_____ _____ _____ _ | | | |___ ___ ___ _| | | --| --| | | | . | _| -_| . | |_____|_____|_|_|_| _|_| |___|___| |_| 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: 123,417,848 ✓ Reweighted 4942 sequences with threshold 0.8 to Beff=2794.8 weight mean=0.565521, min=0.0126582, max=1 Will optimize 2824000 32-bit variables iter eval f(x) ║x║ ║g║ step 1 1 325307 27524.3 3.6211939e+08 4.44e-05 2 1 314964 27526.1 2.9524093e+08 3.54e-05 3 1 304646 27531.2 2.1386048e+08 3.09e-05 4 1 294546 27541.5 1.5431438e+08 3.46e-05 5 1 284557 27560.2 1.1712792e+08 4.28e-05 6 1 274732 27591.5 83877752 5.29e-05 7 1 265118 27642.4 64098664 7.24e-05 8 1 255622 27723.3 52664056 9.66e-05 9 1 246313 27847 44042148 0.000122 10 1 237233 28032.5 38006932 0.000154 11 1 228642 28308.7 38633892 0.000194 12 1 221856 28736.4 98962288 0.000221 13 2 218309 29175.7 46195244 7.1e-05 14 3 217232 29310.5 33019472 4.25e-05 15 1 216065 29422.3 35264616 4.86e-05 16 1 214793 29514.3 33291824 3.71e-05 17 1 213505 29587.1 26685756 3.1e-05 18 1 212223 29647.7 23551076 3.25e-05 19 1 210921 29700.8 23554996 3.27e-05 20 1 209599 29747.8 21763776 2.92e-05 21 1 208279 29789.5 18367050 2.82e-05 22 1 206968 29827.4 16512768 3.07e-05 23 1 205652 29862.9 16220600 3.22e-05 24 1 204332 29896.7 15147033 3.11e-05 25 1 203016 29929.3 13609300 3.16e-05 26 1 201707 29961.5 12702234 3.4e-05 27 1 200402 29994.2 11653302 3.56e-05 28 1 199107 30028.2 11286362 3.84e-05 29 1 197812 30064.7 11592542 3.98e-05 30 1 196527 30104.4 9733218 3.89e-05 31 1 195282 30148.9 8939154 4.72e-05 32 1 194051 30202.5 11061210 5.54e-05 33 1 192852 30268.2 9220980 4.86e-05 34 1 191777 30352.9 10432610 6.55e-05 35 1 190877 30486.8 15782113 7.87e-05 36 3 190626 30553.8 13917654 2.33e-05 37 2 190484 30591.8 11773422 1.41e-05 38 1 190341 30626.5 10833382 1.45e-05 Done with status code 0 - Success! Final fx = 190192.484375 xnorm = 40.7057 Output can be found in T1008.ccmpred