
Shaikh Azhar
@shaikhazhar84
63 replies
137 recasts
500 reactions
53 replies
209 recasts
847 reactions
5 replies
14 recasts
136 reactions
4 replies
4 recasts
75 reactions
5 replies
9 recasts
71 reactions
41 replies
512 recasts
947 reactions
83 replies
131 recasts
783 reactions
1 reply
10 recasts
68 reactions
2 replies
2 recasts
22 reactions
0 reply
3 recasts
4 reactions
0 reply
2 recasts
38 reactions
0 reply
3 recasts
50 reactions
41 replies
424 recasts
1702 reactions
0 reply
2 recasts
4 reactions
5 replies
19 recasts
121 reactions
4 replies
25 recasts
264 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 🤣
Would love more consistency 19 replies
206 recasts
934 reactions
72 replies
198 recasts
1441 reactions
106 replies
70 recasts
733 reactions
4 replies
44 recasts
229 reactions