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Bump the pip group across 1 directory with 3 updates#202

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Bump the pip group across 1 directory with 3 updates#202
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@dependabot dependabot bot commented on behalf of github Apr 29, 2025

Bumps the pip group with 3 updates in the /python/src/main/python/streaming-llm directory: jinja2, torch and transformers.

Updates jinja2 from 3.1.4 to 3.1.6

Release notes

Sourced from jinja2's releases.

3.1.6

This is the Jinja 3.1.6 security release, which fixes security issues but does not otherwise change behavior and should not result in breaking changes compared to the latest feature release.

PyPI: https://pypi.org/project/Jinja2/3.1.6/ Changes: https://jinja.palletsprojects.com/en/stable/changes/#version-3-1-6

  • The |attr filter does not bypass the environment's attribute lookup, allowing the sandbox to apply its checks. GHSA-cpwx-vrp4-4pq7

3.1.5

This is the Jinja 3.1.5 security fix release, which fixes security issues and bugs but does not otherwise change behavior and should not result in breaking changes compared to the latest feature release.

PyPI: https://pypi.org/project/Jinja2/3.1.5/ Changes: https://jinja.palletsprojects.com/changes/#version-3-1-5 Milestone: https://github.com/pallets/jinja/milestone/16?closed=1

  • The sandboxed environment handles indirect calls to str.format, such as by passing a stored reference to a filter that calls its argument. GHSA-q2x7-8rv6-6q7h
  • Escape template name before formatting it into error messages, to avoid issues with names that contain f-string syntax. #1792, GHSA-gmj6-6f8f-6699
  • Sandbox does not allow clear and pop on known mutable sequence types. #2032
  • Calling sync render for an async template uses asyncio.run. #1952
  • Avoid unclosed auto_aiter warnings. #1960
  • Return an aclose-able AsyncGenerator from Template.generate_async. #1960
  • Avoid leaving root_render_func() unclosed in Template.generate_async. #1960
  • Avoid leaving async generators unclosed in blocks, includes and extends. #1960
  • The runtime uses the correct concat function for the current environment when calling block references. #1701
  • Make |unique async-aware, allowing it to be used after another async-aware filter. #1781
  • |int filter handles OverflowError from scientific notation. #1921
  • Make compiling deterministic for tuple unpacking in a {% set ... %} call. #2021
  • Fix dunder protocol (copy/pickle/etc) interaction with Undefined objects. #2025
  • Fix copy/pickle support for the internal missing object. #2027
  • Environment.overlay(enable_async) is applied correctly. #2061
  • The error message from FileSystemLoader includes the paths that were searched. #1661
  • PackageLoader shows a clearer error message when the package does not contain the templates directory. #1705
  • Improve annotations for methods returning copies. #1880
  • urlize does not add mailto: to values like @a@b. #1870
  • Tests decorated with @pass_context can be used with the |select filter. #1624
  • Using set for multiple assignment (a, b = 1, 2) does not fail when the target is a namespace attribute. #1413
  • Using set in all branches of {% if %}{% elif %}{% else %} blocks does not cause the variable to be considered initially undefined. #1253
Changelog

Sourced from jinja2's changelog.

Version 3.1.6

Released 2025-03-05

  • The |attr filter does not bypass the environment's attribute lookup, allowing the sandbox to apply its checks. :ghsa:cpwx-vrp4-4pq7

Version 3.1.5

Released 2024-12-21

  • The sandboxed environment handles indirect calls to str.format, such as by passing a stored reference to a filter that calls its argument. :ghsa:q2x7-8rv6-6q7h
  • Escape template name before formatting it into error messages, to avoid issues with names that contain f-string syntax. :issue:1792, :ghsa:gmj6-6f8f-6699
  • Sandbox does not allow clear and pop on known mutable sequence types. :issue:2032
  • Calling sync render for an async template uses asyncio.run. :pr:1952
  • Avoid unclosed auto_aiter warnings. :pr:1960
  • Return an aclose-able AsyncGenerator from Template.generate_async. :pr:1960
  • Avoid leaving root_render_func() unclosed in Template.generate_async. :pr:1960
  • Avoid leaving async generators unclosed in blocks, includes and extends. :pr:1960
  • The runtime uses the correct concat function for the current environment when calling block references. :issue:1701
  • Make |unique async-aware, allowing it to be used after another async-aware filter. :issue:1781
  • |int filter handles OverflowError from scientific notation. :issue:1921
  • Make compiling deterministic for tuple unpacking in a {% set ... %} call. :issue:2021
  • Fix dunder protocol (copy/pickle/etc) interaction with Undefined objects. :issue:2025
  • Fix copy/pickle support for the internal missing object. :issue:2027
  • Environment.overlay(enable_async) is applied correctly. :pr:2061
  • The error message from FileSystemLoader includes the paths that were searched. :issue:1661
  • PackageLoader shows a clearer error message when the package does not contain the templates directory. :issue:1705
  • Improve annotations for methods returning copies. :pr:1880
  • urlize does not add mailto: to values like @a@b. :pr:1870

... (truncated)

Commits

Updates torch from 2.2.2 to 2.7.0

Release notes

Sourced from torch's releases.

PyTorch 2.7.0 Release Notes

Highlights

... (truncated)

Commits
  • 1341794 Gracefully handle optree less than minimum version, part 2 (#151323)
  • 0739127 Gracefully handle optree less than minimum version (#150977)
  • 0c236f3 Update triton wheel build, setuptools pin (#150953)
  • c7ff78d Fix inplacing with multiple, fused uses (#150892)
  • 894909a Revert "[CUDA] Only use vec128 if CUDA version is newer than 12.8" (#150855)
  • ef2b139 [Manylinux 2.28] Correct Linux aarch64 cuda binaries wheel name (#150820)
  • 3f236f1 [CUDA] Only use vec128 if CUDA version is newer than 12.8 (#150818)
  • 35f1e76 Reland of "[ROCm] change preferred blas lib defaults (#150249)"" (#150707)
  • a6321d6 Revert "Dont exclude constant_pad_nd in prologue fusion" (#150699)
  • 1cc51c6 [CUDA][avgpool2d] Fix backward launch bounds again for sm100, sm120 (#150...
  • Additional commits viewable in compare view

Updates transformers from 4.44.2 to 4.50.0

Release notes

Sourced from transformers's releases.

Release v4.50.0

New Model Additions

Model-based releases

Starting with version v4.49.0, we have been doing model-based releases, additionally to our traditional, software-based monthly releases. These model-based releases provide a tag from which models may be installed.

Contrarily to our software-releases; these are not pushed to pypi and are kept on our GitHub. Each release has a tag attributed to it, such as:

  • v4.49.0-Gemma-3
  • v4.49.0-AyaVision

⚠️ As bugs are identified and fixed on each model, the release tags are updated so that installing from that tag always gives the best experience possible with that model.

Each new model release will always be based on the current state of the main branch at the time of its creation. This ensures that new models start with the latest features and fixes available.

For example, if two models—Gemma-3 and AyaVision—are released from main, and then a fix for gemma3 is merged, it will look something like this:

              o---- v4.49.0-Gemma-3 (includes AyaVision, plus main fixes)
            /                  \  
---o--o--o--o--o-- (fix for gemma3) --o--o--o main
       \          
        o---- v4.49.0-AyaVision

We strive to merge model specific fixes on their respective branches as fast as possible!

Gemma 3

image

Gemma 3 is heavily referenced in the following model-based release and we recommend reading these if you want all the information relative to that model.

The Gemma 3 model was proposed by Google. It is a vision-language model composed by a SigLIP vision encoder and a Gemma 2 language decoder linked by a multimodal linear projection.

It cuts an image into a fixed number of tokens same way as Siglip if the image does not exceed certain aspect ratio. For images that exceed the given aspect ratio, it crops the image into multiple smaller pacthes and concatenates them with the base image embedding.

One particularity is that the model uses bidirectional attention on all the image tokens. Also, the model interleaves sliding window local attention with full causal attention in the language backbone, where each sixth layer is a full causal attention layer.

Shield Gemma2

ShieldGemma 2 is built on Gemma 3, is a 4 billion (4B) parameter model that checks the safety of both synthetic and natural images against key categories to help you build robust datasets and models. With this addition to the Gemma family of models, researchers and developers can now easily minimize the risk of harmful content in their models across key areas of harm as defined below:

  • No Sexually Explicit content: The image shall not contain content that depicts explicit or graphic sexual acts (e.g., pornography, erotic nudity, depictions of rape or sexual assault).
  • No Dangerous Content: The image shall not contain content that facilitates or encourages activities that could cause real-world harm (e.g., building firearms and explosive devices, promotion of terrorism, instructions for suicide).
  • No Violence/Gore content: The image shall not contain content that depicts shocking, sensational, or gratuitous violence (e.g., excessive blood and gore, gratuitous violence against animals, extreme injury or moment of death).

We recommend using ShieldGemma 2 as an input filter to vision language models, or as an output filter of image generation systems. To train a robust image safety model, we curated training datasets of natural and synthetic images and instruction-tuned Gemma 3 to demonstrate strong performance.

... (truncated)

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Bumps the pip group with 3 updates in the /python/src/main/python/streaming-llm directory: [jinja2](https://github.com/pallets/jinja), [torch](https://github.com/pytorch/pytorch) and [transformers](https://github.com/huggingface/transformers).


Updates `jinja2` from 3.1.4 to 3.1.6
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](pallets/jinja@3.1.4...3.1.6)

Updates `torch` from 2.2.2 to 2.7.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.2.2...v2.7.0)

Updates `transformers` from 4.44.2 to 4.50.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.44.2...v4.50.0)

---
updated-dependencies:
- dependency-name: jinja2
  dependency-version: 3.1.6
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.7.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 4.50.0
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Apr 29, 2025
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