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Remove mlx upper version pin #4

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Remove mlx upper version pin #4

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10 changes: 1 addition & 9 deletions pyproject.toml
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Expand Up @@ -28,15 +28,7 @@ classifiers = [
]
requires-python = ">=3.10"
dependencies = [
# Upper bound on mlx: yolo26x-seg training reproducibly hangs on
# mlx 0.31.x (kIOGPUCommandBufferCallbackError) within 2–5 epochs
# despite the per-epoch ``mx.clear_cache()`` Metal-heap-fragmentation
# fix in ``yolo26mlx.engine.trainer``. Smaller seg models (n/s/m/l)
# and all detection workloads are unaffected, and the documented
# 81.5 s/epoch x-seg baseline was measured under mlx 0.30.x — so the
# supported floor is the same and the cap excludes only the broken
# 0.31.x line.
"mlx>=0.30.3,<0.31",
"mlx>=0.30.3",
"numpy>=2.0.0",
"pillow>=10.0.0",
"pyyaml>=6.0",
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