d935d30e4c
Currently ONNXRuntime's CoreML support is not very good, and on my environment, I get errors like “coreml_execution_provider.cc:192 operator() Input (/sdp/flows.3/GatherND_2_output_0) has a dynamic shape ({-1,-1}) but the runtime shape ({0,10}) has zero elements. This is not supported by the CoreML EP.” and inference fails.
I hope this will be fixed in a future version of ONNXRuntime, and leave the test code as it is.
47 lines
549 B
Plaintext
47 lines
549 B
Plaintext
__pycache__/
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venv/
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.venv/
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dist/
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.coverage*
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.ipynb_checkpoints/
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.ruff_cache/
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.DS_Store
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._*
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/*.yml
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!/default_config.yml
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/bert/*/*.bin
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/bert/*/*.h5
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/bert/*/*.model
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/bert/*/*.safetensors
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/bert/*/*.msgpack
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/bert/*/*.onnx
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/configs/paths.yml
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/pretrained/*.safetensors
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/pretrained/*.pth
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/pretrained_jp_extra/*.safetensors
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/pretrained_jp_extra/*.pth
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/slm/*/*.bin
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/scripts/test/
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/scripts/lib/
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/scripts/Style-Bert-VITS2/
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/scripts/sbv2/
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*.zip
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*.csv
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*.bak
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/mos_results/
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safetensors.ipynb
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*.wav
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/static/
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# pyopenjtalk's dictionary
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*.dic
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playground.ipynb
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