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@dependabot dependabot bot commented on behalf of github Dec 8, 2025

Bumps torch from 2.1.2+cu118 to 2.8.0.

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Sourced from torch's releases.

PyTorch 2.8.0 Release Notes

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... (truncated)

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Dec 8, 2025
@dependabot dependabot bot force-pushed the dependabot/pip/torch-2.8.0 branch from 33cf112 to 4791f50 Compare December 8, 2025 14:37
Bumps [torch](https://github.com/pytorch/pytorch) from 2.1.2+cu118 to 2.8.0.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/commits/v2.8.0)

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

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot force-pushed the dependabot/pip/torch-2.8.0 branch from 4791f50 to 13c25f7 Compare December 8, 2025 16:10
@aoirint
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aoirint commented Dec 9, 2025

We need to drop old GPU cards (legacy Compute Capability) compatibility and update CUDA in order to update PyTorch.

PyTorch v2.8.0 requires Compute Capability 7.0 sm_70 and CUDA v12.6 as minimum.

ONNX Runtime 1.17.x is required for CUDA 12.x as minimum, so we might not have to update ONNX Runtime (current: v1.17.1).

Product Compute Capability
GeForce RTX 5090 12.0
GeForce RTX 4090 8.9
GeForce RTX 3090 Ti 8.6
GeForce RTX 2080 Ti 7.5
GeForce GTX 1080 Ti 6.1
GeForce GTX 980 Ti 5.2
GeForce GTX 750 Ti 5.0

@aoirint
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aoirint commented Dec 25, 2025

We have tried PyTorch v2.7.0 to estimate codebase compatibility for PyTorch v2.8.0.

However, some performance degredation was found for GTX 1080 Ti, the upgrade have been suspended currently.

We may directly upgrade to Compute Capability 7.0 without intermediate upgrade.

We need modern GPU device to test, but unaffordable for the recent price escalation ;(

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