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Add support for python3.9 to python3.14, using tensorflow2.20 and keras 3. Drops support for python3.6 Weights downloaded are not forward-compatible, the weight downloading macro needs to be reran.
nicolasdalsass
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Feb 2, 2026
Gaubiche
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Feb 4, 2026
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We still have a bit of Python3.6 in python-runnables>create-api-service-v2>runnable.json
Also it goes a bit beyond the scope of this PR, but maybe we should make the endpoint default to the plugin code-env, maybe that's not possible because it doesn't seem that such environments selectable though 😢
Tested
- Code-env creation for 3.9, 3.10, 3.11, 3.12 and 3.13
- Download model macro
- Classification model retrain on images
- Image classification
- Images feature extraction
- Tensorboard webapp
- Api Service Macro and ran the test query
CHANGELOG.md
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| ## Version 3.0.0 - Python versions supported update - Breaking change - 2025-02 | ||
| - ⚠️ Drop python3.6 support | ||
| - ⚠️ Base model weights needs redownloading to get weights in keras 3 format. | ||
| - Supports Python3.9, 3.10, 3.11, 3.12, 3.13, 3.14 |
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| - Supports Python3.9, 3.10, 3.11, 3.12, 3.13, 3.14 | |
| - Supports Python3.9, 3.10, 3.11, 3.12, 3.13 |
| "label": "Environment name", | ||
| "type": "CODE_ENV", | ||
| "description":"Must be a PYTHON3 env containing the required packages: scikit-learn==0.23.1, tensorflow==2.2.2, h5py>=2.10.0, Pillow==8.1.1, tables==3.6.1, GPUtil==1.4.0", | ||
| "description":"Must be a Python 3.9+ env containing the required packages: scikit-learn, tensorflow, h5py, Pillow, tables, GPUtil", |
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| "description":"Must be a Python 3.9+ env containing the required packages: scikit-learn, tensorflow, h5py, Pillow, tables, GPUtil", | |
| "description":"Must be a Python 3.9-3.13 env containing the required packages: scikit-learn, tensorflow, h5py, Pillow, tables, GPUtil", |
Gaubiche
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Feb 6, 2026
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LGTM ✅
Tested the creation of code-env from the api creation macro
nicolasdalsass
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chore/dss14-sc-290352-upgrade-the-deep-learning-image-plugin
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Add support for python3.9 to python3.14, using tensorflow2.20 and keras 3.
Drops support for python3.6
Weights downloaded are not forward-compatible, the weight downloading macro needs to be reran.