torch-workflow-archiver
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference
Installation
In a virtualenv (see these instructions if you need to create one):
pip3 install torch-workflow-archiver
Releases
| Version | Released | Bullseye Python 3.9 |
Bookworm Python 3.11 |
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| 0.2.15 | 2024-09-30 | |||
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| 0.2.14 | 2024-07-18 | |||
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| 0.2.13 | 2024-05-16 | |||
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| 0.2.12 | 2024-03-14 | |||
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| 0.2.11 | 2023-10-12 | |||
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| 0.2.10 | 2023-08-28 | |||
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| 0.2.9 | 2023-06-14 | |||
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| 0.2.8 | 2023-05-11 | |||
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| 0.2.7 | 2023-02-08 | |||
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| 0.2.6 | 2022-12-12 | |||
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| 0.2.5 | 2022-11-14 | |||
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| 0.2.4 | 2022-05-13 | |||
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| 0.2.3 | 2022-03-01 | |||
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| 0.2.2 | 2021-12-29 | |||
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| 0.2.1 | 2021-12-16 | |||
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| 0.2.0 | 2021-11-19 | |||
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| 0.1.2 | 2021-08-02 | |||
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| 0.1.1 | 2021-07-22 | |||
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| 0.1.0 | 2021-05-20 | |||
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