[core] move transformers to setup_utils, bump dependency version #3984
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canerturkmen
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module: timeseries
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In Chronos, we would like to depend on Currently, bumping the Looking forward to your comments. |
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@prateekdesai04 we should test this change with torch update |
timeseries/setup.py
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| "optimum[openvino,onnxruntime,nncf]>=1.17,<1.18", # for faster CPU inference in pretrained models | |||
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Do we need neuron suppport to speed up inference on Inf2 architecture?
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Not at the moment, though this will come in v1.2.
@tonyhoo Just pushed the latest Torch + CUDA image, running this PR #3982 |
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Job PR-3984-a4b7229 is done. |
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Converted to draft, pending the PyTorch upgrade. and thanks @zhiqiangdon ! |
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Job PR-3984-a0635c5 is done. |
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@zhiqiangdon for your review of test fails |
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…tch-4 * 'master' of https://github.com/awslabs/autogluon: (46 commits) [core] move transformers to setup_utils, bump dependency version (autogluon#3984) [AutoMM] Fix one lightning upgrade issue (autogluon#3991) [CI][Feature] Create a package version table (autogluon#3972) [v.1.1][Upgrade] PyTorch 2.1 and CUDA 12.1 upgrade (autogluon#3982) [WIP] Code implementation of Conv-LoRA (autogluon#3933) [timeseries] Ensure that all metrics handle missing values in the target (autogluon#3966) [timeseries] Fix path and device bugs (autogluon#3979) [AutoMM]Remove grounding-dino (autogluon#3974) [Docs] Update install modules content (autogluon#3976) Add note on pd.to_datetime (autogluon#3975) [AutoMM] Improve DINO performance (autogluon#3970) Minor correction in differ to pick correct environment (autogluon#3968) Fix windows python 3.11 issue by removing ray (autogluon#3956) [CI][Feature] Package Version Comparator (autogluon#3962) [timeseries] Add support for categorical covariates (autogluon#3874) [timeseries] Add method for plotting forecasts (autogluon#3889) Update conf.py copyright to reflect current year (autogluon#3932) [Timeseries][CI]Refactor CI to skip AutoMM and Tabular tests w.r.t timeseries changes (autogluon#3942) Fix HPO crash in memory check (autogluon#3931) [AutoMM][CI] Capping scikit-learn to avoid HPO test failure (autogluon#3947) ...
…ogluon#3984) Co-authored-by: Zhiqiang Tang <zhiqiang.tang@rutgers.edu>
…ogluon#3984) Co-authored-by: Zhiqiang Tang <zhiqiang.tang@rutgers.edu>
Issue #, if available:
Description of changes:
Chronos implementation (cf #3978) requires
transformers>=4.36. This PR moves transformers and accelerate version ranges to_setup_utils.pyand bumps the version.By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.