我有一个a形状张量(1, N, 1)。我需要沿维度左移张量1并添加一个新值作为替换。我找到了一种方法来完成这项工作,下面是代码。
a = torch.from_numpy(np.array([1, 2, 3]))
a = a.unsqueeze(0).unsqeeze(2) # (1, 3, 1), my data resembles this shape, therefore the two unsqueeze
# want to left shift a along dim 1 and insert a new value at the end
# I achieve the required shifts using the following code
b = a.squeeze
c = b.roll(shifts=-1)
c[-1] = 4
c = c.unsqueeze(0).unsqueeze(2)
# c = [[[2], [3], [4]]]
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我的问题是,有没有更简单的方法来做到这一点?谢谢。
您实际上不需要挤压并执行操作,然后取消挤压输入张量a。相反,您可以直接执行这两个操作,如下所示:
# No need to squeeze
c = torch.roll(a, shifts=-1, dims=1)
c[:,-1,:] = 4
# No need to unsqeeze
# c = [[[2], [3], [4]]]
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