Python 张量的最小值和最大值

我有以下pytorch张量：

>>> mean_actions
tensor([[-5.7547e-04,  1.4318e-02,  1.9328e-04, -2.5660e-03,  3.5269e-03,
         -1.3797e-02, -6.1871e-04, -2.7425e-03,  1.1661e-03,  1.6873e-03,
          3.9045e-03,  1.8047e-03,  4.8656e-03,  5.7182e-03, -4.8501e-03,
         -5.5913e-03, -4.4574e-03, -3.3154e-03, -4.9826e-03, -1.0071e-02,
         -2.3483e-03, -1.1413e-02, -4.9613e-03, -1.1648e-02,  2.4752e-03,
         -1.9764e-03,  3.1063e-03, -6.3481e-05,  7.6710e-03,  5.7503e-04]])

我从张量中得到以下最小值和最大值：

>>> th.min(mean_actions)
tensor(-0.0138)
>>> th.max(mean_actions)
tensor(0.0143)

然而，我没有看到张量中存在

-0.0138

和

0.0143

。我错过了什么

以下是调试会话的屏幕截图：

---

两者都有，用科学的符号表示。在使用Pytork时去掉科学符号

---

1.4318e-02是0.014318的科学符号

及

-1.3797e-02是-0.013797的科学符号

看

>>> th = torch.tensor(([[-5.7547e-04,  1.4318e-02,  1.9328e-04, -2.5660e-03,  3.5269e-03,
...          -1.3797e-02, -6.1871e-04, -2.7425e-03,  1.1661e-03,  1.6873e-03,
...           3.9045e-03,  1.8047e-03,  4.8656e-03,  5.7182e-03, -4.8501e-03,
...          -5.5913e-03, -4.4574e-03, -3.3154e-03, -4.9826e-03, -1.0071e-02,
...          -2.3483e-03, -1.1413e-02, -4.9613e-03, -1.1648e-02,  2.4752e-03,
...          -1.9764e-03,  3.1063e-03, -6.3481e-05,  7.6710e-03,  5.7503e-04]]))
>>> th
tensor([[-5.7547e-04,  1.4318e-02,  1.9328e-04, -2.5660e-03,  3.5269e-03,
         -1.3797e-02, -6.1871e-04, -2.7425e-03,  1.1661e-03,  1.6873e-03,
          3.9045e-03,  1.8047e-03,  4.8656e-03,  5.7182e-03, -4.8501e-03,
         -5.5913e-03, -4.4574e-03, -3.3154e-03, -4.9826e-03, -1.0071e-02,
         -2.3483e-03, -1.1413e-02, -4.9613e-03, -1.1648e-02,  2.4752e-03,
         -1.9764e-03,  3.1063e-03, -6.3481e-05,  7.6710e-03,  5.7503e-04]])
>>> torch.set_printoptions(sci_mode=False)
>>> th
tensor([[    -0.0006,      0.0143,      0.0002,     -0.0026,      0.0035,
             -0.0138,     -0.0006,     -0.0027,      0.0012,      0.0017,
              0.0039,      0.0018,      0.0049,      0.0057,     -0.0049,
             -0.0056,     -0.0045,     -0.0033,     -0.0050,     -0.0101,
             -0.0023,     -0.0114,     -0.0050,     -0.0116,      0.0025,
             -0.0020,      0.0031,     -0.0001,      0.0077,      0.0006]])