mirror of https://github.com/commaai/tinygrad.git
22 lines
963 B
Python
22 lines
963 B
Python
from extra.optimization.helpers import load_worlds, ast_str_to_lin
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from tinygrad.features.search import bufs_from_lin, time_linearizer, get_linearizer_actions
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if __name__ == "__main__":
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ast_strs = load_worlds()
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for i, ast_str in enumerate(ast_strs):
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lin = ast_str_to_lin(ast_str)
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rawbufs = bufs_from_lin(lin)
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test_tm = time_linearizer(lin, rawbufs)
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if test_tm < 1e-2: continue
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print(f"EXAMPLE {i}")
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acted_lins = get_linearizer_actions(lin)
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ok_avg, short_avg = 0, 0
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for k,v in acted_lins.items():
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tm1 = time_linearizer(v, rawbufs)
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tm2 = time_linearizer(v, rawbufs)
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tm3 = time_linearizer(v, rawbufs, False)
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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}%")
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ok_avg += (tm1-tm2)/tm1
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short_avg += (tm1-tm3)/tm1
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print(f"{ok_avg/len(acted_lins)*100:5.2f}% vs {short_avg/len(acted_lins)*100:5.2f}%")
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