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

Found 1 CUDA devices, using device #0: Quadro P6000
Total GPU RAM:     25,637,224,448
Free GPU RAM:       6,413,680,640
Needed GPU RAM:     1,766,129,842 ✓
Reweighted 43 sequences with threshold 0.8 to Beff=32.1667 weight mean=0.748062, min=0.25, max=1

Will optimize 72343125 32-bit variables

iter	eval	f(x)    	║x║     	║g║     	step
1   	1   	20757.7 	17382.1 	15016362	0.000212
2   	1   	18672.1 	17389.3 	9969989 	0.000175
3   	1   	16630.6 	17402   	6603936 	0.000199
4   	1   	14679.9 	17423.6 	3855787 	0.000261
5   	1   	13007.5 	17462.6 	1492082 	0.00044
6   	3   	12544.5 	17482.1 	828866.94	0.000366
7   	1   	12179.9 	17508.3 	399048  	0.000642
8   	3   	12075.2 	17520   	267111.03	0.000491
9   	2   	12017.7 	17525.5 	162150.66	0.000341
10  	1   	11968.1 	17530   	74924.109	0.000481
11  	2   	11944.9 	17531.8 	46661.883	0.000605
12  	2   	11933.2 	17532.5 	29654.863	0.000573
13  	2   	11926.8 	17533   	18481.488	0.000475

Done with status code 0 - Success!

Final fx = 11923.068359

xnorm = 7.65584
Output can be found in T0987.ccmpred