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h5py==3.10.0 | ||
keras==2.13.1 | ||
numpy==1.23.5 | ||
onnx==1.15.0 | ||
protobuf==3.20.3 | ||
tensorflow==2.13.1 | ||
tf2onnx==1.16.0 | ||
wrapt==1.14.1 |
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#!/usr/bin/env bash | ||
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set -e | ||
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# tensorflow model may be obtained like this: git restore -s be06d6059f0def4f0fdb50444c08db4ce542173e -- ml_model.h5 | ||
# use virtual environment and the requirements.txt - there are very specific luke combination of packages verions | ||
# python -m venv .venv | ||
# . .venv/bin/activate | ||
# python -m pip install --upgrade pip | ||
# python -m pip install --requirement requirements.txt | ||
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# [optional] thransform model form h5 to saved directory | ||
python -c 'import tensorflow as tf;model=tf.keras.models.load_model("ml_model.h5");model.save("ml_model")' | ||
# transform the model | ||
python -m tf2onnx.convert --saved-model ml_model --output ml_model.onnx --verbose --rename-inputs feature_input,line_input | ||
# md5sum for integrity | ||
md5sum --binary ml_model.onnx |