_____ _____ _____               _ 
|     |     |     |___ ___ ___ _| |
|   --|   --| | | | . |  _| -_| . |
|_____|_____|_|_|_|  _|_| |___|___|
                  |_|              

Found 1 CUDA devices, using device #0: GeForce GTX 1080 Ti
Total GPU RAM:     11,721,506,816
Free GPU RAM:      11,566,907,392
Needed GPU RAM:     1,352,575,608 ✓
Reweighted 260 sequences with threshold 0.8 to Beff=199.343 weight mean=0.766703, min=0.142857, max=1

Will optimize 54959629 32-bit variables

iter	eval	f(x)    	║x║     	║g║     	step
1   	1   	144227  	38925.3 	1.5800026e+08	7.5e-05
2   	1   	137780  	38929.5 	1.3847334e+08	4.35e-05
3   	1   	131364  	38936.5 	1.1946021e+08	3.42e-05
4   	1   	124987  	38946.9 	1.0125187e+08	3.1e-05
5   	1   	118653  	38961.5 	84164720	3.08e-05
6   	1   	112373  	38981.6 	68492032	3.27e-05
7   	1   	106159  	39008.9 	54453560	3.68e-05
8   	1   	100029  	39046.1 	42170328	4.4e-05
9   	1   	94015.7 	39097.4 	31676590	5.57e-05
10  	1   	88179.3 	39169.8 	22958992	7.56e-05
11  	1   	82645.6 	39276.2 	16023202	0.000112
12  	1   	77749.1 	39444.9 	11051784	0.000188
13  	2   	75393.3 	39595.8 	8943140 	0.000194
14  	2   	74211.6 	39709.9 	7710878.5	0.000163
15  	2   	73562.8 	39777.8 	6845627 	0.000111
16  	1   	72918.8 	39839.3 	5855260 	0.000117
17  	1   	72302   	39894.9 	4852002 	0.000133
18  	1   	71757.7 	39946.2 	3966343.5	0.00017
19  	2   	71472   	39970.7 	3510047 	0.00013
20  	1   	71210.4 	39985.9 	3089020.8	0.000149
21  	2   	71059.2 	39988.1 	2836978.5	9.65e-05
22  	1   	70899.9 	39983.9 	2562829.2	9.04e-05
23  	1   	70736.3 	39974.6 	2282876.5	8.78e-05
24  	1   	70571.5 	39961.3 	2013327.8	8.91e-05
25  	1   	70408.9 	39944.1 	1767820.2	9.49e-05
26  	1   	70252.3 	39922.8 	1557752.2	0.000106
27  	1   	70109.4 	39896.4 	1397427.2	0.000127
28  	2   	70030.2 	39878.9 	1311193.5	8.44e-05

Done with status code 0 - Success!

Final fx = 69949.484375

xnorm = 21.3186
Output can be found in T0950.ccmpred