shahi
/
BA-Chatbot_Ali_Thesis
forked from 1827133/BA-Chatbot
1
0
Fork 0
Code Pull Requests Activity
BA-Chatbot_Ali_Thesis/backend/embeddings/embeddings_and_queries.txt

5514 lines
326 KiB
Plaintext
Executable File
Raw Permalink Blame History

This file contains ambiguous Unicode characters!

This file contains ambiguous Unicode characters that may be confused with others in your current locale. If your use case is intentional and legitimate, you can safely ignore this warning. Use the Escape button to highlight these characters.

Query: - Techniken und Methoden, die im Software-Entwicklungsprojekt benötigt werden; die Inhalte werden bei der
Vorbereitung des Projekts festgelegt
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[ 1.3344e-02, -3.1891e-02, -2.0538e-02, ..., 1.7365e-02,
3.1719e-03, -1.4481e-02],
[-1.7670e-02, 1.6830e-02, 3.0689e-03, ..., 5.4512e-03,
3.4454e-02, 2.6566e-02],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[ 0.0069, -0.0474, 0.0185, ..., 0.0232, 0.0413, 0.0427],
[ 0.0816, 0.1115, 0.1430, ..., -0.0607, 0.0830, 0.1156],
[ 0.0183, -0.0082, 0.0021, ..., 0.0596, -0.0076, -0.0128]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[ 0.0602, 0.0203, 0.0476, ..., 0.0709, 0.0783, 0.0415],
[ 0.1830, 0.1692, 0.1009, ..., -0.0515, -0.0148, 0.0804],
[ 0.0604, 0.0021, -0.0018, ..., 0.0542, -0.0041, -0.0052]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[-0.0397, 0.0169, 0.1789, ..., 0.0644, -0.0329, 0.1536],
[ 0.3166, 0.0471, 0.1151, ..., -0.0808, -0.0256, 0.0191],
[ 0.0373, -0.0289, 0.0226, ..., 0.0090, -0.0557, -0.0161]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[-0.2407, 0.1983, 0.1556, ..., 0.2073, -0.1970, 0.0454],
[ 0.0750, 0.1900, 0.0605, ..., -0.0260, -0.0497, -0.2843],
[ 0.0055, 0.0127, -0.0083, ..., -0.0836, -0.1679, 0.0199]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[-0.3273, 0.1362, 0.1362, ..., 0.3145, -0.3802, 0.1284],
[-0.0397, 0.2875, 0.1660, ..., 0.1444, -0.1528, -0.2161],
[ 0.0332, 0.1080, 0.0324, ..., -0.0941, -0.2196, 0.1084]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[-0.2488, 0.2334, -0.0063, ..., 0.5604, -0.4782, 0.1591],
[ 0.1110, 0.2124, 0.0601, ..., 0.2029, -0.2595, -0.1615],
[ 0.1187, 0.1183, 0.0833, ..., -0.0076, -0.2954, 0.0488]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[-0.2610, -0.0255, -0.0913, ..., 0.5452, -0.5466, 0.3473],
[-0.2042, 0.4231, 0.1344, ..., 0.4989, -0.2612, -0.0187],
[ 0.0449, 0.0876, 0.3704, ..., 0.0883, -0.2708, -0.0775]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[-0.4006, -0.0947, -0.1611, ..., 0.5073, -0.5442, 0.4887],
[-0.1380, 0.5674, 0.0034, ..., 0.7479, -0.3426, -0.1500],
[ 0.0524, 0.1872, 0.3028, ..., -0.0106, -0.2520, 0.0743]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[-4.1465e-01, 2.4621e-02, -6.6401e-03, ..., 4.3440e-01,
-6.7707e-01, 4.2666e-01],
[-7.6348e-02, 5.5552e-01, 2.1516e-01, ..., 4.9354e-01,
-4.4754e-01, -2.8046e-01],
[ 6.9153e-02, -8.2658e-02, 3.1462e-01, ..., 1.5218e-01,
-3.8560e-01, 3.7848e-02]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[-0.3922, 0.0280, -0.2358, ..., 0.4163, -0.8747, 0.2276],
[-0.0279, 0.4694, 0.0340, ..., 0.2409, -0.2828, -0.6227],
[-0.0225, 0.1148, 0.0195, ..., 0.2354, -0.2500, 0.0208]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[-0.4617, 0.1246, -0.2851, ..., 0.4256, -1.0517, 0.2154],
[ 0.0197, 0.3603, -0.0421, ..., 0.2653, -0.6022, -0.4686],
[ 0.0139, -0.0218, -0.1051, ..., 0.5144, -0.1847, 0.0323]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[-0.2974, -0.0147, -0.0945, ..., 0.4220, -1.0275, 0.5405],
[ 0.0864, 0.0296, -0.1722, ..., 0.4326, -0.8750, -0.3819],
[ 0.0966, -0.4393, -0.3462, ..., 0.6157, -0.2707, -0.2134]]])
13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527],
[-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285],
[-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837],
...,
[-0.2119, -0.0020, -0.2063, ..., 0.4648, -1.1749, 0.7726],
[-0.1647, -0.3506, -0.2941, ..., 0.3934, -0.8014, -0.2225],
[ 0.2150, -0.4449, -0.1738, ..., 0.6455, -0.1058, -0.2824]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[ 0.2662, 0.3558, 0.4173, ..., 0.2606, -1.0965, 0.9151],
[ 0.1518, -0.4462, 0.1005, ..., -0.1489, -0.8307, -0.6411],
[ 0.4775, -0.1171, -0.1291, ..., 0.4147, -0.0842, -0.1730]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[ 0.1769, 0.7832, 0.6265, ..., 0.5291, -0.9287, 0.6309],
[ 0.1636, -0.1559, -0.3874, ..., -0.4736, -0.2265, -1.0749],
[ 0.5978, -0.2628, -1.0861, ..., 0.1943, 0.1261, -0.1810]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[ 0.1171, 0.8641, 0.6190, ..., 0.1882, -1.1480, 0.9628],
[-0.0776, -0.2368, -0.7555, ..., -0.6507, -0.4964, -0.3102],
[ 0.8497, -0.6779, -1.2999, ..., 0.5633, -0.1490, 0.3697]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[-0.3071, 1.1338, 0.1763, ..., -0.0021, -0.8948, 0.7020],
[ 0.0527, -0.3037, -0.9342, ..., -0.8846, -0.0652, -0.3108],
[ 1.0284, -0.1242, -0.8037, ..., 0.6987, -0.4724, 0.4918]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[ 0.0681, 0.8117, 0.5805, ..., -0.0528, -0.9058, 0.5053],
[-0.0049, -0.5633, -0.9521, ..., -0.8563, 0.2055, -0.4072],
[ 0.8227, -0.3342, -1.1913, ..., 0.9603, -0.5597, 0.1812]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[-0.2657, 1.2706, 0.8727, ..., -0.0221, -1.1589, 0.5560],
[-0.2300, -0.4623, -1.2880, ..., -0.8934, 0.3851, -0.6455],
[ 0.9547, -0.2643, -1.5496, ..., 1.0177, -0.5803, 0.0225]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[ 0.1391, 0.8728, 1.1317, ..., -0.0228, -1.5161, 1.4338],
[-0.0134, -0.2095, -0.7583, ..., -1.7094, 0.5942, 0.1780],
[ 1.6806, -0.2370, -1.5551, ..., 0.6167, -0.5077, 0.1490]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[ 0.3636, 1.3562, 0.9140, ..., -0.2457, -1.8213, 1.1480],
[-0.2631, -0.3801, -0.9859, ..., -1.8367, 1.1390, -0.1739],
[ 1.8709, -0.2693, -1.4116, ..., 0.7908, -0.7744, 0.0987]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[ 0.0582, 1.8533, 1.1053, ..., -0.6796, -1.9256, 1.5382],
[-0.6789, -0.2645, -0.5712, ..., -2.0945, 1.3588, 0.2196],
[ 1.6458, 0.0501, -0.9480, ..., 0.3314, -1.0105, 1.4925]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[ 0.0449, 2.1695, 0.3033, ..., -1.3733, -1.7934, 1.6283],
[-0.4737, 0.1576, 0.1266, ..., -2.8182, 1.6551, 0.2925],
[ 1.0856, 0.5691, -1.1310, ..., 0.8345, -1.4854, 1.2304]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[ 0.2623, 2.4740, -0.1216, ..., -1.4487, -1.5271, 2.2617],
[-0.0153, 0.3395, 0.3477, ..., -3.3036, 2.1221, 0.1499],
[ 0.6683, 0.1911, -0.9326, ..., 1.0319, -1.7107, 1.5540]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[ 0.1804, 1.8328, 0.2764, ..., -0.6864, -1.6672, 1.9865],
[-0.1213, 0.4279, -0.2065, ..., -3.3918, 2.4159, 0.3501],
[ 1.0494, -0.4176, -1.8091, ..., 0.9949, -1.6156, 1.7068]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[-0.2680, 1.1608, 0.4236, ..., -0.6514, -1.8459, 1.7907],
[-0.2799, 0.0400, -0.5889, ..., -3.2905, 2.6490, 0.6026],
[ 0.7612, -0.8879, -2.2381, ..., 0.8111, -2.1893, 1.6725]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[-0.8516, 0.0432, -0.4162, ..., -1.6667, -1.9084, 1.4546],
[-0.2662, 0.5765, -1.5117, ..., -4.1444, 3.4839, 0.1810],
[ 0.6355, -0.9301, -1.8775, ..., 1.3038, -2.0038, 2.1196]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[ 0.1404, -0.1801, 0.2396, ..., -2.2094, -1.2745, 0.8863],
[-0.1647, 0.1582, -1.3789, ..., -3.7638, 3.3349, 0.2131],
[ 0.9402, -1.4585, -2.2445, ..., 1.3561, -1.7883, 2.1691]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[-0.4074, 0.2659, -0.0707, ..., -2.8490, -1.8629, -0.1232],
[-0.3013, -0.3708, -1.4948, ..., -4.4454, 2.8337, 0.4441],
[ 0.6673, -1.7998, -1.5496, ..., 2.2153, -2.6104, 1.7706]]])
30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01,
-7.3406e-01, 1.7867e-01],
[ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01,
-3.7438e+00, 4.4429e-01],
[ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01,
-1.8399e+00, 4.5765e-03],
...,
[-3.0823e-01, -7.0586e-01, -7.3340e-01, ..., -3.7164e+00,
-2.1035e+00, -5.1496e-01],
[ 8.3611e-02, -9.4942e-02, -1.4281e+00, ..., -4.7363e+00,
3.0231e+00, 1.3855e+00],
[ 5.6952e-01, -1.4873e+00, -1.5706e+00, ..., 2.5254e+00,
-2.5297e+00, 1.9802e+00]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[-0.8924, -0.0837, -0.0896, ..., -4.3938, -2.3015, 0.5705],
[ 0.2337, -0.0359, -0.9970, ..., -5.3283, 3.3119, 2.0051],
[ 0.7952, -0.9898, -1.5249, ..., 1.5161, -2.2549, 2.0610]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[-1.2926, -0.4081, 0.5557, ..., -5.3154, -2.3396, -0.3690],
[-0.5728, 0.3703, -1.6873, ..., -6.1867, 3.2846, 2.3667],
[ 0.3572, -1.4811, -1.6651, ..., 1.2623, -2.2308, 1.7896]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[-0.9262, 0.1790, 1.1763, ..., -5.8756, -1.9845, -0.2907],
[-0.8750, 0.1034, -1.5590, ..., -6.0978, 3.2688, 3.4261],
[ 0.1129, -0.8465, -1.7447, ..., 1.7994, -2.1557, 2.2760]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[-0.9480, 0.3947, 1.5372, ..., -5.1295, -1.9421, -1.2911],
[-0.6913, 0.7321, -1.5496, ..., -5.6139, 3.3011, 3.6039],
[ 0.2819, -1.7521, -1.6447, ..., 2.0220, -2.6677, 2.5974]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[-0.8252, 1.4204, 0.9366, ..., -5.1441, -2.6231, -1.4043],
[ 0.2170, 0.8175, -2.8709, ..., -5.3584, 2.7561, 2.9810],
[ 0.8260, -1.6577, -1.6922, ..., 1.9805, -2.5754, 2.5856]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[-0.4763, 0.6904, 1.6648, ..., -5.1492, -2.4170, -1.1611],
[-0.6410, 0.3633, -3.7378, ..., -4.6922, 2.9258, 2.6647],
[ 0.9470, -2.6910, -1.9374, ..., 1.8499, -1.9002, 2.0820]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[ 0.5825, 1.1395, 1.5603, ..., -6.3028, -3.5562, -0.7345],
[ 0.2210, 0.6847, -3.7376, ..., -5.5152, 2.7881, 3.3625],
[ 2.1906, -3.7312, -1.0418, ..., 2.0233, -0.8944, 1.5353]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[-0.3568, 0.9828, 2.2130, ..., -5.6059, -4.4929, -1.5263],
[ 0.3886, 0.8623, -4.1250, ..., -4.8632, 3.5227, 2.1540],
[ 2.8662, -4.3586, -0.7861, ..., 1.7214, -0.5103, 1.1703]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[ 0.5090, 2.2497, 0.9356, ..., -5.7664, -3.7226, -1.5503],
[-0.9494, 0.7841, -3.4900, ..., -3.1856, 2.0588, 3.1818],
[ 2.7101, -4.8494, 0.4672, ..., 2.1477, -1.0331, -0.1534]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[-0.1317, 0.4861, 0.0173, ..., -0.8886, -0.7946, -0.4065],
[-0.3007, 0.3943, -2.1125, ..., -0.5964, 0.5437, 0.5344],
[-0.2276, -1.1072, -0.5497, ..., -0.0931, -0.6355, -0.2117]]])
Query: - Verständnis und Analyse eines gestellten Problems, einer Aufgabenstellung
- Ermittlung des Stands der Technik
- Entwicklung eines Konzeptes zur Lösung des Problems
- Durchführung und Validierung der Lösung
- Selbstständiges wissenschaftliches Arbeiten
- Erkennen sich ergebender zukünftiger Ansätze
- Verfassen einer wissenschaftlichen Abschlussarbeit
- Ergebnispräsentation
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[ 6.1111e-03, 1.1940e-03, 2.2125e-03, ..., 1.1520e-02,
-1.3947e-02, -3.6736e-03],
[ 3.6602e-03, 3.6068e-03, 1.7075e-02, ..., -2.1160e-04,
4.7089e-02, 2.6932e-02],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[-0.0420, -0.0470, -0.0136, ..., -0.0204, -0.0067, 0.0150],
[-0.0239, 0.0368, 0.0023, ..., -0.0393, 0.0709, 0.0187],
[ 0.0189, -0.0071, -0.0237, ..., 0.0289, -0.0282, 0.0174]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[ 0.0065, 0.0431, 0.0383, ..., 0.0263, 0.1444, 0.0433],
[-0.0323, 0.0972, 0.0537, ..., -0.0916, 0.0116, 0.0928],
[ 0.0750, -0.0118, 0.0090, ..., 0.0358, -0.0278, 0.0292]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[ 0.0201, 0.1773, 0.2075, ..., -0.0364, 0.2260, 0.0145],
[ 0.0654, 0.2082, 0.1836, ..., -0.0466, 0.1188, 0.0960],
[ 0.1075, -0.0714, 0.0597, ..., -0.0060, -0.0708, 0.0482]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[ 0.0791, 0.1895, 0.2286, ..., -0.0135, 0.3495, 0.1716],
[ 0.0664, 0.3128, 0.1532, ..., -0.1145, 0.2011, 0.1166],
[ 0.0932, -0.0547, 0.0509, ..., 0.0363, -0.1269, 0.1573]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[ 0.0938, -0.0575, 0.2086, ..., -0.1943, 0.0948, 0.0534],
[ 0.1517, 0.1854, 0.0044, ..., -0.2705, 0.1869, 0.1206],
[ 0.0635, -0.1633, 0.1353, ..., 0.1219, -0.3551, 0.3642]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[ 0.0177, -0.0547, 0.3734, ..., -0.4071, 0.0804, 0.1823],
[ 0.0242, 0.2301, -0.0099, ..., -0.1194, 0.5072, 0.1244],
[ 0.0143, -0.1415, 0.2125, ..., 0.0591, -0.3323, 0.3121]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[-0.0259, -0.1039, 0.0739, ..., -0.4653, -0.1098, 0.1955],
[ 0.2794, 0.1013, -0.2391, ..., -0.0477, 0.0170, 0.0906],
[-0.0551, -0.1170, 0.0964, ..., 0.3828, -0.6804, 0.4352]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[-0.0210, 0.1021, 0.3224, ..., -0.5426, -0.2331, 0.1739],
[ 0.4186, 0.1566, 0.0328, ..., -0.3608, -0.1187, 0.1111],
[-0.0694, -0.1123, 0.0764, ..., 0.3577, -0.9883, 0.2902]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[ 3.1563e-03, -5.6262e-02, 3.1919e-01, ..., -5.9650e-01,
-3.8177e-01, 1.6400e-01],
[-3.3352e-02, -1.1369e-01, 1.5748e-01, ..., -5.6929e-01,
-2.7828e-01, 8.4025e-02],
[-3.5331e-01, -2.0026e-01, 7.1549e-02, ..., -8.7912e-02,
-1.0632e+00, 3.6279e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[ 0.1527, 0.2106, 0.3523, ..., -0.5570, -0.6115, 0.3033],
[-0.0695, 0.2540, 0.4079, ..., -0.8244, 0.0324, 0.0946],
[-0.2153, -0.0179, -0.0477, ..., -0.1930, -1.0863, 0.5403]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[-0.1178, 0.1474, 0.2736, ..., -0.5405, -0.6195, 0.3170],
[-0.2438, -0.0356, 0.7647, ..., -0.4708, -0.1479, -0.1335],
[-0.2964, -0.1170, 0.1013, ..., 0.1768, -1.1847, 0.3130]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[-0.3063, 0.0960, 0.3916, ..., -0.4904, -0.7816, 0.3234],
[-0.3314, 0.1307, 0.8894, ..., -0.6092, -0.3524, -0.3113],
[-0.2957, -0.3761, 0.2469, ..., 0.2245, -1.0012, 0.4113]]])
13: tensor([[[ 2.5794e-01, -1.0105e+00, -5.3911e-01, ..., -3.4954e-02,
-2.0185e-01, 4.5267e-01],
[-6.4005e-01, -7.8039e-01, 1.3922e-03, ..., 1.2504e-01,
-3.1000e-01, 1.2849e-01],
[-6.0393e-02, -9.7953e-01, 4.2703e-01, ..., 1.7716e-01,
-6.6826e-01, -4.8370e-01],
...,
[-2.0032e-01, -1.2338e-01, 6.0260e-01, ..., -3.5302e-01,
-8.6577e-01, 4.1480e-01],
[-4.5953e-01, -3.1379e-02, 8.4365e-01, ..., -3.8636e-01,
-7.7923e-01, -2.9633e-01],
[-8.0766e-01, -4.6404e-01, 4.8262e-01, ..., 1.4100e-01,
-1.5063e+00, 2.1740e-01]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[-0.2355, -0.3076, 0.3881, ..., -0.4772, -0.6829, -0.1118],
[-0.4541, -0.4602, 0.8055, ..., -0.3703, -0.3777, -0.6670],
[-0.4197, -0.9293, 0.3032, ..., 0.2850, -1.5701, -0.0105]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[-0.1102, -0.2146, 0.6800, ..., -0.5698, -0.1368, -0.4871],
[-0.1422, -0.1405, 1.0812, ..., -0.8595, -0.1322, -1.2523],
[-0.1858, -0.8148, -0.0593, ..., 0.3228, -1.8875, -0.1843]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[-0.1810, 0.0893, 0.0766, ..., -0.5527, -0.4281, -0.5783],
[-0.7337, -0.0546, 0.6156, ..., -1.0373, -0.1272, -1.5687],
[-0.2846, -1.5765, -0.3960, ..., 0.4755, -2.3613, 0.3883]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[ 0.1372, 0.2322, -0.1087, ..., -0.9740, -0.2192, -0.6724],
[-1.1754, -0.0970, 0.8180, ..., -1.2943, 0.1012, -2.0819],
[-0.2025, -1.5351, -0.2433, ..., 0.7643, -1.8272, 0.3626]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[ 0.1042, 0.3225, -0.0455, ..., -1.0511, -0.1475, -0.4730],
[-1.2896, 0.4738, 0.8700, ..., -1.2960, 0.1166, -1.7183],
[-0.0279, -1.4079, -0.0046, ..., 1.1322, -2.4392, -0.0231]]])
19: tensor([[[ 3.0254e-01, -1.2240e+00, -1.1377e-01, ..., 1.3727e-01,
-4.4626e-01, 8.6815e-01],
[ 3.9813e-01, -1.5456e+00, 3.2579e-01, ..., -1.8750e-01,
-1.6000e+00, -1.1540e+00],
[ 4.8154e-01, -1.4289e+00, -3.1729e-02, ..., -7.0834e-03,
-1.0063e+00, -1.0037e+00],
...,
[-1.9288e-04, 4.1198e-01, -2.1003e-01, ..., -1.1002e+00,
-1.1532e-01, -6.5070e-01],
[-4.2789e-01, 6.8311e-02, 6.0422e-01, ..., -1.6989e+00,
2.9709e-02, -2.4070e+00],
[ 4.5509e-02, -1.8266e+00, -7.7606e-01, ..., 1.2248e+00,
-2.6481e+00, -1.6694e-01]]])
20: tensor([[[ 4.6862e-01, -1.2657e+00, -4.1859e-02, ..., 9.1898e-02,
-3.4358e-01, 8.8087e-01],
[ 3.4819e-01, -1.9316e+00, -2.9615e-01, ..., 6.0651e-02,
-1.7172e+00, -8.6003e-01],
[ 4.5991e-01, -1.7459e+00, -2.5160e-01, ..., -1.4738e-01,
-1.0419e+00, -7.4159e-01],
...,
[ 5.4506e-01, 1.7161e-01, -8.8180e-01, ..., -1.4322e+00,
1.1535e-01, -9.9924e-01],
[ 2.9477e-03, 7.3909e-01, 3.9258e-01, ..., -2.7656e+00,
7.6071e-01, -3.1099e+00],
[ 5.2318e-02, -2.0867e+00, -1.7151e-01, ..., 1.0164e+00,
-2.2236e+00, -5.2470e-01]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[ 0.2124, 0.3164, -0.3132, ..., -1.0374, 0.3234, -1.0969],
[ 0.6047, 1.0734, 0.3912, ..., -2.3870, 0.4485, -3.0733],
[-0.2617, -1.8999, -0.2345, ..., 1.0625, -2.9888, -0.1062]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[ 1.1058, 0.8698, -0.5755, ..., -1.3661, 0.6945, -0.6309],
[ 1.1336, 1.4533, 0.4209, ..., -2.8900, 1.1155, -2.3194],
[-0.8843, -1.9074, 0.6353, ..., 1.3420, -3.1098, 0.5069]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[ 1.5015, 1.7656, -0.5271, ..., -1.2624, 0.4438, -1.3582],
[ 1.7489, 1.9417, 1.1196, ..., -3.7349, 1.5047, -3.0082],
[-1.0964, -0.8771, 0.5730, ..., 1.7838, -3.0655, -0.0505]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[ 1.7955, 1.7624, -0.2210, ..., -0.8979, 1.4669, -1.5757],
[ 1.7598, 1.6948, 1.0199, ..., -3.8458, 1.7697, -2.9213],
[-0.9848, -0.3770, 1.3044, ..., 2.0763, -2.3734, -0.4867]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[ 1.5994, 1.7823, -1.0906, ..., -0.0412, 1.7821, -0.8750],
[ 2.0812, 2.1172, 1.2566, ..., -4.8743, 1.9421, -3.0682],
[-1.0039, 0.0262, 1.4275, ..., 1.7576, -2.5377, -1.3906]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[ 1.4366, 1.7409, -1.6487, ..., 0.2517, 2.4316, -1.1706],
[ 2.2657, 2.0542, 1.8759, ..., -5.5952, 2.0317, -2.8473],
[-0.8136, 0.3107, 1.2181, ..., 1.8692, -2.7522, -0.7841]]])
27: tensor([[[ 5.1504e-01, -1.0300e+00, 1.9909e-01, ..., 2.2639e-01,
-4.4911e-01, 3.0858e-01],
[ 2.7256e-01, -1.9265e+00, -1.1439e-01, ..., -5.3034e-01,
-3.5600e+00, 5.5347e-01],
[ 5.4575e-01, -2.0804e+00, 5.1859e-01, ..., -1.0915e+00,
-1.9407e+00, 1.2542e-01],
...,
[ 8.5030e-01, 3.1977e+00, -1.7743e+00, ..., 1.1824e-02,
2.3568e+00, -1.1448e+00],
[ 2.1957e+00, 2.1934e+00, 7.5490e-01, ..., -5.4935e+00,
3.9611e+00, -2.5368e+00],
[-8.9509e-01, -2.8564e-03, 1.7505e+00, ..., 2.3737e+00,
-1.6607e+00, -9.2997e-01]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[ 1.1502, 3.8739, -1.4079, ..., -0.9804, 1.9150, -1.1962],
[ 3.3740, 2.2386, 1.0136, ..., -5.6095, 3.4038, -2.3766],
[ 0.0475, 0.2609, 2.4953, ..., 1.9548, -1.9047, -1.1826]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[ 0.6981, 2.3410, -1.0693, ..., -1.9235, 1.8836, -1.1859],
[ 3.7063, 1.7808, 1.5905, ..., -5.4703, 4.0453, -1.7472],
[-0.2172, 0.2488, 1.8600, ..., 2.7203, -3.3375, -1.8443]]])
30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01,
-7.3406e-01, 1.7867e-01],
[ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01,
-3.7438e+00, 4.4429e-01],
[ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01,
-1.8399e+00, 4.5765e-03],
...,
[ 5.2489e-01, 2.9373e+00, -9.4187e-01, ..., -2.8495e+00,
2.1334e+00, -7.2000e-01],
[ 4.2761e+00, 2.3016e+00, 1.6153e+00, ..., -5.2009e+00,
3.8475e+00, -1.6408e+00],
[ 4.0766e-03, 9.8916e-01, 2.0998e+00, ..., 3.2752e+00,
-3.5885e+00, -2.1785e+00]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[ 0.7604, 1.8132, 0.0113, ..., -3.3304, 1.4213, -1.0019],
[ 5.8615, 2.5278, 2.5118, ..., -5.5414, 4.1597, -2.1254],
[-0.1166, 1.5274, 3.2274, ..., 2.5461, -3.2624, -1.6560]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[-0.3819, 2.2189, -0.5029, ..., -3.8352, 2.4015, 0.1645],
[ 6.3849, 2.0266, 2.3206, ..., -6.0530, 4.1536, -2.0358],
[-0.8091, 1.0662, 3.0726, ..., 2.0688, -3.2840, -2.1161]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[-1.5870, 1.7790, -0.8055, ..., -3.8901, 2.0608, 0.2605],
[ 6.3158, 2.6035, 3.1467, ..., -5.9900, 4.0705, -1.5381],
[-0.7545, 2.0721, 2.9061, ..., 2.5039, -3.7658, -1.1047]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[-1.7486, 1.2801, -0.6162, ..., -4.0939, 2.7502, 0.0691],
[ 6.9290, 2.0857, 3.6434, ..., -6.5145, 4.2774, -1.1752],
[-0.7339, 2.0726, 3.6752, ..., 1.7470, -3.6093, -0.4465]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[-1.5190, 0.5623, -0.8457, ..., -2.9911, 2.9899, -0.9417],
[ 7.9691, 0.8393, 3.3738, ..., -6.9073, 3.4076, -1.8653],
[-0.9707, 2.2637, 3.7645, ..., 1.8704, -3.0269, -1.7287]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[ 0.0951, -0.7822, 0.0112, ..., -2.5569, 2.0859, -0.1043],
[ 9.5563, 0.0207, 2.5763, ..., -6.1449, 4.3405, -2.5937],
[-0.8976, 1.6794, 4.0731, ..., 1.8662, -3.4456, -2.7742]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[ 0.0254, -0.8098, -0.1154, ..., -3.5461, 2.0185, 0.1540],
[10.2479, 0.2402, 3.7616, ..., -7.0593, 4.4061, -1.5158],
[-0.6306, 1.2509, 4.0843, ..., 1.6163, -3.2640, -3.1731]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[ 0.7655, -0.5426, -0.5697, ..., -3.1507, 2.3042, -0.6479],
[11.4769, 0.5629, 2.8950, ..., -7.5464, 4.5938, -4.3534],
[ 0.0510, 2.5967, 4.1032, ..., 0.2554, -2.5422, -3.8077]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[ 1.6754, -1.3056, -0.2261, ..., -1.8542, 1.3269, -0.5555],
[13.7086, 1.1704, 4.3781, ..., -5.9798, 2.0960, -4.2648],
[ 0.4311, 3.0621, 6.9154, ..., 0.4086, -4.5138, -5.3659]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[ 0.4700, -0.7851, -0.2677, ..., 0.3497, 0.8756, 0.4218],
[ 1.9042, -0.2846, -0.3508, ..., -1.1321, -0.2664, -0.9701],
[-0.3948, 0.1319, 0.5750, ..., -0.2891, -1.1615, -1.0425]]])
Query: - Relationale Datenbanken
- Datenmodelle (z. B. E/R-Diagramme) und Datenmodellierung
- Relationenalgebra
- Datenbankentwurf
- Structured Query Language (SQL) und deren Grundlagen
- NoSQL und BigData
- Anbindung von Datenbanken an moderne (web-basierte) Anwendungen über JDBC und JSON
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[ 5.5122e-03, 6.7215e-03, 2.3003e-03, ..., -1.0880e-02,
-2.6340e-03, -1.4328e-02],
[ 2.7878e-02, -9.0790e-03, -1.1391e-02, ..., 2.7222e-02,
-6.9275e-03, -2.2903e-02],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[ 0.0015, -0.0747, 0.0359, ..., -0.1004, -0.0330, -0.0060],
[-0.0237, 0.0285, 0.0171, ..., 0.0665, -0.0418, 0.0366],
[-0.0063, -0.0289, -0.0320, ..., 0.0374, -0.0205, -0.0215]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[-0.0472, -0.0774, -0.0085, ..., -0.1084, -0.0688, -0.0304],
[ 0.0343, 0.0870, 0.0976, ..., 0.1690, -0.0947, 0.0121],
[ 0.0344, -0.0187, -0.0346, ..., 0.0261, -0.0007, 0.0079]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[-0.0193, -0.0925, 0.0298, ..., -0.1330, -0.1234, -0.1114],
[ 0.0761, 0.0498, 0.0784, ..., 0.1884, -0.0599, 0.0009],
[ 0.0304, -0.0581, -0.0274, ..., -0.0046, 0.0068, -0.0025]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[ 0.0422, -0.0467, -0.0098, ..., -0.1678, -0.0915, -0.1111],
[ 0.0491, 0.1576, 0.0960, ..., 0.1045, -0.0105, 0.1167],
[ 0.0258, -0.0556, -0.0430, ..., -0.0067, -0.0199, 0.0921]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[ 0.0154, -0.1365, -0.1646, ..., -0.2530, -0.0658, -0.0097],
[ 0.0427, 0.3213, -0.0076, ..., 0.2521, 0.0872, 0.1961],
[ 0.1492, -0.2047, -0.0898, ..., -0.0336, -0.0370, 0.1421]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[-0.0566, -0.0425, -0.2790, ..., -0.2126, 0.1505, -0.0080],
[-0.0664, 0.2760, -0.0018, ..., 0.2970, 0.1859, -0.1387],
[ 0.2535, -0.0729, -0.2175, ..., -0.0067, 0.0611, 0.1607]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[ 0.0831, 0.0078, 0.0284, ..., -0.1483, 0.1970, 0.0564],
[-0.2017, 0.3514, 0.2186, ..., 0.1155, 0.2340, -0.2349],
[ 0.3577, -0.0745, -0.0257, ..., 0.0092, 0.0657, 0.2289]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[ 0.3947, -0.1095, -0.0813, ..., -0.0743, 0.0890, 0.0270],
[ 0.0226, 0.3638, -0.1021, ..., 0.1572, 0.0351, -0.3567],
[ 0.6275, -0.2691, -0.0975, ..., 0.0202, -0.1592, 0.2733]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[ 3.6271e-01, 1.2119e-01, -2.7959e-01, ..., -2.0293e-01,
2.1802e-01, -8.5566e-02],
[ 1.0840e-02, 3.7504e-01, -1.1996e-01, ..., 3.3768e-01,
-2.4579e-03, -5.0539e-01],
[ 4.0429e-01, -2.2633e-01, -1.5222e-01, ..., -2.7472e-02,
7.3961e-02, 6.8930e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[ 0.5063, -0.1321, -0.5802, ..., -0.0460, 0.3617, 0.0255],
[-0.1473, -0.0551, -0.2273, ..., 0.5800, -0.3334, -0.1116],
[ 0.4060, -0.2487, -0.3703, ..., 0.3153, -0.1058, 0.8158]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[ 0.3111, -0.1380, -0.5345, ..., 0.1779, 0.4709, -0.0219],
[-0.4888, -0.0558, -0.2755, ..., 0.3622, -0.2475, 0.0628],
[ 0.2561, -0.0532, -0.4510, ..., 0.2544, -0.1149, 0.8719]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[ 0.2311, -0.3620, -0.6903, ..., 0.3850, 0.4025, -0.0670],
[-0.0727, 0.1431, -0.1661, ..., 0.5706, -0.6223, -0.0953],
[ 0.4716, -0.3997, -0.2679, ..., 0.4808, -0.4622, 0.6338]]])
13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527],
[-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285],
[-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837],
...,
[-0.0859, -0.4541, -0.7863, ..., 0.6186, 0.1252, -0.4191],
[-0.3356, -0.1839, -0.1720, ..., 0.9124, -0.7675, -0.5880],
[ 0.3265, -0.2299, -0.3092, ..., 0.3233, -0.8572, 0.7809]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[ 0.3085, -0.5019, -0.4538, ..., 0.4254, -0.0192, -0.3304],
[-0.4167, -0.3514, -0.3005, ..., 0.6883, -0.6932, -0.6715],
[ 0.6593, -0.4328, -0.0781, ..., 0.2429, -0.7662, 0.4267]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[-0.1409, -0.3259, -0.3606, ..., 0.5684, 0.0154, -0.5155],
[-0.2114, -0.1444, -0.2275, ..., 0.8932, -0.7446, -0.5262],
[ 0.7949, -0.5304, -0.6832, ..., 0.5363, -1.0480, 0.2443]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[-0.0336, -1.0119, -0.1057, ..., 0.3325, -0.0408, -0.6378],
[-0.2621, -1.0209, -0.1818, ..., 0.7850, -0.6759, -0.8472],
[ 0.6548, -1.0037, -0.7134, ..., 0.4560, -1.4777, 0.4296]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[ 0.1438, -0.9720, -0.2504, ..., 0.1387, -0.1843, -0.8849],
[-0.5196, -1.0402, 0.2672, ..., 0.5375, -0.8259, -1.1496],
[ 0.1071, -1.0305, -0.5094, ..., 0.4807, -1.1405, 0.6018]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[ 0.3984, -0.8172, -0.4815, ..., -0.2873, -0.0675, -0.3616],
[-0.4931, -1.0462, 0.7318, ..., 0.3173, -0.9115, -0.9990],
[-0.0738, -1.0685, -0.4139, ..., 0.7847, -1.7440, 0.1337]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[ 0.4640, -1.3378, -0.6916, ..., -0.4588, 0.0748, -0.5223],
[-0.4107, -0.9621, 0.7489, ..., -0.4144, -1.1491, -1.1441],
[-0.0979, -1.8422, -1.3447, ..., 0.8536, -1.5296, 0.0343]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[ 1.0745, -1.7259, -1.3564, ..., -0.7578, 0.4374, -1.2591],
[ 0.3336, -0.7326, 0.9374, ..., -0.8490, -0.3070, -1.3561],
[ 0.2103, -2.2124, -1.0510, ..., 0.8573, -1.2803, -0.1788]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[ 1.7224, -2.3192, -1.2581, ..., -1.0818, 0.3128, -1.5081],
[ 0.7569, -0.6412, 1.6853, ..., -0.6861, -0.1547, -1.2855],
[ 0.3425, -2.5382, -0.9090, ..., 0.8222, -1.3168, -0.2051]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[ 1.5406, -2.3499, -1.1381, ..., -1.3887, 0.9078, -2.0187],
[ 1.0296, 0.2166, 1.4793, ..., -1.2495, 0.0065, -1.4128],
[-0.5841, -2.4565, 0.1352, ..., 1.0134, -0.9551, 0.8040]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[ 2.0272, -2.8587, -1.8141, ..., -1.8719, 0.8422, -2.2480],
[ 1.2573, -0.0482, 1.8541, ..., -0.4007, 0.1703, -1.5591],
[-0.8969, -2.1192, -0.2011, ..., 0.9342, -0.6793, 0.6907]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[ 2.4335, -3.0858, -1.5646, ..., -2.6961, 1.5760, -3.1334],
[ 1.5146, -0.5773, 1.7668, ..., -0.9892, 0.8178, -2.5088],
[-0.8122, -2.1049, 0.0907, ..., 1.3625, -0.5188, 0.5540]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[ 2.2389, -2.6516, -1.7313, ..., -3.5451, 0.7784, -2.5426],
[ 1.3664, -0.2479, 1.9890, ..., -0.6102, 0.3697, -1.6883],
[-0.3629, -1.4190, 0.0354, ..., 0.7464, -0.5841, 0.5724]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[ 1.6058, -3.5167, -2.9901, ..., -4.3778, 0.7809, -2.0534],
[ 1.5379, 0.0675, 1.9681, ..., -0.4747, -0.1987, -1.2384],
[-0.4791, -1.6156, -0.4452, ..., 0.7358, -0.6428, 1.0081]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[ 2.0544, -4.0103, -3.2586, ..., -5.0365, 1.7615, -2.1711],
[ 1.6425, 0.5369, 2.5264, ..., -0.1338, 0.4678, -0.4329],
[-0.9049, -2.2326, -0.1932, ..., 1.1486, 0.1523, 1.3562]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[ 2.8724, -5.2144, -3.4477, ..., -4.7133, 2.0928, -1.3876],
[ 2.4583, 0.5690, 2.5468, ..., 0.6748, 1.0607, -0.7116],
[-0.2890, -2.3362, 0.2185, ..., 1.3443, 0.3686, 0.9545]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[ 2.7922, -5.5534, -3.2990, ..., -4.7326, 1.6125, -1.7753],
[ 2.2917, 0.7790, 2.3169, ..., 0.4110, 1.4776, -1.1710],
[ 0.0467, -2.2430, -0.0200, ..., 1.1722, -0.6057, 0.4727]]])
30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01,
-7.3406e-01, 1.7867e-01],
[ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01,
-3.7438e+00, 4.4429e-01],
[ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01,
-1.8399e+00, 4.5765e-03],
...,
[ 3.2437e+00, -5.5734e+00, -2.7944e+00, ..., -4.2747e+00,
9.4699e-01, -2.0275e+00],
[ 2.0698e+00, 3.1514e-01, 1.9243e+00, ..., 5.6490e-01,
1.2492e+00, -1.5422e+00],
[ 1.3638e-01, -1.5598e+00, -4.2947e-02, ..., 1.4609e+00,
-4.0798e-01, -1.6527e-01]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[ 2.6913, -5.1736, -1.7705, ..., -4.8726, 1.4112, -1.4812],
[ 1.7269, 1.0636, 2.5517, ..., 0.6263, 2.0222, -1.9168],
[ 0.2253, -1.3093, 1.6590, ..., 0.6327, -0.1800, 0.3339]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[ 4.2757, -5.3875, -2.1035, ..., -4.2579, 0.6207, -1.2725],
[ 2.0070, 0.9310, 2.4771, ..., 1.2323, 2.2327, -2.2505],
[-0.5983, -1.8033, 1.4861, ..., -0.1842, -0.0389, -0.3405]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[ 3.8237, -4.4212, -1.6342, ..., -4.1586, 0.2205, -0.9428],
[ 1.6933, 1.7335, 3.1962, ..., 0.9122, 2.3590, -1.4135],
[-0.3367, -0.3322, 1.7645, ..., 0.4584, 0.3427, 0.5675]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[ 3.1211, -4.5176, -1.4634, ..., -3.1287, 0.5241, -0.3055],
[ 1.4275, 1.9958, 3.4306, ..., 1.3041, 1.5726, -0.9807],
[-0.4230, -0.0858, 2.6041, ..., -0.1064, 0.5931, 0.5887]]])
35: tensor([[[ 8.0000e-01, -7.8714e-01, 4.1892e-01, ..., 1.2866e-01,
-1.0022e+00, -4.4760e-01],
[ 1.4832e+00, -2.1899e+00, -7.5929e-01, ..., -9.0991e-01,
-4.0092e+00, -7.0389e-02],
[ 1.1589e+00, -2.4299e+00, -3.6147e-02, ..., -9.1479e-01,
-2.3421e+00, 3.9657e-01],
...,
[ 2.9366e+00, -4.8582e+00, -3.8932e-01, ..., -3.2909e+00,
9.1116e-01, -9.3582e-01],
[ 3.2877e-01, 1.6028e+00, 3.3339e+00, ..., 1.6486e+00,
2.4844e+00, -3.6424e-01],
[-2.7594e-01, 4.7155e-03, 2.2894e+00, ..., -1.2476e+00,
1.1052e+00, -3.9211e-01]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[ 4.0843, -5.8631, -1.4385, ..., -3.1474, -0.0076, -1.6990],
[ 1.0872, 0.5145, 2.5873, ..., 2.0395, 3.5592, -0.0820],
[-0.1140, -0.7120, 2.9080, ..., -1.4371, 1.4690, -0.7021]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[ 3.4505, -5.9665, -1.3381, ..., -4.1004, 0.0435, -1.9977],
[ 0.8749, 1.2210, 2.8130, ..., 1.5254, 3.4783, -0.7605],
[-0.3114, -1.1007, 3.4742, ..., -1.3636, 1.8859, -1.4889]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[ 2.7322, -7.3290, -0.7014, ..., -3.4228, 0.7402, -1.2352],
[ 1.0696, 1.5431, 2.0227, ..., 1.9928, 4.8737, -3.1363],
[ 0.1865, -0.9694, 4.0658, ..., -2.8617, 2.8727, -2.0334]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[ 3.3146, -7.7611, -0.8335, ..., -2.3387, -0.6730, 0.1157],
[ 2.6634, 1.0326, 1.4465, ..., 2.5672, 5.1083, -0.5765],
[ 1.1087, -1.4600, 5.5458, ..., -2.2555, 1.7531, -3.5845]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[ 0.2815, -1.4711, -0.7818, ..., -0.4549, 0.0441, 0.6582],
[ 0.4560, 0.5943, -0.8763, ..., 0.4542, 2.0255, 0.0663],
[-0.2933, -0.6003, 0.3018, ..., -0.7392, -0.2702, -1.0215]]])
Query: - Überblick über das Gebiet der Informatik (Aufgaben, Teilbereiche, Tätigkeiten. . . )
- Geschichte der Informatik
- Grundlagen zu Rechnerarchitekturen (Komponenten des Rechners: RAM, ROM, CPU, . . . )
- Zahlensysteme und Kodierung
- Betriebssysteme (Einführung), Kommandozeile (Shell), Graphische Oberflächen
- Rechnernetze und Internet (Einführung)
- Prinzipien IT-Sicherheit (Einführung)
- Aktuelle und zukünftigen Herausforderungen der IT (Mobile Systeme, IOT, Cloud Computing, Big Data Ana-
lysis, . . . )
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[-1.7729e-03, 6.2227e-04, 4.5300e-04, ..., -7.2632e-03,
4.3449e-03, -1.1719e-02],
[-3.6896e-02, 4.3030e-03, 9.6083e-04, ..., 3.0640e-02,
8.6365e-03, 2.9755e-02],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[-0.0487, 0.0316, -0.0832, ..., -0.0294, 0.0168, -0.0415],
[-0.1274, -0.0433, 0.0065, ..., 0.0752, 0.0470, 0.0571],
[-0.0044, -0.0195, -0.0397, ..., 0.0285, -0.0079, 0.0215]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[-0.0624, 0.0157, 0.0146, ..., -0.0102, 0.0686, -0.0479],
[-0.1614, -0.0878, 0.0189, ..., 0.0244, 0.0864, 0.0844],
[ 0.0436, -0.0423, -0.0541, ..., 0.0183, -0.0354, 0.0408]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[-0.0423, -0.0357, 0.1674, ..., -0.1069, -0.0232, -0.1214],
[-0.2229, -0.0490, 0.0466, ..., -0.0107, 0.1551, 0.1111],
[ 0.1009, -0.0555, -0.0266, ..., 0.0200, -0.0433, 0.1187]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[-0.0154, -0.0239, 0.1742, ..., -0.0814, 0.0355, -0.1469],
[-0.2575, -0.1643, 0.0486, ..., 0.0349, 0.1008, 0.1724],
[ 0.0671, -0.1255, 0.0174, ..., 0.0219, -0.0828, 0.1891]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[ 0.2310, -0.1892, 0.3003, ..., -0.0266, 0.1695, -0.3378],
[-0.2391, -0.1688, 0.1731, ..., 0.0146, 0.1724, 0.1834],
[ 0.1654, -0.1895, 0.0222, ..., -0.0970, -0.0705, 0.3589]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[ 0.2822, -0.0786, 0.3713, ..., 0.0217, 0.4516, -0.2280],
[-0.3600, -0.0130, 0.2026, ..., 0.2136, 0.4885, 0.2258],
[ 0.1984, -0.1533, 0.1190, ..., -0.0493, -0.0516, 0.3498]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[ 0.2049, -0.1723, 0.5829, ..., 0.0930, 0.6030, 0.1119],
[-0.4342, 0.1423, 0.3438, ..., 0.4201, 0.3497, 0.2935],
[ 0.1085, -0.1244, 0.4269, ..., 0.1036, -0.1614, 0.3859]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[ 0.0601, -0.4529, 0.5977, ..., 0.2704, 0.6081, 0.0398],
[-0.3409, 0.0597, 0.1503, ..., 0.6129, 0.4104, 0.5767],
[ 0.1095, -0.3138, 0.5480, ..., 0.0467, -0.3703, 0.5734]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[-3.4979e-02, -5.2742e-01, 5.2310e-01, ..., -2.4126e-01,
5.4443e-01, -9.0865e-02],
[-2.8775e-01, -3.0059e-02, 6.6131e-02, ..., 5.9684e-01,
4.2919e-01, 3.2328e-01],
[-1.1677e-01, -4.3646e-01, 5.2148e-01, ..., -3.4384e-02,
-1.6658e-01, 5.4950e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[ 0.0908, -0.7041, 0.5025, ..., 0.0603, 0.5701, -0.3354],
[-0.1572, -0.3152, 0.2057, ..., 0.7458, 0.3839, 0.1924],
[ 0.1460, -0.5042, 0.3632, ..., 0.3181, -0.4711, 0.5347]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[ 0.1870, -0.7850, 0.0954, ..., 0.4523, 0.3732, -0.7597],
[-0.6661, -0.5753, 0.2888, ..., 0.7781, -0.3396, 0.2975],
[ 0.2442, -0.2960, 0.4526, ..., 0.4141, -0.8619, 0.4545]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[-0.2573, -0.9501, 0.2498, ..., 0.2383, 0.3417, -0.5579],
[-0.6739, -0.5578, 0.4354, ..., 0.6997, -0.3185, 0.4404],
[ 0.2951, -0.4872, 0.4017, ..., 0.5815, -0.8658, 0.5464]]])
13: tensor([[[ 2.5794e-01, -1.0105e+00, -5.3911e-01, ..., -3.4954e-02,
-2.0185e-01, 4.5267e-01],
[-6.4005e-01, -7.8039e-01, 1.3922e-03, ..., 1.2504e-01,
-3.1000e-01, 1.2849e-01],
[-6.0393e-02, -9.7953e-01, 4.2703e-01, ..., 1.7716e-01,
-6.6826e-01, -4.8370e-01],
...,
[-3.9513e-01, -1.6859e+00, -5.1570e-02, ..., 8.2555e-01,
1.7392e-01, -1.2749e+00],
[-9.4996e-01, -7.9778e-01, 3.9841e-01, ..., 9.3680e-01,
-6.7405e-01, 1.0086e-01],
[ 4.9768e-01, -5.0312e-01, 4.6794e-01, ..., -2.3904e-03,
-8.2325e-01, 4.9596e-01]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[ 0.3434, -1.5932, -0.3821, ..., 0.7457, 0.0843, -1.6137],
[-0.4891, -1.2672, 0.4510, ..., 0.9880, -0.8000, -0.2486],
[ 0.6488, -0.4812, 0.3225, ..., 0.6868, -0.8247, 0.0708]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[ 0.0767, -1.4851, -0.5595, ..., 1.1854, 0.1608, -1.2619],
[-0.4946, -1.3874, 0.1716, ..., 0.9384, -0.7294, -0.6871],
[ 1.0898, -0.9209, 0.0217, ..., 0.8268, -1.2059, -0.0187]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[ 0.0313, -1.5529, -0.5310, ..., 0.7778, 0.1782, -1.1722],
[-0.7961, -1.3412, -0.4557, ..., 0.4125, -0.5055, -0.8024],
[ 0.7343, -1.3181, 0.0357, ..., 0.5796, -1.3605, 0.3581]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[ 0.0674, -2.0106, -0.3442, ..., 0.3227, -0.0841, -1.7046],
[-1.3118, -1.5217, -0.0333, ..., 0.3593, -0.2291, -0.9487],
[ 0.2240, -1.4341, 0.2767, ..., 0.4151, -1.0987, 0.3552]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[-0.0700, -2.0770, -0.3796, ..., -0.5003, -0.3007, -1.6296],
[-1.3169, -1.5227, -0.2144, ..., 0.2041, -0.5120, -1.0864],
[-0.0559, -1.5044, 0.5241, ..., 0.8432, -1.6726, -0.0066]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[-0.0710, -1.9484, -0.5845, ..., -0.4786, -0.3704, -1.5239],
[-0.7950, -1.9236, -0.9073, ..., -0.0568, -0.7747, -0.4756],
[ 0.1711, -2.0063, -0.2549, ..., 1.1533, -1.7463, 0.0954]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[-0.3566, -2.0543, -0.8775, ..., -0.3080, -0.1289, -1.8799],
[-0.8121, -2.0070, -1.2419, ..., 0.0352, -0.3943, -0.7831],
[-0.0904, -2.1683, 0.1193, ..., 0.7565, -1.2825, -0.4311]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[-0.2092, -2.0488, -0.9050, ..., -0.1838, -0.8750, -2.0919],
[-1.0629, -2.3751, -1.3278, ..., 0.1622, -1.0180, -1.0523],
[-0.3484, -2.1544, 0.3798, ..., 1.2386, -1.2003, -0.5082]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[-0.4900, -2.0512, -0.6067, ..., -0.6038, -1.6726, -1.8185],
[-1.1825, -2.7834, -1.6562, ..., -0.0554, -0.5183, -0.4456],
[-0.6605, -2.3611, 1.0127, ..., 1.1364, -0.9881, 0.3816]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[ 0.0386, -2.0876, -0.4375, ..., -0.7566, -1.6035, -1.5403],
[-0.8545, -3.2322, -1.4846, ..., -0.9535, -0.7597, -0.4727],
[-0.7628, -2.2089, 0.6294, ..., 0.9142, -1.1937, 0.1119]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[ 0.2039, -1.7337, 0.0576, ..., -0.8486, -1.3979, -1.2960],
[-0.7175, -3.5684, -1.4744, ..., -1.9277, -0.2708, -0.5821],
[-1.2820, -2.3018, 1.0179, ..., 1.0204, -1.1091, -0.1228]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[-0.2211, -1.3330, 0.1727, ..., -0.7456, -1.8531, -1.4993],
[-0.6862, -3.4604, -1.6881, ..., -2.4775, -0.2951, -0.3663],
[-1.0962, -1.9173, 0.9787, ..., 1.0975, -1.2001, -1.0184]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[-0.0454, -1.0680, 0.0700, ..., 0.3356, -2.6238, -1.7149],
[-0.9843, -3.9714, -2.3800, ..., -1.3407, -0.9862, -0.4630],
[-1.2059, -1.8522, 0.4067, ..., 1.5091, -1.4730, -0.6389]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[ 0.0527, -1.1496, -0.7733, ..., 0.5499, -1.6237, -1.8594],
[-1.2083, -4.8541, -2.4729, ..., -1.2797, -0.0682, -0.8489],
[-1.3514, -2.6153, 0.3715, ..., 1.7678, -0.8605, -0.3472]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[ 0.1089, -1.8676, -1.0754, ..., 0.6888, -1.7781, -1.7872],
[-1.6032, -5.1643, -2.7122, ..., -0.9007, -0.2794, -0.9946],
[-1.4093, -2.9542, 0.2986, ..., 1.9513, -0.8055, -0.6720]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[ 0.5631, -2.0362, -0.2345, ..., 1.0806, -1.0605, -2.4169],
[-1.2330, -6.1474, -2.2815, ..., -0.9398, -0.1821, -1.8977],
[-1.5207, -3.2455, 0.1808, ..., 2.1397, -1.5428, -1.2386]]])
30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01,
-7.3406e-01, 1.7867e-01],
[ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01,
-3.7438e+00, 4.4429e-01],
[ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01,
-1.8399e+00, 4.5765e-03],
...,
[ 9.6453e-01, -2.0929e+00, -5.1517e-01, ..., 5.0027e-01,
-9.6261e-01, -2.2955e+00],
[-1.2642e+00, -5.7533e+00, -2.4969e+00, ..., -9.5328e-01,
1.4433e-01, -1.8461e+00],
[-1.7467e+00, -2.7947e+00, 2.6325e-01, ..., 2.2736e+00,
-1.4802e+00, -1.4982e+00]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[ 1.5182, -2.1277, 0.0293, ..., 0.5970, -0.4491, -1.8201],
[-0.7024, -6.0093, -1.7722, ..., -1.0543, 0.3753, -0.9907],
[-1.6526, -2.7465, 1.0187, ..., 2.1265, -1.4528, -0.9852]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[ 1.5579, -2.1737, -0.2200, ..., 0.1204, -0.4435, -1.7939],
[-1.1907, -6.0531, -1.1460, ..., -2.0081, -0.1954, -1.2371],
[-2.3064, -3.1495, 0.9527, ..., 1.4974, -1.3653, -1.3743]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[ 1.8876, -3.0016, 0.0510, ..., -0.4209, -1.3455, -1.3240],
[-1.3602, -5.9394, -1.2605, ..., -1.7483, 0.1716, -0.9643],
[-2.3054, -2.2106, 0.9647, ..., 1.4619, -1.2101, -0.4534]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[ 2.7159, -2.4862, -0.1565, ..., -0.5860, -1.9542, -0.8908],
[-1.4414, -5.7911, -1.3131, ..., -1.8251, -0.5773, -0.8400],
[-2.3534, -2.0976, 1.1478, ..., 0.9893, -1.1330, -0.0550]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[ 2.6886, -2.1910, -0.9137, ..., 0.2637, -1.8389, -0.9151],
[-0.9692, -6.0953, -1.4719, ..., -1.6289, -0.3352, -1.7189],
[-2.6494, -1.6297, 1.0752, ..., 0.8142, -1.5288, -1.0791]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[ 3.1253, -2.3728, -1.9054, ..., 1.0637, -1.1763, -0.9000],
[-1.1522, -6.4754, -2.0153, ..., -0.7478, 0.4120, -1.8474],
[-3.4999, -2.1569, 0.8328, ..., 0.8387, -2.4356, -1.5970]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[ 3.4121, -3.1328, -1.8153, ..., 0.4299, -1.9409, 0.0285],
[-0.6115, -6.2148, -2.9208, ..., -0.3592, -0.1991, -1.6230],
[-2.8508, -2.5612, 0.5079, ..., 0.6845, -1.8098, -2.0898]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[ 1.7783, -2.1970, -1.4629, ..., 1.4680, -1.1478, -0.8309],
[-1.2889, -6.7319, -3.8824, ..., -0.1667, 0.2976, -3.2515],
[-2.5639, -2.4927, 0.8614, ..., 0.6284, -1.0756, -1.9909]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[ 2.2596, -2.5020, -2.3322, ..., 3.8864, -2.0182, -1.3758],
[-0.2417, -6.5341, -4.2662, ..., 2.6851, -1.3563, -3.4518],
[-1.7476, -4.3517, 2.1940, ..., 2.7887, -2.8661, -1.7227]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[ 0.2685, -0.4027, -1.1295, ..., 0.8217, -0.2222, -0.2424],
[ 0.0381, -0.3822, -0.7189, ..., 0.9677, 0.1445, -0.5441],
[-0.6859, -0.8524, -0.3424, ..., 0.0420, -0.8124, -0.4506]]])
Query: - English for meetings and negotiation
- Business English
- Writing technical reports and project documentation in English
- Giving presentations and presenting project results in English
- Small talk in English
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[ 1.2058e-04, -1.8215e-03, -6.2866e-03, ..., 5.9967e-03,
4.7278e-04, -2.2278e-03],
[-1.8585e-02, 3.4698e-02, -1.0094e-02, ..., 3.3661e-02,
-1.6975e-03, -3.8719e-03],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[ 0.0313, -0.0008, -0.0267, ..., 0.0361, 0.0152, 0.0070],
[-0.0213, 0.0326, -0.0018, ..., 0.0424, 0.0167, 0.0237],
[ 0.0115, -0.0042, -0.0004, ..., 0.0175, -0.0187, 0.0043]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[ 0.0244, -0.0021, -0.0401, ..., 0.0234, 0.0202, 0.0142],
[-0.0990, 0.0144, -0.0813, ..., 0.0910, 0.0046, 0.0136],
[ 0.0563, -0.0083, 0.0170, ..., 0.0147, -0.0039, 0.0468]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[ 0.0391, 0.1197, 0.0593, ..., 0.0231, 0.0039, -0.1159],
[-0.0680, -0.1030, -0.0972, ..., 0.0979, 0.0400, 0.0159],
[ 0.1614, -0.0885, 0.1279, ..., 0.0574, -0.0375, 0.0772]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[ 0.0391, 0.1006, 0.0807, ..., -0.0056, -0.0814, -0.0469],
[-0.0690, -0.2122, -0.0813, ..., 0.0875, -0.0253, 0.0162],
[ 0.1981, -0.1445, 0.1280, ..., 0.2126, -0.1396, 0.1337]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[ 0.3149, 0.0684, 0.0551, ..., -0.0315, -0.2680, -0.1758],
[ 0.0873, -0.0678, 0.0367, ..., -0.1236, -0.0477, -0.1873],
[ 0.1743, -0.1069, 0.0404, ..., 0.1630, -0.3719, 0.2460]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[ 0.1482, 0.0429, -0.2926, ..., 0.0408, -0.1393, -0.1340],
[ 0.0667, -0.0501, -0.1394, ..., -0.1635, -0.0056, -0.1862],
[ 0.1013, -0.2050, 0.0586, ..., 0.1131, -0.4512, 0.1691]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[-0.0242, 0.1359, -0.3443, ..., 0.0821, -0.1862, -0.2594],
[-0.1797, -0.2146, -0.2852, ..., 0.1633, -0.1051, -0.3462],
[-0.1217, -0.0407, 0.0095, ..., 0.2165, -0.2853, 0.0662]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[ 0.1902, 0.3122, -0.5878, ..., 0.3651, -0.2259, -0.0145],
[-0.0374, -0.2687, -0.1821, ..., 0.3569, 0.0027, -0.2446],
[-0.0803, -0.0203, -0.0285, ..., 0.3798, -0.3200, 0.0410]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[ 1.5441e-02, 6.6660e-01, -4.3476e-01, ..., 2.8019e-01,
-1.6757e-01, -2.2425e-02],
[-1.7333e-01, 1.0427e-01, -4.9863e-02, ..., 4.4838e-01,
-8.1651e-02, -2.5491e-01],
[-2.9103e-01, -2.6212e-02, -2.1815e-01, ..., 1.5624e-01,
-1.9539e-01, 4.0262e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[ 0.4697, 0.5935, -0.1967, ..., 0.4046, 0.2533, 0.2797],
[ 0.2056, 0.0754, -0.0531, ..., 0.1001, 0.1249, -0.2340],
[ 0.2738, -0.1457, -0.3206, ..., 0.0021, -0.0728, 0.7606]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[ 0.0623, 0.3378, 0.0441, ..., 0.6095, 0.1348, -0.1312],
[-0.1329, -0.0769, -0.2032, ..., 0.7440, -0.0989, -0.4077],
[-0.2532, -0.3085, -0.2198, ..., 0.0155, 0.0377, 0.2607]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[ 0.0217, 0.1252, 0.2621, ..., 0.8160, -0.0127, 0.2194],
[ 0.3090, -0.3922, 0.2834, ..., 1.0292, -0.4823, -0.2968],
[-0.1326, -0.5153, 0.1466, ..., 0.0553, 0.0137, 0.5703]]])
13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527],
[-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285],
[-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837],
...,
[ 0.5694, -0.3550, 0.1961, ..., 0.8468, 0.1537, -0.0999],
[ 0.4942, -0.6459, -0.1883, ..., 1.1583, -0.5155, -0.2316],
[-0.2965, -0.4014, 0.2300, ..., 0.0314, -0.3625, 0.5974]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[ 0.5190, -0.4389, 0.3916, ..., 1.0704, 0.0198, -0.5059],
[ 0.5165, -1.0626, -0.3627, ..., 1.5020, -0.4007, -0.7385],
[ 0.1668, -0.6021, -0.0693, ..., 0.4095, -0.3576, 0.4844]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[ 0.8916, -0.8428, 0.2550, ..., 0.8282, 0.0354, -0.1623],
[ 0.5546, -1.4990, -0.2990, ..., 1.6236, -0.5613, -0.7564],
[ 0.2403, -0.7059, -0.7655, ..., 0.5943, -0.6764, 0.9096]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[ 1.2868, -0.9977, 0.4278, ..., 1.2474, -0.1131, -0.3442],
[ 0.5644, -1.7571, -0.2563, ..., 1.5493, -0.1966, -1.3564],
[ 0.1796, -1.0476, -0.5487, ..., 0.5682, -1.1621, 1.6908]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[ 1.2167, -1.5200, 0.6271, ..., 1.2856, 0.1399, -0.6872],
[ 0.4590, -2.1663, 0.2275, ..., 1.5094, -0.0225, -1.6636],
[-0.1634, -1.6032, -0.9321, ..., 0.4087, -0.3562, 1.6152]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[ 1.2063, -1.2869, 1.2999, ..., 1.5388, -0.0898, -0.4696],
[ 0.2874, -1.5974, 0.5060, ..., 1.4580, -0.4713, -1.6956],
[-0.2265, -2.0814, -1.0555, ..., 1.2612, -1.1463, 1.2090]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[ 0.6780, -0.9412, 1.2709, ..., 1.7698, -0.7065, -1.2358],
[ 0.5995, -1.1331, 1.2885, ..., 1.3028, -0.9789, -2.4532],
[-0.1497, -2.5694, -1.4478, ..., 1.0630, -1.4708, 0.9587]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[ 1.0123, -1.1047, 1.3876, ..., 1.0411, -0.5251, -1.6095],
[ 0.7581, -0.7254, 1.4851, ..., 1.0269, -0.2084, -2.9994],
[ 0.4715, -2.7774, -0.9998, ..., 0.6074, -1.3657, 0.7633]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[ 1.3160, -1.0976, 0.8845, ..., 1.3920, -0.5990, -1.0786],
[ 1.1959, -1.1775, 1.3624, ..., 0.8767, -0.2686, -2.5201],
[ 0.5544, -2.9710, -1.1301, ..., 0.9513, -1.4284, 1.4961]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[ 1.5823, -0.4038, 0.2752, ..., 0.8938, -1.0685, -1.1842],
[ 1.4573, -1.0930, 0.5427, ..., 0.3003, -0.3352, -3.7976],
[ 0.1332, -2.6997, -0.5355, ..., 0.4177, -2.1670, 1.3304]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[ 2.8133, -0.2285, -0.0607, ..., 0.2133, -1.5976, -1.4046],
[ 2.1324, -1.3065, -0.2907, ..., 0.0104, 0.0269, -3.8223],
[ 1.0382, -2.2778, -0.8048, ..., 0.5188, -2.5003, 0.6948]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[ 2.9614, 0.2656, -0.0774, ..., -0.0289, -2.4141, -0.3891],
[ 2.3526, -0.9691, -0.7102, ..., -0.3502, 0.0823, -2.9025],
[ 1.2987, -1.8999, -1.0167, ..., 0.4940, -2.6226, 1.5731]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[ 2.1485, 0.8480, 0.4012, ..., -1.2409, -2.0128, -0.4774],
[ 1.5838, -0.4289, -0.0954, ..., -2.2860, -0.3843, -2.5628],
[ 1.4144, -1.4775, -1.3205, ..., 0.5612, -3.1568, 1.6364]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[ 3.0254, 1.7124, -0.5176, ..., -0.7628, -1.6335, -0.6040],
[ 2.0024, -0.2917, -0.6085, ..., -1.8752, -0.5341, -3.1679],
[ 0.4344, -1.4522, -1.4808, ..., 1.1225, -3.3196, 1.9099]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[ 2.5873, 2.6026, 0.0763, ..., -0.7007, -2.2129, -1.4504],
[ 1.6716, -0.6499, -0.4624, ..., -2.3613, -0.8651, -2.9189],
[ 0.3455, -1.6404, -1.4075, ..., 1.5395, -2.9461, 2.2419]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[ 3.6506, 1.4399, 0.0922, ..., -0.8484, -2.0967, -1.1385],
[ 1.8523, -1.2757, -0.4689, ..., -2.6176, -0.6833, -2.7148],
[ 1.4065, -1.7319, -1.4909, ..., 0.7514, -2.8742, 2.2315]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[ 4.6185, 1.3251, -0.4538, ..., -1.1418, -2.3440, -1.9248],
[ 2.4972, -1.5367, -0.7856, ..., -2.7220, -0.9888, -2.9151],
[ 2.1005, -1.4413, -1.8297, ..., 1.2540, -3.4387, 2.7563]]])
30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01,
-7.3406e-01, 1.7867e-01],
[ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01,
-3.7438e+00, 4.4429e-01],
[ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01,
-1.8399e+00, 4.5765e-03],
...,
[ 4.6124e+00, 1.9078e+00, -2.4244e-01, ..., -1.2307e+00,
-2.6607e+00, -1.8701e+00],
[ 3.0010e+00, -1.4325e+00, -9.9351e-01, ..., -2.8237e+00,
-9.9560e-01, -2.4980e+00],
[ 2.2471e+00, -1.6892e+00, -1.9507e+00, ..., 1.3454e+00,
-3.6716e+00, 2.5795e+00]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[ 3.7327, 1.5404, 0.6825, ..., -2.3372, -1.9214, -2.4477],
[ 3.7954, -1.8129, -0.8325, ..., -3.2424, -1.4690, -2.1685],
[ 2.0533, -2.0232, -1.4548, ..., 1.0393, -3.2212, 2.9655]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[ 4.2140, 1.7399, 0.2593, ..., -1.8938, -1.8098, -1.5962],
[ 3.8366, -2.2666, -0.3538, ..., -2.4977, -1.5581, -2.5979],
[ 1.9719, -1.9234, -0.8462, ..., 0.1102, -3.2503, 2.8029]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[ 5.6483, 1.7673, -0.9421, ..., -2.0476, -2.2243, -1.1695],
[ 4.3616, -2.2966, -0.5737, ..., -2.2472, -1.6178, -2.3383],
[ 2.4564, -2.1846, -1.8297, ..., 0.2375, -3.6557, 3.6393]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[ 5.8662, 2.2266, -1.0633, ..., -2.5857, -2.3328, -0.9072],
[ 4.5261, -2.9667, -1.2131, ..., -2.4600, -2.3163, -1.7152],
[ 3.0817, -2.1391, -1.2149, ..., 0.3329, -3.0375, 3.8526]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[ 5.7402, 2.5022, -1.5296, ..., -2.7095, -2.3954, -1.3681],
[ 5.0700, -3.3659, -1.9134, ..., -2.8867, -2.6195, -1.9273],
[ 2.6516, -2.8117, -1.6265, ..., 0.0924, -3.4692, 3.1988]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[ 5.7820, 3.0155, -1.8956, ..., -2.4787, -2.6344, -1.2151],
[ 4.0808, -3.6748, -2.1742, ..., -2.6918, -2.2794, -2.7939],
[ 2.2751, -2.3297, -2.5446, ..., -1.3802, -3.7913, 2.4115]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[ 5.5040, 3.1839, -2.8336, ..., -4.0324, -3.4884, -2.0793],
[ 3.9983, -3.6839, -1.5382, ..., -2.9435, -2.7594, -2.7126],
[ 2.8967, -1.8728, -2.6846, ..., -1.7451, -3.1434, 2.6663]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[ 4.6393, 4.8868, -2.9311, ..., -4.2037, -3.5214, -2.4560],
[ 3.1115, -2.3124, -3.3956, ..., -2.8428, -2.7328, -3.9740],
[ 3.2790, -1.5665, -2.2524, ..., -3.7352, -2.6804, 3.0432]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[ 5.4348, 6.8611, -1.6130, ..., -5.1784, -4.6239, -1.2114],
[ 5.0587, -1.0823, -3.7525, ..., -4.1044, -3.1685, -3.9172],
[ 4.7822, -1.5043, -1.9351, ..., -2.6796, -3.2598, 2.0049]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[ 1.5584, 1.7198, -0.0031, ..., -0.3266, -0.3783, 0.2575],
[ 1.7250, 0.4386, -0.9148, ..., -0.3658, 0.2130, -0.3298],
[ 0.6263, -0.2431, -0.6866, ..., -0.7611, -0.9270, -0.0489]]])
Query: - Die Studierenden stellen die Arbeit vor, die sie in ihrem Projekt durchgeführt haben.
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[ 2.3972e-02, -2.0278e-04, -1.3125e-04, ..., -3.5553e-02,
-3.9825e-02, 1.7090e-03],
[ 5.7373e-03, 8.8644e-04, 3.9902e-03, ..., -8.1444e-04,
-2.6822e-04, 4.5359e-05],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[ 0.0942, -0.0684, 0.0525, ..., -0.1325, -0.0753, 0.0292],
[ 0.0020, -0.0078, -0.0159, ..., 0.0185, -0.0172, -0.0242],
[ 0.0056, -0.0070, -0.0281, ..., 0.0168, -0.0234, -0.0285]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[ 0.1975, -0.0757, 0.0454, ..., -0.2290, -0.0731, -0.0736],
[ 0.0379, -0.0098, 0.0064, ..., 0.0087, -0.0241, -0.0250],
[ 0.0104, -0.0176, -0.0068, ..., 0.0071, -0.0385, 0.0013]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[ 0.2978, -0.0408, 0.2141, ..., -0.1904, -0.0748, -0.1334],
[ 0.0495, 0.0090, 0.0351, ..., 0.0188, -0.0337, -0.0923],
[ 0.0221, -0.0034, 0.0301, ..., -0.0043, -0.0591, -0.0369]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[ 0.1539, 0.0518, 0.1163, ..., -0.1123, -0.1705, -0.1125],
[ 0.0482, 0.0530, 0.0293, ..., -0.0515, -0.1529, 0.0322],
[-0.0226, -0.1088, 0.0641, ..., -0.0469, -0.1662, 0.0887]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[ 0.0963, 0.1853, -0.0544, ..., -0.2151, -0.2376, -0.3057],
[-0.0639, 0.1178, 0.0639, ..., -0.1381, -0.1205, -0.0168],
[-0.0578, -0.0821, -0.0015, ..., -0.0959, -0.1038, 0.0429]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[ 0.1997, 0.3272, -0.0274, ..., -0.3548, -0.0864, -0.2037],
[-0.1954, 0.0645, 0.1223, ..., -0.1860, -0.3617, 0.1184],
[-0.2856, -0.0031, 0.5695, ..., -0.3771, -0.2718, 0.2867]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[ 0.0953, 0.4915, -0.2749, ..., -0.5113, -0.2098, -0.1210],
[-0.1724, -0.0754, 0.1679, ..., -0.1282, -0.3733, 0.0744],
[-1.9804, -0.9961, -0.4632, ..., -0.1531, -0.5983, 1.2083]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[-0.0353, 0.5249, -0.2622, ..., -0.6903, -0.0917, -0.2150],
[-0.1679, -0.1825, 0.0741, ..., -0.4111, -0.0890, 0.1504],
[-2.0497, -0.8909, -0.4648, ..., -0.1490, -0.6804, 1.1916]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[-1.5614e-01, 4.5090e-01, -2.6275e-01, ..., -1.0618e+00,
-2.4097e-01, -2.2167e-02],
[-5.9119e-01, -6.4169e-01, -1.8558e-01, ..., -3.7251e-01,
-1.2317e-01, 4.2216e-01],
[-2.0468e+00, -9.2916e-01, -4.7801e-01, ..., -1.4721e-01,
-7.2949e-01, 1.1741e+00]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[ 0.1247, 0.5215, 0.0558, ..., -1.5358, -0.3021, -0.3601],
[-0.2007, -0.2717, -0.2405, ..., -0.2888, -0.1204, 0.4289],
[-2.0412, -0.9054, -0.4740, ..., -0.1994, -0.6833, 1.1523]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[ 0.0873, 0.6526, 0.1854, ..., -1.2423, -0.3979, -0.4376],
[-0.4590, -0.3074, -0.1443, ..., -0.0594, -0.2804, 0.2656],
[-2.0195, -0.8637, -0.3905, ..., -0.2298, -0.6958, 1.2480]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[ 0.3236, 0.8572, -0.1611, ..., -1.1201, -0.5579, -0.6312],
[-0.3309, 0.0478, 0.0214, ..., -0.1267, -0.3023, 0.6680],
[-2.0272, -0.8741, -0.3121, ..., -0.2877, -0.6839, 1.2252]]])
13: tensor([[[ 2.5794e-01, -1.0105e+00, -5.3911e-01, ..., -3.4954e-02,
-2.0185e-01, 4.5267e-01],
[-6.4005e-01, -7.8039e-01, 1.3922e-03, ..., 1.2504e-01,
-3.1000e-01, 1.2849e-01],
[-6.0393e-02, -9.7953e-01, 4.2703e-01, ..., 1.7716e-01,
-6.6826e-01, -4.8370e-01],
...,
[ 3.2609e-01, 7.7901e-01, -3.4039e-01, ..., -1.0664e+00,
-6.5140e-01, -3.1590e-01],
[-3.1236e-01, -1.2953e-01, 2.5993e-01, ..., 7.1964e-02,
-6.1743e-01, 7.3488e-01],
[-1.8868e+00, -9.4127e-01, -2.3666e-01, ..., -2.2687e-01,
-7.0906e-01, 1.2852e+00]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[-0.0063, 0.4070, -0.1985, ..., -1.3534, -0.9196, 0.1621],
[ 0.0634, 0.0338, 0.3574, ..., -0.2156, -0.5557, 0.3795],
[-1.7913, -0.9065, -0.1448, ..., -0.2811, -0.7578, 1.2812]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[ 0.1132, 0.1546, -0.2348, ..., -1.4174, -0.4448, 0.1279],
[-0.4831, -0.0551, 0.0268, ..., -0.5099, -0.3765, 0.5799],
[-1.7238, -0.9412, -0.0509, ..., -0.1061, -0.6850, 1.4223]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[-0.3256, -0.0484, -0.9621, ..., -2.2794, -0.3627, 0.6501],
[-0.7240, 0.4822, -0.0807, ..., -0.7488, -0.3877, 0.6784],
[-1.6536, -0.9451, 0.0100, ..., -0.1007, -0.6550, 1.4749]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[-0.3827, 0.0736, -0.9467, ..., -2.2903, -0.0651, 0.3620],
[-0.5899, 0.8027, 0.0267, ..., -0.9169, -0.2217, 0.0374],
[-1.5875, -0.8095, 0.1168, ..., -0.0653, -0.8495, 1.5153]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[-0.2091, -0.0582, -1.5287, ..., -2.4366, -0.2942, 0.3135],
[-1.3323, 0.7136, 0.2691, ..., -0.9239, -0.6072, -0.8587],
[-1.5648, -0.7221, 0.1520, ..., -0.1347, -0.8408, 1.5851]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[-0.3700, 0.0790, -1.6916, ..., -2.7165, -0.1098, -0.3699],
[-1.4807, 0.7789, -0.0879, ..., -0.9079, -0.7372, -0.4925],
[-1.7380, -0.7839, 0.3383, ..., 0.0252, -0.8616, 1.5790]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[-0.7780, 0.3612, -2.2245, ..., -2.9293, 0.5101, 0.0365],
[-2.2266, 1.1157, 0.3869, ..., -1.5855, -0.5591, -0.5773],
[-1.7055, -0.7155, 0.3722, ..., 0.0491, -0.8297, 1.5633]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[-0.8434, 0.2925, -2.2833, ..., -3.0583, 0.0829, -0.1878],
[-1.6671, 1.0198, 0.6963, ..., -1.3909, -1.2599, -0.6421],
[-1.5209, -0.5938, 0.5010, ..., 0.1689, -0.7603, 1.3671]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[-0.9216, 0.6859, -2.1008, ..., -3.0977, 0.2049, -0.4144],
[-2.2958, 1.2827, 1.3521, ..., -1.4920, -1.9741, 0.3173],
[-1.4158, -0.6437, 0.4720, ..., 0.0322, -0.6084, 1.2704]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[-1.3139, 0.8315, -2.2472, ..., -2.9804, -0.0820, -0.5632],
[-2.6016, 1.3112, 0.6244, ..., -1.5710, -1.9640, 0.2564],
[-1.4321, -0.5820, 0.4312, ..., 0.0726, -0.7240, 1.1261]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[-1.1473, 0.9544, -1.8073, ..., -3.3701, 0.6021, -1.1648],
[-2.6566, 1.9006, 0.3498, ..., -2.6506, -1.4260, -0.4334],
[-1.3249, -0.3637, 0.4565, ..., 0.1738, -0.5837, 1.0818]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[-0.5326, 1.3658, -1.6635, ..., -3.6098, 1.4978, -1.2271],
[-3.0376, 2.0532, -0.2700, ..., -3.0612, -1.4157, -1.8005],
[-1.2805, -0.2800, 0.3460, ..., 0.3102, -0.6308, 0.9620]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[-0.3062, 1.1061, -2.0798, ..., -3.6072, 0.9193, -0.9779],
[-2.2668, 2.0113, -0.3437, ..., -1.7175, -2.2222, -2.1491],
[-1.3929, -0.2999, 0.3220, ..., 0.3445, -0.6731, 0.8930]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[-0.7812, 1.2774, -2.6497, ..., -4.1146, 1.3070, -1.0650],
[-1.3812, 2.0349, 0.1347, ..., -1.4919, -0.5718, -2.7548],
[-1.3175, -0.1759, 0.3085, ..., 0.2312, -0.6923, 0.7700]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[-0.3616, 2.4763, -2.3346, ..., -3.7072, 0.5927, -1.0813],
[-0.7618, 2.6444, 0.0855, ..., -2.0002, -0.7370, -3.6717],
[-1.2798, -0.1835, 0.2567, ..., 0.2055, -0.7821, 0.6385]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[ 0.3123, 2.1778, -2.9448, ..., -4.2195, 0.4846, -1.4622],
[-0.7248, 3.6578, -0.6556, ..., -3.3541, -2.3005, -5.0432],
[-1.2628, -0.1232, 0.2391, ..., 0.1820, -0.7166, 0.5295]]])
30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01,
-7.3406e-01, 1.7867e-01],
[ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01,
-3.7438e+00, 4.4429e-01],
[ 5.5185e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01,
-1.8399e+00, 4.5760e-03],
...,
[ 2.7111e-01, 2.8599e+00, -3.5875e+00, ..., -4.3285e+00,
6.8919e-01, -2.0124e+00],
[-7.9051e-01, 5.0638e+00, -1.2121e+00, ..., -3.0400e+00,
-2.0513e+00, -5.6133e+00],
[-1.2363e+00, -1.1085e-01, 1.3271e-01, ..., 1.0423e-01,
-7.2271e-01, 4.3488e-01]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[ 0.6516, 2.7482, -3.5039, ..., -4.9964, 1.5581, -1.8802],
[ 0.2962, 6.0264, -0.3587, ..., -3.2570, -1.2621, -5.2897],
[-1.1365, -0.0761, 0.0758, ..., -0.0166, -0.6873, 0.4107]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[ 0.6485, 2.5032, -4.0874, ..., -5.8010, 1.6875, -1.3162],
[ 0.3994, 6.6089, -0.3857, ..., -4.0690, -1.1263, -5.1760],
[-1.1053, 0.0345, -0.0110, ..., -0.0714, -0.6341, 0.3062]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[ 0.6526, 1.9058, -3.4074, ..., -5.8650, 1.8857, -0.0278],
[-0.1454, 7.6247, 0.7713, ..., -5.3342, -0.5902, -4.7405],
[-1.3517, -0.0644, 0.2302, ..., -0.2760, -0.2542, 0.3805]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[ 0.4809, 2.1281, -3.0718, ..., -5.6935, 1.4950, -0.1685],
[-0.0746, 7.8515, 1.0757, ..., -4.7387, -1.0454, -5.0983],
[-1.6474, -0.2032, 0.3310, ..., -0.3601, -0.1654, 0.2689]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[ 0.8881, 2.5851, -3.6456, ..., -6.1885, 1.2963, -1.5362],
[ 0.9818, 7.7238, 0.6269, ..., -6.1361, -0.3095, -5.6264],
[-1.3262, -0.0615, 0.5307, ..., -0.4797, -0.2088, 0.3896]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[ 0.7461, 1.4271, -4.1591, ..., -5.8778, 1.1293, -2.3668],
[ 1.8087, 6.6289, 0.4276, ..., -5.8458, -0.7458, -5.7743],
[-1.3178, 0.1217, 0.1664, ..., -0.3842, -0.4523, 0.6429]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[ 1.1313, 2.2636, -3.6805, ..., -5.2630, 0.4008, -1.5084],
[ 1.7066, 7.6131, 0.4980, ..., -4.8408, -1.1042, -5.4813],
[-1.3259, 0.5897, 0.4915, ..., -0.3650, -0.5739, 0.4091]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[ 1.1155, 1.5973, -3.6675, ..., -5.4247, 1.2067, -3.4170],
[ 0.9700, 9.6785, 1.0319, ..., -6.0327, -1.6970, -3.8280],
[-2.1905, -0.0180, 0.7750, ..., -0.8254, 1.3877, -0.1687]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[ 0.9962, 1.9322, -4.1520, ..., -3.4251, -1.8255, -2.3749],
[ 0.6422, 8.6550, 1.7368, ..., -4.1500, -3.3253, -3.5871],
[-1.3970, 0.3053, 0.2171, ..., -0.6177, 0.9071, -0.9128]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[-0.1141, 0.0607, -2.0946, ..., -1.1622, -0.9038, -0.9474],
[-0.5834, 0.9868, 0.2401, ..., -0.2301, -0.6555, -0.6881],
[-0.0633, 0.0692, 0.2187, ..., -0.2508, -0.0306, -0.2867]]])
Query: - Mengenlehre
- Relationen
- Funktionen
- Aussagenlogik
- Beweismethoden
- Grundlagen der Graphentheorie
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[ 1.6098e-02, 3.4760e-02, -9.1095e-03, ..., -1.0216e-02,
-1.4565e-02, 3.5706e-03],
[ 7.6437e-04, -8.6899e-03, 1.6922e-02, ..., 2.3422e-02,
3.4904e-03, 6.2904e-03],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[ 0.0461, 0.0897, 0.0064, ..., -0.0292, -0.0642, 0.0472],
[ 0.0063, -0.0087, -0.0298, ..., 0.0878, -0.1110, 0.0593],
[ 0.0140, -0.0115, -0.0091, ..., 0.0296, -0.0305, 0.0100]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[ 0.1179, 0.1033, 0.1548, ..., -0.1027, 0.0025, -0.1722],
[ 0.0735, -0.0360, -0.1164, ..., 0.0476, -0.0777, 0.1082],
[ 0.0518, 0.0026, -0.0009, ..., 0.0316, -0.0303, 0.0231]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[ 0.1470, 0.1515, 0.3102, ..., -0.1093, 0.0046, -0.0822],
[ 0.0538, 0.0941, 0.1162, ..., -0.1746, -0.1119, 0.1755],
[ 0.1098, -0.0380, 0.0009, ..., -0.0116, -0.0571, 0.0317]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[ 0.1407, 0.2869, 0.4148, ..., -0.0755, 0.0296, -0.0737],
[-0.1282, 0.3680, 0.1338, ..., -0.1897, -0.0071, -0.1650],
[ 0.1018, 0.0188, 0.0054, ..., 0.0452, -0.1156, 0.1276]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[ 0.0659, 0.2910, 0.3964, ..., -0.2146, -0.0567, -0.0810],
[-0.1804, 0.2758, 0.1489, ..., -0.0156, 0.1502, -0.2088],
[ 0.1816, -0.0108, -0.0123, ..., -0.0262, -0.1061, 0.2227]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[ 0.0014, 0.2429, 0.3601, ..., -0.4425, -0.1261, 0.0690],
[ 0.0360, 0.1479, 0.2533, ..., -0.0837, 0.3390, -0.0169],
[ 0.2119, -0.1909, 0.0445, ..., -0.1581, -0.1025, 0.4809]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[ 0.0115, 0.1401, 0.4832, ..., -0.3560, -0.0651, 0.2497],
[-0.1056, 0.2176, 0.3350, ..., -0.1631, 0.6191, 0.1026],
[ 0.2731, -0.0777, 0.4990, ..., -0.0329, -0.1890, 0.5276]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[-0.0575, 0.2244, 0.4655, ..., -0.5955, 0.3221, 0.1557],
[ 0.1143, 0.9447, 0.3222, ..., -0.4827, 0.8724, 0.2751],
[ 0.3513, -0.1024, 0.3001, ..., -0.0747, -0.3906, 0.4521]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[-4.9255e-01, 4.1581e-01, 3.0628e-01, ..., -5.5830e-01,
3.9320e-01, 1.6156e-01],
[-1.3316e-01, 7.8164e-01, 3.8502e-01, ..., -5.7117e-01,
9.8560e-01, 3.2164e-01],
[-1.8581e-01, -3.7488e-02, 4.4190e-01, ..., 1.1356e-01,
-2.8790e-01, 4.0804e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[-0.4630, 0.3650, 0.4395, ..., -0.6365, 0.3474, 0.3672],
[-0.3170, 0.5936, 0.3499, ..., -0.4268, 0.6762, 0.3724],
[ 0.2064, -0.2871, 0.1320, ..., 0.0526, -0.6448, 0.4338]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[-0.5278, 0.3602, 0.1965, ..., -0.8570, 0.4485, 0.4128],
[-0.4668, 0.3502, 0.2331, ..., -0.2967, 0.9081, 0.3723],
[ 0.3500, -0.4878, 0.1879, ..., 0.1599, -0.7058, 0.5221]]])
12: tensor([[[ 1.8037e-01, -9.2031e-01, -5.0948e-01, ..., -7.4439e-02,
-1.1742e-01, 3.8180e-01],
[-4.3383e-01, -7.3806e-01, 8.4982e-02, ..., -2.9242e-01,
-6.6474e-01, 2.4805e-01],
[-2.2383e-01, -8.7245e-01, 1.6042e-01, ..., 4.1013e-01,
-5.6985e-01, -4.7507e-01],
...,
[-5.0083e-01, 5.9027e-01, -5.6436e-04, ..., -6.3920e-01,
1.9974e-01, 5.9026e-01],
[-5.4544e-01, 5.8127e-02, 2.0236e-01, ..., -6.4943e-01,
5.5445e-01, 3.7074e-01],
[ 3.9800e-01, -7.1451e-01, 1.2419e-01, ..., 2.4037e-01,
-5.4010e-01, 4.5544e-01]]])
13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527],
[-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285],
[-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837],
...,
[-0.1448, 0.5132, 0.1092, ..., -0.2989, 0.0790, 0.8673],
[-0.3571, 0.2656, 0.0215, ..., -0.5430, 0.0725, 0.6909],
[ 0.2471, -0.6484, 0.1008, ..., -0.0337, -0.9814, 0.8171]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[ 0.1374, 0.3741, 0.0261, ..., -0.5894, 0.1455, 0.9694],
[-0.3450, 0.4075, -0.2621, ..., -0.7971, -0.1101, 0.2491],
[ 0.0423, -0.6716, 0.0594, ..., 0.2826, -0.7657, 0.5648]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[ 0.1013, 0.1055, -0.0942, ..., -0.9727, 0.0183, 0.7974],
[-0.0940, 0.0345, -0.2147, ..., -0.7905, -0.5264, 0.2794],
[ 0.4020, -0.9309, -0.3201, ..., 0.8048, -0.9418, 0.4986]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[-0.3127, -0.1287, 0.3492, ..., -1.0157, 0.1762, 0.8593],
[ 0.0819, -0.3857, -0.3485, ..., -1.0936, -0.3150, -0.1172],
[ 0.1009, -1.2804, -0.4555, ..., 0.6882, -1.3393, 0.9782]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[-0.2003, -0.0884, 0.6824, ..., -0.7103, -0.1149, 0.6836],
[ 0.0762, -0.8759, -0.0763, ..., -1.4364, 0.0894, -0.2905],
[ 0.0365, -1.3837, -0.0618, ..., 0.5090, -1.4337, 0.8130]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[ 0.1856, 0.2429, 1.4132, ..., -1.0244, -0.1345, 0.8680],
[ 0.8180, -0.8104, 0.3273, ..., -1.8266, 0.1171, -0.8493],
[ 0.2014, -1.3486, -0.2694, ..., 0.7981, -2.1515, 0.5188]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[ 0.1338, 0.4544, 1.6870, ..., -0.8420, -0.3116, 0.9296],
[ 0.5088, -0.6094, 0.2773, ..., -2.0019, -0.0275, -0.9354],
[-0.0840, -1.9257, -1.2878, ..., 0.8514, -1.9142, 0.2702]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[-0.0244, 0.4743, 1.9273, ..., -0.9234, -0.8093, 1.3592],
[ 0.4697, -0.4573, 0.3385, ..., -2.0901, 0.0126, -1.2972],
[ 0.3864, -2.0689, -0.5691, ..., 0.7240, -1.6727, -0.0374]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[-0.1854, 0.8582, 2.3229, ..., -1.3185, -0.7054, 1.5230],
[ 0.5405, -0.8896, 0.4511, ..., -1.9539, 0.3569, -1.4957],
[ 0.4392, -2.3813, -0.4033, ..., 0.6854, -1.7337, 0.1820]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[-0.1151, 0.4913, 2.5855, ..., -1.5962, -1.0009, 0.8460],
[ 0.9764, -0.8184, 0.3044, ..., -1.5943, 0.5501, -1.8421],
[-0.0815, -2.3605, 0.1892, ..., 0.9575, -1.6534, 0.9086]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[-0.0037, 0.5611, 2.7174, ..., -1.6061, -0.8740, 0.3373],
[ 1.3722, -0.6920, 0.2908, ..., -2.2945, 0.2150, -1.6304],
[-0.2611, -1.6973, 0.0835, ..., 0.9255, -1.5313, 0.9388]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[ 0.9761, 1.7388, 2.5815, ..., -2.5067, -0.3804, 0.5286],
[ 1.8137, -0.9440, 0.1030, ..., -3.7492, 1.1473, -1.2198],
[-0.1430, -1.4137, 0.6602, ..., 1.4071, -1.1148, 0.9332]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[ 1.2025, 2.0662, 3.5233, ..., -2.2425, -0.0682, 1.2461],
[ 1.9762, -0.8743, 0.0719, ..., -4.4537, 1.7556, -0.6400],
[ 0.5153, -1.4775, 0.6908, ..., 1.0385, -0.9582, 0.6929]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[ 0.9790, 1.1878, 3.8949, ..., -2.2404, -0.2371, 0.5656],
[ 1.9021, -1.9184, 0.0198, ..., -4.0369, 2.4258, -0.7455],
[ 0.0411, -1.7036, 0.0761, ..., 0.9444, -0.8800, 1.0136]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[ 1.4235, 1.7583, 4.3152, ..., -2.8914, 0.3722, 0.7043],
[ 1.5440, -2.1802, -0.1125, ..., -4.3676, 2.9829, -0.8759],
[-0.5102, -2.3482, 0.5267, ..., 1.5152, -0.0589, 1.1481]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[ 1.1074, 1.8339, 4.5474, ..., -2.8203, 0.4948, 0.9853],
[ 1.3799, -2.3346, -0.5102, ..., -4.0409, 3.3346, -0.8523],
[ 0.0152, -2.5783, 0.8893, ..., 1.9932, -0.2732, 0.8604]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[ 0.6564, 2.4990, 4.9982, ..., -2.3118, 1.4917, 1.0934],
[ 1.7551, -3.3136, -1.1686, ..., -3.6447, 3.3586, -1.4456],
[ 0.5340, -2.7223, 0.7235, ..., 2.1678, -0.8151, 0.6597]]])
30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01,
-7.3406e-01, 1.7867e-01],
[ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01,
-3.7438e+00, 4.4429e-01],
[ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01,
-1.8399e+00, 4.5765e-03],
...,
[ 6.3199e-01, 3.2741e+00, 5.0358e+00, ..., -2.0807e+00,
8.6799e-01, 1.7870e+00],
[ 1.7479e+00, -3.1582e+00, -1.7325e+00, ..., -3.9119e+00,
3.2194e+00, -1.0853e+00],
[ 9.5036e-01, -1.9371e+00, 6.6727e-01, ..., 2.2617e+00,
-6.4823e-01, 2.5810e-01]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[ 0.5796, 4.6916, 4.9940, ..., -1.2110, 0.5878, 1.0981],
[ 1.8922, -3.3787, -1.4038, ..., -4.0390, 3.4836, -0.2285],
[ 0.7623, -1.5991, 2.0060, ..., 1.4223, -0.5137, 0.7858]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[ 0.3747, 4.6985, 4.9862, ..., -0.9676, 1.3786, 1.1992],
[ 1.7156, -2.8694, -1.2231, ..., -5.2842, 3.6856, -0.4775],
[-0.1569, -1.8885, 1.9445, ..., 0.9040, -0.5789, 0.1705]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[ 0.0974, 4.7795, 4.6941, ..., -1.4672, 1.0888, 0.9218],
[ 1.7496, -2.9414, -1.3257, ..., -5.6713, 4.6880, 0.1936],
[ 0.2487, -0.1877, 1.9572, ..., 1.4479, -0.0331, 1.1446]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[ 0.9262, 4.7050, 4.7234, ..., -1.7600, 1.1052, 1.0700],
[ 1.5848, -2.8924, -1.5291, ..., -6.0260, 4.0944, 0.2600],
[ 0.1654, -0.2146, 2.8077, ..., 0.7136, 0.5567, 1.3989]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[ 1.7111, 4.6622, 5.8766, ..., -0.8909, 0.3711, 1.3037],
[ 1.7620, -3.4936, -1.7577, ..., -5.6797, 4.7846, 0.4596],
[ 0.1559, -0.6734, 2.4810, ..., 0.4417, 0.9362, 0.5252]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[ 1.3428, 5.6012, 4.6460, ..., -1.2475, -0.8683, 1.3372],
[ 2.2800, -3.6267, -2.0918, ..., -4.6885, 4.4251, 0.2924],
[ 0.1161, -1.0896, 3.3152, ..., 0.4793, 1.0109, -0.2065]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[ 1.8976, 5.1624, 4.0970, ..., -2.3888, -2.4494, -0.3276],
[ 2.4674, -3.2610, -0.7130, ..., -4.8163, 4.2108, 0.4165],
[-0.0300, -1.5933, 4.0204, ..., 0.0235, 1.5836, -1.2533]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[ 2.2090, 3.7503, 5.4528, ..., -3.8951, -3.4449, -0.7205],
[ 2.7076, -2.9306, -1.5168, ..., -4.5041, 3.2534, -0.3942],
[ 0.4526, -1.4406, 4.1080, ..., -1.5814, 2.4001, -1.4191]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[ 2.9123, 3.9260, 7.2365, ..., -3.5860, -3.0253, -1.6691],
[ 2.5081, -4.4568, -1.9197, ..., -2.6698, 2.3524, 0.3838],
[ 1.3931, -1.1944, 5.3884, ..., -0.3634, 1.1472, -3.4749]]])
40: tensor([[[-9.8127e-01, -8.8043e-01, -4.7547e-01, ..., -3.7186e-01,
-1.7917e-01, -4.0121e-01],
[ 9.8056e-02, -3.6278e-01, 1.9399e-01, ..., -1.1206e+00,
-2.0881e+00, -1.0290e+00],
[-2.7625e-01, 5.1922e-01, -1.0364e+00, ..., -4.3238e-01,
-5.4167e-01, 2.5382e-01],
...,
[ 6.3622e-01, -8.2315e-03, 1.3320e+00, ..., -2.0341e-01,
-2.1952e-01, 1.7925e-04],
[ 5.0078e-01, -3.7702e-01, -1.1084e+00, ..., -1.1617e-03,
7.2730e-01, 3.2410e-01],
[-3.5432e-01, -4.9268e-01, 1.8404e-01, ..., -3.3481e-01,
-4.5222e-01, -1.0299e+00]]])
Query: - Zahlentheorie (Primzahlen, Primzahlfaktorisierung, Eulersche Phi-Funktion, Stellenwert-systeme, Zahlensyste-
me mit beliebigen Basen, duale Basis, Zahlendarstellung im Computer)
- Mathematische Grundlagen der Kryptographie (erweiterter Euklidischer Algorithmus, modulare Arithmetik,
Restklassenringe, Invertierbarkeit bzgl. der Multiplika-tion in Restklassenringen, Satz von Fermat-Euler)
- Grundlagen der linearen Algebra und Anwendungen in der Informatik (Lineare Gleichungssysteme, Gauß-
Algorithmus, der Rn als Vektorraum, Vektorrechnung, Skalarprodukt, Kreuzprodukt, Geraden, Ebenen, Ma-
trizen, Drehmatrizen, Spiegelungen, symmetrische Matrizen, inverse Matrix, Determinanten, Eigenwerte)
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[-1.5388e-02, -1.3588e-02, -2.2507e-02, ..., 9.8495e-03,
1.1246e-02, -1.7776e-03],
[-1.3863e-02, 2.3422e-03, 2.1393e-02, ..., -3.9444e-03,
1.2177e-02, 7.6714e-03],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[-0.0425, -0.0036, -0.0008, ..., -0.0131, 0.0063, 0.0406],
[-0.0194, -0.0221, 0.0541, ..., -0.0030, 0.0485, 0.0735],
[ 0.0021, -0.0211, -0.0161, ..., 0.0431, 0.0110, -0.0072]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[-0.0880, 0.0127, 0.0533, ..., 0.0127, -0.0227, 0.0236],
[-0.0637, 0.0377, 0.0661, ..., -0.0123, 0.0416, 0.1095],
[ 0.0564, -0.0149, -0.0280, ..., 0.0115, 0.0094, 0.0064]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[-0.1779, 0.2426, 0.0208, ..., 0.1346, 0.0890, 0.0124],
[-0.1130, 0.0345, 0.1217, ..., 0.0141, 0.1236, 0.1026],
[ 0.1674, -0.0143, 0.0490, ..., 0.0311, 0.0629, 0.0974]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[ 0.0120, 0.3501, 0.0718, ..., 0.1448, 0.1026, -0.1031],
[-0.1880, -0.0301, 0.1600, ..., 0.0536, 0.1607, 0.1117],
[ 0.1381, -0.0777, 0.0629, ..., 0.0262, 0.0447, 0.1854]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[-0.0039, 0.3987, 0.1563, ..., 0.2051, -0.0120, -0.1093],
[-0.0787, -0.0726, 0.1560, ..., -0.0223, 0.2099, 0.1925],
[ 0.1694, 0.0217, 0.0229, ..., -0.1793, 0.1400, 0.1569]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[-0.0206, 0.5548, 0.4449, ..., -0.0593, -0.0605, -0.1844],
[-0.1833, 0.0138, 0.1977, ..., 0.2960, 0.6368, 0.3367],
[ 0.2714, -0.0307, 0.2515, ..., -0.1149, 0.3557, 0.2931]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[ 0.1499, 0.6762, 0.4034, ..., -0.0936, -0.0659, -0.1602],
[-0.0383, 0.1522, 0.3308, ..., 0.2480, 0.5520, 0.3691],
[ 0.3236, 0.0194, 0.4616, ..., -0.1243, 0.3479, 0.4950]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[ 0.1538, 0.5911, 0.5182, ..., -0.2484, 0.1955, -0.2598],
[ 0.1909, 0.2552, 0.0932, ..., 0.2844, 0.5339, 0.4809],
[ 0.1565, -0.1873, 0.3460, ..., -0.4245, 0.1199, 0.5905]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[-1.4844e-01, 6.2345e-01, 6.1989e-01, ..., -3.8166e-01,
-4.6247e-02, -8.2174e-01],
[ 2.3174e-02, 4.8192e-01, 3.2863e-01, ..., 2.3095e-01,
2.4435e-01, 3.0075e-01],
[-2.6265e-02, -3.4406e-01, 5.5148e-01, ..., -3.5735e-01,
1.6445e-01, 6.1662e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[-0.3000, 0.5072, 0.9565, ..., -0.3663, -0.1198, -0.6535],
[ 0.0903, 0.2293, 0.2575, ..., 0.5276, 0.2150, 0.3583],
[ 0.3594, -0.4312, 0.4118, ..., -0.2076, -0.0069, 0.5093]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[-0.1555, 0.3389, 1.0309, ..., -0.3849, -0.0063, -0.3837],
[-0.0603, 0.0691, 0.0696, ..., 0.5603, 0.2186, 0.1046],
[ 0.1390, -0.4520, 0.1396, ..., 0.2250, -0.3222, 0.4848]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[-0.3566, 0.3100, 1.0037, ..., -0.3337, 0.0137, -0.6922],
[ 0.1118, -0.0498, 0.0797, ..., 0.3182, 0.4296, 0.0974],
[ 0.2951, -0.6996, 0.1991, ..., 0.2051, -0.5127, 0.6712]]])
13: tensor([[[ 2.5794e-01, -1.0105e+00, -5.3911e-01, ..., -3.4954e-02,
-2.0185e-01, 4.5267e-01],
[-6.4005e-01, -7.8039e-01, 1.3922e-03, ..., 1.2504e-01,
-3.1000e-01, 1.2849e-01],
[-6.0393e-02, -9.7953e-01, 4.2703e-01, ..., 1.7716e-01,
-6.6826e-01, -4.8370e-01],
...,
[-4.9050e-01, 6.2136e-01, 5.6369e-01, ..., -2.3517e-01,
1.0785e-01, -3.7142e-01],
[-9.8571e-05, -2.0854e-01, -4.3171e-01, ..., 5.7715e-01,
2.0626e-02, 2.4608e-01],
[ 7.7166e-02, -5.4520e-01, -1.9590e-02, ..., -2.1383e-01,
-7.7139e-01, 6.6933e-01]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[-0.6498, 0.5817, 0.6063, ..., -0.4602, 0.2738, -0.4835],
[ 0.5600, -0.4776, -0.5025, ..., 0.4812, 0.2227, -0.0529],
[ 0.4021, -0.6647, -0.0660, ..., 0.1511, -0.5907, 0.3169]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[-0.3794, 0.3057, 0.7870, ..., -0.4710, 0.6219, -1.0108],
[ 0.3144, -0.6890, -0.9278, ..., 0.7924, 0.2302, -0.4770],
[ 0.3063, -0.9788, -0.4742, ..., 0.6049, -0.8736, 0.3197]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[-0.8253, -0.1352, 0.8229, ..., -0.3706, 0.9658, -1.2179],
[ 0.0272, -0.9597, -1.1676, ..., 0.5273, 0.2843, -0.0565],
[-0.1403, -1.5178, -0.1782, ..., -0.0820, -1.0038, 0.6354]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[-0.9486, 0.4946, 1.4737, ..., 0.1063, 0.7247, -1.0244],
[-0.4388, -1.0732, -1.0818, ..., 0.4260, -0.2079, -0.1658],
[-0.6699, -1.5838, -0.0542, ..., -0.1229, -1.0645, 0.5629]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[-1.0343, 0.2473, 1.1896, ..., 0.4621, 1.0434, -1.1739],
[-0.4544, -0.7924, -1.5910, ..., 0.1033, -0.3708, -0.6148],
[-1.0590, -1.6255, 0.2158, ..., 0.0621, -1.3911, 0.4270]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[-0.5165, -0.3790, 1.1771, ..., 0.4009, 0.9128, -1.3922],
[-0.3657, -1.3070, -2.0009, ..., -0.5340, -0.3547, -0.0410],
[-0.7591, -2.0628, -0.5147, ..., 0.3517, -1.1582, 0.4036]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[-0.6691, -0.2565, 1.2420, ..., 0.6339, 1.0299, -0.7646],
[-0.6468, -1.2815, -2.1650, ..., -0.8099, 0.2815, -0.3956],
[-0.7852, -1.9576, -0.0846, ..., 0.3895, -0.9955, 0.2727]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[-0.5486, -0.3356, 0.9599, ..., 0.7369, 1.2862, -1.2571],
[-0.9830, -1.7246, -2.3006, ..., -0.5979, 0.1385, -1.1365],
[-1.0901, -2.1766, 0.0584, ..., 0.3962, -0.7888, -0.1799]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[-0.9378, -0.0595, 0.9431, ..., 0.8803, 1.5305, -0.5976],
[-1.1686, -2.0294, -2.5098, ..., -0.4486, 0.4420, -1.1795],
[-1.3086, -1.9911, 0.4750, ..., 0.4188, -0.6779, 0.5988]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[-0.7469, -0.3309, 1.0540, ..., 0.4035, 1.1849, -0.8897],
[-0.8928, -2.2025, -2.3996, ..., -0.8416, 0.2736, -1.3429],
[-0.7813, -1.8401, 0.1627, ..., 0.4678, -0.3543, 0.3622]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[-0.2112, -0.3554, 0.6580, ..., -0.9959, 1.8405, -0.2308],
[-0.2749, -2.0490, -2.2077, ..., -1.5770, 0.9157, -1.2808],
[-0.8391, -2.0741, 0.2393, ..., 0.5721, -0.4717, 0.2792]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[-0.1717, -0.3118, 0.3661, ..., -0.9232, 2.2995, 0.0224],
[-0.2589, -1.3467, -2.3305, ..., -2.3330, 0.4140, -0.7217],
[-0.3044, -1.6532, -0.0116, ..., 0.4799, -0.2590, -0.0416]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[ 0.0612, -1.6116, 1.0506, ..., -0.5003, 2.9408, 0.3079],
[-0.8373, -1.5697, -2.9105, ..., -2.0007, -0.2784, -0.9609],
[-0.4821, -1.3889, -0.2890, ..., 0.8538, -0.9634, 0.5692]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[ 0.6344, -0.9070, 1.4330, ..., -0.8046, 3.5476, 0.4171],
[-0.7915, -2.6821, -2.5538, ..., -2.5913, -0.0508, -1.2205],
[-0.9893, -2.0538, -0.7271, ..., 1.2289, -0.6557, 0.9480]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[ 1.2269, -2.4913, 1.0348, ..., -1.1558, 4.2982, 1.9120],
[-1.0165, -2.6842, -2.8023, ..., -2.8575, 0.1782, -0.7942],
[-1.6603, -2.2598, -0.7780, ..., 1.7597, -0.6340, 1.0818]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[ 0.9694, -2.3959, 0.2359, ..., -0.7096, 4.6944, 1.5411],
[-1.2819, -2.6936, -3.1382, ..., -2.4274, 0.2069, -0.7158],
[-1.3091, -2.4815, -1.3017, ..., 2.2348, -1.1073, 0.8939]]])
30: tensor([[[ 0.6667, -0.9469, 0.2013, ..., 0.1957, -0.7341, 0.1787],
[ 0.8239, -2.3207, 0.0694, ..., -0.7621, -3.7438, 0.4443],
[ 0.5519, -1.9823, 0.4187, ..., -0.8991, -1.8399, 0.0046],
...,
[ 1.1671, -2.1183, -0.8258, ..., -1.1127, 4.1160, 2.1127],
[-1.5298, -2.1679, -3.5065, ..., -2.9499, 0.4946, -0.7077],
[-1.5902, -2.1142, -1.3092, ..., 2.4900, -0.7669, 0.8574]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[ 1.3714, -2.0196, -0.2422, ..., -1.2819, 3.9108, 1.9128],
[-1.7140, -2.3452, -2.7673, ..., -2.6120, 0.0366, -0.4630],
[-1.8012, -2.1409, -0.3153, ..., 2.1954, -0.8478, 1.1351]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[ 1.1867, -1.9584, 0.0272, ..., -0.8639, 4.2153, 2.1817],
[-2.5063, -2.2998, -1.8205, ..., -3.2107, -0.2277, -0.2687],
[-2.8826, -2.4731, 0.1774, ..., 1.1197, -0.9014, 0.5608]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[ 0.0648, -1.9857, -0.1249, ..., -1.4600, 5.4400, 3.1612],
[-2.9908, -2.2328, -1.6540, ..., -2.7623, 0.1730, 0.7848],
[-2.7944, -1.8556, 0.1584, ..., 1.2413, -0.4789, 1.2645]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[-0.4064, -1.3240, -0.0911, ..., -1.9452, 5.9062, 4.0078],
[-3.1422, -1.9295, -1.8938, ..., -2.6526, 0.2320, 1.2208],
[-2.9245, -1.2290, 0.4221, ..., 0.6972, -0.3846, 1.8345]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[-0.7160, -1.3087, -0.9128, ..., -1.6068, 5.6412, 4.1076],
[-3.8929, -1.6119, -2.3021, ..., -3.2833, 0.6047, 0.4550],
[-3.4793, -1.0777, 0.1173, ..., 0.7041, -0.4706, 1.1051]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[-0.2707, -0.6381, 0.3105, ..., -0.8765, 6.9871, 4.2593],
[-3.8939, -1.4057, -2.4715, ..., -2.9527, 0.8011, 0.8856],
[-4.5307, -1.5990, 0.1809, ..., 0.6607, -1.0989, 0.9769]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[ 1.3021, -0.1099, 0.5025, ..., -1.7974, 6.9677, 5.0337],
[-4.3764, -1.4490, -2.7056, ..., -2.3435, 0.8050, 0.8411],
[-4.3796, -2.5637, 0.4052, ..., 0.4985, -0.8347, 1.0703]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[ 0.8534, -0.5384, -0.0246, ..., 0.2213, 7.5854, 6.7178],
[-4.4832, -1.7909, -2.4843, ..., -2.5060, 1.9693, 0.8676],
[-4.3367, -2.0296, 1.3349, ..., -0.6666, -0.3008, 0.5818]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[ 1.0587, -1.7125, -0.2781, ..., 1.6145, 9.2656, 8.1736],
[-5.1641, -1.1795, -2.7241, ..., -0.3093, 1.6078, 2.2119],
[-4.0653, -2.6973, 1.9120, ..., 0.7876, -1.8534, 0.7651]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[ 0.1031, -0.2559, -0.8248, ..., 0.6238, 1.9846, 1.8762],
[-0.8502, 0.2808, 0.2353, ..., 0.8560, 1.0039, 0.6435],
[-1.1242, -0.7292, -0.3027, ..., -0.2369, -1.1712, -0.1192]]])
Query: - Kombinatorik
- klassische Wahrscheinlichkeit, Zufallsexperiment
- Ereignisraum, Elementarereignis, Ereignis, Axiome der Wahrscheinlichkeitstheorie, Rechenregeln, Zusammen-
hang mit der klassischen Definition
- Bedingte Wahrscheinlichkeit, Satz von der totalen Wahrscheinlichkeit, Satz von Bayes
- Zufallsgrößen, Wahrscheinlichkeitsfunktionen, Verteilungsfunktionen,Erwartungswert und Varianz, Standard-
abweichung, Rechenregeln
- Zentraler Grenzwertsatz,Grenzwertsatz von Moivre-Laplace,
- Kovarianz und Korrelation, Rechenregeln
- Grundbegriffe der Statistik
- Parameterschätzungen
- Regression
- Maximum-Likelihood-Methode,
- Konfidenzintervalle
- Hypothesentests: Student’s- und Chi-Quadrat-Verteilung, ROCKurven
Modulhandbuch – Fakultät für Informatik
18
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[-4.3068e-03, 3.6392e-03, -1.9623e-02, ..., -4.7836e-03,
-4.7150e-03, -3.8910e-03],
[-8.3771e-03, -2.5284e-02, -2.1591e-02, ..., -7.3395e-03,
-7.7591e-03, -3.4637e-03],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 3.7897e-02, -5.6641e-02, -2.9372e-02, ..., -2.2456e-02,
-2.6234e-02, 8.9875e-03],
[-1.0164e-01, -1.9486e-02, -4.2392e-02, ..., 7.5249e-02,
-7.0435e-02, -4.2729e-02],
[-5.8809e-02, 1.2059e-02, 1.1087e-02, ..., 1.3647e-02,
-3.7473e-02, -2.1211e-02],
...,
[-4.2019e-02, -8.4255e-03, 4.5046e-02, ..., -2.6192e-02,
-1.7364e-02, -1.4397e-05],
[ 1.0801e-02, -2.4288e-02, -1.1970e-02, ..., -2.2211e-03,
-2.7316e-04, -2.1113e-02],
[ 3.1338e-02, -2.3420e-02, -2.5840e-02, ..., 9.3701e-03,
-2.1508e-02, 2.9700e-02]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[ 0.0042, 0.0192, 0.0353, ..., -0.1107, 0.0488, 0.0014],
[ 0.0951, -0.0158, -0.0425, ..., 0.0236, 0.0566, -0.0079],
[ 0.0960, -0.0210, -0.0108, ..., 0.0035, -0.0126, 0.0430]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[-0.0201, 0.0077, 0.0678, ..., -0.1545, 0.0767, 0.0019],
[ 0.1288, 0.0440, -0.0439, ..., 0.0945, 0.1229, 0.0276],
[ 0.1161, -0.0692, 0.0253, ..., 0.1135, -0.0168, 0.1070]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[-0.0195, 0.0981, 0.1332, ..., -0.1312, 0.0529, 0.0112],
[ 0.2101, 0.0479, 0.0487, ..., 0.0903, 0.1228, -0.0445],
[ 0.2825, 0.1094, -0.0663, ..., 0.2536, -0.1237, 0.3172]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[-0.0509, 0.1601, 0.1439, ..., -0.0175, 0.1095, 0.0537],
[ 0.2192, 0.0898, -0.0096, ..., 0.0553, 0.1909, -0.0663],
[ 0.2506, 0.1917, -0.2953, ..., 0.1212, -0.0944, 0.4492]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[ 0.0301, 0.0852, 0.1517, ..., 0.1897, 0.3385, 0.0291],
[ 0.1693, -0.1565, -0.0839, ..., 0.2689, 0.3219, -0.0991],
[ 0.2039, -0.0837, -0.0744, ..., 0.3918, 0.0887, 0.4880]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[-0.0509, 0.0460, 0.1349, ..., 0.2980, 0.2847, 0.0381],
[ 0.1353, -0.3425, -0.0298, ..., 0.3921, 0.3536, -0.1609],
[ 0.4149, -0.0889, -0.1395, ..., 0.4518, 0.0158, 0.6639]]])
8: tensor([[[ 1.7744e-01, -1.0197e+00, -5.5202e-01, ..., 2.1911e-01,
-7.4777e-02, 3.1519e-01],
[-2.7662e-01, -5.2568e-01, 8.5117e-01, ..., -2.2344e-03,
-4.8378e-01, -1.3226e-01],
[-4.5867e-02, -1.7939e-01, 4.2289e-01, ..., 3.4982e-01,
-4.0342e-01, -4.6520e-01],
...,
[-3.6238e-03, 4.3644e-02, 1.2118e-01, ..., 4.3760e-01,
2.7634e-01, 1.5661e-01],
[ 6.8636e-02, -3.1522e-01, 1.3103e-02, ..., 3.7811e-01,
3.1783e-01, 2.0240e-02],
[ 3.0143e-01, -1.6232e-01, -1.6084e-04, ..., 2.4669e-01,
1.1126e-01, 5.1648e-01]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[-2.3189e-01, -1.9281e-03, 1.5848e-01, ..., 5.9438e-01,
1.6535e-01, 1.0786e-01],
[ 9.3650e-02, -4.9048e-01, 7.2513e-02, ..., 2.3171e-01,
2.2237e-01, 1.3623e-01],
[ 1.5254e-01, -5.6511e-01, 2.7471e-02, ..., 2.9463e-01,
1.9987e-01, 3.5108e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[-0.1016, 0.0855, 0.1069, ..., 0.1801, 0.1685, 0.1470],
[ 0.2675, -0.5276, 0.0151, ..., 0.1736, 0.2935, 0.0724],
[ 0.1786, -0.3241, 0.2065, ..., 0.3455, 0.2416, 0.4141]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[ 0.0658, -0.1097, 0.4129, ..., 0.2817, 0.0667, 0.1830],
[ 0.3902, -0.5847, 0.1715, ..., 0.2855, 0.7591, 0.1305],
[ 0.2491, -0.3224, 0.1526, ..., 0.3880, 0.3181, 0.3891]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[ 0.3700, 0.0691, 0.1732, ..., 0.3749, 0.0451, 0.3888],
[ 0.6665, -0.5629, 0.2443, ..., 0.4410, 0.4310, 0.1240],
[ 0.0565, -0.4210, 0.2456, ..., 0.3699, 0.1519, 0.3862]]])
13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527],
[-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285],
[-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837],
...,
[ 0.2981, -0.0951, -0.0898, ..., 0.1121, -0.2189, 0.4255],
[ 0.4793, -0.8309, 0.1674, ..., 0.0242, 0.1696, 0.4164],
[ 0.3095, -0.2745, -0.0798, ..., 0.1804, 0.2180, 0.6014]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[-0.0546, -0.1003, -0.0651, ..., 0.3442, 0.2677, -0.0509],
[ 0.4976, -0.6763, 0.1389, ..., 0.2600, 0.3266, 0.4297],
[ 0.0932, -0.0735, -0.0943, ..., 0.2610, 1.0063, 0.8530]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[ 0.9989, -0.4122, -0.2064, ..., 0.6278, 0.4024, 0.3388],
[ 0.4889, -0.8183, -0.0911, ..., 0.5851, 0.5464, 0.8652],
[ 0.0805, 0.0940, -0.2233, ..., 0.1408, 1.1597, 0.5949]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[ 0.4804, -0.8091, -0.6043, ..., 0.6991, 0.4555, 0.0456],
[ 0.0760, -1.0417, 0.0194, ..., 0.3554, 0.4867, 0.5724],
[-0.2354, -0.3184, -0.0767, ..., 0.3454, 1.0941, 0.5429]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[ 0.3505, -0.8841, 0.0365, ..., 0.6393, 0.9454, 0.4137],
[ 0.1470, -1.0960, 0.7615, ..., 0.4272, 0.9678, 0.6205],
[-0.2904, -0.1767, 0.3152, ..., 0.1617, 1.0088, -0.0482]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[-0.0899, -0.8862, 0.0369, ..., 0.8096, -0.1216, -0.0737],
[-0.0909, -0.8055, 0.4298, ..., 0.6069, 0.2011, 0.7824],
[-0.5286, -0.2245, 0.0378, ..., 0.4366, 0.5888, 0.0261]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[ 0.0761, -1.0771, -0.5170, ..., 0.8796, -0.0626, 0.0896],
[ 0.1423, -0.7049, -0.3944, ..., 0.2844, 0.0850, 0.8505],
[-0.9195, -0.2381, -0.1981, ..., 0.3146, 0.4375, -0.0623]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[-0.0939, -1.4149, -0.4720, ..., 1.2241, -0.4550, 0.3221],
[ 0.3418, -1.1093, -0.5366, ..., 0.5047, -0.4153, 0.5120],
[-1.1879, -0.5374, -0.1661, ..., 0.4266, 0.1237, -0.2224]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[-0.3959, -1.3092, -0.6404, ..., 1.4643, -0.6694, 0.5350],
[ 0.1628, -0.6212, -0.6856, ..., 0.7392, -0.4194, 0.6883],
[-1.5697, -0.0587, -0.0614, ..., 0.4084, -0.1558, 0.1937]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[-0.7138, -1.9143, -0.8920, ..., 1.2593, -1.0457, 0.8936],
[ 0.3812, -0.4784, -0.7360, ..., 0.8985, -0.3736, 1.2083],
[-1.3829, -0.0139, -0.2265, ..., 0.5684, 0.0088, 0.5815]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[-0.9005, -2.2145, -0.9966, ..., 1.3000, -0.9883, 0.5627],
[ 0.1662, -1.3130, -0.7752, ..., 0.4747, -0.4961, 0.5073],
[-1.1214, -0.2725, -0.7784, ..., 0.1512, -0.1051, 0.0037]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[-0.6814, -1.5231, -0.9857, ..., 1.2649, -1.6180, 0.1475],
[ 0.2778, -1.5570, -0.9969, ..., 0.7713, -0.7707, 0.2326],
[-1.5844, -0.9499, -1.2246, ..., 0.1292, -0.2280, -0.3270]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[-0.8852, -1.8927, -1.5794, ..., 1.1513, -1.2125, -0.4900],
[ 0.8539, -1.6039, -1.9565, ..., 0.9030, -0.4513, 0.0595],
[-1.0649, -0.9239, -1.0895, ..., 0.2182, -0.4182, -0.2726]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[-0.1203, -1.7707, -1.9144, ..., 1.5551, -0.7830, -0.9745],
[ 1.2667, -0.8534, -2.7991, ..., 1.3028, -0.9618, 0.1076],
[-1.2734, -0.2593, -1.2408, ..., 1.1375, -1.1027, -0.1996]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[-0.5775, -2.2636, -2.0443, ..., 1.6823, -0.4184, -0.4787],
[ 0.1383, -1.7669, -2.8777, ..., 2.2767, -0.4504, 0.6310],
[-1.6389, -1.1422, -0.9176, ..., 1.6506, -0.9802, 0.1229]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[-0.9094, -2.8486, -1.6685, ..., 1.8071, -0.6546, -0.6404],
[-0.3273, -2.0003, -2.7194, ..., 2.4883, -0.2431, 0.3835],
[-1.8923, -1.1321, -0.9365, ..., 2.2524, -1.4240, 0.1073]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[-1.1447, -3.1485, -1.9523, ..., 1.9884, -0.6586, -1.1115],
[-0.5230, -2.2839, -2.9391, ..., 2.8677, 0.1560, 0.0554],
[-2.0127, -1.0670, -1.1430, ..., 2.6889, -1.6060, 0.0230]]])
30: tensor([[[ 0.6667, -0.9469, 0.2013, ..., 0.1957, -0.7341, 0.1787],
[ 0.8239, -2.3207, 0.0694, ..., -0.7621, -3.7438, 0.4443],
[ 0.5519, -1.9823, 0.4187, ..., -0.8991, -1.8399, 0.0046],
...,
[-1.1299, -2.9639, -1.2538, ..., 1.4698, 0.2977, -1.2463],
[-0.6929, -1.7494, -3.1834, ..., 2.8731, 0.5569, -0.4748],
[-2.0684, -0.6987, -1.2862, ..., 2.6228, -1.3756, -0.2723]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[-0.7158, -3.0378, -0.4184, ..., 1.1229, 0.5980, -0.4632],
[ 0.1732, -1.5658, -2.4252, ..., 2.5809, 0.8670, 0.2601],
[-1.8847, -0.6359, -1.0690, ..., 1.9546, -1.8047, 0.6301]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[-0.9327, -3.2744, 0.2366, ..., 1.2031, 0.6567, -0.7710],
[ 0.0230, -1.6837, -1.6707, ..., 2.5473, 1.0137, -0.2006],
[-2.3823, -0.9617, -0.5386, ..., 1.5611, -2.1109, 0.0801]]])
33: tensor([[[ 7.0910e-01, -9.4196e-01, 2.5599e-01, ..., 1.7471e-01,
-9.4584e-01, 2.5499e-02],
[ 6.7456e-01, -2.3491e+00, -5.0228e-01, ..., -1.1778e+00,
-4.0825e+00, 6.3687e-01],
[ 3.3259e-01, -2.5822e+00, -4.3508e-02, ..., -7.9605e-01,
-1.9972e+00, 2.1508e-01],
...,
[-1.5985e+00, -2.8959e+00, -1.6021e-03, ..., 1.8524e+00,
8.6071e-01, -1.9720e-01],
[-2.9116e-01, -1.4517e+00, -1.7253e+00, ..., 2.3213e+00,
1.3836e+00, -2.5114e-02],
[-2.9424e+00, -4.3614e-01, -7.0343e-01, ..., 1.9268e+00,
-1.5903e+00, 5.1759e-01]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[-1.2865, -2.9809, -0.0977, ..., 1.9541, 1.2488, 0.0613],
[ 0.0630, -1.4469, -1.6316, ..., 2.3931, 1.0333, 1.0566],
[-3.0742, -0.1640, -0.6622, ..., 1.8811, -1.7781, 1.4931]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[-2.0376, -3.5307, -0.4280, ..., 2.5471, 0.8213, -0.4011],
[ 0.1996, -1.6572, -2.5992, ..., 2.8204, 0.4395, 1.0156],
[-2.6471, 0.2823, -0.9631, ..., 2.3135, -2.0470, 1.2140]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[-1.9775, -4.0888, -0.1315, ..., 3.2052, 0.1157, -0.2452],
[-0.4852, -2.0224, -2.2545, ..., 2.9970, -0.5921, 0.7368],
[-2.9297, -0.0956, -1.0080, ..., 2.3570, -3.3942, 0.9177]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[-2.5197, -4.1751, 0.1121, ..., 2.6917, 0.0420, -1.2030],
[-0.6042, -2.8717, -1.9290, ..., 2.6819, -0.5994, -0.3347],
[-2.9827, -0.9883, -1.2098, ..., 1.7645, -2.9372, 1.0532]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[-1.9896, -3.6550, -0.1931, ..., 1.7884, -0.8605, -1.6116],
[-1.1046, -3.0902, -1.5775, ..., 2.6341, -2.0642, -0.2962],
[-2.5134, -1.4954, -1.3125, ..., 1.5697, -3.4244, 1.6971]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[-2.4752, -4.8226, -2.1570, ..., 3.7299, -1.9209, -1.5795],
[-2.3194, -5.0134, -3.0856, ..., 4.7717, -3.3695, -0.1986],
[-2.1236, -1.8289, -1.3419, ..., 2.5041, -4.0712, 2.0934]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[-0.9110, -1.0568, -1.3229, ..., 0.4377, -0.9389, -0.2351],
[-0.9540, -1.2079, -1.6306, ..., 0.8405, -1.1080, 0.1097],
[-0.9472, -0.3908, -1.1174, ..., 0.2863, -0.8876, 0.5446]]])
Query: - Theoriethemen
- Übungen zur Konzeption eines mittelständischen Unternehmens (KMU) als Teil eines Konzerns
- Übungen zum IT-Transfer: Abbildung von Geschäftsprozessen von KMUs in einer Business Suite (z. B. SAP
Business ByDesign)
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[-1.5732e-02, 8.2550e-03, 7.4692e-03, ..., 1.2413e-02,
5.2185e-03, 8.8654e-03],
[-1.3863e-02, 2.3422e-03, 2.1393e-02, ..., -3.9444e-03,
1.2177e-02, 7.6714e-03],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[-0.0483, 0.0333, 0.0755, ..., -0.0151, -0.0658, 0.0333],
[-0.0512, -0.0161, 0.0559, ..., -0.0284, 0.0115, 0.0271],
[ 0.0211, -0.0159, -0.0198, ..., 0.0124, 0.0025, 0.0077]]])
2: tensor([[[ 1.0109e-01, -1.8457e-01, 1.5029e-01, ..., -1.7510e-01,
-1.9697e-01, -7.8638e-02],
[-2.0358e-03, -1.0349e-01, -2.0788e-02, ..., 1.1819e-01,
4.5131e-02, 4.3589e-03],
[-3.6629e-02, -5.1585e-03, 2.2301e-02, ..., 1.6284e-02,
-7.3033e-02, -3.2806e-02],
...,
[ 6.9765e-02, 5.2651e-03, -7.7284e-03, ..., -5.2996e-02,
-1.6080e-01, 6.9476e-02],
[-5.8378e-02, -1.8524e-02, 6.7024e-02, ..., -2.7891e-03,
2.2861e-02, 2.5625e-02],
[ 7.8680e-02, -2.2488e-02, -2.2393e-02, ..., 3.6071e-02,
-1.5761e-04, 2.5282e-03]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[ 0.2519, -0.0755, 0.0439, ..., 0.0778, 0.2336, -0.3418],
[-0.0329, -0.0525, 0.1533, ..., 0.0778, 0.0128, 0.0209],
[ 0.1499, -0.0507, 0.0177, ..., 0.0433, 0.0188, 0.0455]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[ 0.1297, -0.0978, -0.2169, ..., 0.2739, 0.0133, -0.4061],
[-0.0750, 0.0389, 0.1304, ..., 0.0943, -0.0126, 0.0392],
[ 0.1359, -0.0421, 0.0174, ..., 0.0470, -0.0563, 0.0740]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[ 0.1538, -0.2687, -0.1527, ..., 0.3489, 0.0327, -0.5093],
[-0.0808, -0.0240, 0.0940, ..., -0.0243, -0.0718, 0.2346],
[ 0.1572, -0.0612, 0.0147, ..., 0.0015, -0.0021, 0.2792]]])
6: tensor([[[-2.3995e-01, -4.6932e-01, -2.1293e-01, ..., 3.7170e-01,
5.7616e-02, 2.8950e-01],
[-1.1711e-01, -3.2389e-01, 6.7573e-01, ..., 1.7863e-01,
-3.5874e-01, -2.3433e-01],
[-3.3049e-03, -2.6740e-01, 3.7956e-01, ..., -5.8433e-03,
-3.4639e-01, -3.8379e-01],
...,
[-2.8614e-02, -1.7990e-01, 9.6773e-02, ..., 3.0400e-01,
3.6502e-01, -6.4204e-01],
[-1.1027e-01, -1.7073e-01, 3.8821e-01, ..., 1.5272e-01,
2.3705e-01, -3.2543e-04],
[ 3.0266e-01, -2.0971e-01, 7.4628e-02, ..., 3.3301e-02,
7.5871e-02, 2.5270e-01]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[ 0.2823, -0.5142, 0.2109, ..., 0.2586, 0.1342, -0.8073],
[-0.1339, -0.1098, 0.3622, ..., 0.1739, 0.1848, 0.0012],
[ 0.1760, -0.2389, 0.2656, ..., 0.0439, -0.1085, 0.2597]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[-0.0854, -0.7546, 0.3508, ..., 0.2079, 0.3151, -0.6979],
[-0.1874, -0.4891, 0.4208, ..., 0.0278, -0.0746, 0.0806],
[ 0.1975, -0.6238, 0.2692, ..., -0.3194, -0.6664, 0.2094]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[ 3.3322e-02, -5.5208e-01, 5.9400e-01, ..., 5.6603e-02,
7.2141e-01, -7.1338e-01],
[-9.6819e-02, -6.0358e-01, 1.5614e-01, ..., 2.8933e-01,
2.7485e-02, -1.5019e-02],
[-1.4347e-01, -9.5169e-01, 1.7807e-01, ..., -3.6655e-02,
-4.4095e-01, 2.4778e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[ 0.2158, -0.7166, 0.8427, ..., 0.0344, 0.7364, -0.7681],
[-0.0055, -0.6054, -0.3283, ..., 0.2514, 0.0633, -0.1508],
[ 0.1764, -0.7712, 0.1779, ..., -0.1181, -0.5048, 0.0135]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[ 0.4358, -0.3692, 0.8106, ..., 0.1630, 1.2669, -0.7236],
[ 0.0712, -1.0783, -0.3073, ..., 0.4940, -0.1046, 0.1643],
[-0.0053, -0.8684, 0.4419, ..., 0.2037, -0.8565, -0.2148]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[ 0.1412, -0.2577, 0.8694, ..., -0.0827, 1.1512, -0.9579],
[ 0.0057, -1.0764, -0.6095, ..., 1.0204, 0.1155, 0.1074],
[-0.1054, -0.7850, 0.3492, ..., 0.1030, -1.1896, -0.1587]]])
13: tensor([[[ 2.5794e-01, -1.0105e+00, -5.3911e-01, ..., -3.4954e-02,
-2.0185e-01, 4.5267e-01],
[-6.4005e-01, -7.8039e-01, 1.3922e-03, ..., 1.2504e-01,
-3.1000e-01, 1.2849e-01],
[-6.0393e-02, -9.7953e-01, 4.2703e-01, ..., 1.7716e-01,
-6.6826e-01, -4.8370e-01],
...,
[-2.8366e-01, -2.7610e-01, 7.9779e-01, ..., -1.9170e-01,
1.4134e+00, -9.6282e-01],
[-3.2821e-01, -1.2620e+00, -5.6965e-01, ..., 9.3386e-01,
-2.2647e-01, -3.6721e-01],
[-3.7231e-01, -8.6096e-01, 2.1687e-01, ..., -3.4412e-01,
-1.4187e+00, 2.4747e-01]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[ 0.1518, 0.0353, 0.5404, ..., 0.0735, 1.2206, -1.1532],
[-0.1339, -1.4356, -0.0874, ..., 0.4293, 0.0254, -0.4904],
[ 0.0519, -1.1382, 0.1589, ..., -0.1454, -1.5666, 0.0085]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[ 0.4179, -0.0613, 0.3381, ..., 0.2488, 1.6403, -1.0376],
[ 0.0043, -1.4951, -0.3074, ..., 0.5188, 0.2055, -0.4219],
[ 0.4067, -1.6352, -0.5835, ..., 0.1707, -1.6975, 0.4433]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[ 0.3801, -0.4444, 0.1778, ..., -0.0398, 1.6738, -0.8500],
[-0.2363, -1.5528, -0.6290, ..., 0.3115, 0.3535, -0.3240],
[ 0.6485, -2.3032, -0.7009, ..., -0.2418, -1.8321, 0.8677]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[ 0.5914, -0.6899, 0.1008, ..., 0.0997, 1.9314, -0.8540],
[ 0.0266, -1.6109, -0.8935, ..., 0.0390, 0.4864, -0.5276],
[ 0.3348, -1.8527, -0.4143, ..., 0.0705, -2.0230, 1.1469]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[ 1.1251, -0.4460, 0.0435, ..., -0.0879, 1.8720, -0.5229],
[ 0.1666, -1.4643, -1.1891, ..., 0.4416, 0.0708, -0.6073],
[ 0.4989, -1.7270, -0.0673, ..., 0.6524, -2.6231, 0.5161]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[ 1.2183, -0.2838, -0.3662, ..., -0.6971, 2.4582, -0.6760],
[-0.0385, -2.2666, -1.7383, ..., 0.1665, 0.7334, -0.3126],
[ 0.8937, -1.9950, -0.8505, ..., 0.6518, -2.3599, 0.2995]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[ 1.5933, -0.5843, -0.3757, ..., -0.5810, 2.6339, -0.6939],
[-0.1284, -1.7194, -1.4731, ..., 0.4135, 0.8510, -0.2524],
[ 1.1016, -2.1314, -0.1456, ..., 0.5704, -2.2756, -0.1838]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[ 1.4767, -1.1923, -0.3724, ..., -1.0477, 3.1372, -1.1576],
[-0.7586, -2.4993, -1.5565, ..., 0.1866, 0.8714, -0.9087],
[ 1.1544, -2.2786, -0.4314, ..., 0.4523, -2.4855, -0.1664]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[ 1.2554, -1.0590, -0.2612, ..., -0.9433, 3.7405, -0.7184],
[-0.0339, -2.7306, -1.6950, ..., -0.0951, 1.2772, -0.8340],
[ 0.6576, -2.5540, 0.1099, ..., 0.3822, -2.3626, 0.7545]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[ 1.0159, -0.9987, -0.0394, ..., -1.1041, 3.6619, -0.8492],
[ 0.1595, -3.1461, -1.3301, ..., -0.9908, 0.8076, -1.1144],
[ 0.8278, -2.2327, -0.1386, ..., 0.2227, -2.1093, 0.4210]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[ 0.6124, -0.9998, -0.3308, ..., -1.3693, 4.1769, -1.0143],
[ 0.5745, -3.1421, -1.5267, ..., -1.7079, 1.4340, -0.7926],
[ 0.9268, -2.0843, 0.1567, ..., 0.4877, -2.2529, -0.0367]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[ 0.8564, -0.8415, -0.0996, ..., -1.6906, 4.5120, -1.1202],
[ 0.9566, -3.2228, -1.3688, ..., -2.5520, 1.5946, -0.7580],
[ 1.4266, -1.6986, 0.2565, ..., 0.2426, -2.3682, -0.6090]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[ 0.8931, -1.2821, -0.3206, ..., -1.2581, 3.8302, -0.6784],
[ 1.8422, -4.0961, -1.8966, ..., -2.0031, 1.4461, -1.6140],
[ 1.0544, -1.8964, -0.3920, ..., 0.1599, -2.7726, -0.2911]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[ 0.0281, -1.4363, -1.0788, ..., -1.5645, 3.7218, -0.8461],
[ 1.7421, -4.3499, -2.5445, ..., -2.3131, 2.2590, -1.7017],
[ 0.5468, -2.1854, -0.3653, ..., 0.4796, -2.0527, -0.0683]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[ 0.2220, -2.4069, -1.4330, ..., -1.6126, 4.0423, -0.1088],
[ 1.9724, -5.0536, -2.6486, ..., -2.2366, 1.9827, -1.4700],
[ 0.9700, -1.9971, -0.4854, ..., 0.4750, -1.8025, -0.0112]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[ 0.1879, -3.6423, -0.5377, ..., -0.9241, 4.4608, 0.3712],
[ 1.7701, -5.8347, -2.0340, ..., -2.2114, 2.3166, -1.9205],
[ 1.0780, -2.1911, -0.8117, ..., 0.4539, -2.7791, -0.6257]]])
30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01,
-7.3406e-01, 1.7867e-01],
[ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01,
-3.7438e+00, 4.4429e-01],
[ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01,
-1.8399e+00, 4.5765e-03],
...,
[ 6.1911e-01, -4.5493e+00, -1.2202e+00, ..., -4.3174e-01,
3.6283e+00, 2.4023e-01],
[ 2.4575e+00, -6.1732e+00, -2.7393e+00, ..., -2.1426e+00,
2.2299e+00, -1.7351e+00],
[ 8.1396e-01, -1.8410e+00, -9.7311e-01, ..., 7.5152e-01,
-2.4810e+00, -1.2283e+00]]])
31: tensor([[[ 6.6548e-01, -9.5977e-01, 2.4467e-01, ..., 1.7063e-01,
-7.7761e-01, 1.7881e-01],
[ 6.9416e-01, -2.3152e+00, 4.6663e-02, ..., -1.0002e+00,
-4.1053e+00, 4.5923e-01],
[ 4.6741e-01, -1.8792e+00, 4.0657e-01, ..., -1.1411e+00,
-1.8999e+00, 8.6140e-02],
...,
[ 1.4859e+00, -4.0551e+00, -8.9097e-01, ..., -1.1116e+00,
3.5376e+00, -1.1559e-01],
[ 3.6875e+00, -6.5784e+00, -2.3068e+00, ..., -3.0117e+00,
2.5816e+00, -8.4136e-01],
[ 1.0874e+00, -1.5460e+00, 2.3571e-01, ..., -2.8362e-03,
-1.9249e+00, -8.1092e-01]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[ 2.0009, -4.5069, -0.7690, ..., -1.4365, 3.6762, -0.1358],
[ 3.2650, -6.5801, -1.9769, ..., -4.1966, 2.8711, -1.3407],
[ 0.4074, -1.8263, -0.0213, ..., -0.4844, -2.0412, -1.4058]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[ 1.6547, -4.5278, -0.5432, ..., -1.2011, 4.5377, 0.0799],
[ 3.2729, -6.8924, -1.1605, ..., -4.6894, 2.9948, -0.9891],
[ 0.6562, -1.1649, -0.0959, ..., -0.4247, -1.9309, -0.4397]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[ 1.7613, -5.3548, -1.6240, ..., -1.2681, 3.7447, -0.0508],
[ 2.9473, -7.3320, -0.9368, ..., -4.4878, 2.4977, -0.8942],
[ 0.3979, -0.8945, 0.3399, ..., -1.7193, -1.4792, -0.1803]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[ 2.4389, -5.4055, -1.7734, ..., -0.9041, 3.4900, -0.4976],
[ 3.1157, -7.8474, -1.3612, ..., -3.6782, 2.2120, -1.8985],
[ 0.4117, -0.7019, 0.1229, ..., -2.5291, -1.8435, -1.5425]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[ 1.3719, -5.0139, -2.3965, ..., -0.7692, 5.0397, -1.1525],
[ 2.6681, -8.6185, -3.2607, ..., -3.7209, 2.5472, -3.1361],
[ 0.2330, -1.4498, 0.2523, ..., -2.6222, -2.1521, -2.4110]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[ 2.2586, -6.4658, -1.4930, ..., -1.3412, 5.3140, -0.2219],
[ 3.0780, -8.7738, -3.2906, ..., -4.7551, 2.2189, -1.6209],
[ 0.5982, -2.2273, 0.6857, ..., -2.7052, -1.8592, -3.1444]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[ 1.6321, -6.4100, -2.4735, ..., -0.4784, 7.2387, 1.0416],
[ 4.0186, -10.0832, -3.9601, ..., -3.7966, 2.5179, -3.9733],
[ 1.1371, -1.8795, 1.3860, ..., -3.5708, -0.8234, -3.0916]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[ 2.1876, -6.2358, -4.7253, ..., -0.6470, 6.9285, 0.2888],
[ 2.7653, -10.2867, -4.7055, ..., -1.6562, 1.8273, -4.3919],
[ 2.7001, -3.0720, 2.9328, ..., -3.5839, -1.8455, -4.2897]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[ 0.0509, -1.3075, -2.1349, ..., -0.4163, 1.0571, -0.0167],
[ 0.0313, -1.7499, -0.7497, ..., 0.6045, 0.7351, -1.0243],
[-0.1381, -0.7208, -0.3147, ..., -0.9647, -0.8929, -0.9241]]])
Query: Die Studierenden sind in der Lage,
- ein kleines Projekt selbstständig zu managen,
- eine projektspezifische virtuelle Rechnerinfrastruktur zu entwerfen, zu implementieren und zu warten,
- fachliche und Anwendungsdomänen-spezifische Techiken und Methoden aus dem Projektumfeld anzuwenden
und damit Software-Lösungen zu entwickeln
Modulhandbuch – Fakultät für Informatik
22
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.4016e-03, -7.2823e-03, -5.4016e-03, ..., -1.5320e-02,
-1.1337e-02, -5.9319e-03],
[ 4.2328e-02, 1.2329e-02, 1.8263e-03, ..., 1.1559e-02,
-3.9177e-03, -2.0721e-02],
...,
[-1.9775e-02, -1.0178e-02, -4.5624e-03, ..., 1.0338e-03,
2.7905e-03, -1.1627e-02],
[-1.9775e-02, -1.0178e-02, -4.5624e-03, ..., 1.0338e-03,
2.7905e-03, -1.1627e-02],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.0314, -0.0132, -0.0158, ..., -0.0881, -0.1152, -0.0271],
[ 0.1400, 0.0837, -0.0302, ..., -0.0135, -0.0058, 0.0428],
...,
[-0.0258, -0.0317, -0.0248, ..., -0.0414, 0.0258, -0.0187],
[-0.0296, -0.0267, -0.0280, ..., -0.0385, 0.0299, -0.0117],
[ 0.0285, -0.0126, -0.0231, ..., 0.0231, -0.0112, 0.0279]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[ 0.0348, -0.1445, 0.0878, ..., -0.1148, -0.0753, -0.0537],
[ 0.0884, 0.0330, 0.0115, ..., 0.0838, 0.0525, -0.0172],
...,
[-0.0218, -0.0200, -0.0525, ..., -0.0996, 0.1105, -0.0032],
[-0.0705, -0.0004, -0.0135, ..., -0.0349, 0.0593, 0.0409],
[ 0.1028, -0.0048, -0.0022, ..., 0.0058, -0.0059, 0.0408]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[-0.0298, -0.1772, 0.2839, ..., 0.0364, -0.0223, -0.1837],
[ 0.0425, -0.0423, 0.0465, ..., -0.0349, 0.0801, -0.0365],
...,
[ 0.0025, 0.0244, -0.0123, ..., -0.1581, 0.1983, -0.0016],
[-0.0552, 0.0804, 0.0747, ..., -0.0803, -0.0244, 0.0595],
[ 0.1018, -0.0408, 0.0323, ..., 0.1001, -0.0491, 0.0867]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.1007, 0.0613, 0.3586, ..., -0.1072, -0.0153, 0.0184],
[-0.0621, -0.0707, 0.0541, ..., -0.0362, 0.0403, 0.0984],
...,
[-0.0763, 0.1114, -0.0300, ..., -0.0993, 0.1679, -0.0559],
[-0.1273, 0.0353, -0.0563, ..., -0.0680, 0.0105, 0.1027],
[ 0.2716, 0.2088, -0.1170, ..., 0.2057, -0.1556, 0.2734]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0952, -0.0168, 0.3893, ..., 0.0472, 0.2085, 0.0845],
[-0.0422, -0.1415, 0.0157, ..., 0.2136, 0.1239, 0.2048],
...,
[-0.0598, 0.2013, -0.0639, ..., -0.0601, 0.2222, -0.1113],
[-0.1209, 0.0905, -0.0986, ..., -0.0483, 0.0628, 0.1325],
[ 0.2123, 0.2625, -0.2075, ..., -0.0035, -0.1479, 0.3679]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.3425, -0.0278, 0.2310, ..., -0.0375, 0.1245, -0.0776],
[-0.2438, -0.0786, 0.1758, ..., 0.2076, 0.1843, 0.2911],
...,
[-0.0030, 0.0671, -0.1074, ..., 0.1358, 0.4270, -0.1194],
[-0.1003, -0.1142, -0.0676, ..., 0.1608, 0.1198, 0.0979],
[ 0.2198, -0.0215, -0.0295, ..., 0.2022, 0.1531, 0.3408]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.0962, -0.1794, 0.3917, ..., -0.0952, 0.0395, -0.2583],
[-0.3357, 0.0569, 0.1794, ..., -0.0757, 0.5264, 0.2868],
...,
[-0.0394, 0.0929, -0.1679, ..., 0.3291, 0.3302, -0.0229],
[-0.0922, -0.1112, -0.0893, ..., 0.2988, 0.1226, 0.0722],
[ 0.4503, -0.0111, -0.1795, ..., 0.3006, 0.0216, 0.5355]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.3889, 0.1364, 0.6501, ..., -0.0281, 0.2724, -0.3429],
[-0.5046, 0.1859, 0.1972, ..., -0.0623, 0.6860, 0.3724],
...,
[ 0.0312, 0.0469, -0.1662, ..., 0.4145, 0.4057, 0.1368],
[-0.0756, 0.0325, 0.0648, ..., 0.3429, 0.1726, 0.3382],
[ 0.4013, -0.0416, -0.1613, ..., -0.0149, 0.1368, 0.5211]]])
9: tensor([[[ 0.1666, -1.0333, -0.5140, ..., 0.1680, -0.0787, 0.3080],
[-0.3814, 0.0549, 0.7141, ..., 0.0967, 0.2219, -0.5054],
[-0.8664, 0.1969, 0.3250, ..., -0.0557, 0.6567, 0.3088],
...,
[-0.2085, -0.1076, -0.1613, ..., 0.4537, 0.3789, 0.1217],
[-0.0181, -0.1245, -0.0048, ..., 0.3135, 0.2839, 0.3244],
[ 0.2923, -0.5993, -0.0661, ..., -0.0411, 0.2077, 0.3507]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.4816, -0.0760, 0.7342, ..., 0.0525, 0.1009, -0.8653],
[-0.8986, 0.3398, 0.1489, ..., -0.1862, 0.7247, 0.2194],
...,
[-0.1968, -0.1243, -0.0542, ..., 0.1665, 0.4273, 0.2565],
[ 0.1166, -0.1085, 0.1589, ..., 0.2214, 0.1911, 0.3644],
[ 0.4361, -0.3525, 0.1586, ..., 0.0411, 0.2391, 0.2964]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.6774, 0.1147, 0.8463, ..., -0.2003, 0.0246, -0.5878],
[-0.8356, 0.2223, 0.2051, ..., -0.0289, 0.5588, -0.0436],
...,
[-0.1984, -0.3337, 0.1801, ..., 0.2399, 0.5590, 0.1666],
[ 0.1086, -0.1880, 0.2714, ..., 0.4632, 0.4126, 0.4622],
[ 0.4580, -0.1963, 0.0477, ..., 0.1500, 0.2533, 0.5199]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4822, 0.2293, 0.7352, ..., -0.1531, 0.3189, -0.4668],
[-0.7606, 0.4502, 0.1782, ..., -0.3534, 0.6059, -0.2845],
...,
[ 0.1362, -0.3064, 0.1462, ..., 0.3478, 0.3468, 0.3321],
[ 0.3689, -0.1695, 0.4225, ..., 0.6293, 0.1046, 0.4142],
[ 0.5113, -0.3532, 0.1872, ..., 0.2161, 0.0773, 0.5320]]])
13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527],
[-0.5892, -0.0668, 0.2954, ..., 0.4923, 0.4283, -0.3478],
[-0.5394, 0.6289, -0.0081, ..., -0.2932, 0.1695, -0.3400],
...,
[ 0.2948, -0.3168, -0.1640, ..., -0.0163, 0.1026, 0.5883],
[ 0.1214, -0.4660, 0.2656, ..., 0.2772, -0.0956, 0.5499],
[ 0.6015, -0.2808, -0.1295, ..., 0.1112, 0.0612, 0.6436]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.5613, 0.1835, 0.2007, ..., 0.5506, 0.7094, -0.4538],
[-0.8604, 0.4632, 0.0515, ..., -0.2653, 0.2988, -0.1526],
...,
[-0.0622, -0.5913, -0.0039, ..., 0.1568, 0.5537, 0.1668],
[-0.0941, -0.3452, 0.4690, ..., 0.6357, 0.0736, 0.3660],
[ 0.4361, -0.1469, -0.2600, ..., 0.3943, 0.7429, 0.8270]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.3799, 0.4772, 0.1746, ..., 0.3410, 0.7986, -0.1130],
[-0.9207, 0.3409, 0.2368, ..., -0.4309, 0.5466, 0.1221],
...,
[ 0.6858, -0.5729, -0.4206, ..., 0.5459, 0.5928, 0.5220],
[ 0.2303, -0.2925, 0.2373, ..., 1.0232, 0.1814, 0.8187],
[ 0.4189, -0.0990, -0.3440, ..., 0.2111, 0.9316, 0.6756]]])
16: tensor([[[ 3.0450e-01, -1.0667e+00, -2.1152e-01, ..., -5.2158e-02,
-1.1216e-01, 5.7830e-01],
[-1.7745e-01, 4.3239e-01, 3.4623e-01, ..., -1.6465e-01,
6.8064e-01, -4.3865e-01],
[-9.0053e-01, 5.8497e-01, 4.7138e-01, ..., 1.2389e-01,
7.3812e-01, 1.6099e-01],
...,
[ 3.8010e-01, -8.4808e-01, -3.7556e-01, ..., 2.5641e-01,
8.1571e-01, 2.2658e-01],
[ 1.1199e-01, -7.8992e-01, 1.2606e-01, ..., 6.0283e-01,
2.5277e-01, 6.6262e-01],
[ 9.8295e-02, -1.2390e-01, 1.0412e-03, ..., 4.5023e-01,
1.0376e+00, 6.4527e-01]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[ 0.1394, 0.1578, 0.2010, ..., -0.3745, 0.5852, -0.5401],
[-0.8800, 0.1826, 0.1795, ..., 0.1964, 0.9638, 0.0212],
...,
[ 0.1142, -1.0934, 0.0532, ..., 0.3273, 1.0333, 0.3468],
[-0.1364, -0.8424, 0.3633, ..., 0.8232, 0.6164, 0.4895],
[-0.0645, 0.1094, 0.2321, ..., 0.4018, 0.9693, 0.0154]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.0587, -0.0768, 0.1106, ..., -0.4957, 0.3430, -0.6586],
[-1.0650, 0.4030, 0.1930, ..., 0.2991, 0.7162, -0.2361],
...,
[-0.3628, -0.9845, -0.4940, ..., 0.6541, 0.2708, 0.4040],
[-0.2339, -0.6381, -0.0132, ..., 1.0546, 0.0744, 0.7508],
[-0.3670, 0.1999, -0.0330, ..., 0.6814, 0.7087, 0.0901]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.1672, -0.2402, 0.1179, ..., -0.5150, 0.5125, -0.6390],
[-0.5149, 0.7687, 0.3668, ..., 0.0490, 0.5433, -0.5278],
...,
[-0.0772, -0.5978, -1.0649, ..., 0.4118, 0.4892, 0.5357],
[ 0.3178, -0.2821, -1.1263, ..., 0.8012, 0.2561, 1.0099],
[-0.8733, 0.2775, -0.4040, ..., 0.5847, 0.2816, 0.0458]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.2393, -0.1203, -0.0780, ..., -0.8767, 0.3679, -1.1687],
[-0.3623, 1.0490, 0.3784, ..., 0.5495, 0.7109, 0.0375],
...,
[ 0.0837, -1.0727, -0.7049, ..., 1.2270, 0.3845, 0.8184],
[ 0.4019, -0.7271, -0.9941, ..., 1.3372, 0.1197, 1.0916],
[-1.1032, 0.0039, -0.3057, ..., 0.7139, -0.0308, -0.1609]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.6168, 0.3442, 0.2393, ..., -1.4191, 0.5622, -1.9148],
[-0.3870, 1.0493, 1.0232, ..., 0.9389, 0.2935, 0.2764],
...,
[-0.1505, -0.8167, -0.7715, ..., 1.3807, -0.2854, 1.1026],
[ 0.1522, -0.2861, -1.2927, ..., 1.5291, -0.2512, 1.1382],
[-1.4717, 0.6277, -0.3393, ..., 0.5368, -0.4639, 0.0977]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4477, 0.8658, 1.1226, ..., -1.7330, 0.3925, -2.5433],
[-0.7347, 1.5486, 1.5835, ..., 0.6815, 0.6137, 0.0684],
...,
[-0.6746, -1.0422, -1.0225, ..., 1.3635, -0.8308, 1.0606],
[-0.0056, 0.1104, -1.3837, ..., 1.1870, -0.2407, 1.3660],
[-1.4426, 0.8244, -0.4971, ..., 0.6344, -0.3157, 0.3709]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 1.1902, 1.1793, 0.2496, ..., -2.6183, 0.0181, -2.6027],
[ 0.6151, 1.7325, 1.5289, ..., 0.6071, 0.8957, -0.1639],
...,
[-0.9470, -1.4353, -0.8474, ..., 1.0985, -1.0287, 0.6251],
[-0.7801, -0.5415, -1.1670, ..., 0.7301, -0.9548, 0.7097],
[-1.2645, 0.8900, -0.6051, ..., 0.2113, -0.3825, -0.2795]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 1.3079, 1.9014, 0.1168, ..., -2.9579, 1.0136, -3.0102],
[ 1.4703, 2.9030, 1.5280, ..., 0.9282, 1.4056, -0.5773],
...,
[-0.9531, -1.0681, -0.6418, ..., 1.2644, -1.1216, -0.1613],
[-0.8451, -0.8662, -1.7004, ..., 0.9440, -1.4473, 0.3020],
[-2.0701, 0.4268, -0.7611, ..., 0.1364, -0.4915, -0.6917]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 1.2887, 3.1195, 0.5099, ..., -3.1410, 0.8265, -3.5222],
[ 1.5727, 2.9817, 3.0178, ..., 2.0017, 1.9856, 0.8335],
...,
[-1.1967, -1.5435, -1.6346, ..., 1.1086, -0.8527, -0.4731],
[-0.1070, -0.6360, -2.6462, ..., 1.4110, -0.9584, 0.2391],
[-1.4253, 0.8339, -0.5430, ..., -0.0131, -0.6159, -0.9357]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 2.1170, 2.5406, 0.5568, ..., -2.5024, 1.1580, -3.6572],
[ 2.0077, 2.7076, 3.1796, ..., 1.7921, 3.1051, 0.3964],
...,
[-0.6079, -0.5356, -1.7881, ..., 2.0092, -0.2728, -0.8805],
[ 0.1157, 0.1935, -3.0226, ..., 1.9547, -0.8248, 0.4728],
[-1.6360, 1.5790, -0.5493, ..., 1.1398, -1.1481, -0.8892]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 1.3379, 3.0622, 0.4982, ..., -3.2566, 1.2575, -3.0621],
[ 1.5631, 3.0329, 3.7311, ..., 1.7612, 2.7302, 1.3024],
...,
[-1.5967, -1.0702, -2.2208, ..., 2.6096, 0.0726, -0.2010],
[-1.1738, -0.8417, -3.0322, ..., 3.1689, -0.8041, 0.8348],
[-1.9236, 0.6006, -0.2911, ..., 1.6364, -0.8697, -0.4841]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 1.5843, 2.8582, 0.5249, ..., -3.4097, 1.9343, -2.9662],
[ 1.1870, 2.8459, 3.1192, ..., 1.5039, 2.6153, 0.8242],
...,
[-1.8575, -1.4192, -1.9070, ..., 2.7522, -0.4457, -0.0512],
[-1.5911, -0.9304, -3.0217, ..., 3.0357, -0.8778, 0.8198],
[-2.2571, 0.4774, -0.6172, ..., 1.9286, -1.1386, -0.3841]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 1.7215, 3.3048, 0.1776, ..., -4.1976, 2.2226, -3.0607],
[ 1.3420, 3.3170, 3.1180, ..., 1.4688, 2.0683, 0.4691],
...,
[-2.2435, -1.1769, -2.4151, ..., 3.2649, -0.6156, -0.6346],
[-1.9684, -0.7959, -3.5328, ..., 3.4956, -0.4138, 0.1584],
[-2.3102, 0.9003, -0.8215, ..., 2.5111, -1.7312, -0.7181]]])
30: tensor([[[ 0.6667, -0.9469, 0.2013, ..., 0.1957, -0.7341, 0.1787],
[ 1.4173, 3.2630, -0.6404, ..., -4.4804, 1.6618, -3.1658],
[ 1.3584, 4.2466, 2.5359, ..., 1.6166, 2.6813, -0.0913],
...,
[-1.9038, -1.0335, -1.6349, ..., 3.1161, 0.0400, -1.1345],
[-2.3766, -0.2517, -3.4838, ..., 3.9934, -0.0330, -0.3118],
[-2.5208, 1.2775, -1.1956, ..., 3.0995, -1.7235, -0.9525]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 1.4615, 3.3916, -0.2536, ..., -5.2784, 2.0072, -3.3231],
[ 1.6591, 3.8951, 2.2201, ..., 1.8906, 2.0295, -1.2280],
...,
[-1.7139, -0.8994, -0.9607, ..., 3.1751, 0.7060, -0.7217],
[-1.3568, 0.2095, -2.6007, ..., 3.7777, 0.5082, 0.5912],
[-2.5507, 1.2495, -1.1415, ..., 2.4962, -1.9179, -0.0994]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 2.0288, 3.4331, -0.8790, ..., -5.0096, 1.7184, -3.4330],
[ 1.5807, 3.1549, 2.2227, ..., 1.8808, 1.5281, -1.7718],
...,
[-1.7901, -1.2373, -1.1578, ..., 3.3198, 0.5987, -0.5413],
[-2.0626, -0.1006, -2.4822, ..., 3.4767, 0.9870, 0.3194],
[-3.0817, 0.7573, -0.5913, ..., 2.2615, -2.3266, -0.2876]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 1.8583, 4.0141, -0.9734, ..., -5.9333, 2.0905, -3.3307],
[ 1.0070, 3.2188, 1.9731, ..., 1.2526, 0.8178, -1.5600],
...,
[-2.2350, -0.6613, -1.4801, ..., 4.0935, 0.4433, 0.1349],
[-2.5797, 0.3072, -2.6850, ..., 3.5021, 1.1157, 0.6994],
[-3.6940, 1.1891, -0.9177, ..., 2.7489, -1.9812, 0.3491]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 2.0030, 3.9488, -0.5989, ..., -5.9207, 1.9659, -2.7657],
[ 0.3571, 2.8542, 2.0260, ..., 1.0885, 0.9702, -1.9109],
...,
[-2.2463, -0.7183, -1.2397, ..., 3.3568, 0.8404, 0.1028],
[-2.2465, 0.0286, -2.2754, ..., 3.1071, 1.1018, 1.6147],
[-3.8588, 1.4029, -0.3303, ..., 2.2244, -2.0089, 1.2654]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.1691, 4.1692, -1.5696, ..., -5.4434, 1.2151, -3.6666],
[-0.2417, 2.3720, 2.2759, ..., 0.9959, 1.6046, -2.2331],
...,
[-2.4839, -1.0359, -2.0399, ..., 3.9752, 0.1145, -0.1448],
[-2.2946, 0.1267, -3.2358, ..., 3.6931, 0.5852, 2.0554],
[-3.4998, 1.8273, -0.8592, ..., 2.8809, -2.2420, 1.0545]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.0138, 4.6372, -1.4853, ..., -5.8695, 2.0432, -4.1288],
[-0.0835, 2.0479, 3.0634, ..., 1.8259, 1.6257, -1.3732],
...,
[-2.7275, -1.8497, -1.8664, ..., 4.4615, -0.9304, -0.0088],
[-2.5507, -0.4113, -3.5359, ..., 3.6336, -0.9165, 1.8667],
[-3.8509, 1.1686, -1.3723, ..., 2.8952, -4.0700, 0.7185]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 1.2874, 4.5292, -1.5664, ..., -5.9701, 2.3733, -4.1725],
[-0.2766, 2.4303, 4.0938, ..., 1.8671, 1.9985, -1.3845],
...,
[-3.5405, -2.7170, -1.5489, ..., 4.8370, -1.5676, -0.8126],
[-2.8829, -1.6968, -3.5436, ..., 3.2056, -0.7261, 0.7234],
[-3.4793, 0.3047, -1.5636, ..., 2.5553, -3.7961, 0.8171]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 1.0454, 4.6582, -2.5552, ..., -6.1068, 1.5839, -3.1076],
[-0.4167, 2.3306, 3.8001, ..., 2.5002, 1.2226, -1.7264],
...,
[-2.5581, -2.8105, -1.1608, ..., 4.0179, -2.3541, -1.8183],
[-2.6934, -2.6073, -2.9021, ..., 3.0362, -1.5046, -0.0721],
[-3.3161, 0.2536, -1.5011, ..., 2.0854, -4.4698, 0.3525]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 1.1201, 4.0922, -3.4734, ..., -5.2470, -0.9760, -2.8315],
[-0.1410, 3.4196, 4.6781, ..., 1.8651, 0.5242, -2.1196],
...,
[-2.5184, -3.1567, -1.9597, ..., 4.9844, -4.5285, -1.9329],
[-3.3778, -4.1588, -3.5387, ..., 4.1400, -3.7953, -0.8896],
[-3.2384, 0.3633, -1.2180, ..., 2.7871, -6.2730, -0.0726]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[-0.2367, 0.8228, -1.0972, ..., -1.0244, -0.2596, -0.2143],
[-0.2036, 0.5696, 0.9712, ..., 0.0561, 0.0137, -0.8077],
...,
[-0.7821, -0.7407, -1.1082, ..., 0.5648, -1.3828, -0.2447],
[-1.0867, -1.0989, -1.4760, ..., 0.5809, -1.1103, -0.0562],
[-1.0279, -0.1539, -0.9262, ..., 0.3342, -1.2157, 0.1837]]])
Query: - Was ist ein Projekt?
- Aufgaben- vs. Terminplanung
- Werkzeuge für Projektmanagement
- Qualitätsmanagement und Projektkontrolle
- Rollen im Projekt
- Klassisches Projektmanagement
- Agiles Projektmanagement (z. B. Scrum und KANBAN)
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[ 2.7695e-02, -5.2338e-03, 7.8049e-03, ..., -1.6937e-02,
-1.0689e-02, -1.2527e-02],
[-1.3863e-02, 2.3422e-03, 2.1393e-02, ..., -3.9444e-03,
1.2177e-02, 7.6714e-03],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[ 0.0748, 0.0703, 0.0652, ..., -0.1011, -0.0296, 0.0200],
[-0.0559, -0.0044, 0.0685, ..., -0.0376, 0.0089, 0.0362],
[ 0.0047, -0.0136, -0.0108, ..., 0.0080, -0.0107, -0.0045]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[ 0.0874, 0.0742, 0.1726, ..., -0.1440, -0.1161, -0.0154],
[-0.0733, 0.0177, 0.0623, ..., 0.0084, -0.0149, 0.0662],
[ 0.0734, 0.0072, -0.0344, ..., 0.0122, -0.0092, 0.0233]]])
3: tensor([[[-1.9800e-01, -3.3942e-01, -4.2058e-02, ..., 2.4201e-01,
-1.8482e-03, 2.3642e-01],
[ 6.3164e-03, -1.1051e-01, 1.2247e-01, ..., 1.1971e-01,
-1.1239e-01, -1.1990e-01],
[ 5.6959e-02, -1.7716e-02, 2.3296e-01, ..., 1.0118e-01,
-1.5980e-01, -1.2152e-01],
...,
[ 2.4781e-01, 3.3280e-01, 1.9939e-01, ..., -2.5899e-01,
1.1909e-02, -1.2168e-01],
[ 1.7234e-02, 3.7844e-02, 1.4878e-01, ..., 5.1355e-02,
-7.9053e-03, 2.0182e-02],
[ 1.5468e-01, -2.6562e-02, -2.2344e-02, ..., -2.0226e-04,
-4.1539e-02, 4.2955e-02]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[ 0.1263, 0.4558, 0.2564, ..., -0.1877, -0.0121, -0.0159],
[-0.0470, 0.0389, 0.1301, ..., -0.0303, -0.0154, 0.1889],
[ 0.1373, -0.0570, -0.0419, ..., -0.0145, -0.1655, 0.1914]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[-0.0485, 0.4662, 0.3228, ..., -0.0378, -0.0257, -0.0039],
[ 0.0798, 0.0826, -0.0354, ..., -0.0689, -0.3923, 0.2026],
[ 0.2263, -0.0702, -0.1425, ..., -0.0225, -0.2694, 0.3229]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[ 0.1508, 0.4812, 0.4411, ..., 0.0786, 0.1428, -0.2134],
[-0.0691, 0.0504, -0.0182, ..., -0.0811, -0.1106, 0.1646],
[ 0.1566, -0.1152, -0.0665, ..., -0.1397, -0.2368, 0.3046]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[ 0.2229, 0.6357, 0.3740, ..., 0.1690, 0.1877, -0.3997],
[-0.1607, 0.2343, -0.0495, ..., 0.2035, 0.0382, 0.0018],
[ 0.0357, -0.0888, 0.1156, ..., 0.0388, -0.1388, 0.2677]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[ 0.0315, 0.3385, 0.3858, ..., 0.1909, 0.0780, -0.6512],
[-0.1054, 0.1577, -0.1096, ..., 0.4957, -0.0605, -0.1635],
[ 0.4189, -0.0965, 0.1885, ..., 0.2090, -0.2078, 0.3532]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[-2.3666e-01, 6.2880e-01, 4.8647e-01, ..., 1.2145e-01,
8.4251e-02, -7.2516e-01],
[-1.5492e-01, 8.3558e-02, -3.4744e-01, ..., 3.9542e-01,
-1.4208e-01, -4.6048e-02],
[-1.6465e-01, -4.4199e-01, 5.3484e-02, ..., 3.0476e-01,
-1.9628e-01, 5.4139e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[-0.6668, 0.4003, 0.3641, ..., 0.1531, -0.0177, -0.5707],
[-0.0481, 0.0353, -0.7790, ..., 0.4532, -0.0326, 0.1803],
[-0.0079, -0.2203, -0.0050, ..., 0.2738, -0.6160, 0.6555]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[-0.7319, 0.1304, 0.6598, ..., 0.0418, 0.2797, -0.7095],
[-0.4208, 0.0043, -0.7835, ..., 0.1740, 0.0237, 0.0131],
[ 0.1015, -0.1348, 0.1515, ..., 0.3820, -0.8084, 0.2014]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[-0.6410, 0.0884, 0.6342, ..., 0.2623, 0.1768, -1.0290],
[-0.4784, -0.0818, -0.4860, ..., 0.4227, -0.2477, 0.2272],
[ 0.1852, -0.4130, 0.0810, ..., 0.5568, -0.8279, -0.1184]]])
13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527],
[-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285],
[-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837],
...,
[-1.2399, 0.0437, 0.8962, ..., 0.1143, 0.1167, -1.2546],
[-0.8845, -0.6290, -1.0012, ..., 0.4641, -0.5627, 0.0163],
[ 0.1607, -0.8248, 0.2493, ..., 0.0191, -0.9002, 0.4308]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[-1.0044, 0.4075, 0.8488, ..., 0.3505, 0.2822, -1.3675],
[-0.5590, -0.9327, -0.8448, ..., 0.3439, -0.3738, -0.0991],
[ 0.5310, -1.1615, 0.0803, ..., 0.4015, -0.7725, 0.1882]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[-1.1348, 0.4534, 0.8851, ..., 0.2094, 0.3947, -1.0662],
[-0.9455, -0.7548, -1.4074, ..., 0.2942, -0.4250, -0.0263],
[ 0.9266, -1.0409, -0.2234, ..., 0.1733, -0.6034, 0.3019]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[-1.4372, 0.0675, 0.6423, ..., 0.4675, 0.4281, -1.7433],
[-0.9768, -0.6885, -1.6630, ..., 0.0146, -0.4741, -0.0231],
[ 0.7239, -1.3150, 0.0261, ..., 0.1394, -1.3166, 0.6255]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[-1.7529, 0.0035, 1.1181, ..., 0.3307, 0.5912, -2.0479],
[-1.5195, -0.9020, -1.4265, ..., -0.5236, -0.3849, 0.0936],
[ 0.0829, -0.9586, 0.0967, ..., -0.2044, -1.0705, 0.7106]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[-1.4035, 0.2749, 0.6651, ..., -0.2234, 0.8108, -2.0822],
[-1.4032, -0.5164, -1.5834, ..., -0.9917, -0.4092, -0.0538],
[ 0.0274, -0.9801, -0.0499, ..., 0.3523, -1.4433, 0.2636]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[-1.0759, 0.0421, 0.5063, ..., -0.6837, 0.8078, -2.3586],
[-1.3534, -1.1179, -1.7493, ..., -1.4582, -0.6614, -0.0756],
[-0.2008, -1.5560, -0.6367, ..., 0.0503, -1.3935, 0.0484]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[-0.5972, 0.1977, 0.1433, ..., -0.9781, 1.6239, -2.5629],
[-1.2919, -0.9536, -1.8125, ..., -1.5579, -0.3942, -0.2705],
[ 0.0519, -2.1947, 0.0354, ..., 0.0071, -1.1920, -0.3691]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[-0.9749, 0.4588, 0.5539, ..., -1.1444, 2.0389, -3.1276],
[-1.5225, -1.4084, -1.9914, ..., -1.2132, -0.4758, -1.1141],
[-0.0667, -2.5696, -0.0958, ..., -0.1260, -1.5348, -0.2818]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[-0.9118, 1.0479, 0.6513, ..., -0.7210, 1.9729, -2.9979],
[-1.7931, -1.9139, -2.0770, ..., -1.3370, 0.1642, -1.4397],
[-0.5033, -2.3731, 0.2662, ..., -0.3064, -1.4776, 0.2932]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[-0.6172, 1.0251, 0.3575, ..., -1.3167, 0.8852, -4.1214],
[-1.1894, -1.9865, -1.9900, ..., -2.2698, -0.1269, -1.6651],
[-0.3339, -1.7235, -0.0268, ..., -0.3457, -1.5030, -0.2371]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[ 0.2733, 1.2425, 0.8600, ..., -1.4641, 1.4635, -4.2110],
[-0.8949, -1.7802, -2.3688, ..., -3.2805, -0.0283, -1.4076],
[-0.2351, -1.6045, 0.2138, ..., -0.4642, -1.2159, -0.2742]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[-0.2220, 0.9389, 1.2029, ..., -1.8964, 2.0706, -3.9357],
[-0.8862, -1.4651, -2.6995, ..., -3.7711, -0.2044, -1.6786],
[-0.1161, -0.7137, -0.2014, ..., -0.7110, -1.6061, -1.1093]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[ 0.0400, 0.1203, 0.8608, ..., -1.1858, 2.2087, -4.7772],
[-0.7713, -2.0117, -3.1223, ..., -2.9135, -0.3888, -2.1989],
[-0.8566, -0.8174, -0.5389, ..., -0.3742, -2.1508, -1.2949]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[ 0.0976, -0.1537, 0.7916, ..., -1.2162, 2.2180, -4.7601],
[-1.5316, -2.8800, -3.1318, ..., -3.4929, -0.1576, -2.2942],
[-1.1866, -1.0948, -0.4757, ..., 0.3400, -1.4568, -1.0372]]])
28: tensor([[[ 5.7670e-01, -9.1130e-01, 1.8270e-01, ..., 2.4412e-01,
-5.8494e-01, 2.6317e-01],
[ 4.5957e-01, -2.2676e+00, 3.1387e-02, ..., -7.7818e-01,
-3.3262e+00, 7.4180e-01],
[ 3.4506e-01, -2.3089e+00, 6.2453e-01, ..., -9.1803e-01,
-1.8190e+00, 1.0701e-01],
...,
[-1.8299e-03, -3.2630e-01, 7.7237e-01, ..., -9.6295e-01,
2.3832e+00, -4.7354e+00],
[-1.8032e+00, -3.5989e+00, -3.2800e+00, ..., -3.1327e+00,
-1.0971e-01, -2.3009e+00],
[-5.4889e-01, -1.0750e+00, -5.0660e-01, ..., 6.1660e-01,
-1.1483e+00, -1.4729e+00]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[-0.9035, -0.8116, 1.6184, ..., -0.5450, 2.5339, -5.1009],
[-2.1065, -4.7195, -2.9377, ..., -3.1507, 0.0503, -2.5569],
[-0.5019, -1.3827, -0.5970, ..., 0.4833, -1.8374, -1.8818]]])
30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01,
-7.3406e-01, 1.7867e-01],
[ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01,
-3.7438e+00, 4.4429e-01],
[ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01,
-1.8399e+00, 4.5765e-03],
...,
[-1.1825e+00, -1.6518e+00, 8.1438e-01, ..., -9.0278e-01,
2.9122e+00, -5.9186e+00],
[-1.8331e+00, -4.7280e+00, -3.2541e+00, ..., -3.0881e+00,
-1.7952e-01, -2.4348e+00],
[-5.1976e-01, -1.0773e+00, -8.0826e-01, ..., 7.1656e-01,
-1.5054e+00, -2.3102e+00]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[-0.6195, -1.6927, 1.5699, ..., -1.1008, 2.7108, -5.6640],
[-1.2799, -5.1184, -2.2628, ..., -3.4136, -0.3258, -1.7796],
[-0.8033, -0.7108, 0.3586, ..., -0.4388, -0.8952, -1.6078]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[-0.2734, -1.2140, 1.4870, ..., -0.9130, 2.7025, -5.5403],
[-1.8249, -4.9540, -1.7549, ..., -4.3232, -0.6870, -1.5157],
[-1.5955, -1.0678, -0.1473, ..., -0.8292, -1.0732, -2.1532]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[-0.8107, -1.9115, 1.8717, ..., -1.2408, 3.1592, -4.5415],
[-2.2238, -4.9518, -1.2659, ..., -4.2798, -0.2664, -1.1760],
[-1.4281, -0.2985, -0.2363, ..., -0.7182, -0.7183, -1.5371]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[-0.5706, -2.4820, 1.7416, ..., -0.7874, 2.2953, -4.3466],
[-2.2354, -4.8924, -1.2873, ..., -5.1614, -0.4858, -0.6911],
[-1.4506, -0.1318, 0.4120, ..., -1.5925, -0.3865, -1.1075]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[-0.6596, -2.5245, 0.0901, ..., 0.2528, 1.6974, -4.8327],
[-1.7658, -5.2280, -0.9198, ..., -5.1154, -0.5613, -1.3889],
[-1.0905, -0.2760, 0.1588, ..., -2.1995, -0.6276, -1.9983]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[-1.7443, -2.1189, -0.6129, ..., 1.4108, 2.8206, -4.7465],
[-1.4146, -5.4924, -2.2576, ..., -4.0968, 0.0671, -1.8173],
[-0.9617, -1.0297, 0.7250, ..., -2.4868, -0.4419, -2.5276]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[-1.0636, -2.3266, -0.1926, ..., 1.0770, 3.6616, -4.1950],
[-1.0363, -5.5816, -1.8370, ..., -4.2395, -0.6557, -2.0237],
[-0.5368, -1.4081, 1.3754, ..., -2.5919, 0.2325, -3.0354]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[-1.7148, -1.9001, -1.2880, ..., 2.1939, 3.5369, -4.2569],
[-0.5613, -5.2890, -3.4374, ..., -4.3259, -0.4067, -3.3002],
[-0.2346, -1.4704, 1.8017, ..., -3.7730, 1.4009, -3.1823]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[-1.7814, -2.4368, -3.2770, ..., 2.5681, 3.5024, -4.5263],
[-1.4068, -3.2408, -4.1971, ..., -2.0128, -1.6525, -3.3318],
[ 0.5433, -1.3932, 3.4837, ..., -3.4471, -0.1755, -4.8689]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[-0.7238, -0.6798, -2.2171, ..., 0.4116, 0.8068, -0.7546],
[-0.3050, -0.1054, -0.4711, ..., 0.3687, 0.3955, -0.4804],
[-0.5692, -0.5692, -0.1990, ..., -0.9908, -0.5485, -1.1331]]])
Query: - Parallelität und Nebenläufigkeit, Prozesse, Threads, Co-Routinen/Fibers
- Thread-Konzepte in Java
- kritische Abschnitte aufgrund konkurrierenden Zugriffs auf Daten in Java, gegenseitiger Ausschluss mit syn-
chronized (intrinsic lock)
- Deadlocks, Signalisieren (wait/notify) und Bedingungsvariablen (await/signal), Lebenszyklus von Threads, In-
terrupts
- Thread Pools, Callable, Future und FutureTask
- Java Speichermodell bei Nebenläufigkeit, Memory Barriers
- Locks (ReentrantLock, ReadWriteLock, StampedLock) und Semaphore
- synchronisierte, unmodifiable und concurrent Collections in Java
- atomare Variablen und ihre Verwendung
- weitere Architekturen und Frameworks für nebenläufige und parallele Programmierung in Java und ggf. ande-
ren Programmiersprachen: z. B. Actor Model, Communicating Sequential Processes, Fork-Join, Map-Reduce,
Parallel Streams, Software Transactional Memory, RxJava, Datenparallelismus: GPGPU (OpenCL oder CUDA)
- Performanzbetrachtungen
- Entwurfsmuster (für nebenläufige und parallele Programme)
- Praktische Übungen zur Implementierung asynchroner, nebenläufiger und paralleler Algorithmen mit Java und
ggf. anderen Programmiersprachen
Modulhandbuch – Fakultät für Informatik
25
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[-1.9775e-02, -1.0178e-02, -4.5624e-03, ..., 1.0338e-03,
2.7905e-03, -1.1627e-02],
[ 1.9211e-02, 1.5564e-03, -2.3621e-02, ..., 2.1683e-02,
1.7548e-02, -2.1729e-02],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[-0.0257, -0.0361, -0.0190, ..., -0.0356, 0.0262, -0.0245],
[ 0.0433, -0.0124, 0.0153, ..., 0.0127, 0.0349, -0.0291],
[ 0.0286, -0.0209, -0.0245, ..., 0.0179, -0.0230, 0.0222]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[-0.0236, -0.0160, -0.0527, ..., -0.1111, 0.1063, -0.0160],
[ 0.0954, 0.0200, 0.0965, ..., 0.0387, 0.0428, 0.0122],
[ 0.0933, -0.0092, -0.0011, ..., 0.0028, -0.0180, 0.0434]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[-0.0110, 0.0051, -0.0247, ..., -0.1499, 0.1970, -0.0023],
[ 0.0579, 0.2149, 0.2485, ..., 0.0968, -0.0413, 0.1189],
[ 0.1069, -0.0260, 0.0321, ..., 0.0945, -0.0344, 0.0915]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[-0.0527, 0.0683, 0.0039, ..., -0.1141, 0.2087, -0.0520],
[ 0.0489, 0.1594, 0.2964, ..., 0.1154, -0.0190, 0.2327],
[ 0.2429, 0.1522, -0.0802, ..., 0.2282, -0.1122, 0.2593]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[ 0.0029, 0.0994, -0.0053, ..., -0.0993, 0.2524, -0.0975],
[-0.0197, 0.2411, 0.3011, ..., 0.1415, 0.0444, 0.2755],
[ 0.2028, 0.1498, -0.2103, ..., -0.0603, -0.0925, 0.3479]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[ 0.0597, 0.0389, -0.0428, ..., 0.0954, 0.5181, 0.0661],
[-0.0306, 0.1198, 0.2124, ..., 0.2360, 0.2258, 0.2166],
[ 0.1593, -0.0389, 0.0217, ..., 0.1563, 0.0711, 0.4819]]])
7: tensor([[[ 2.5408e-01, -1.0928e+00, -5.3482e-01, ..., 2.6011e-01,
-6.1664e-02, 3.3160e-01],
[-1.2719e-01, -4.8139e-01, 7.0442e-01, ..., 2.2406e-01,
-2.7598e-01, -1.4364e-01],
[-6.3160e-02, -1.7604e-01, 3.8047e-01, ..., 1.5926e-01,
-3.3858e-01, -4.0458e-01],
...,
[ 8.0302e-03, 3.2705e-02, -4.5264e-02, ..., 2.5862e-01,
3.0696e-01, 1.4670e-01],
[ 6.7935e-02, 6.2001e-04, 2.6968e-01, ..., 3.3829e-01,
8.0350e-02, 1.6495e-01],
[ 4.2290e-01, -5.0925e-02, -5.9258e-02, ..., 3.5286e-01,
9.3511e-02, 6.2515e-01]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[-0.0700, 0.0083, -0.0403, ..., 0.2391, 0.2314, 0.1419],
[-0.0718, -0.0473, 0.3967, ..., 0.1831, 0.0092, 0.1770],
[ 0.4262, -0.3135, 0.0513, ..., 0.1049, 0.0885, 0.5722]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[-2.6307e-01, -1.7056e-01, -4.3617e-02, ..., 3.0897e-01,
2.0606e-01, 1.3405e-02],
[ 1.8381e-02, -2.1687e-01, 2.5992e-01, ..., -3.1410e-02,
3.6023e-03, 2.1723e-01],
[ 3.1038e-01, -6.5296e-01, 9.4363e-02, ..., -5.4944e-03,
1.1601e-01, 4.2772e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[-0.1633, -0.2057, -0.0964, ..., 0.0256, 0.3722, 0.1502],
[ 0.1772, 0.0187, 0.5296, ..., 0.0344, 0.0664, 0.1029],
[ 0.4706, -0.4694, 0.2339, ..., 0.1524, 0.1676, 0.4693]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[ 0.0546, -0.3430, 0.1290, ..., 0.1881, 0.4811, 0.0466],
[ 0.2617, -0.0493, 0.6550, ..., 0.1622, -0.0140, 0.4002],
[ 0.4479, -0.3229, 0.1234, ..., 0.3442, 0.1175, 0.5085]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[ 0.2804, -0.3995, -0.1112, ..., 0.5107, 0.2837, 0.2996],
[ 0.4276, -0.0807, 0.8206, ..., 0.3388, -0.3276, 0.4939],
[ 0.3392, -0.3901, 0.2463, ..., 0.2515, -0.0393, 0.5089]]])
13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527],
[-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285],
[-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837],
...,
[ 0.5646, -0.2234, -0.0983, ..., 0.3591, 0.0657, 0.5003],
[ 0.3027, -0.0750, 0.7211, ..., 0.1147, -0.5645, 0.5931],
[ 0.6018, -0.1451, 0.0027, ..., 0.2327, -0.0499, 0.8734]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[ 0.2002, -0.2017, 0.0544, ..., 0.3127, 0.4296, 0.1164],
[-0.1676, -0.1890, 1.1848, ..., 0.4364, -0.3594, 0.4031],
[ 0.0622, -0.0990, 0.1733, ..., 0.3460, 0.7420, 1.0598]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[ 0.8666, -0.4601, -0.4046, ..., 0.5764, 0.4993, 0.5901],
[ 0.3645, -0.2888, 0.9826, ..., 0.7413, -0.4125, 0.7845],
[ 0.2904, -0.0444, 0.0251, ..., 0.2395, 0.8943, 0.9224]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[ 0.5621, -0.8556, -0.4970, ..., 0.4395, 0.4629, 0.1561],
[ 0.4581, -0.5397, 0.7718, ..., 0.2914, -0.4193, 0.6108],
[-0.0135, -0.5741, 0.1585, ..., 0.2994, 0.8489, 0.7519]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[ 0.4294, -1.0954, 0.1128, ..., 0.4846, 0.8212, 0.4117],
[ 0.1902, -0.4904, 1.3293, ..., 0.1344, -0.2085, 0.6674],
[-0.2780, -0.3890, 0.3383, ..., 0.6365, 0.7686, 0.6389]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[ 0.1873, -1.2974, -0.5212, ..., 0.7614, 0.0522, 0.3124],
[ 0.2120, -0.4175, 1.4274, ..., 0.3261, -0.8347, 0.4534],
[-0.3153, -0.6154, -0.1335, ..., 0.8345, 0.2224, 0.3150]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[ 0.4438, -0.9431, -1.2554, ..., 0.4474, 0.1060, 0.6073],
[ 0.7571, -0.3714, 0.1528, ..., 0.0722, -0.5252, 0.8125],
[-0.6274, -0.9405, -0.7470, ..., 0.7653, -0.0740, 0.3956]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[ 0.5040, -1.3239, -0.8335, ..., 1.1806, -0.0240, 0.8442],
[ 0.8014, -0.6137, 0.3718, ..., 0.6061, -0.6558, 0.9306],
[-1.0188, -1.1717, -0.7035, ..., 1.0342, -0.3807, 0.3306]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[ 0.1360, -1.0559, -0.8207, ..., 1.4957, -0.2596, 1.3029],
[ 0.1269, 0.3921, 0.1876, ..., 1.1052, -0.5648, 0.8484],
[-1.4495, -0.4137, -0.6485, ..., 1.1495, -0.7169, 0.4619]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[-0.2205, -1.2582, -1.0321, ..., 1.4609, -0.8548, 1.4828],
[-0.0759, 0.6079, 0.2169, ..., 0.4612, -0.3859, 1.4195],
[-1.7526, -0.3147, -0.8147, ..., 1.2751, -0.8956, 0.7820]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[-0.5344, -1.4865, -1.0688, ..., 1.3505, -0.9523, 1.0583],
[-0.5184, 0.5954, 0.8178, ..., 0.6049, -0.6337, 1.1228],
[-1.7910, -0.3828, -1.0884, ..., 0.8385, -0.8274, 0.2073]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[-0.5901, -1.3264, -1.0985, ..., 1.4394, -0.7829, 0.2597],
[-0.4505, 0.4808, 0.6680, ..., 1.2345, -0.5102, 0.4809],
[-2.2505, -0.8051, -1.6093, ..., 0.9591, -0.8442, -0.3576]]])
25: tensor([[[ 4.9750e-01, -1.1003e+00, 2.2737e-01, ..., 1.5806e-01,
-4.5602e-01, 4.4824e-01],
[ 4.0992e-01, -2.1553e+00, -2.9907e-02, ..., -4.2417e-01,
-2.9810e+00, 1.2847e-01],
[ 1.4887e-01, -1.9066e+00, 3.9256e-01, ..., -1.2392e+00,
-1.9434e+00, -3.8653e-02],
...,
[-7.5176e-01, -1.5464e+00, -2.0242e+00, ..., 1.1191e+00,
-3.5110e-01, -7.6173e-04],
[ 1.3846e-02, 1.0182e+00, 9.1132e-02, ..., 1.4399e+00,
1.4756e-02, 5.9449e-01],
[-1.9079e+00, -1.4740e-01, -1.5574e+00, ..., 1.1603e+00,
-8.5918e-01, -5.0142e-01]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[-0.0410, -0.5971, -2.2626, ..., 1.6437, -0.0623, -0.5078],
[ 0.1415, 1.8559, -0.2739, ..., 1.6495, 0.3638, 0.8800],
[-1.7901, 0.7373, -1.8168, ..., 1.9184, -1.5438, -0.6294]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[-0.9759, -1.3027, -2.7654, ..., 2.1970, 0.5513, 0.1346],
[-0.6577, 1.3623, -0.2760, ..., 2.6300, -0.1187, 1.5291],
[-2.4118, 0.0046, -1.5792, ..., 2.5820, -1.3612, -0.2311]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[-1.4233, -1.7791, -2.3672, ..., 2.2751, 0.6167, -0.1342],
[-1.0113, 1.4397, -0.4615, ..., 2.0913, 0.4890, 1.0498],
[-2.4072, 0.2263, -1.5277, ..., 2.8378, -1.4420, 0.0062]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[-1.9869, -1.6784, -2.5164, ..., 2.5455, 0.5645, -0.6000],
[-1.4835, 1.2904, -0.6465, ..., 2.1560, 0.8789, 0.5026],
[-2.8272, 0.3131, -1.5172, ..., 3.4839, -1.7699, -0.5423]]])
30: tensor([[[ 0.6667, -0.9469, 0.2013, ..., 0.1957, -0.7341, 0.1787],
[ 0.8239, -2.3207, 0.0694, ..., -0.7621, -3.7438, 0.4443],
[ 0.5519, -1.9823, 0.4187, ..., -0.8991, -1.8399, 0.0046],
...,
[-1.5220, -1.5912, -1.6866, ..., 1.8789, 1.2957, -0.8956],
[-2.5509, 1.8446, -0.5503, ..., 2.0715, 1.8554, 0.3668],
[-2.7800, 0.8107, -1.6471, ..., 3.6905, -1.1563, -0.8048]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[-1.3856, -1.3337, -0.5481, ..., 1.4908, 1.6494, -0.1904],
[-2.0361, 2.4475, 0.4056, ..., 1.0386, 2.0063, 1.4920],
[-2.4024, 1.0953, -1.1626, ..., 3.0705, -1.6469, 0.2237]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[-1.4595, -1.5737, -0.8021, ..., 1.4094, 1.6502, -0.2909],
[-2.7175, 2.3821, 0.9399, ..., 1.1213, 2.4524, 0.5656],
[-3.1499, 0.8224, -0.7021, ..., 2.8987, -1.4834, -0.4824]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[-1.8059, -1.4392, -0.9640, ..., 1.9722, 1.6981, 0.1354],
[-2.8234, 2.8340, 1.0806, ..., 0.8274, 3.0489, 1.5137],
[-3.6579, 1.2000, -1.3312, ..., 3.4730, -0.9750, -0.1051]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[-1.6045, -1.4103, -0.8730, ..., 1.8194, 2.1596, -0.2127],
[-2.7728, 3.0174, 1.4115, ..., 1.0426, 3.1885, 2.4229],
[-3.8641, 1.8654, -1.0810, ..., 3.3405, -1.1103, 0.9218]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[-1.9144, -1.8381, -1.4676, ..., 2.0011, 1.9600, -0.5556],
[-2.9947, 2.5877, 0.9072, ..., 1.4055, 2.6267, 2.2437],
[-3.7733, 2.2387, -1.6002, ..., 3.8373, -0.9946, 0.5517]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[-1.9898, -2.5374, -0.9928, ..., 2.3309, 0.8328, -0.1657],
[-2.6994, 2.1395, 1.3529, ..., 1.6038, 1.3369, 2.0990],
[-3.8354, 1.3300, -1.4227, ..., 3.9060, -3.0181, 0.0838]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[-3.0407, -3.5352, -0.7436, ..., 2.3878, 0.6008, -1.0396],
[-3.0988, 1.4671, 1.7932, ..., 0.2465, 1.7020, 0.6110],
[-3.9784, 0.2454, -1.3444, ..., 3.3892, -2.1770, -0.3099]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[-2.7162, -3.6568, -0.2801, ..., 1.5569, -0.5864, -1.7826],
[-3.4980, 2.1337, 2.4223, ..., -0.2469, 0.1495, 0.8450],
[-3.5012, -0.3025, -0.9156, ..., 3.4120, -2.3986, -0.0935]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[-2.5299, -4.2639, -1.3151, ..., 2.8263, -2.0737, -2.3630],
[-3.3274, 0.3638, 1.5120, ..., 2.4251, -0.5633, -0.2580],
[-2.7056, -0.7525, -0.5690, ..., 4.6096, -3.4630, -0.1801]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[-1.0000, -1.0259, -1.0993, ..., 0.2243, -0.8988, -0.2739],
[-1.2126, -0.2452, -0.8164, ..., 0.3338, -0.3592, 0.1959],
[-1.1320, -0.3460, -0.8497, ..., 0.7005, -0.4503, 0.3224]]])
Query: - Benutzung einer integrierten Entwicklungsumgebung (IDE), inklusive Debugger, Versionsverwaltung, automa-
tisierte Tests
- Konstrukte der imperativen Programmierung: Zuweisung, Bedingung, Schleife, Array, (statische) Methode und
Parameter, Rekursion, RuntimeException
- Speicherverwaltung (Stack und Heap)
- Konstrukte der objektorientierten Programmierung: Klasse, Objekt, Attribut, (dynamisch gebundene) Methode
- Interfaces und ihre Implementierung
- Vererbung, Polymorphismus
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[ 6.2561e-03, -4.3297e-03, -3.0716e-02, ..., -8.3923e-03,
-3.6287e-04, 6.7940e-03],
[ 1.3321e-02, -1.0612e-02, 1.9852e-02, ..., -1.3893e-02,
3.0884e-02, -3.7323e-02],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[-0.0518, 0.0464, 0.0031, ..., -0.0857, 0.0179, 0.0314],
[ 0.0569, 0.0220, 0.0354, ..., -0.1350, -0.0732, -0.0957],
[ 0.0043, -0.0112, -0.0243, ..., 0.0294, -0.0253, -0.0077]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[ 0.0800, -0.0466, -0.0686, ..., 0.0512, -0.0601, 0.0772],
[ 0.0996, -0.0679, -0.0053, ..., -0.0736, -0.1231, -0.1825],
[ 0.0512, -0.0066, -0.0150, ..., 0.0318, -0.0294, 0.0137]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[ 0.2494, -0.0026, -0.0677, ..., -0.0381, 0.0745, -0.0910],
[ 0.3056, -0.1493, 0.1111, ..., -0.1605, -0.1693, -0.0652],
[ 0.0752, -0.0498, 0.0407, ..., 0.0182, -0.0362, 0.0728]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[ 0.2406, 0.2166, -0.0931, ..., -0.0727, 0.2990, -0.1414],
[ 0.2364, -0.0223, 0.1975, ..., -0.3686, -0.0272, -0.0270],
[ 0.0629, -0.0562, -0.0035, ..., 0.1251, -0.0483, 0.1731]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[ 0.3552, -0.2941, -0.2620, ..., -0.0572, 0.2972, -0.1445],
[ 0.4218, -0.3178, 0.0473, ..., -0.5098, 0.0701, -0.0629],
[ 0.0367, -0.2105, -0.0292, ..., -0.0429, -0.0988, 0.1594]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[ 0.3241, -0.3932, -0.3095, ..., 0.0098, 0.5435, -0.3743],
[ 0.5566, -0.2693, 0.2179, ..., -0.3628, 0.3396, -0.3939],
[-0.0548, 0.0085, 0.1298, ..., 0.0482, 0.0424, 0.2413]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[ 0.0280, -0.4435, -0.6161, ..., 0.2994, 0.5601, -0.4625],
[ 0.4408, -0.2854, 0.0440, ..., -0.0597, 0.5932, -0.2005],
[-0.1465, 0.0153, 0.1947, ..., 0.2743, 0.0191, 0.0765]]])
8: tensor([[[ 1.7744e-01, -1.0197e+00, -5.5202e-01, ..., 2.1911e-01,
-7.4777e-02, 3.1519e-01],
[-2.7662e-01, -5.2568e-01, 8.5117e-01, ..., -2.2344e-03,
-4.8378e-01, -1.3226e-01],
[-4.5867e-02, -1.7939e-01, 4.2289e-01, ..., 3.4982e-01,
-4.0342e-01, -4.6520e-01],
...,
[ 8.4518e-02, -6.5072e-01, -6.7599e-01, ..., -2.8214e-04,
7.4727e-01, -3.2714e-01],
[ 7.8141e-01, -4.2100e-01, -3.8100e-01, ..., -2.7671e-01,
8.8057e-01, -3.9993e-01],
[-1.1617e-01, 1.5510e-02, 9.0144e-03, ..., 2.2656e-01,
1.8315e-01, 3.4409e-01]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[ 2.5890e-01, -8.1049e-01, -6.1663e-01, ..., 1.0131e-01,
8.8164e-01, -4.5695e-01],
[ 5.3196e-01, -4.2753e-01, -1.7606e-01, ..., -3.5020e-02,
9.5330e-01, -6.5877e-01],
[-2.6413e-01, 3.2955e-01, 3.2824e-01, ..., -2.4627e-01,
3.3329e-01, 3.1610e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[ 0.1592, -0.4621, -0.7230, ..., 0.2490, 0.7610, -0.3683],
[ 0.5410, -0.1202, -0.5707, ..., -0.0120, 1.1636, -0.3637],
[-0.1953, 0.6078, 0.1845, ..., -0.2997, -0.0538, 0.3917]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[-0.2590, -0.4773, -0.8725, ..., 0.3637, 0.4276, -0.3591],
[ 0.0500, -0.0265, -0.5938, ..., -0.0889, 1.1189, -0.6880],
[-0.4658, 0.3202, 0.3378, ..., -0.2187, -0.2572, 0.4964]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[ 0.0604, -0.2798, -0.7109, ..., -0.1121, 0.7112, -0.5750],
[ 0.1577, -0.3481, -0.4080, ..., -0.3570, 1.1442, -0.6109],
[-0.3515, -0.2615, 0.2388, ..., -0.5715, -0.1345, 0.3371]]])
13: tensor([[[ 2.5794e-01, -1.0105e+00, -5.3911e-01, ..., -3.4954e-02,
-2.0185e-01, 4.5267e-01],
[-6.4005e-01, -7.8039e-01, 1.3922e-03, ..., 1.2504e-01,
-3.1000e-01, 1.2849e-01],
[-6.0393e-02, -9.7953e-01, 4.2703e-01, ..., 1.7716e-01,
-6.6826e-01, -4.8370e-01],
...,
[ 8.6446e-02, -4.9753e-02, -1.1290e+00, ..., -1.6406e-01,
6.3343e-01, -2.4643e-01],
[ 1.4016e-01, -4.8973e-01, -4.5123e-01, ..., -9.8427e-02,
1.5187e+00, -5.9835e-01],
[-3.8934e-01, -7.7117e-01, -4.5089e-01, ..., -3.5220e-01,
-2.5865e-01, 4.2437e-01]]])
14: tensor([[[ 2.7874e-01, -1.0211e+00, -4.8583e-01, ..., -7.1688e-02,
-6.5471e-02, 3.9639e-01],
[-6.7533e-01, -9.6769e-01, 4.0668e-02, ..., -7.4380e-02,
-4.9728e-01, -2.1529e-01],
[-2.2008e-01, -9.0994e-01, 2.6183e-01, ..., 8.9492e-02,
-6.6340e-01, -9.8226e-01],
...,
[ 2.2504e-01, -3.1181e-01, -9.2367e-01, ..., -2.3521e-01,
8.9348e-01, -6.9141e-01],
[ 6.2904e-01, -7.3386e-01, -6.3646e-01, ..., -4.0918e-01,
1.6825e+00, -6.4381e-01],
[ 4.3020e-05, -7.4651e-01, -2.3647e-01, ..., -3.2632e-01,
5.7116e-02, 3.4137e-01]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[ 0.2541, -0.2750, -0.8746, ..., 0.4122, 1.1198, -0.8986],
[ 0.1616, -1.0451, -0.7977, ..., -0.2793, 2.0664, -0.6985],
[ 0.1219, -0.8383, -0.7712, ..., -0.1337, -0.0850, 0.1830]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[ 0.1918, -0.6460, -1.1026, ..., 0.2409, 1.1076, -0.9802],
[-0.0982, -1.2364, -1.2873, ..., -0.5881, 2.1332, -0.6677],
[ 0.0692, -1.5241, -0.8220, ..., -0.1707, 0.1522, 0.4245]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[ 0.2581, -0.2587, -1.5098, ..., 0.0136, 1.6918, -0.8180],
[-0.9332, -1.2267, -0.8127, ..., -0.4594, 2.5932, -0.9206],
[ 0.0456, -1.3589, -1.0074, ..., -0.0247, 0.3755, 0.1320]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[-0.0327, -0.2021, -1.6403, ..., -0.2948, 1.8402, -0.9125],
[-0.6185, -1.4845, -1.1156, ..., -1.2935, 2.4562, -1.1023],
[-0.1925, -1.2109, -0.9261, ..., 0.2076, -0.2592, -0.4008]]])
19: tensor([[[ 3.0254e-01, -1.2240e+00, -1.1377e-01, ..., 1.3727e-01,
-4.4626e-01, 8.6815e-01],
[ 3.9813e-01, -1.5456e+00, 3.2579e-01, ..., -1.8750e-01,
-1.6000e+00, -1.1540e+00],
[ 4.8154e-01, -1.4289e+00, -3.1729e-02, ..., -7.0834e-03,
-1.0063e+00, -1.0037e+00],
...,
[ 3.4511e-01, -6.3907e-01, -2.4454e+00, ..., -7.4804e-04,
2.2600e+00, -1.2744e+00],
[-4.3585e-01, -1.6739e+00, -1.6383e+00, ..., -1.5367e+00,
2.4194e+00, -9.2420e-01],
[ 8.5407e-02, -1.7445e+00, -1.8210e+00, ..., 1.7571e-01,
-3.1022e-01, -3.3677e-01]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[ 1.1131, -0.2674, -2.8321, ..., -0.2195, 2.8367, -1.4908],
[-0.5258, -1.2633, -1.5968, ..., -1.9458, 2.8483, -0.7515],
[ 0.2062, -2.2616, -1.4141, ..., 0.0397, -0.0275, -0.0961]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[ 0.8891, -0.2478, -2.8934, ..., -0.0338, 2.9074, -1.0678],
[-0.6974, -1.2693, -1.0208, ..., -1.5702, 3.2087, -0.9440],
[ 0.1323, -2.6685, -1.1650, ..., 0.2071, -0.3524, -0.3737]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[ 1.7470, -0.0537, -3.0119, ..., -0.0275, 3.1880, -1.2038],
[-0.7973, -0.5471, -0.9291, ..., -1.5424, 3.5445, -0.6956],
[-0.3479, -2.2513, -0.3376, ..., 0.2981, -0.4552, 0.4096]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[ 1.5817, -0.1571, -3.5050, ..., -0.5408, 3.6057, -1.0365],
[-0.8328, -0.1564, -1.1802, ..., -1.8647, 2.8201, -1.1686],
[-0.5330, -2.0135, -0.5958, ..., 0.1357, -0.4573, -0.0860]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[ 1.5161, -0.6692, -3.3808, ..., -0.4753, 4.3015, -0.4989],
[-0.5265, -0.4056, -1.3755, ..., -2.5629, 3.2727, -0.7898],
[-0.8121, -2.2992, 0.1689, ..., 0.1855, -0.2125, -0.1900]]])
25: tensor([[[ 4.9750e-01, -1.1003e+00, 2.2737e-01, ..., 1.5806e-01,
-4.5602e-01, 4.4824e-01],
[ 4.0992e-01, -2.1553e+00, -2.9907e-02, ..., -4.2417e-01,
-2.9810e+00, 1.2847e-01],
[ 1.4887e-01, -1.9066e+00, 3.9256e-01, ..., -1.2392e+00,
-1.9434e+00, -3.8653e-02],
...,
[ 1.2671e+00, -1.0439e+00, -3.0146e+00, ..., -4.9420e-01,
5.1336e+00, -6.3873e-01],
[-8.7157e-01, -3.7006e-01, -9.3230e-01, ..., -2.5598e+00,
3.0109e+00, 8.0780e-02],
[-3.5316e-01, -2.4351e+00, -4.0401e-01, ..., -2.3871e-01,
-7.0079e-01, -2.5904e-03]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[ 0.9461, -1.6268, -2.5969, ..., -0.4555, 5.1858, -0.3664],
[-0.5695, -1.0239, -0.4632, ..., -1.9280, 3.3397, -0.1338],
[-0.6743, -2.5481, -0.7173, ..., -0.6093, -0.9483, 0.4634]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[ 0.2048, -1.4300, -2.8923, ..., -1.2770, 5.4169, -0.4145],
[-0.4119, -1.0215, -1.2594, ..., -2.1001, 3.8726, 0.4676],
[-1.2805, -3.1239, -0.6940, ..., -0.0609, -0.1481, 0.7465]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[ 0.2510, -2.0728, -2.4506, ..., -0.4274, 5.8959, -1.1278],
[-0.1026, -1.7113, -1.8288, ..., -1.6302, 3.6958, 0.9507],
[-0.8449, -4.0338, -0.3865, ..., 0.2650, -0.0129, 0.3348]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[ 0.4648, -2.4061, -3.0885, ..., -0.6934, 6.1237, -1.4505],
[-0.4175, -2.0168, -2.4647, ..., -1.5577, 4.0946, 0.9947],
[-0.7016, -4.0297, -1.0205, ..., 0.7088, -0.5293, 0.0598]]])
30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01,
-7.3406e-01, 1.7867e-01],
[ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01,
-3.7438e+00, 4.4429e-01],
[ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01,
-1.8399e+00, 4.5765e-03],
...,
[ 7.6819e-01, -2.8110e+00, -3.0332e+00, ..., -1.3859e+00,
5.5210e+00, -1.7975e+00],
[ 6.4893e-03, -1.6682e+00, -3.1926e+00, ..., -1.8952e+00,
4.7403e+00, 1.3783e+00],
[-6.3846e-01, -3.4325e+00, -1.0866e+00, ..., 3.9981e-01,
-3.1143e-01, -3.8755e-01]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[ 0.9365, -3.3496, -2.2535, ..., -1.6021, 5.2417, -0.6439],
[ 0.3313, -2.7476, -2.4680, ..., -2.5094, 5.3191, 2.0988],
[-1.1988, -3.2279, 0.2587, ..., -0.1979, -0.0204, -0.0547]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[ 0.1051, -2.5783, -1.3162, ..., -2.2203, 5.5938, -0.7008],
[ 0.3298, -2.6773, -2.0555, ..., -2.8349, 5.9639, 1.7339],
[-2.3857, -3.8535, 0.3930, ..., -0.7935, 0.3117, -0.6238]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[-0.3390, -2.2437, -1.7588, ..., -2.6167, 5.7788, -0.7034],
[-0.0386, -3.1246, -1.6888, ..., -2.9834, 6.5360, 2.5163],
[-2.4268, -2.5865, 0.3698, ..., -0.4222, 1.0693, 0.1332]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[-1.5630, -0.7159, -1.5077, ..., -2.1762, 5.5606, -0.7084],
[ 0.5190, -2.7534, -1.9859, ..., -3.1148, 6.3014, 2.4836],
[-1.7318, -1.9869, 0.9704, ..., -0.8831, 1.3717, 0.3941]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[-1.2289, 0.3995, -1.8059, ..., -2.2856, 4.5948, -1.1875],
[ 0.6242, -3.1415, -2.5143, ..., -2.6151, 6.9108, 2.9908],
[-1.7868, -1.8382, 0.6199, ..., -1.8920, 1.9807, -0.4720]]])
36: tensor([[[ 7.5168e-01, -8.3976e-01, 6.3699e-01, ..., -4.4778e-02,
-7.8688e-01, -4.0149e-01],
[ 1.8548e+00, -2.4676e+00, -7.0953e-01, ..., -1.1532e+00,
-4.4559e+00, -9.9967e-01],
[ 1.2417e+00, -1.9971e+00, 1.5681e-01, ..., -1.1543e+00,
-2.6090e+00, 1.2917e-01],
...,
[-2.7038e+00, 7.5318e-01, -1.2057e+00, ..., -2.1370e+00,
3.4907e+00, -2.0167e-03],
[ 9.2078e-01, -2.4160e+00, -3.0673e+00, ..., -2.6327e+00,
8.2092e+00, 3.2183e+00],
[-1.9186e+00, -1.9033e+00, 1.3054e+00, ..., -2.8160e+00,
2.7040e+00, -9.5225e-01]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[-2.9987, 0.1650, -1.8253, ..., -1.0058, 3.6995, -1.1422],
[ 1.8327, -2.7978, -1.4278, ..., -4.0595, 7.6579, 3.5732],
[-2.3813, -2.8849, 2.0098, ..., -2.2924, 3.0640, -1.3987]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[-3.6718, 0.0903, -1.2764, ..., -1.6568, 1.7425, -0.6367],
[ 3.9897, -2.8906, -1.7595, ..., -4.1426, 8.0339, 1.8401],
[-2.2911, -2.7331, 2.8687, ..., -3.6880, 4.2364, -1.9230]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[-4.0008, 0.1119, -1.7638, ..., -0.9381, 2.3339, -0.7242],
[ 4.6660, -3.1123, -0.6423, ..., -3.0073, 7.7007, 3.5662],
[-1.7475, -2.4602, 4.1187, ..., -3.0683, 3.0824, -3.1800]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[-1.1242, 0.1363, -1.3021, ..., 0.7703, 0.9768, 0.0621],
[ 1.2506, -0.2049, -0.7179, ..., -0.1495, 2.1171, 1.0299],
[-0.9102, -0.5770, 0.0089, ..., -0.8650, 0.1478, -0.9033]]])
Query: - Objektorientierung / Klasse Object (Wiederholung) / Polymorphismus (Vertiefung)
- Innere Klassen und Lambdas
- Input/Output (Grundlagen)
- Exception Handling
- Grundlagen der Nebenläufigkeit (Threads)
- Generics (Grundlagen)
- Collection Framework
- Wichtige Datenstrukturen (Hash, Baum, Tries, Graphen)
- Sortieren
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[-1.1124e-02, -3.8567e-03, -1.9882e-02, ..., 2.8824e-02,
9.8724e-03, 4.8399e-04],
[ 4.5624e-03, 1.9089e-02, -1.4099e-02, ..., -8.1711e-03,
2.7618e-02, 1.0548e-03],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[ 0.0732, 0.0485, 0.0653, ..., 0.0432, 0.0350, 0.0130],
[-0.0307, 0.0438, -0.0632, ..., 0.0151, 0.0664, -0.0311],
[ 0.0161, -0.0189, -0.0315, ..., 0.0200, -0.0306, 0.0144]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044],
[-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328],
...,
[ 0.1091, 0.1661, 0.0919, ..., -0.0346, 0.1283, 0.0218],
[ 0.1068, -0.0254, -0.0553, ..., -0.0178, 0.2559, -0.0233],
[ 0.0576, -0.0135, -0.0221, ..., 0.0191, -0.0328, 0.0281]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[ 0.1259, 0.1863, 0.0966, ..., -0.1241, 0.1698, -0.1208],
[ 0.0561, 0.0732, -0.0688, ..., 0.1623, 0.1871, -0.1743],
[ 0.0446, -0.0252, 0.0175, ..., 0.0368, -0.0098, 0.0648]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[ 0.0418, 0.2575, 0.1938, ..., -0.2245, 0.0083, -0.1040],
[-0.0204, -0.0409, -0.1317, ..., 0.0913, 0.0630, -0.1711],
[ 0.0200, 0.0326, 0.0342, ..., 0.1544, -0.0285, 0.2029]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[ 0.2676, 0.2238, 0.1405, ..., -0.1585, 0.0723, -0.0110],
[ 0.2044, -0.0642, -0.0513, ..., -0.0519, 0.0948, -0.3327],
[ 0.0330, -0.0797, 0.0305, ..., 0.0616, -0.2734, 0.3169]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[ 0.2740, 0.2273, 0.0546, ..., 0.0617, 0.1789, -0.0541],
[ 0.3264, -0.2038, 0.0354, ..., -0.2102, 0.3165, -0.1533],
[ 0.1048, -0.0021, 0.0236, ..., 0.2160, 0.0118, 0.4239]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[-0.0475, 0.3918, -0.0848, ..., 0.3929, 0.0753, -0.2622],
[ 0.3104, -0.2680, -0.1103, ..., -0.1492, 0.3801, -0.2749],
[ 0.2077, 0.1219, -0.1288, ..., 0.4683, -0.0701, 0.4362]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[-0.0824, 0.4019, -0.3113, ..., 0.2223, -0.1239, -0.3079],
[ 0.0579, -0.4193, 0.0642, ..., -0.1835, 0.3386, -0.0502],
[ 0.3664, 0.1458, -0.0681, ..., 0.3966, -0.0401, 0.4465]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[-2.1358e-01, 4.2109e-01, 1.4458e-01, ..., -4.1807e-02,
-2.7003e-01, -2.8965e-01],
[-3.0632e-01, -1.6333e-01, 1.0756e-01, ..., -5.0102e-01,
1.8164e-01, -2.4610e-01],
[-1.6808e-01, 3.5729e-01, -1.9740e-01, ..., 4.5758e-02,
5.2039e-02, 2.7813e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[-0.5016, 0.5276, 0.3060, ..., -0.0342, -0.4063, -0.1651],
[-0.6579, -0.2180, 0.2428, ..., -0.5411, 0.0017, -0.1993],
[-0.1988, 0.6119, 0.0011, ..., -0.0212, -0.1719, 0.5409]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[-0.6150, 0.6454, 0.1048, ..., 0.1543, -0.4232, 0.0096],
[-0.7571, -0.3709, 0.2068, ..., -0.6872, 0.1126, -0.0165],
[-0.2756, 0.1479, 0.1874, ..., -0.0460, -0.2853, 0.4575]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[-0.9043, 0.7029, -0.0707, ..., 0.0192, -0.3001, -0.2176],
[-1.0980, -0.1920, 0.3010, ..., -0.7290, 0.1681, -0.0330],
[-0.5303, -0.1746, -0.0272, ..., -0.0065, -0.4026, 0.2335]]])
13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527],
[-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285],
[-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837],
...,
[-0.9794, 0.6397, 0.2401, ..., 0.2164, -0.8089, -0.1613],
[-0.7243, -0.6048, 0.4554, ..., -0.4543, -0.0554, 0.3223],
[-0.5913, -0.5614, -0.4180, ..., 0.0067, -0.9703, 0.7093]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[-1.0507, 0.8241, 0.1236, ..., 0.5004, -0.7215, -0.4933],
[-0.7812, -0.6984, 0.2745, ..., -0.4809, 0.0322, -0.1105],
[-0.5272, -0.3591, -0.2951, ..., 0.0804, -0.6102, 0.8131]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[-1.1496, 0.4257, 0.0253, ..., 0.9817, -0.9141, -1.0957],
[-1.1422, -1.2707, 0.5094, ..., -0.3575, -0.1564, -0.5091],
[-0.4328, -0.8317, -0.2686, ..., 0.3189, -0.5433, 0.3253]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[-1.0691, 0.1546, 0.0364, ..., 0.8520, -0.7987, -1.2576],
[-1.1905, -1.4252, 0.5335, ..., -0.7083, 0.2909, -1.0509],
[-0.5749, -1.7731, -0.3212, ..., 0.1966, -0.6330, 0.1943]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[-1.9403, 0.1400, -0.0853, ..., 0.2410, -0.8420, -0.9197],
[-1.6487, -1.5584, 0.9137, ..., -1.0453, 0.2916, -0.9138],
[-0.8455, -2.0883, -0.3197, ..., -0.0803, -0.0311, 0.0692]]])
18: tensor([[[ 3.0301e-01, -9.9364e-01, -3.2816e-01, ..., -3.2686e-02,
-3.8228e-01, 7.3221e-01],
[-1.0528e-01, -1.5004e+00, 2.5818e-01, ..., -1.2973e-02,
-1.5225e+00, -1.0915e+00],
[ 3.8707e-01, -1.3789e+00, -7.3249e-02, ..., 1.1954e-01,
-8.0118e-01, -9.2410e-01],
...,
[-2.0543e+00, 1.2894e-01, 7.6079e-02, ..., 3.0637e-02,
-7.5511e-01, -1.2116e+00],
[-2.0635e+00, -2.1441e+00, 7.5517e-01, ..., -1.1357e+00,
1.3999e-03, -1.5936e+00],
[-8.4305e-01, -2.2415e+00, -3.1812e-01, ..., -1.8082e-02,
-9.1467e-01, -3.3262e-01]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[-2.1199, 0.2473, -0.0109, ..., 0.0321, -0.8877, -1.3564],
[-2.0168, -1.9778, 0.7610, ..., -1.4703, 0.3061, -2.0790],
[-0.7303, -2.6668, -1.2506, ..., -0.0336, -0.9943, -0.2626]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[-2.2655, 0.3622, 0.1321, ..., -0.8097, -0.4130, -0.9599],
[-2.2290, -2.0926, 0.6436, ..., -2.2932, 1.0268, -2.1751],
[-0.4251, -2.5467, -1.1228, ..., -0.3014, -1.0179, -0.0983]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[-2.5674, 0.9983, 0.3120, ..., -0.1532, -0.2720, -0.6254],
[-1.6568, -1.6883, 0.5432, ..., -2.1147, 0.6790, -2.0657],
[-0.7209, -3.0272, -0.8493, ..., 0.0682, -0.7501, 0.3293]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[-2.3482, 1.5388, 0.2913, ..., -0.6633, -0.5806, -0.9555],
[-1.2798, -1.1474, 0.4292, ..., -2.6196, 0.5422, -2.0510],
[-1.2325, -3.5856, 0.0960, ..., 0.3915, -0.7882, 0.7637]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[-1.7668, 0.9082, 0.2716, ..., -1.3003, -0.5688, -1.2775],
[-0.7629, -1.8067, 1.1208, ..., -3.2678, 0.6296, -2.4400],
[-1.4137, -3.7866, -0.2553, ..., 0.2326, -0.5432, 0.0102]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[-1.8192, 0.7535, 0.0868, ..., -1.4588, -0.3672, -0.4700],
[-0.1073, -2.3360, 1.2835, ..., -3.6359, 0.9188, -2.0875],
[-1.7606, -4.3886, 0.4549, ..., 0.2816, -0.5814, 0.0374]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[-1.3107, 0.9698, -0.1997, ..., -1.8008, 0.2430, -0.4968],
[ 0.3494, -2.4886, 1.1520, ..., -4.4449, 1.4402, -2.2029],
[-1.4361, -4.4351, -0.0831, ..., 0.1185, -0.9469, 0.0299]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[-2.2510, 0.4452, -0.1154, ..., -2.5404, -0.1453, -0.0305],
[ 0.2013, -3.5592, 1.3700, ..., -4.3174, 2.0388, -1.9853],
[-1.9346, -4.6831, -0.3329, ..., 0.0449, -1.1165, 0.4372]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[-2.3325, 0.7186, -0.1483, ..., -3.5479, 0.1557, -0.4809],
[-0.1673, -3.5220, 1.6996, ..., -4.6231, 2.8415, -2.0087],
[-2.7885, -5.6649, -0.1554, ..., 0.7761, -0.5413, 0.8194]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[-2.9213, 0.8622, 0.0366, ..., -2.5718, 0.3982, 0.0598],
[ 0.7308, -4.1832, 0.9611, ..., -4.0884, 2.6815, -1.7256],
[-2.6173, -6.2009, 0.0124, ..., 1.0309, -0.4783, 0.7504]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[-3.7560, 0.8966, 1.0644, ..., -1.9264, -0.0341, -0.7098],
[ 0.5135, -4.7927, 0.8974, ..., -4.7578, 2.6969, -1.9701],
[-2.6377, -6.9491, 0.1547, ..., 1.0725, -0.8192, 0.8020]]])
30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01,
-7.3406e-01, 1.7867e-01],
[ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01,
-3.7438e+00, 4.4429e-01],
[ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01,
-1.8399e+00, 4.5765e-03],
...,
[-2.7189e+00, 1.5297e+00, 5.3596e-01, ..., -2.7136e+00,
5.5576e-02, -1.2131e-01],
[ 1.8410e+00, -4.2821e+00, -4.1814e-02, ..., -5.0310e+00,
2.4137e+00, -2.2572e+00],
[-2.5163e+00, -6.7883e+00, 5.6816e-02, ..., 8.0273e-01,
-4.7684e-01, 2.9997e-01]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[-2.7901, 1.5955, 0.9031, ..., -3.0075, 0.9236, 0.7117],
[ 2.3085, -4.3298, 0.6922, ..., -6.0489, 4.5468, -0.6909],
[-3.0517, -6.9670, 0.9329, ..., 0.4200, -0.1750, 0.6934]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[-3.0932, 1.8472, 1.3436, ..., -2.5856, 2.0289, 0.3730],
[ 2.8364, -4.5040, 1.2955, ..., -6.4404, 5.1860, -0.5055],
[-3.7866, -7.4020, 1.0394, ..., -0.4494, 0.4871, -0.0180]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[-3.1297, 1.5529, 1.2689, ..., -2.4881, 2.5778, 1.3647],
[ 2.3723, -3.8893, 1.2189, ..., -6.6839, 6.7913, -0.2089],
[-3.6101, -6.4454, 0.8870, ..., -0.4090, 1.0753, 0.1406]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[-3.7051, 1.4548, 1.6410, ..., -2.5674, 2.9454, 1.5355],
[ 2.8076, -3.7236, 2.2608, ..., -6.4842, 7.4982, -0.3948],
[-3.2063, -5.7788, 1.3985, ..., -0.6868, 1.4435, 0.1758]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[-3.8838, 1.4908, 3.5305, ..., -2.2892, 2.3163, 1.9528],
[ 2.7771, -2.7134, 2.6322, ..., -6.1782, 7.0145, -0.4395],
[-3.3140, -5.5467, 1.0786, ..., -1.2398, 1.8297, -0.7322]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[-3.3244, 0.9927, 2.1697, ..., -1.1160, 2.7001, 2.5566],
[ 3.0938, -3.5481, 1.5167, ..., -5.0715, 7.2830, -0.2809],
[-3.8090, -5.9747, 1.6805, ..., -0.7902, 1.0881, -1.2745]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[-3.3346, 1.2740, 2.4560, ..., -3.8123, 2.7460, 1.8981],
[ 3.9292, -3.8988, 2.3850, ..., -5.9698, 7.0159, 0.3647],
[-4.4105, -6.6289, 2.0748, ..., -0.5029, 1.2148, -1.7233]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[-4.0657, 2.0587, 2.2792, ..., -4.5263, 2.2500, 0.9159],
[ 4.4627, -3.1364, 2.0669, ..., -5.9639, 6.7735, -0.2473],
[-4.0757, -6.7517, 2.9971, ..., -1.4928, 1.8700, -2.1118]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[-4.4317, 2.1029, 3.5822, ..., -4.2842, 1.3274, 1.0417],
[ 5.8361, -3.0692, 2.4456, ..., -5.5931, 4.8369, -0.0702],
[-3.6127, -6.9234, 3.7957, ..., -0.0864, 0.4049, -3.5022]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[-1.3268, 0.3561, -0.3508, ..., -1.4519, 0.2370, 0.4414],
[ 0.8233, -0.5830, -0.7366, ..., -1.2362, 0.7739, -0.3459],
[-1.2161, -1.2070, -0.1309, ..., -0.4295, -0.6221, -0.8686]]])
Query: - Multi-Paradigmen-Sprachen (z. B. Scala)
- Funkionale Sprachen (z. B. Elixir, Lisp, Clojure)
- Sprachen mit explizitem Speichermanagement (C)
- Systemnahe Sprachen (z. B. Go)
- Skriptsprachen (Python, Ruby)
- Domainspezifische Sprachen
- Weiterführende Konzepte von Java (z. B. Streams, Reflection)
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02,
-1.1311e-03, 9.9945e-03],
[-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04,
3.9864e-03, -2.9182e-03],
...,
[-3.5645e-02, 2.0111e-02, 2.6886e-02, ..., -1.4977e-02,
-1.8372e-02, 3.5706e-03],
[-1.3863e-02, 2.3422e-03, 2.1393e-02, ..., -3.9444e-03,
1.2177e-02, 7.6714e-03],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427],
[-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212],
...,
[-0.0539, 0.0234, 0.0295, ..., 0.0394, -0.0169, 0.0320],
[-0.0528, -0.0202, 0.0342, ..., -0.0181, 0.0266, 0.0528],
[-0.0008, -0.0312, -0.0167, ..., 0.0321, -0.0076, -0.0084]]])
2: tensor([[[ 1.0109e-01, -1.8457e-01, 1.5029e-01, ..., -1.7510e-01,
-1.9697e-01, -7.8638e-02],
[-2.0358e-03, -1.0349e-01, -2.0788e-02, ..., 1.1819e-01,
4.5131e-02, 4.3589e-03],
[-3.6629e-02, -5.1585e-03, 2.2301e-02, ..., 1.6284e-02,
-7.3033e-02, -3.2806e-02],
...,
[-1.3411e-01, -1.0021e-01, 1.0940e-01, ..., 1.7196e-02,
1.2877e-01, 1.0235e-01],
[-7.0185e-02, 1.9103e-03, 2.3719e-02, ..., 3.3185e-05,
4.3885e-02, 8.4421e-02],
[ 4.0001e-02, -1.5107e-02, -3.4696e-02, ..., 1.7531e-02,
2.1363e-03, 1.5773e-02]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199],
[ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215],
...,
[-0.0947, -0.3167, -0.0160, ..., 0.0364, 0.1614, 0.1278],
[-0.0837, -0.0379, 0.0903, ..., -0.0051, 0.0063, 0.0519],
[ 0.0990, -0.0416, -0.0142, ..., -0.0202, -0.0278, 0.0754]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883],
[ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909],
...,
[-0.0236, -0.1735, -0.0229, ..., 0.0350, 0.0865, 0.1435],
[-0.1242, 0.0061, 0.0485, ..., -0.0154, 0.0669, 0.2496],
[ 0.0378, -0.0600, -0.0195, ..., -0.0049, -0.0730, 0.1328]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336],
[ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382],
...,
[-0.3243, -0.2916, -0.0524, ..., -0.2105, 0.2149, 0.0299],
[-0.1683, -0.1164, -0.0465, ..., -0.1263, 0.0761, 0.2675],
[ 0.1324, -0.0823, -0.1249, ..., -0.1685, -0.0479, 0.2707]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343],
[-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838],
...,
[-0.2527, -0.3954, 0.1298, ..., -0.2043, 0.1756, 0.0211],
[-0.1384, -0.0366, -0.1062, ..., 0.0781, 0.2537, 0.2132],
[ 0.2093, -0.0538, -0.1852, ..., -0.0557, 0.0657, 0.3098]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436],
[-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046],
...,
[-0.3154, -0.4015, -0.1204, ..., 0.0719, 0.2649, 0.0254],
[-0.1957, -0.1046, -0.2513, ..., 0.0026, 0.1645, 0.1519],
[ 0.2308, 0.0680, 0.0734, ..., 0.0991, -0.0395, 0.3916]]])
8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152],
[-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323],
[-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652],
...,
[-0.3510, -0.6134, -0.5410, ..., -0.1473, 0.2644, -0.0302],
[-0.0297, 0.0594, -0.5008, ..., 0.1593, 0.5762, 0.3170],
[ 0.3642, 0.1426, 0.1997, ..., 0.0183, 0.0300, 0.3661]]])
9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01,
-7.8662e-02, 3.0796e-01],
[-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04,
-4.6773e-01, -2.0511e-01],
[-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01,
-5.7957e-01, -3.6326e-01],
...,
[-6.1954e-01, -8.2205e-01, -1.0694e-01, ..., -4.9307e-02,
4.9293e-01, -1.2749e-01],
[ 2.9473e-02, -1.7091e-01, -6.9691e-01, ..., 1.7047e-01,
4.5328e-01, 3.2073e-01],
[ 9.9441e-02, -2.0620e-01, 1.3627e-01, ..., -3.6502e-02,
7.0369e-02, 3.0731e-01]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284],
[-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133],
...,
[-0.5304, -0.7451, -0.2996, ..., 0.2621, 0.8080, 0.1828],
[ 0.3044, -0.0965, -0.5014, ..., 0.2248, 0.3569, 0.5113],
[ 0.3739, -0.1410, 0.1618, ..., 0.1337, -0.4260, 0.6774]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015],
[-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965],
...,
[-0.6914, -0.7781, -0.3703, ..., 0.2450, 0.6368, 0.4753],
[ 0.0469, -0.3325, -0.4048, ..., 0.1848, 0.4074, 0.0676],
[ 0.3009, 0.0576, 0.2410, ..., 0.0183, -0.3179, 0.4796]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480],
[-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751],
...,
[-0.5236, -0.6663, -0.3884, ..., 0.0510, 0.7707, 0.0921],
[-0.1268, -0.6651, -0.2912, ..., 0.1746, 0.5009, 0.0093],
[ 0.3744, -0.2420, 0.3777, ..., 0.2412, -0.6119, 0.6446]]])
13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527],
[-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285],
[-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837],
...,
[-0.4872, -1.3295, -0.5634, ..., -0.0832, 0.5366, -0.0439],
[-0.0723, -1.2682, -0.1949, ..., -0.0694, 0.2930, -0.2298],
[ 0.4477, -0.6328, 0.8018, ..., -0.1903, -0.6140, 0.4385]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153],
[-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823],
...,
[-0.3455, -1.6721, -0.7884, ..., -0.0074, 0.5365, -0.3962],
[ 0.1754, -1.3895, -0.4942, ..., 0.3237, 0.5796, -0.2491],
[ 0.5138, -0.7278, 0.4903, ..., 0.3424, -0.0643, 0.1950]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490],
[ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203],
...,
[ 0.1253, -2.2292, -0.6191, ..., 0.0294, 0.4822, 0.0091],
[-0.1303, -2.0136, -0.9084, ..., 0.0834, 0.5244, -0.6291],
[ 0.7944, -1.0781, 0.4019, ..., 0.4579, -0.2834, -0.0792]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914],
[ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889],
...,
[-0.0431, -2.3917, -0.8897, ..., -0.2099, 0.2707, 0.0097],
[-0.5948, -2.0945, -1.1036, ..., -0.2498, 1.3056, -0.8612],
[ 0.3350, -1.5825, 0.5664, ..., 0.4147, -0.3405, 0.3060]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412],
[ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240],
...,
[-0.2037, -2.8338, -0.8785, ..., -0.4605, 0.4529, -0.6646],
[-0.8585, -1.9856, -0.8861, ..., -0.1733, 1.5673, -0.9577],
[ 0.0331, -1.5869, 0.7179, ..., 0.3368, -0.3945, -0.2120]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915],
[ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241],
...,
[-0.0273, -3.2636, -0.5803, ..., -0.6159, 1.0559, -0.3571],
[-1.1191, -1.5758, -1.1142, ..., -0.6330, 1.6852, -0.9040],
[-0.1658, -1.7758, 0.7311, ..., 0.5443, -0.7128, -0.7131]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540],
[ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037],
...,
[-0.1858, -3.2036, -0.3020, ..., -0.7381, 0.8142, -0.0592],
[-0.6552, -1.7991, -1.2379, ..., -0.6037, 1.7195, -1.0222],
[-0.4468, -1.9656, -0.0798, ..., 0.7376, -0.4492, -0.4580]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600],
[ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416],
...,
[-0.0152, -2.8972, -0.6575, ..., -0.8394, 0.9522, 0.2103],
[-0.6037, -1.5413, -1.1923, ..., -0.9717, 2.0179, -1.2037],
[-0.3421, -1.9794, -0.0432, ..., 0.3009, -0.3575, -0.9304]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994],
[ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320],
...,
[-0.2873, -3.2431, 0.0831, ..., -1.2779, 1.0230, 0.1789],
[-0.9273, -2.0858, -1.1842, ..., -0.5312, 1.9728, -2.3196],
[-0.6366, -2.3172, -0.1418, ..., 0.3279, -0.2137, -1.0933]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644],
[ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711],
...,
[-0.0951, -3.4490, 0.4998, ..., -1.0086, 0.8790, 0.9074],
[-0.4868, -2.2328, -1.3890, ..., -0.4154, 2.6770, -2.7577],
[-0.7323, -2.1685, 0.4691, ..., 0.4630, 0.1860, -0.6039]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834],
[ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502],
...,
[-0.0201, -3.1930, 0.4509, ..., -1.0096, 0.4977, 0.4959],
[-0.2527, -1.9252, -1.0457, ..., -1.0217, 1.9580, -3.1107],
[-0.7890, -2.0732, 0.1507, ..., 0.3577, -0.2027, -0.9019]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704],
[ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157],
...,
[ 0.4701, -3.4181, 0.4631, ..., -1.1457, 0.7535, 0.4050],
[ 0.1529, -1.9390, -1.3417, ..., -2.2069, 2.5661, -2.8847],
[-1.1470, -2.1940, 0.6502, ..., 0.5326, -0.2508, -1.0929]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285],
[ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387],
...,
[ 0.2529, -3.2934, 0.9643, ..., -1.5376, 0.7747, 1.0993],
[ 0.2169, -1.7529, -1.3308, ..., -3.1331, 2.2819, -2.5883],
[-0.9537, -2.1369, 0.0446, ..., 0.5567, -0.2526, -1.5599]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413],
[ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146],
...,
[-0.1359, -3.7252, 0.7062, ..., -1.5251, 1.1272, 1.2757],
[-0.4067, -2.4763, -1.7672, ..., -2.9216, 1.8348, -2.6111],
[-1.2905, -2.3902, -0.4882, ..., 0.7179, -1.0709, -1.3335]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535],
[ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254],
...,
[-0.2289, -3.5976, -0.0143, ..., -1.7880, 1.9825, 1.0669],
[-0.8154, -3.4682, -1.9718, ..., -3.8790, 2.6061, -2.9877],
[-1.2706, -2.7081, -0.8320, ..., 0.7034, 0.1137, -1.2584]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418],
[ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070],
...,
[ 0.4406, -4.1038, -0.4442, ..., -1.2254, 2.6398, 1.7704],
[-0.9939, -4.2448, -2.2010, ..., -3.3776, 2.6930, -2.1343],
[-0.8158, -3.9004, -0.6295, ..., 0.7476, 0.2184, -1.4262]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329],
[ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138],
...,
[-0.1019, -4.3488, 0.1117, ..., -1.2459, 3.5803, 2.2727],
[-0.9499, -5.1265, -2.4974, ..., -3.9856, 2.9603, -2.5369],
[-0.8743, -4.1472, -0.5381, ..., 0.5867, -0.5625, -1.9827]]])
30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01,
-7.3406e-01, 1.7867e-01],
[ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01,
-3.7438e+00, 4.4429e-01],
[ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01,
-1.8399e+00, 4.5765e-03],
...,
[ 2.0584e-01, -4.5546e+00, -6.9676e-01, ..., -1.9909e+00,
3.8883e+00, 2.5209e+00],
[-1.1271e+00, -4.6742e+00, -3.1584e+00, ..., -4.2306e+00,
3.0605e+00, -2.2518e+00],
[-1.0461e+00, -3.3180e+00, -1.0808e+00, ..., 7.8193e-01,
-2.4496e-01, -2.6057e+00]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592],
[ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861],
...,
[ 0.8750, -4.4363, -0.3277, ..., -1.4241, 5.2478, 2.7713],
[-0.6926, -4.9406, -2.3108, ..., -4.4085, 3.2784, -1.6950],
[-1.0095, -3.4042, -0.0779, ..., 0.5789, 0.0751, -2.3644]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456],
[ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791],
...,
[ 0.2015, -4.3755, 0.1170, ..., -2.0794, 5.4609, 3.0210],
[-1.8795, -5.4315, -1.7227, ..., -5.1575, 2.5113, -1.4088],
[-1.6921, -3.6897, -0.5883, ..., -0.3961, 0.3489, -2.5409]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369],
[ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151],
...,
[-0.4932, -4.3958, 0.2829, ..., -2.5336, 7.1880, 3.9364],
[-2.6585, -5.0692, -1.5307, ..., -5.0014, 3.0202, -1.0492],
[-1.7357, -2.7710, -0.8896, ..., -0.4483, 0.6286, -2.4185]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840],
[ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669],
...,
[ 0.1602, -3.6530, -0.0947, ..., -2.7388, 7.1453, 3.6881],
[-2.2030, -5.1216, -1.6992, ..., -5.4769, 2.5681, -1.6731],
[-1.5536, -2.3918, -0.5185, ..., -0.7619, 0.1169, -2.3691]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704],
[ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966],
...,
[ 0.3332, -3.0514, -0.7666, ..., -2.1784, 7.0743, 3.7805],
[-2.2966, -5.0722, -1.9095, ..., -6.6185, 3.5042, -3.0412],
[-2.0122, -2.2541, -0.3606, ..., -1.5738, 0.3413, -3.6322]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997],
[ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292],
...,
[ 0.3764, -1.8051, -0.8152, ..., -1.1338, 7.3077, 3.7423],
[-1.8738, -4.8122, -2.4463, ..., -5.7986, 3.1637, -3.7664],
[-2.0087, -2.8178, -0.5204, ..., -1.8521, 0.1442, -3.7121]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139],
[ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802],
...,
[ 0.7984, -1.9202, 0.7650, ..., -2.0578, 7.7014, 3.4816],
[-1.8080, -4.0813, -1.6408, ..., -6.8297, 2.7837, -3.7211],
[-0.8846, -2.9298, 0.0161, ..., -2.5093, 0.6323, -4.4986]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905],
[ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345],
...,
[ 0.3122, -2.9452, 0.8901, ..., -1.1621, 8.5645, 3.5919],
[-1.6070, -4.2488, -2.2917, ..., -7.5683, 2.7732, -5.0615],
[-0.3086, -2.7536, 0.7734, ..., -2.8910, 1.2621, -5.2107]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151],
[ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236],
...,
[ 1.1331, -3.0771, 0.1793, ..., -1.3880, 8.0830, 4.6112],
[-2.7996, -2.1711, -2.0725, ..., -4.9328, 1.2921, -3.8826],
[ 0.2059, -3.0671, 1.6519, ..., -2.0713, 0.3987, -6.3499]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290],
[-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538],
...,
[-0.1288, -1.0602, -1.3198, ..., -1.0588, 1.6997, 1.1291],
[-0.5495, 0.2133, 0.1028, ..., -0.2340, 0.9676, -0.4580],
[-0.5149, -0.7478, -0.2584, ..., -0.6840, -0.2678, -1.3049]]])
Query: Die Studierenden sind in der Lage,
- Arbeitsbedingungen und Arbeitsmethoden eines/r Informatikers/in in der Praxis zu beschreiben,
- ihr Wissen durch Mitarbeit in einem aktuellen Projekt aus dem Informatiksektor unter Anleitung eines/r erfah-
renen Praktikers/in (Informatiker/in, Ingenieur/in, Naturwissenschaftler/in oder Mathematiker/in) anzuwenden,
- Schlüsselqualifikationen wie Teamfähigkeit, Kommunikationsfähigkeit, Kritikfähigkeit etc. einzusetzen und
weiterzuentwickeln,
- einen technischen Bericht zu erstellen.
Modulhandbuch – Fakultät für Informatik
33
Embeddings:
0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04,
-9.8169e-05, 3.8338e-04],
[-5.4016e-03, -7.2823e-03, -5.4016e-03, ..., -1.5320e-02,
-1.1337e-02, -5.9319e-03],
[ 4.2328e-02, 1.2329e-02, 1.8263e-03, ..., 1.1559e-02,
-3.9177e-03, -2.0721e-02],
...,
[-1.5686e-02, -1.0674e-02, 1.9226e-02, ..., 8.0185e-03,
1.4572e-02, -3.9597e-03],
[-1.5686e-02, -1.0674e-02, 1.9226e-02, ..., 8.0185e-03,
1.4572e-02, -3.9597e-03],
[-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03,
-1.6296e-04, -9.8586e-05]]])
1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090],
[-0.0314, -0.0132, -0.0158, ..., -0.0881, -0.1152, -0.0271],
[ 0.1400, 0.0837, -0.0302, ..., -0.0135, -0.0058, 0.0428],
...,
[-0.0147, -0.0288, 0.0833, ..., -0.0080, 0.0288, 0.0089],
[-0.0197, -0.0247, 0.0844, ..., -0.0027, 0.0277, 0.0167],
[ 0.0292, -0.0177, -0.0319, ..., 0.0200, -0.0066, 0.0283]]])
2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786],
[ 0.0348, -0.1445, 0.0878, ..., -0.1148, -0.0753, -0.0537],
[ 0.0884, 0.0330, 0.0115, ..., 0.0838, 0.0525, -0.0172],
...,
[ 0.0275, -0.0248, 0.0845, ..., -0.0921, 0.0878, -0.0078],
[-0.0227, 0.0247, 0.1047, ..., -0.0486, 0.0613, 0.0516],
[ 0.1059, -0.0031, -0.0296, ..., 0.0111, -0.0028, 0.0474]]])
3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364],
[-0.0298, -0.1772, 0.2839, ..., 0.0364, -0.0223, -0.1837],
[ 0.0425, -0.0423, 0.0465, ..., -0.0349, 0.0801, -0.0365],
...,
[ 0.0035, 0.0111, 0.1207, ..., -0.0957, 0.1497, 0.0117],
[-0.1221, 0.1057, 0.0677, ..., -0.0267, -0.0445, 0.1560],
[ 0.0686, -0.0454, -0.0404, ..., 0.1027, -0.0392, 0.0802]]])
4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768],
[-0.1007, 0.0613, 0.3586, ..., -0.1072, -0.0153, 0.0184],
[-0.0621, -0.0707, 0.0541, ..., -0.0362, 0.0403, 0.0984],
...,
[-0.0285, 0.0699, 0.1871, ..., -0.0679, 0.1346, -0.0410],
[-0.2683, 0.0807, 0.0047, ..., -0.0068, 0.0140, 0.1506],
[ 0.2496, 0.1448, -0.1455, ..., 0.2650, -0.1851, 0.2517]]])
5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576],
[-0.0952, -0.0168, 0.3893, ..., 0.0472, 0.2085, 0.0845],
[-0.0422, -0.1415, 0.0157, ..., 0.2136, 0.1239, 0.2048],
...,
[ 0.0400, 0.1316, 0.1435, ..., -0.0643, 0.1800, -0.0635],
[-0.3430, 0.1285, -0.1493, ..., 0.0919, 0.0423, 0.1444],
[ 0.1828, 0.1733, -0.2502, ..., 0.0082, -0.1464, 0.3734]]])
6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895],
[-0.3425, -0.0278, 0.2310, ..., -0.0375, 0.1245, -0.0776],
[-0.2438, -0.0786, 0.1758, ..., 0.2076, 0.1843, 0.2911],
...,
[ 0.0409, 0.0168, 0.2549, ..., -0.0011, 0.3506, -0.0396],
[-0.3873, -0.0357, 0.0195, ..., 0.2581, 0.1325, 0.1997],
[ 0.1693, -0.0320, -0.1131, ..., 0.2805, 0.0010, 0.4603]]])
7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316],
[-0.0962, -0.1794, 0.3917, ..., -0.0952, 0.0395, -0.2583],
[-0.3357, 0.0569, 0.1794, ..., -0.0757, 0.5264, 0.2868],
...,
[ 0.0409, 0.1033, 0.2939, ..., 0.1725, 0.3389, -0.0473],
[-0.3626, 0.1261, 0.1418, ..., 0.3139, 0.0833, 0.1431],
[ 0.4338, -0.0537, -0.2526, ..., 0.3989, 0.0015, 0.6476]]])
8: tensor([[[ 1.7744e-01, -1.0197e+00, -5.5202e-01, ..., 2.1911e-01,
-7.4777e-02, 3.1519e-01],
[-3.8891e-01, 1.3641e-01, 6.5007e-01, ..., -2.8096e-02,
2.7238e-01, -3.4286e-01],
[-5.0465e-01, 1.8587e-01, 1.9720e-01, ..., -6.2342e-02,
6.8599e-01, 3.7242e-01],
...,
[ 1.6593e-01, -4.9121e-02, 3.6656e-01, ..., 2.3967e-01,
3.2936e-01, 9.3616e-04],
[-3.4390e-01, -5.9974e-02, 3.2621e-01, ..., 3.4376e-01,
1.5126e-01, 1.7898e-01],
[ 4.3766e-01, -2.3109e-01, -1.7570e-01, ..., 1.1331e-01,
-1.1216e-02, 5.9626e-01]]])
9: tensor([[[ 0.1666, -1.0333, -0.5140, ..., 0.1680, -0.0787, 0.3080],
[-0.3814, 0.0549, 0.7141, ..., 0.0967, 0.2219, -0.5054],
[-0.8664, 0.1969, 0.3250, ..., -0.0557, 0.6567, 0.3088],
...,
[-0.0654, -0.1186, 0.3245, ..., 0.2764, 0.1919, -0.0995],
[-0.2976, -0.1541, 0.2426, ..., 0.2513, 0.2049, 0.1441],
[ 0.2782, -0.6351, -0.0526, ..., -0.0490, 0.0532, 0.4779]]])
10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783],
[-0.4816, -0.0760, 0.7342, ..., 0.0525, 0.1009, -0.8653],
[-0.8986, 0.3398, 0.1489, ..., -0.1862, 0.7247, 0.2194],
...,
[-0.1448, -0.1805, 0.4884, ..., -0.0442, 0.3981, 0.0575],
[-0.2038, -0.1884, 0.5413, ..., 0.3106, 0.1353, 0.1665],
[ 0.3652, -0.3962, 0.1800, ..., 0.2179, 0.0854, 0.4206]]])
11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694],
[-0.6774, 0.1147, 0.8463, ..., -0.2003, 0.0246, -0.5878],
[-0.8356, 0.2223, 0.2051, ..., -0.0289, 0.5588, -0.0436],
...,
[-0.0477, -0.3710, 0.6686, ..., 0.1423, 0.2476, 0.0946],
[-0.0895, -0.1153, 0.7383, ..., 0.4509, 0.2396, 0.3321],
[ 0.4265, -0.2394, 0.2235, ..., 0.2609, 0.1510, 0.6263]]])
12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818],
[-0.4822, 0.2293, 0.7352, ..., -0.1531, 0.3189, -0.4668],
[-0.7606, 0.4502, 0.1782, ..., -0.3534, 0.6059, -0.2845],
...,
[ 0.3035, -0.3825, 0.6158, ..., 0.2018, 0.2391, 0.3452],
[ 0.2148, -0.0513, 0.9608, ..., 0.6069, -0.1017, 0.2969],
[ 0.3132, -0.4191, 0.3617, ..., 0.3536, -0.0246, 0.5018]]])
13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527],
[-0.5892, -0.0668, 0.2954, ..., 0.4923, 0.4283, -0.3478],
[-0.5394, 0.6289, -0.0081, ..., -0.2932, 0.1695, -0.3400],
...,
[ 0.3479, -0.2819, 0.5159, ..., -0.0920, 0.0051, 0.4744],
[-0.0488, -0.0777, 0.9142, ..., 0.3603, -0.2821, 0.4356],
[ 0.4239, -0.3752, -0.0288, ..., 0.3040, -0.0241, 0.6260]]])
14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964],
[-0.5613, 0.1835, 0.2007, ..., 0.5506, 0.7094, -0.4538],
[-0.8604, 0.4632, 0.0515, ..., -0.2653, 0.2988, -0.1526],
...,
[ 0.2180, -0.4286, 0.5334, ..., 0.1519, 0.3255, 0.1936],
[-0.0423, -0.0851, 0.7584, ..., 0.6393, 0.0962, 0.3938],
[ 0.4066, -0.2077, -0.2057, ..., 0.6217, 0.7705, 0.8213]]])
15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438],
[-0.3799, 0.4772, 0.1746, ..., 0.3410, 0.7986, -0.1130],
[-0.9207, 0.3409, 0.2368, ..., -0.4309, 0.5466, 0.1221],
...,
[ 0.8401, -0.7829, 0.2243, ..., 0.3684, 0.3495, 0.3411],
[ 0.2066, -0.1726, 0.7174, ..., 0.7118, 0.1628, 0.7256],
[ 0.4135, -0.1522, -0.2650, ..., 0.3967, 0.8767, 0.8420]]])
16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783],
[-0.1775, 0.4324, 0.3462, ..., -0.1647, 0.6806, -0.4387],
[-0.9005, 0.5850, 0.4714, ..., 0.1239, 0.7381, 0.1610],
...,
[ 0.3454, -1.0274, 0.3866, ..., 0.0498, 0.6656, 0.0235],
[-0.0661, -0.6716, 0.8590, ..., 0.1347, 0.1584, 0.5488],
[ 0.1850, -0.2006, -0.0278, ..., 0.6544, 1.0978, 0.6811]]])
17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971],
[ 0.1394, 0.1578, 0.2010, ..., -0.3745, 0.5852, -0.5401],
[-0.8800, 0.1826, 0.1795, ..., 0.1964, 0.9638, 0.0212],
...,
[ 0.1715, -1.1422, 1.0401, ..., 0.0534, 0.9570, 0.1950],
[-0.1654, -0.6176, 1.2888, ..., 0.0812, 0.4139, 0.2586],
[ 0.0430, -0.0699, 0.1795, ..., 0.4906, 1.0145, -0.0948]]])
18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322],
[-0.0587, -0.0768, 0.1106, ..., -0.4957, 0.3430, -0.6586],
[-1.0650, 0.4030, 0.1930, ..., 0.2991, 0.7162, -0.2361],
...,
[-0.2698, -0.8385, 0.9011, ..., 0.0995, 0.3626, 0.3106],
[-0.4361, -0.2013, 1.2650, ..., 0.0348, -0.1471, 0.4321],
[-0.2604, 0.0984, -0.0865, ..., 0.8731, 0.6606, -0.1809]]])
19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681],
[ 0.1672, -0.2402, 0.1179, ..., -0.5150, 0.5125, -0.6390],
[-0.5149, 0.7687, 0.3668, ..., 0.0490, 0.5433, -0.5278],
...,
[ 0.0817, -0.7071, 0.3666, ..., 0.1205, 0.6713, 0.5683],
[-0.2872, 0.0159, 0.5522, ..., -0.1198, -0.1754, 0.4904],
[-0.9955, 0.1665, -0.1534, ..., 0.5872, 0.4052, -0.2714]]])
20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809],
[ 0.2393, -0.1203, -0.0780, ..., -0.8767, 0.3679, -1.1687],
[-0.3623, 1.0490, 0.3784, ..., 0.5495, 0.7109, 0.0375],
...,
[ 0.1030, -0.8448, 0.4431, ..., 0.5783, 0.3850, 0.7175],
[-0.2952, -0.1832, 0.5188, ..., 0.5114, -0.1900, 0.5160],
[-1.3673, 0.0078, -0.1833, ..., 0.6763, 0.1080, -0.4191]]])
21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814],
[ 0.6168, 0.3442, 0.2393, ..., -1.4191, 0.5622, -1.9148],
[-0.3870, 1.0493, 1.0232, ..., 0.9389, 0.2935, 0.2764],
...,
[-0.1637, -0.7439, 0.2897, ..., 0.8353, -0.2714, 0.8935],
[-0.4328, 0.1171, 0.3047, ..., 1.1017, -0.3607, 0.3948],
[-1.5561, 0.6474, -0.2632, ..., 0.4806, -0.1964, -0.1676]]])
22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172],
[ 0.4477, 0.8658, 1.1226, ..., -1.7330, 0.3925, -2.5433],
[-0.7347, 1.5486, 1.5835, ..., 0.6815, 0.6137, 0.0684],
...,
[-0.4414, -1.0017, 0.4460, ..., 0.7783, -0.6967, 0.8753],
[-0.7737, 0.3452, 0.1340, ..., 1.0171, -0.4246, 0.6563],
[-1.6691, 0.8424, -0.2240, ..., 0.5033, 0.0570, 0.2245]]])
23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796],
[ 1.1902, 1.1793, 0.2496, ..., -2.6183, 0.0181, -2.6027],
[ 0.6151, 1.7325, 1.5289, ..., 0.6071, 0.8957, -0.1639],
...,
[-0.3286, -1.1454, 0.6821, ..., 0.3358, -0.7147, 0.0908],
[-0.7244, -0.0820, 0.3008, ..., 0.4174, -0.7891, -0.1054],
[-1.4543, 0.9219, -0.3262, ..., -0.0129, -0.0300, -0.4303]]])
24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954],
[ 1.3079, 1.9014, 0.1168, ..., -2.9579, 1.0136, -3.0102],
[ 1.4703, 2.9030, 1.5280, ..., 0.9282, 1.4056, -0.5773],
...,
[-0.7241, -0.7990, 0.9611, ..., 0.2135, -0.3927, -0.5223],
[-1.0516, -0.6649, 0.1585, ..., 0.6400, -1.1791, -0.4778],
[-2.1634, 0.7026, -0.5073, ..., 0.0187, 0.1667, -0.9144]]])
25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482],
[ 1.2887, 3.1195, 0.5099, ..., -3.1410, 0.8265, -3.5222],
[ 1.5727, 2.9817, 3.0178, ..., 2.0017, 1.9856, 0.8335],
...,
[-0.7596, -1.2051, -0.3609, ..., 0.0340, -0.6446, -0.4900],
[-0.4502, -0.9393, -0.9717, ..., 0.7627, -1.4155, -0.3062],
[-1.6077, 0.9711, -0.2508, ..., -0.0328, -0.0049, -0.8300]]])
26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622],
[ 2.1170, 2.5406, 0.5568, ..., -2.5024, 1.1580, -3.6572],
[ 2.0077, 2.7076, 3.1796, ..., 1.7921, 3.1051, 0.3964],
...,
[-0.4329, -0.6378, -0.3879, ..., 0.7219, -0.0098, -0.6419],
[-0.2963, -0.3354, -1.5588, ..., 1.6143, -1.3083, -0.0358],
[-1.7367, 1.6437, -0.1600, ..., 0.7479, -0.5183, -0.7524]]])
27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086],
[ 1.3379, 3.0622, 0.4982, ..., -3.2566, 1.2575, -3.0621],
[ 1.5631, 3.0329, 3.7311, ..., 1.7612, 2.7302, 1.3024],
...,
[-1.5064, -1.6178, -0.4950, ..., 0.8081, 0.3910, -0.1958],
[-1.7435, -1.2777, -1.6217, ..., 2.2667, -0.9967, 0.4589],
[-1.9281, 0.9588, 0.1121, ..., 1.0093, -0.1027, -0.3087]]])
28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632],
[ 1.5843, 2.8582, 0.5249, ..., -3.4097, 1.9343, -2.9662],
[ 1.1870, 2.8459, 3.1192, ..., 1.5039, 2.6153, 0.8242],
...,
[-2.0717, -1.7458, -0.2281, ..., 0.8517, -0.1194, -0.1824],
[-2.7189, -1.2781, -1.3595, ..., 2.4455, -1.3959, 0.5895],
[-2.5390, 1.1442, 0.0047, ..., 1.5090, -0.4493, -0.3037]]])
29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812],
[ 1.7215, 3.3048, 0.1776, ..., -4.1976, 2.2226, -3.0607],
[ 1.3420, 3.3170, 3.1180, ..., 1.4688, 2.0683, 0.4691],
...,
[-2.3079, -1.5266, -0.9576, ..., 1.0114, -0.4921, -1.0903],
[-3.0320, -1.1055, -1.7661, ..., 2.4601, -1.1445, -0.1979],
[-2.5718, 1.6204, -0.2501, ..., 1.8160, -1.0103, -0.5913]]])
30: tensor([[[ 0.6667, -0.9469, 0.2013, ..., 0.1957, -0.7341, 0.1787],
[ 1.4173, 3.2630, -0.6404, ..., -4.4804, 1.6618, -3.1658],
[ 1.3584, 4.2466, 2.5359, ..., 1.6166, 2.6813, -0.0913],
...,
[-2.3662, -0.9934, -0.7583, ..., 1.2694, 0.0991, -1.4974],
[-3.2548, -0.8409, -1.9855, ..., 2.8009, -0.8773, -0.7062],
[-2.7416, 1.9463, -0.3331, ..., 2.1099, -1.0772, -0.6350]]])
31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788],
[ 1.4615, 3.3916, -0.2536, ..., -5.2784, 2.0072, -3.3231],
[ 1.6591, 3.8951, 2.2201, ..., 1.8906, 2.0295, -1.2280],
...,
[-2.1109, -0.7529, -0.0922, ..., 0.9586, 0.6632, -0.8488],
[-2.3789, -0.2678, -0.7191, ..., 2.3044, -0.5808, 0.2448],
[-2.6286, 1.9182, -0.1159, ..., 1.2708, -1.2907, 0.1811]]])
32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393],
[ 2.0288, 3.4331, -0.8790, ..., -5.0096, 1.7184, -3.4330],
[ 1.5807, 3.1549, 2.2227, ..., 1.8808, 1.5281, -1.7718],
...,
[-2.5916, -1.0264, 0.1866, ..., 1.2599, 0.1437, -1.0106],
[-3.0093, -0.6609, -0.1588, ..., 2.0253, -0.2694, -0.2608],
[-2.9714, 1.6354, 0.4501, ..., 1.0231, -1.6038, -0.2278]]])
33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255],
[ 1.8583, 4.0141, -0.9734, ..., -5.9333, 2.0905, -3.3307],
[ 1.0070, 3.2188, 1.9731, ..., 1.2526, 0.8178, -1.5600],
...,
[-3.2309, -0.7533, 0.3404, ..., 1.7398, 0.0337, -0.7786],
[-3.9436, -0.5937, -0.3725, ..., 2.3482, -0.2888, -0.1791],
[-3.6721, 1.9502, 0.3553, ..., 1.5413, -1.2077, 0.3369]]])
34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156],
[ 2.0030, 3.9488, -0.5989, ..., -5.9207, 1.9659, -2.7657],
[ 0.3571, 2.8542, 2.0260, ..., 1.0885, 0.9702, -1.9109],
...,
[-3.2293, -0.7700, 0.5879, ..., 1.2868, 0.3200, -0.9051],
[-3.5408, -0.4310, -0.0260, ..., 2.0054, -0.4963, 0.3940],
[-3.7591, 2.4173, 0.9299, ..., 1.0876, -1.3874, 1.1661]]])
35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476],
[ 1.1691, 4.1692, -1.5696, ..., -5.4434, 1.2151, -3.6666],
[-0.2417, 2.3720, 2.2759, ..., 0.9959, 1.6046, -2.2331],
...,
[-3.3379, -1.0997, 0.2267, ..., 1.7759, -0.7057, -1.4591],
[-3.5107, 0.1426, -0.6608, ..., 2.2933, -1.2291, 0.3335],
[-3.4814, 2.6906, 0.9168, ..., 2.1491, -1.9988, 0.6999]]])
36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015],
[ 1.0138, 4.6372, -1.4853, ..., -5.8695, 2.0432, -4.1288],
[-0.0835, 2.0479, 3.0634, ..., 1.8259, 1.6257, -1.3732],
...,
[-3.3514, -1.7321, 0.3855, ..., 2.2877, -1.7054, -1.1561],
[-3.7239, -0.0938, -0.1987, ..., 2.5089, -2.6936, 0.0167],
[-3.9280, 2.4186, 0.5142, ..., 1.9166, -3.7178, 0.3491]]])
37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868],
[ 1.2874, 4.5292, -1.5664, ..., -5.9701, 2.3733, -4.1725],
[-0.2766, 2.4303, 4.0938, ..., 1.8671, 1.9985, -1.3845],
...,
[-3.9347, -2.5929, 0.9504, ..., 2.1471, -2.1064, -2.1593],
[-3.6325, -0.9895, -0.3109, ..., 2.0022, -2.2564, -1.4084],
[-3.6424, 1.4958, 0.3539, ..., 1.3122, -3.3704, 0.2221]]])
38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354],
[ 1.0454, 4.6582, -2.5552, ..., -6.1068, 1.5839, -3.1076],
[-0.4167, 2.3306, 3.8001, ..., 2.5002, 1.2226, -1.7264],
...,
[-3.2565, -2.6058, 0.7800, ..., 1.0747, -2.8469, -2.8562],
[-3.4737, -1.1396, 0.1502, ..., 1.3525, -3.2863, -2.0740],
[-3.2968, 1.0202, 0.2031, ..., 0.9155, -4.0464, 0.2188]]])
39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686],
[ 1.1201, 4.0922, -3.4734, ..., -5.2470, -0.9760, -2.8315],
[-0.1410, 3.4196, 4.6781, ..., 1.8651, 0.5242, -2.1196],
...,
[-4.1437, -3.2829, -0.0823, ..., 1.4814, -4.9127, -3.0089],
[-3.9932, -2.5998, -0.3789, ..., 2.8980, -5.2200, -2.7530],
[-3.4912, 0.5698, 0.9979, ..., 1.5503, -5.1404, 0.4663]]])
40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012],
[-0.2367, 0.8228, -1.0972, ..., -1.0244, -0.2596, -0.2143],
[-0.2036, 0.5696, 0.9712, ..., 0.0561, 0.0137, -0.8077],
...,
[-1.2212, -0.8229, -0.7962, ..., -0.0720, -1.5204, -0.3998],
[-1.4354, -0.8302, -0.8383, ..., 0.4408, -1.5116, -0.3558],
[-1.1722, -0.0928, -0.4849, ..., 0.1130, -1.0798, 0.3545]]])
View Git Blame Copy Permalink