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

Found 1 CUDA devices, using device #0: Tesla K40m
Total GPU RAM:     11,996,954,624
Free GPU RAM:      11,918,049,280
Needed GPU RAM:       302,412,424 ✓
Reweighted 582 sequences with threshold 0.8 to Beff=175.121 weight mean=0.300896, min=0.00990099, max=1

Will optimize 11864416 32-bit variables

iter	eval	f(x)    	║x║     	║g║     	step
1   	1   	51955.2 	34420.1 	52070104	0.000105
2   	1   	48016.3 	34422.8 	27908586	0.000106
3   	1   	44176.6 	34431.9 	17988880	0.00016
4   	1   	40276.9 	34453.7 	13342712	0.000228
5   	1   	36417.2 	34495.2 	8785169 	0.000286
6   	1   	32819.6 	34570.1 	5469930.5	0.000425
7   	1   	29705.9 	34714   	3761688 	0.00075
8   	2   	28154.6 	34853.2 	2332225.5	0.000727
9   	2   	27333.6 	34945.4 	1533396 	0.000666
10  	2   	26863.7 	34988.7 	1123152.2	0.000493
11  	1   	26405.1 	35018.5 	787952.38	0.00056
12  	1   	25991.4 	35037.9 	561701.19	0.000756
13  	2   	25773.3 	35041.6 	413590.75	0.000607
14  	2   	25652.6 	35038   	304213.81	0.000404
15  	1   	25537.7 	35029   	204253.62	0.000473
16  	1   	25440.4 	35012.7 	144870.22	0.000702
17  	2   	25393.9 	34997   	110900.59	0.000652
18  	2   	25369.3 	34984.7 	83738.453	0.000506
19  	2   	25354.4 	34977.1 	67682.773	0.000328

Done with status code 0 - Success!

Final fx = 25339.109375

xnorm = 17.7855
Output can be found in T0957s2.ccmpred