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  1. import torch
  2. import torch.nn as nn
  3. import torch.nn.functional as F
  4.  
  5. my_input = torch.tensor([[ 0.0841, 0.0956, 0.1031, 0.0000, 0.0000, 0.4387, 0.0000,
  6. 0.1020, 0.0525, 0.0832, 0.2455, 0.0000, 0.0000, 0.0263,
  7. 0.2749, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000,
  8. 0.0000, 0.0000, 0.0896, 0.1840, 0.0000, 0.0000, 0.0000,
  9. 0.0000, 0.0000, 0.0000, 0.0000, 0.4766, 0.1610, 0.0000,
  10. 0.0000, 0.0000, 0.1505, 0.0000, 0.0000, 0.0041, 0.3579,
  11. 0.5928, 0.0000, 0.0614, 0.0000, 0.3677, 0.0756, 0.0000,
  12. 0.0000, 0.0000, 0.1174, 0.0000, 0.0300, 0.6995, 0.0000,
  13. 0.0000, 0.0000, 0.0419, 0.1351, 0.1237, 0.0075, 0.0000,
  14. 0.1574, 0.4802, 0.3579, 0.0000, 0.0000, 0.1695, 0.1821,
  15. 0.0000, 0.0000, 0.0000, 0.1439, 0.1912, 0.1633, 0.1430,
  16. 0.0000, 0.0000, 0.0000, 0.0520, 0.0370, 0.0000, 0.0251,
  17. 0.0000, 0.0836, 0.0243, 0.3131, 0.1092, 0.2033, 0.0000,
  18. 0.3244, 0.4984, 0.0000, 0.1245, 0.6629, 0.1008, 0.1555,
  19. 0.0000, 0.6555, 0.0000, 0.9588, 0.0000, 0.0000, 0.0000,
  20. 0.0317, 0.0000, 0.1465, 0.2809, 0.0267, 0.0141, 0.8706,
  21. 0.1700, 1.2076, 0.1748, 0.3217, 0.3293, 0.0000, 0.1521,
  22. 0.0000, 0.1064, 0.5722, 0.5897, 0.0462, 0.8358, 0.0000,
  23. 0.3090, 0.0244, 0.2647, 0.0455, 0.2588, 0.1634, 0.2050,
  24. 0.0000, 0.1936, 0.0803, 0.6938, 0.3999, 0.0000, 0.6887,
  25. 0.4635, 0.6425, 0.3893, 0.0000, 0.0000, 0.0000, 0.0249,
  26. 0.0000, 0.0000, 0.0575, 0.1140, 0.0352, 0.2088, 0.4634,
  27. 0.7422, 0.0587, 0.0000, 0.0000, 0.2126, 0.0000, 0.2399,
  28. 0.0000, 0.5548, 0.0000, 0.0000, 0.0000, 0.0273, 0.2849,
  29. 0.0000, 0.8469, 0.4162, 0.0000, 0.0000, 0.1567, 0.0713,
  30. 0.0000, 0.0841, 0.0000, 0.0399, 0.0000, 0.5473, 0.0039,
  31. 0.3583, 0.1194, 0.0000, 0.1608, 0.0000, 0.0000, 0.1180,
  32. 0.4777, 0.0000, 0.0000, 0.3987, 0.5492, 0.0000, 0.0000,
  33. 0.0000, 0.0000, 0.1780, 0.0000, 0.3007, 0.0000, 0.1903,
  34. 0.1317, 0.0769, 0.0000, 0.4453, 0.0473, 0.0000, 0.2352,
  35. 0.0983, 0.0000, 0.4337, 0.0000, 0.0000, 0.0231, 0.0000,
  36. 0.0149, 0.0000, 0.5319, 0.0122, 0.0000, 0.0000, 0.4760,
  37. 0.0000, 0.5555, 0.3710, 0.2430, 0.0000, 0.1762, 0.0000,
  38. 0.2572, 0.5811, 0.0000, 0.0830, 0.0000, 0.0000, 0.6696,
  39. 0.0104, 0.2659, 0.0958, 0.0000, 0.1457, 0.0000, 0.0769,
  40. 0.0052, 0.4620, 0.0000, 0.2704, 0.0000, 0.3887, 0.0000,
  41. 0.0000, 0.2622, 0.0000, 0.0000]])
  42.  
  43. my_weigth = torch.tensor([[ 0.0147, -0.0288, 0.0002, 0.0864, -0.0077, -0.0105, -0.0003,
  44. 0.0339, 0.0169, -0.0473, 0.0248, -0.1689, -0.1042, 0.0232,
  45. 0.0739, 0.0235, -0.0516, -0.0741, 0.0607, 0.0817, 0.0825,
  46. 0.0026, 0.0950, -0.1653, -0.1051, 0.0422, 0.0398, -0.0273,
  47. -0.1073, 0.0261, 0.0096, -0.0694, 0.0742, -0.0348, -0.1223,
  48. -0.0163, 0.1233, -0.0813, 0.1206, -0.0630, 0.0799, -0.0285,
  49. -0.0437, -0.0199, -0.0100, 0.0182, -0.0125, 0.0014, -0.1002,
  50. 0.1069, 0.0767, 0.1488, -0.0003, 0.0065, -0.0179, 0.0420,
  51. 0.0192, 0.1110, -0.0277, 0.0408, -0.0724, 0.1253, 0.0593,
  52. -0.1179, 0.0952, 0.0522, -0.0049, 0.0800, -0.0888, -0.0977,
  53. 0.1133, -0.0420, 0.0334, 0.1340, -0.0619, -0.1441, -0.0232,
  54. -0.1054, 0.0303, -0.1645, -0.0075, 0.0043, 0.0754, -0.0061,
  55. -0.0097, -0.0959, 0.0024, -0.0875, 0.0080, 0.0043, -0.0165,
  56. 0.0324, -0.0751, 0.1033, -0.0179, -0.1439, 0.1392, 0.0717,
  57. -0.1434, 0.0260, 0.1803, 0.0768, -0.0501, -0.0263, 0.1299,
  58. 0.0018, -0.0792, -0.0380, 0.0322, 0.0627, 0.0027, 0.0164,
  59. -0.0276, -0.1247, 0.0579, -0.0587, -0.0816, 0.0785, 0.0436,
  60. 0.0616, 0.1236, 0.0359, -0.0505, 0.1136, -0.0629, 0.0627,
  61. 0.0431, -0.0479, -0.0696, -0.1436, 0.0315, 0.0058, 0.0173,
  62. 0.1783, 0.0396, -0.0754, 0.0370, -0.1289, -0.0168, 0.0161,
  63. 0.0550, -0.0279, 0.0363, 0.1423, 0.0290, 0.1038, 0.0331,
  64. -0.0226, -0.0522, 0.0803, 0.0559, -0.0933, 0.0039, -0.1323,
  65. 0.0601, 0.0119, -0.0492, 0.0319, -0.1081, -0.0514, 0.0383,
  66. 0.0273, -0.0513, -0.0178, 0.0779, -0.0103, 0.0691, -0.0598,
  67. 0.0086, 0.1182, -0.0063, -0.0039, -0.0420, 0.0118, -0.0388,
  68. 0.0306, 0.1738, 0.0646, -0.1387, 0.0414, 0.0154, -0.1105,
  69. -0.0037, 0.0243, 0.0542, 0.0359, -0.1288, 0.0769, -0.0166,
  70. -0.0793, 0.0779, 0.0353, -0.0507, 0.1174, -0.0773, 0.0864,
  71. 0.0321, 0.1177, 0.0237, 0.0262, 0.0758, -0.0225, 0.0422,
  72. 0.0020, -0.1022, -0.0417, -0.0464, -0.0238, 0.0303, 0.1016,
  73. -0.0222, 0.1048, 0.0735, -0.0763, 0.0508, -0.0283, 0.1216,
  74. -0.0779, 0.1736, 0.0794, -0.0219, 0.0414, -0.0505, -0.0092,
  75. 0.0576, -0.0058, -0.1533, -0.0161, -0.0402, -0.0538, 0.0856,
  76. -0.0882, 0.0239, -0.0574, 0.0246, -0.0879, 0.0556, -0.1014,
  77. 0.0690, 0.0356, 0.0244, -0.1004, -0.0344, -0.0601, -0.1024,
  78. -0.0601, -0.0944, -0.0410, -0.0168, 0.0192, 0.0466, 0.0330,
  79. 0.0597, 0.0758, 0.1192, 0.0002]])
  80.  
  81. my_bias = torch.tensor([-0.0256, -0.6320, 0.2573, 0.3050, 0.6289, -0.2324, 0.2577,
  82. -0.3265, 0.2142, -0.4188])
  83.  
  84. my_output = torch.tensor([-0.3119, 0.8886, -0.3424, 1.9245, -0.9445, 0.8280, 0.0017,
  85. -0.9770, 0.1498, -1.0262])
  86.  
  87. my_weigth = torch.transpose(my_weigth, 0, 1)
  88.  
  89. output = torch.mm(my_input, my_weigth) + my_bias[0]
  90.  
  91. print(output)
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