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June 26, 2017 14:02
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In [1]: import torch | |
In [2]: x = torch.arange(0, 64).view(8, 8) | |
In [3]: x | |
Out[3]: | |
0 1 2 3 4 5 6 7 | |
8 9 10 11 12 13 14 15 | |
16 17 18 19 20 21 22 23 | |
24 25 26 27 28 29 30 31 | |
32 33 34 35 36 37 38 39 | |
40 41 42 43 44 45 46 47 | |
48 49 50 51 52 53 54 55 | |
56 57 58 59 60 61 62 63 | |
[torch.FloatTensor of size 8x8] | |
In [4]: x[:, [3, 4]] | |
Out[4]: | |
3 4 | |
11 12 | |
19 20 | |
27 28 | |
35 36 | |
43 44 | |
51 52 | |
59 60 | |
[torch.FloatTensor of size 8x2] | |
In [5]: x[[1, 1], :] | |
Out[5]: | |
8 9 10 11 12 13 14 15 | |
8 9 10 11 12 13 14 15 | |
[torch.FloatTensor of size 2x8] | |
In [6]: x = x.view(4, 4, 4) | |
In [7]: x | |
Out[7]: | |
(0 ,.,.) = | |
0 1 2 3 | |
4 5 6 7 | |
8 9 10 11 | |
12 13 14 15 | |
(1 ,.,.) = | |
16 17 18 19 | |
20 21 22 23 | |
24 25 26 27 | |
28 29 30 31 | |
(2 ,.,.) = | |
32 33 34 35 | |
36 37 38 39 | |
40 41 42 43 | |
44 45 46 47 | |
(3 ,.,.) = | |
48 49 50 51 | |
52 53 54 55 | |
56 57 58 59 | |
60 61 62 63 | |
[torch.FloatTensor of size 4x4x4] | |
In [8]: x[:, [3, 2, 1], :] | |
Out[8]: | |
(0 ,.,.) = | |
12 13 14 15 | |
8 9 10 11 | |
4 5 6 7 | |
(1 ,.,.) = | |
28 29 30 31 | |
24 25 26 27 | |
20 21 22 23 | |
(2 ,.,.) = | |
44 45 46 47 | |
40 41 42 43 | |
36 37 38 39 | |
(3 ,.,.) = | |
60 61 62 63 | |
56 57 58 59 | |
52 53 54 55 | |
[torch.FloatTensor of size 4x3x4] | |
In [9]: x[[0, 1], [0], :] | |
Out[9]: | |
0 1 2 3 | |
16 17 18 19 | |
[torch.FloatTensor of size 2x4] |
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