torch.cartesian_prod

torch.cartesian_prod(*tensors)

Do cartesian product of the given sequence of tensors. The behavior is similar to python’s itertools.product.

Parameters:

*tensors (Tensor) – any number of 1 dimensional tensors.

Returns:

A tensor equivalent to converting all the input tensors into lists, do itertools.product on these lists, and finally convert the resulting list into tensor.

Return type:

Tensor

Example:

>>> import itertools
>>> a = [1, 2, 3]
>>> b = [4, 5]
>>> list(itertools.product(a, b))
[(1, 4), (1, 5), (2, 4), (2, 5), (3, 4), (3, 5)]
>>> tensor_a = torch.tensor(a)
>>> tensor_b = torch.tensor(b)
>>> torch.cartesian_prod(tensor_a, tensor_b)
tensor([[1, 4],
        [1, 5],
        [2, 4],
        [2, 5],
        [3, 4],
        [3, 5]])