build(deps): update lightning-habana requirement from <1.3.0,>=1.2.0 to >=1.2.0,<1.6.0 in /requirements #20761
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Updates the requirements on [lightning-habana](https://github.com/Lightning-AI/lightning-habana) to permit the latest version. - [Release notes](https://github.com/Lightning-AI/lightning-habana/releases) - [Changelog](https://github.com/Lightning-AI/lightning-Habana/blob/main/CHANGELOG.md) - [Commits](Lightning-AI/lightning-Habana@1.2.0...1.5.0) --- updated-dependencies: - dependency-name: lightning-habana dependency-version: 1.5.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]>
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OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting If you change your mind, just re-open this PR and I'll resolve any conflicts on it. |
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Updates the requirements on lightning-habana to permit the latest version.
Release notes
Sourced from lightning-habana's releases.
Changelog
Sourced from lightning-habana's changelog.
... (truncated)
Commits
7f4e930Updated lightning version requirement for FSDP (#182)34b57fdbuild(deps): bump JamesIves/github-pages-deploy-action (#178)9fa3d12build(deps): bump pytorch-lightning from 2.2.1 to 2.2.3 (#179)d625a73build(deps): bump mypy from 1.9.0 to 1.10.0 (#180)50293a3Prepare for LH 1.5.0 (#177)5916b0creleasing updatec4bd005Adding experimental FSDP support on HPU (#174)6ebdafaAdd fp8 training and inference support to deepspeed (#176)4d69418Enable fp8 inference support (#162)6d4d6fdAdd tests and docs update for LightningCLI with Lightning habana (#173)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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@dependabot rebasewill rebase this PR@dependabot recreatewill recreate this PR, overwriting any edits that have been made to it@dependabot mergewill merge this PR after your CI passes on it@dependabot squash and mergewill squash and merge this PR after your CI passes on it@dependabot cancel mergewill cancel a previously requested merge and block automerging@dependabot reopenwill reopen this PR if it is closed@dependabot closewill close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually@dependabot show <dependency name> ignore conditionswill show all of the ignore conditions of the specified dependency@dependabot ignore this major versionwill close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this minor versionwill close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this dependencywill close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)📚 Documentation preview 📚: https://pytorch-lightning--20761.org.readthedocs.build/en/20761/