cmoyates 8be8d003e7 feat: add 2048 smoke test for native-resolution validation ... Script + pytest tests to verify MLX inference works at CorridorKey's training resolution. Uses samples/ by default, synthetic fallback. Reports timing, peak memory, output diagnostics. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>		2026-03-01 07:04:28 -03:30
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bench_mlx.py	feat(phase6): optimization, benchmarking, and tiled inference	2026-03-01 06:24:10 -03:30
compare_reference.py	feat(phase6): optimization, benchmarking, and tiled inference	2026-03-01 06:24:10 -03:30
convert_weights.py	feat(phase3): PyTorch→MLX weight converter (#1)	2026-03-01 05:16:56 -03:30
dump_pytorch_reference.py	feat(phase2): MLX decoder + refiner with parity tests	2026-03-01 05:00:00 -03:30
infer_pytorch.py	add PyTorch reference inference script + gitignore samples/	2026-03-01 06:56:04 -03:30
infer.py	fix: resize inputs to model img_size, use infer_and_save in CLI	2026-03-01 06:11:57 -03:30
smoke_2048.py	feat: add 2048 smoke test for native-resolution validation	2026-03-01 07:04:28 -03:30
smoke_engine.py	feat: add CorridorKeyMLXEngine integration surface	2026-03-01 06:43:07 -03:30