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

Found 1 CUDA devices, using device #0: Tesla P100-PCIE-12GB
Total GPU RAM:     12,790,923,264
Free GPU RAM:      12,514,623,488
Needed GPU RAM:       100,605,376 ✓
Reweighted 112 sequences with threshold 0.8 to Beff=89.0679 weight mean=0.795249, min=0.125, max=1

Will optimize 4066176 32-bit variables

iter	eval	f(x)    	║x║     	║g║     	step
1   	1   	12841.4 	10672.3 	3996232.8	0.00037
2   	1   	11726.4 	10679.4 	2287828.5	0.000396
3   	1   	10621.9 	10693.9 	1467417.2	0.000554
4   	1   	9538.06 	10721.3 	884828.25	0.000776
5   	1   	8554.14 	10772.6 	507783.75	0.00125
6   	2   	8027.75 	10821   	353839.06	0.00125
7   	1   	7569.66 	10889.4 	196539.08	0.00175
8   	2   	7348.83 	10942.1 	117681.67	0.00193
9   	2   	7238.67 	10973.5 	77420.57	0.00186
10  	2   	7178.92 	10987.1 	51971.496	0.0015
11  	2   	7145.2  	10990.6 	36881.594	0.00103
12  	1   	7112.95 	10990.1 	23556.359	0.00119
13  	1   	7086.38 	10985.8 	13613.014	0.00182
14  	3   	7078.13 	10982.8 	10269.967	0.00107
15  	1   	7070.02 	10979   	7108.0566	0.00118
16  	1   	7062.75 	10974.4 	4816.9805	0.00165

Done with status code 0 - Success!

Final fx = 7058.852539

xnorm = 11.8058
Output can be found in T0958.ccmpred