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Showing content from https://docs.pytorch.org/docs/stable/generated/torch.outer.html below:

torch.outer — PyTorch 2.7 documentation

torch.outer(input, vec2, *, out=None) → Tensor¶

Outer product of input and vec2. If input is a vector of size n n n and vec2 is a vector of size m m m, then out must be a matrix of size ( n × m ) (n \times m) (n×m).

Parameters

• input (Tensor) – 1-D input vector

• vec2 (Tensor) – 1-D input vector

Keyword Arguments

out (Tensor, optional) – optional output matrix

Example:

>>> v1 = torch.arange(1., 5.)
>>> v2 = torch.arange(1., 4.)
>>> torch.outer(v1, v2)
tensor([[  1.,   2.,   3.],
        [  2.,   4.,   6.],
        [  3.,   6.,   9.],
        [  4.,   8.,  12.]])

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