chore(deps): Update torch requirement from <2.8,>=2.2.0 to >=2.2.0,<2.9#177
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Updates the requirements on [torch](https://github.com/pytorch/pytorch) to permit the latest version. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md) - [Commits](pytorch/pytorch@v2.2.0...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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Hi, I work for Red Hat; I want to know what is your ETA to support Torch 2.8. Thank you |
thanks for the reminder, we will investigate the failed test in Python 3.10 category. probably will take a week or so. |
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Hey, just wanted to check if there was any movement on this |
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apologies for the delay. I looked into this problem and the test fails because PyTorch 2.8 has now provided the CPU dispatch for the _scaled_mm ATen OP. It was lacking in earlier versions. This created a conflict with our own custom dispatch of this OP for CPU, which we do in the context of FP8 quantization. I need to clarify with the original implementer if the current PyTorch dispatch is equivalent to our custom one. We should be able to resolve this problem shortly. |
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fixed by PR #187
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Updates the requirements on torch to permit the latest version.
Release notes
Sourced from torch's releases.
... (truncated)
Changelog
Sourced from torch's changelog.
... (truncated)
Commits
ba56102Cherrypick: 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)c76b235Move out super large one off foreach_copy test (#158880)20a0e22Revert "[Dynamo] Allow inlining into AO quantization modules (#152934)" (#158...9167ac8[MPS] Switch Cholesky decomp to column wise (#158237)5534685[MPS] Reimplementtri[ul]as Metal shaders (#158867)d19e08dCherry 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)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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