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showing results for torch cat
1>>> x = torch.randn(2, 3)
2>>> x
3tensor([[ 0.6580, -1.0969, -0.4614],
4 [-0.1034, -0.5790, 0.1497]])
5>>> torch.cat((x, x, x), 0)
6tensor([[ 0.6580, -1.0969, -0.4614],
7 [-0.1034, -0.5790, 0.1497],
8 [ 0.6580, -1.0969, -0.4614],
9 [-0.1034, -0.5790, 0.1497],
10 [ 0.6580, -1.0969, -0.4614],
11 [-0.1034, -0.5790, 0.1497]])
12>>> torch.cat((x, x, x), 1)
13tensor([[ 0.6580, -1.0969, -0.4614, 0.6580, -1.0969, -0.4614, 0.6580,
14 -1.0969, -0.4614],
15 [-0.1034, -0.5790, 0.1497, -0.1034, -0.5790, 0.1497, -0.1034,
16 -0.5790, 0.1497]])
17
1> torch.cat(
2 (t1,t2,t3)
3 ,dim=0
4)
5tensor([1, 1, 1, 2, 2, 2, 3, 3, 3])
6
1> torch.cat(
2 (
3 t1.unsqueeze(0)
4 ,t2.unsqueeze(0)
5 ,t3.unsqueeze(0)
6 )
7 ,dim=0
8)
9tensor([[1, 1, 1],
10 [2, 2, 2],
11 [3, 3, 3]])
12
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