Bump timm from 1.0.17 to 1.0.18 in /requirements #1201
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Bumps [timm](https://github.com/huggingface/pytorch-image-models) from 1.0.17 to 1.0.18. - [Release notes](https://github.com/huggingface/pytorch-image-models/releases) - [Commits](huggingface/pytorch-image-models@v1.0.17...v1.0.18) --- updated-dependencies: - dependency-name: timm dependency-version: 1.0.18 dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <[email protected]>
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we should get timm 1.0.19 overnight with the fix |
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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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Bumps timm from 1.0.17 to 1.0.18.
Release notes
Sourced from timm's releases.
Commits
e6ab6bcRelease 1.0.18280a90cSupport set_input_size() in EVA models (#2554)19f2bfbUpdate README.md4a67e13Add 8 new Meta Perception Encoder (PE) weight/variants via EVA. Test NaFlexVi...c603c31Fix attn pool specific num_heads / mlp_ratio being passed for PE models in Na...6fb3536Fix PE ViT norm layers in NaFlexVit. Still need a PE Giant fix...68790f9Fix model patch sizes != 16 in validate.py for naflex_loader use6b0842eCleanup eva kwarg handling for naflexvit adaptation, remove debug print9625dc2Shorten comment lines for apply_keep_indices6063f82Add ROPE support to NaFlexVit (axial and mixed), and support loading of most ...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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