torch.cat案例演示

news/2024/10/5 17:40:12/文章来源:https://blog.csdn.net/w13716207404/article/details/140232293

>>> import torch
>>> x = torch.randn(2, 3)
>>> x
tensor([[ 0.6580, -1.0969, -0.4614],[-0.1034, -0.5790,  0.1497]])
# 将2行3列的数组复制3份，变成6行3列，列数没变，行数增多
>>> torch.cat((x, x, x), 0)
tensor([[ 0.6580, -1.0969, -0.4614],[-0.1034, -0.5790,  0.1497],[ 0.6580, -1.0969, -0.4614],[-0.1034, -0.5790,  0.1497],[ 0.6580, -1.0969, -0.4614],[-0.1034, -0.5790,  0.1497]])
# 将2行3列的数组复制3份，变成2行6列，行数没变，列数增多
>>> torch.cat((x, x, x), 1)
ensor([[ 0.6580, -1.0969, -0.4614,  0.6580, -1.0969, -0.4614,  0.6580,-1.0969, -0.4614],[-0.1034, -0.5790,  0.1497, -0.1034, -0.5790,  0.1497, -0.1034,-0.5790,  0.1497]])

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