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The differences between the APIs of numpy, cupy and torch are so fascinating....
```
>>> import torch as np
>>> np.arange(10)
tensor([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> a = np.zeros(20)
>>> a[19:-1:-2] = np.arange(10)
```
Torch doesn't let you have ranges that go backwards 🤣
Would love more consistency 0 reply
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