cmoyates
0481955cfd
feat(phase5): full model assembly + e2e parity
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Wire GreenFormer (backbone + decoders + refiner), add image I/O,
inference pipeline, CLI entry point, and 3 test files (23 new tests).
E2e parity vs PyTorch: max abs err < 1.5e-4 across all outputs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-01 06:07:43 -03:30
Cristopher Yates
150c974eed
feat(phase3): PyTorch→MLX weight converter ( #1 )
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* feat(phase3): PyTorch→MLX weight converter + safetensors output
365 keys mapped (367 source - 2 num_batches_tracked skipped).
Conv weights transposed (O,I,H,W→O,H,W,I), refiner stem remapped,
4ch patch embed preserved. 12 conversion tests + diagnostic report.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(phase3): conv allowlist, unused var, test fixture
- Replace _is_conv_weight heuristic with explicit CONV_WEIGHT_KEYS frozenset (15 keys)
- Remove unused `skipped` list from convert_state_dict
- Module-scoped pytest fixture eliminates 11 redundant checkpoint loads
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-01 05:16:56 -03:30
