import os, sys, time, json
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from hycache import harness as H
H.enter_repo()
import torch
from hycache.measure import make_ctrl
pipe = H.load_pipeline(); case = H.load_cases()[0]
for name, kw in [("none", {}), ("motioncache", {"thresh": 0.05}), ("taylorseer", {"interval": 3.0}), ("flowcache", {"thresh": 0.05})]:
    ctrl = make_ctrl(pipe, name, **kw)
    torch.cuda.empty_cache(); torch.cuda.reset_peak_memory_stats()
    _, _, t = H.generate(pipe, case, H.ACTIONS[0], controller=ctrl, num_frames=125, decode=False)
    print(f"{name:12s} {kw} denoise={t['denoise_dit_ms']:.0f}ms context={t['context_kv_dit_ms']:.0f}ms peak={t['peak_mem_gib']:.1f}GiB "
          f"reserved={torch.cuda.max_memory_reserved()/1024**3:.1f}GiB compute={ctrl.summary()['compute_equivalent_forwards']:.2f}/32 wall={t['wall_s']:.0f}s", flush=True)