How to load customer data in libtorch

Hi everyone, i prepared my data in a txt, and load my data to a vector , but i don’t know how to transfer the vector to tensor , does anyone can help me? or do you have a working example about how to load customer data in libtorch? Thansk very much!
My data is like this

1 689.4757 23269.80488 52317.88778 3.014618183 288.084987 44.1984693
2 1551.320325 21373.7467 45142.28644 24.56772949 177.9067883 120.3533858
3 1539.993224 21373.7467 43408.62695 29.13191777 142.9295824 136.4111031
4 1528.666123 20684.271 42337.51376 17.35518505 92.2126338 121.7842715
5 1517.339023 18615.8439 40610.48653 16.453617 92.84858299 148.6531252
6 1506.011922 16030.31003 38612.93279 18.82023314 109.2242749 171.7062836
7 1494.684821 14134.25185 36722.0288 19.10197316 106.9984527 173.2961566
8 1483.35772 12410.5626 34595.2752 18.42579712 92.3716211 164.5518551
9 1472.03062 11721.0869 33356.81051 17.21431505 77.42681493 146.7452776
10 1460.703519 11031.6112 32546.71939 16.00283297 69.31846265 138.6369253
11 1449.376418 10342.1355 31821.36265 15.35483093 65.97972935 130.528573
12 1438.049317 10514.50443 31819.29811 13.94613085 56.44049137 111.7680717
13 1426.722216 11548.71798 32653.10349 10.84699066 39.90581221 92.2126338
14 1415.395116 9307.92195 30574.35619 13.52352082 53.57871998 114.9478176
15 1404.068015 9135.553025 30232.80911 12.56560476 46.7422661 102.2288337
16 1392.740914 8790.815175 29904.74995 11.86125472 44.039482 100.797948
17 1381.413813 8790.815175 29892.38411 11.01603467 40.54176141 93.48453219
18 1370.086712 9307.92195 31322.66857 9.015680548 48.49112639 78.85770063
19 1358.759612 9307.92195 31388.43546 11.01603467 61.21011036 89.3508624
20 1347.432511 8963.1841 29823.66802 9.607334584 31.32049803 78.69871333
21 1336.10541 12410.5626 34153.4695 3.155488192 6.359491986 25.43796794
22 1324.778309 9480.290875 30508.8149 8.762114533 28.93568854 86.64807831
23 1313.451209 9135.553025 30271.75316 9.184724558 33.22834563 83.15035772
24 1302.124108 8963.1841 30351.26544 9.128376555 38.15695192 73.61111974
25 1290.797007 7928.97055 29124.98256 9.184724558 35.13619322 80.60656092
26 1279.469906 7584.2327 28722.60978 8.959332545 33.38733293 79.65263712
27 1268.142805 7584.2327 28518.63015 8.452200514 28.14075204 75.20099273
28 1256.815705 7584.2327 28441.39867 8.762114533 28.93568854 72.97517054
29 1245.488604 7239.49485 27206.697 8.424026512 15.42176807 73.29314514
30 1234.161503 6825.80943 28778.44985 8.2268085 44.9934058 72.97517054
31 1222.834402 6894.757 27564.72623 8.762114533 27.02784094 72.65719594
32 1211.507301 8618.44625 30445.17942 5.493930334 12.24202207 44.5164439
33 1200.180201 5515.8056 25530.64352 9.269246563 17.17062836 92.84858299
34 1188.8531 5515.8056 26216.10664 9.607334584 34.34125672 76.79086573
35 1177.525999 5343.436675 26128.93031 8.649418526 30.84353613 74.72403083
36 1166.198898 5171.06775 25364.30285 8.170460497 19.07847596 77.26782763
37 1154.871798 5240.01532 25733.47489 7.860546478 23.68910765 61.21011036
38 1143.544697 4826.3299 25957.57523 7.888720479 34.50024402 67.25162775
39 1132.217596 4826.3299 25502.64643 7.691502467 26.55087904 66.93365315
40 1120.890495 4826.3299 25697.55231 7.494284455 28.45872664 65.02580556
41 1109.563394 4826.3299 25497.35103 7.156196435 19.71442516 61.84605956
42 1098.236294 5171.06775 26396.67194 6.367324387 20.50936165 61.21011036
43 1086.909193 4826.3299 26268.7702 6.649064404 20.66834895 54.53264378
44 1075.582092 4481.59205 24608.22169 7.07167443 4.769618989 66.45669125
45 1064.254991 4309.223125 25307.77357 6.930804421 28.29973934 63.59491986
46 1052.92789 4309.223125 25417.84779 6.620890402 23.84809495 58.50732627
47 1041.60079 4136.8542 25075.2677 6.620890402 24.00708225 61.21011036
48 1030.273689 4136.8542 25363.33851 6.339150385 19.23746326 58.03036437
49 1018.946588 5171.06775 28286.08222 4.789580291 12.08303477 31.00252343
50 1007.619487 4481.59205 27064.56072 4.845928295 15.89872996 45.3113804
51 996.2923865 3240.53579 23791.13918 6.90263042 23.05315845 58.82530087
52 984.9652857 2930.271725 23338.64946 8.029590488 32.11543453 72.97517054
53 973.6381849 3102.64065 22517.61299 8.931158543 23.21214575 56.44049137
54 962.3110841 3102.64065 24546.79287 6.029236366 20.03239976 52.94277078
55 950.9839834 2930.271725 24436.37761 5.888366358 22.73518385 52.46580888
56 939.6568826 2930.271725 24321.20169 6.001062365 21.46328545 52.94277078