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@dependabot dependabot bot commented on behalf of github Nov 14, 2025

Bumps torch from 2.5.1 to 2.8.0.

Release notes

Sourced from torch's releases.

PyTorch 2.8.0 Release Notes

Highlights

... (truncated)

Commits
  • ba56102 Cherrypick: Add the RunLLM widget to the website (#159592)
  • c525a02 [dynamo, docs] cherry pick torch.compile programming model docs into 2.8 (#15...
  • a1cb3cc [Release Only] Remove nvshmem from list of preload libraries (#158925)
  • c76b235 Move out super large one off foreach_copy test (#158880)
  • 20a0e22 Revert "[Dynamo] Allow inlining into AO quantization modules (#152934)" (#158...
  • 9167ac8 [MPS] Switch Cholesky decomp to column wise (#158237)
  • 5534685 [MPS] Reimplement tri[ul] as Metal shaders (#158867)
  • d19e08d Cherry pick PR 158746 (#158801)
  • a6c044a [cherry-pick] Unify torch.tensor and torch.ops.aten.scalar_tensor behavior (#...
  • 620ebd0 [Dynamo] Use proper sources for constructing dataclass defaults (#158689)
  • Additional commits viewable in compare view

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Nov 14, 2025
@jazzberry-ai
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jazzberry-ai bot commented Nov 14, 2025

Bug Report

Name Severity Example test case Description
Incorrect Embeddings in colpali_embedding_model.py High Ingest a document and verify that the generated embeddings are correct. The update to torch 2.8.0 may have introduced breaking changes that affect the embedding calculations in colpali_embedding_model.py, leading to incorrect embeddings.
Caching Issues in hf_cache.py Medium Run a query that relies on the HF cache and verify that the cache is correctly populated and retrieved. The update to torch 2.8.0 may have introduced changes in memory management or serialization that cause caching issues in hf_cache.py.
Incorrect Embedding Retrieval/Storage in Multivector Stores High Store and retrieve embeddings from the multivector store and verify that the retrieved embeddings match the original embeddings. The update to torch 2.8.0 may have introduced breaking changes that affect the storage and retrieval of embeddings in the multivector stores, leading to incorrect data.

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Bumps [torch](https://github.com/pytorch/pytorch) from 2.5.1 to 2.8.0.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.5.1...v2.8.0)

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.8.0
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot force-pushed the dependabot/pip/torch-2.8.0 branch from f1bee99 to 26b555a Compare November 26, 2025 23:41
@jazzberry-ai
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jazzberry-ai bot commented Nov 26, 2025

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