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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>
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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 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).
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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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We have prepared RTX 4000 series and 5000 series GPUs for test. GTX 1000 series will be dropped its support. RTX 2000, 3000 series cannot be tested due to lack of test devices. PyTorch will be updated when some further investigations have done, |
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Bumps torch from 2.1.2+cu118 to 2.8.0.
Release notes
Sourced from torch's releases.
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