test_time_linearizer.py 953 B

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  1. from extra.optimization.helpers import load_worlds, ast_str_to_lin
  2. from tinygrad.engine.search import bufs_from_lin, time_linearizer, get_kernel_actions
  3. if __name__ == "__main__":
  4. ast_strs = load_worlds()
  5. for i, ast_str in enumerate(ast_strs):
  6. lin = ast_str_to_lin(ast_str)
  7. rawbufs = bufs_from_lin(lin)
  8. test_tm = time_linearizer(lin, rawbufs)
  9. if test_tm < 1e-2: continue
  10. print(f"EXAMPLE {i}")
  11. acted_lins = get_kernel_actions(lin)
  12. ok_avg, short_avg = 0, 0
  13. for k,v in acted_lins.items():
  14. tm1 = time_linearizer(v, rawbufs)
  15. tm2 = time_linearizer(v, rawbufs)
  16. tm3 = time_linearizer(v, rawbufs, False)
  17. print(v.colored_shape(50), f"{tm1*1e3:10.2f} {tm2*1e3:10.2f} {tm3*1e3:10.2f} : {((tm1-tm2)/tm1)*100:5.2f}% vs {((tm1-tm3)/tm1)*100:5.2f}%")
  18. ok_avg += (tm1-tm2)/tm1
  19. short_avg += (tm1-tm3)/tm1
  20. print(f"{ok_avg/len(acted_lins)*100:5.2f}% vs {short_avg/len(acted_lins)*100:5.2f}%")