37 lines
1.3 KiB
Bash
Executable File
37 lines
1.3 KiB
Bash
Executable File
#!/bin/sh
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# Usage: ./generate-coreml-model.sh <model-name>
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if [ $# -eq 0 ]; then
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echo "No model name supplied"
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echo "Usage for Whisper models: ./generate-coreml-model.sh <model-name>"
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echo "Usage for HuggingFace models: ./generate-coreml-model.sh -h5 <model-name> <model-path>"
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exit 1
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elif [ "$1" = "-h5" ] && [ $# != 3 ]; then
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echo "No model name and model path supplied for a HuggingFace model"
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echo "Usage for HuggingFace models: ./generate-coreml-model.sh -h5 <model-name> <model-path>"
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exit 1
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fi
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mname="$1"
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wd=$(dirname "$0")
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cd "$wd/../" || exit
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if [ "$mname" = "-h5" ]; then
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mname="$2"
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mpath="$3"
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echo "$mpath"
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python3 models/convert-h5-to-coreml.py --model-name "$mname" --model-path "$mpath" --encoder-only True
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else
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python3 models/convert-whisper-to-coreml.py --model "$mname" --encoder-only True --optimize-ane True
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fi
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xcrun coremlc compile models/coreml-encoder-"${mname}".mlpackage models/
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rm -rf models/ggml-"${mname}"-encoder.mlmodelc
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mv -v models/coreml-encoder-"${mname}".mlmodelc models/ggml-"${mname}"-encoder.mlmodelc
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# TODO: decoder (sometime in the future maybe)
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#xcrun coremlc compile models/whisper-decoder-${mname}.mlpackage models/
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#rm -rf models/ggml-${mname}-decoder.mlmodelc
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#mv -v models/coreml_decoder_${mname}.mlmodelc models/ggml-${mname}-decoder.mlmodelc
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