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fix: raise on quantize() of an already-quantized model
Continuous Integration
#78:
Pull request
#18
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2m 45s
bact:fix/quantize-twice
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fix: keep manual bucket when autotuning from Python
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#77:
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fix: fully initialize input matrix for any thread count
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#76:
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#14
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fix: reset nearest-neighbor cache when model changes
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#75:
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fix: restore SIGINT handler after autotune
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fix: raise on quantize() of an already-quantized model
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fix: join autotune timer thread when training raises
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fix: raise on vector index/size errors instead of out-of-bounds access
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fix: keep manual bucket when autotuning from Python
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fix: fully initialize input matrix for any thread count
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fix: reject bucket=0 when training with subwords/n-grams (#16)
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fix: use np.asarray in meter curves for NumPy 2 (#22)
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fix: raise ValueError in get_subword_id when bucket == 0 (#15)
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fix: keep manual bucket when autotuning from Python
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#65:
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fix: use np.asarray in meter curves for NumPy 2
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fix: use np.asarray in meter curves for NumPy 2
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fix: restore SIGINT handler after autotune
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fix: join autotune timer thread when training raises
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fix: raise on vector index/size errors instead of out-of-bounds access
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fix: raise on quantize() of an already-quantized model
Continuous Integration
#59:
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2m 26s
bact:fix/quantize-twice
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