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zeekay
bde2e2531b
Machine Learning with FHE - fork of Zama Concrete-ML - Built-in FHE-friendly ML models - scikit-learn compatible API - PyTorch model conversion - Quantization-aware training
19 lines
404 B
Bash
Executable File
19 lines
404 B
Bash
Executable File
#!/usr/bin/env bash
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set -e
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APIDOCS_OUTPUT="$1"
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# Clean
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rm -rf "$APIDOCS_OUTPUT"
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# Ignore concrete.ml.quantization.qat_quantizers since
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# brevitas has some issues with lazydocs
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poetry run lazydocs --output-path="$APIDOCS_OUTPUT" \
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--overview-file="README.md" \
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--src-base-url="../../../" \
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--no-watermark \
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--ignored-modules concrete.ml.quantization.qat_quantizers \
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concrete.ml
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