torch.ger(vec1, vec2, out=None) → Tensor
Outer product of vec1 and vec2. If vec1 is a vector of size nn and vec2 is a vector of size mm, then out must be a matrix of size (n×m).
| Parameters: |
|---|
Example:
>>> v1 = torch.arange(1., 5.)
>>> v2 = torch.arange(1., 4.)
>>> torch.ger(v1, v2)
tensor([[ 1., 2., 3.],
[ 2., 4., 6.],
[ 3., 6., 9.],
[ 4., 8., 12.]])
从例子以及描述可知，这是一个向量间外积的操作。
pytorch中Math operation操作：torch.ger()
原文：https://www.cnblogs.com/qinduanyinghua/p/9715080.html