Files
DarkRoom/tools
dtourolle 0e6ac09fd5 Quantise for the Hexagon with QNN's config and the app's own inputs
tools/quantise-models.sh now writes each model's Hexagon form from a
per-model table: the form its role takes on the NPU (int8, A16W8 or
A16W16), the exact graph rewrites it needs, and the nodes that must stay
float. Ranges are min/max over photographs fed exactly as the app feeds
each model -- the detector and segmenter letterboxes with their own pads
and normalisation, landmark crops from the detector's boxes, MI-GAN with a
panorama-like border, XFeat's grey proxy. The old tool used an
antialiased resize, YOLO's pad of 128 and /255 for every model that was
not a face model, none of which is what the app does.

tools/htp_graph.py holds the rewrites, each checked against the input
graph before use: the denoiser's 6-D Bayer pack and XFeat's 224-slice
unfold as SpaceToDepth (QNN stops at rank 5), computed reshape targets
folded, and bilinear Resize as two MatMuls (the HTP refuses
ResizeBilinear at XFeat's sizes). The denoiser takes ranges computed by
darkroom-denoise's gate on a smaller tile of the same network.
2026-10-04 03:45:07 -04:00
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