  • 495134a update date
  • 2e824d8 version changes for v6.9.0
  • c27c986 Merge pull request #5639 from plotly/update-plotlyjs-3.7.0
  • 3d63d05 typos
  • fd7e3f1 update commands.py and CONTRIBUTING.md to reflect the fact that JS build arti...
  • 9a753fe update changelog
  • 4ff6656 update built JS artifacts
  • b3facc7 update plotly.js to v3.7.0
  • 5cdb606 Merge pull request #5630 from eugen-goebel/fix-marginal-error-message-spacing
  • 8d47808 Add missing space in unsupported-marginal error message
  • Additional commits viewable in compare view

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 5 updates

Updates the requirements on [torch](https://github.com/pytorch/pytorch), [torchvision](https://github.com/pytorch/vision), [plotly](https://github.com/plotly/plotly.py), [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 `plotly` to 6.9.0
- [Release notes](https://github.com/plotly/plotly.py/releases)
- [Changelog](https://github.com/plotly/plotly.py/blob/main/CHANGELOG.md)
- [Commits](plotly/plotly.py@v6.8.0...v6.9.0)

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: plotly
  dependency-version: 6.9.0
  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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