"""Verify the gate_up-split adapter for ysharma/orbit-alpha-lora. 1. Load orbit_alpha_lora_gate_up_split.safetensors into QwenImage21Pipeline via load_lora_weights and CAPTURE all warnings/logs during the load. PASS requires: no warning mentioning gate_up / gate_layer / proj / dropped keys. 2. Run the fixed 48-edit selection subset (first 12 eval objects x 4) at 20 steps. Compare against the ckpt2000 selection numbers (alpha_iou 0.836, lpips 0.087) measured with the ORIGINAL ComfyUI-keyed file, whose gate_up keys were dropped at load. The split adapter should be equal or better; a large drop would mean the fused-order assumption (rows [0:12288]=gate_layer, rest=proj) is wrong. """ import argparse, io, json, logging, os, warnings import eval_edit as ee import select_ckpt as sc ee.STEPS = 20 # same subset budget as the selection run, for apples-to-apples numbers MODEL_REPO = 'ysharma/orbit-alpha-lora' SPLIT_FILE = 'checkpoints/steps2000res768/orbit_alpha_lora_gate_up_split.safetensors' DS_REPO = ee.DS_REPO OUT_REPO_PATH = 'eval/gate_up_split' REFERENCE = {'name': 'ckpt2000-selection-run', 'alpha_iou': 0.836, 'lpips': 0.087} def capture_load(pipe, path): """Load adapter while recording every warning and diffusers/peft log line.""" buf = [] class Rec(logging.Handler): def emit(self, record): buf.append(record.getMessage()) h = Rec() logging.getLogger().addHandler(h) for n in ('diffusers', 'peft', 'diffusers.loaders', 'diffusers.models', 'root'): lg = logging.getLogger(n) old = lg.level lg.setLevel(logging.DEBUG) lg.addHandler(h) setattr(h, '_saved_' + n.replace('.', '_'), (lg, old)) with warnings.catch_warnings(record=True) as wlist: warnings.simplefilter('always') pipe.load_lora_weights(path) msgs = list(buf) + [str(w.message) for w in wlist] for n in ('diffusers', 'peft', 'diffusers.loaders', 'diffusers.models', 'root'): lg = logging.getLogger(n) lg.removeHandler(h) logging.getLogger().removeHandler(h) return msgs def main(): ap = argparse.ArgumentParser() ap.add_argument('--out', required=True) args = ap.parse_args() os.makedirs(args.out, exist_ok=True) pairs = sc.pick_subset([json.loads(l) for l in open(ee.get_file('pairs_eval.jsonl'))]) print(f'subset: {len(pairs)} edits', flush=True) pipe = ee.load_pipe() m = ee.make_metrics() local = ee.hf_hub_download(repo_id=MODEL_REPO, repo_type='model', filename=SPLIT_FILE) msgs = capture_load(pipe, local) print('LOAD MESSAGES:', json.dumps(msgs), flush=True) bad = [x for x in msgs if any(t in x.lower() for t in ('gate_up', 'not found', 'skipped', 'dropped', 'unexpected key', 'no module'))] load_clean = not bad print(f'LOAD CLEAN: {load_clean}', flush=True) if not load_clean: for b in bad: print(' SUSPECT:', b, flush=True) rows = ee.run_pairs(pipe, m, pairs, 'instruction', os.path.join(args.out, 'split48')) r = sc.agg_rows(rows, 'split-adapter-48edits') r['load_clean'] = load_clean r['load_warnings'] = bad r['reference_ckpt2000'] = REFERENCE verdict = load_clean and r['alpha_iou'] >= REFERENCE['alpha_iou'] - 0.02 \ and r['lpips'] <= REFERENCE['lpips'] + 0.01 r['verdict'] = 'PASS' if verdict else 'FAIL' print('VERDICT:', r['verdict'], flush=True) with open(os.path.join(args.out, 'summary.json'), 'w') as f: json.dump(r, f, indent=2) sc.upload(os.path.join(args.out, 'summary.json'), f'{OUT_REPO_PATH}/summary.json') sc.upload(os.path.join(args.out, 'split48', 'results.jsonl'), f'{OUT_REPO_PATH}/split48_results.jsonl') print('DONE', flush=True) if __name__ == '__main__': main()