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June 7, 2022 22:41
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How to use pytorch scatter_add
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[nav] In [48]: table = torch.arange(12, dtype=torch.float32).reshape(4,3) | |
[ins] In [49]: new_table = torch.zeros(4, 3) | |
[ins] In [50]: index = torch.tensor([1,1,0,3]) | |
[ins] In [51]: index2 = index.unsqueeze(1).expand(4,3) | |
[ins] In [52]: table | |
Out[52]: | |
tensor([[ 0., 1., 2.], | |
[ 3., 4., 5.], | |
[ 6., 7., 8.], | |
[ 9., 10., 11.]]) | |
[ins] In [53]: new_table | |
Out[53]: | |
tensor([[0., 0., 0.], | |
[0., 0., 0.], | |
[0., 0., 0.], | |
[0., 0., 0.]]) | |
[ins] In [54]: index2 | |
Out[54]: | |
tensor([[1, 1, 1], | |
[1, 1, 1], | |
[0, 0, 0], | |
[3, 3, 3]]) | |
[ins] In [55]: new_table.scatter_add_(0, index2, table) | |
Out[55]: | |
tensor([[ 6., 7., 8.], | |
[ 3., 5., 7.], | |
[ 0., 0., 0.], | |
[ 9., 10., 11.]]) |
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