![Daniel Martinez pfp](https://imagedelivery.net/BXluQx4ige9GuW0Ia56BHw/a53a2125-bb8d-42eb-3ac7-9edfa8ecee00/rectcrop3)
Daniel Martinez
@danielmartinez7
971 Following
573 Followers
0 reply
0 recast
0 reaction
0 reply
0 recast
0 reaction
1 reply
0 recast
1 reaction
59 replies
121 recasts
723 reactions
0 reply
0 recast
0 reaction
2 replies
5 recasts
26 reactions
1 reply
0 recast
1 reaction
6 replies
69 recasts
246 reactions
1 reply
0 recast
1 reaction
23 replies
107 recasts
429 reactions
24 replies
139 recasts
233 reactions
169 replies
27 recasts
70 reactions
39 replies
215 recasts
962 reactions
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 π€£
Would love more consistency 40 replies
485 recasts
1285 reactions
0 reply
0 recast
0 reaction
47 replies
846 recasts
3307 reactions