import torch
outputs = torch.Tensor([[ 0.0052, -0.8156, 0.4052, -2.0467, 0.9094],
[ 0.5136, 0.9679, -0.4025, -1.4280, -0.2329],
[-1.5564, -2.9252, 1.5007, -1.8669, 2.6327],
[-1.3189, -3.0958, 1.7134, -2.4758, 2.1970],
[ 0.3545, 1.0336, -1.0870, -0.5224, -0.2577],
[ 0.9172, 0.5531, -0.6612, -1.8037, -0.0375],
[-1.8091, -3.4890, 1.7762, -2.2764, 2.9902],
[-1.1849, 1.9803, -2.5143, 2.7419, -0.5074],
[ 0.2643, 1.1787, -0.6099, -1.1116, -0.1860],
[-0.1398, 1.2845, -1.3439, 0.4861, -0.4152],
[ 0.3470, 0.1520, -0.1800, -1.8029, 0.2673],
[-0.3466, 0.7583, -1.4018, 0.7416, -0.1349],
[ 0.0110, 1.3657, -1.5803, 0.3905, -0.4626],
[ 0.6834, 1.2577, -0.4732, -1.6061, -0.2986],
[-1.4266, -3.1705, 1.6706, -2.4082, 2.4462],
[ 0.9110, 1.6789, -1.0384, -1.3190, -0.6248],
[ 0.6784, 1.4374, -0.5409, -1.5479, -0.4078],
[ 0.0870, 1.6230, -1.5944, 0.0156, -0.5264],
[ 0.4745, 0.5972, -0.3581, -0.7977, -0.1117],
[-0.9344, -2.2650, 0.7877, -1.7376, 2.0582],
[ 0.8842, 1.8267, -0.7559, -1.6596, -0.5955],
[-0.7785, -0.2684, -0.9535, 0.3781, 0.5765],
[ 0.3231, 0.3184, -0.1985, -1.1899, 0.0858],
[ 0.8716, 1.9445, -0.8713, -1.7622, -0.6823],
[-1.0959, 1.8133, -2.4571, 2.5514, -0.4569],
[ 0.5522, 1.1478, -0.4801, -1.0794, -0.3068],
[ 1.1927, 1.4754, -0.7350, -1.9110, -0.3887],
[-1.6291, -1.5367, -0.1959, -0.2711, 1.4813],
[ 0.6408, 1.1346, -0.4077, -1.2944, -0.3021],
[ 0.5837, 1.2832, -0.4584, -1.4342, -0.3770],
[-0.5513, 1.9288, -2.2596, 1.6180, -0.5218],
[ 0.7435, 0.5310, -0.5460, -1.1995, -0.1450]])
predict_y = torch.max(outputs, dim=1)#max函数返回两个值,其中一个是values,另外一个值是index。
print(predict_y)
torch.max函数解释
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转载自blog.csdn.net/guoguozgw/article/details/128985800
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