2b1a3c1312
Byte-parity with pyannote-PyTorch reference (cosine 0.763718 identical at 6 decimals on 200 cross-window slot pairs). 2.5x faster than pyannote-MPS on Apple Silicon native. Extracted from gitea.tavportal.com/olivier/MLX_CONVERTOR commit 5f9eafa.
10 lines
282 B
Python
10 lines
282 B
Python
import mlx.core as mx
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from pyannote_diarization_3_1_mlx.segmentation import SegmentationModel
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def test_segmentation_full_shape():
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m = SegmentationModel()
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x = mx.zeros((1, 1, 160000)) # 10s @ 16k mono
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out = m(x)
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assert out.shape == (1, 589, 7), f"got {out.shape}"
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