Hey,
I am wondering if there’s a more efficient method using pytorch to concat 2 tensors together of different dimensions.
Suppose
Tensor A shape: 1, 2
Tensor B shape: 4, 1
I want to concat these together to make
Tensor A_B: 4, 3
Where Tensor A 2nd dimension row is copied 4 times, with Tensor B’s respective second dimension value at the end of each row.
In other words, I want to do this:
A: [ 1, 2 ]
B: [ 1  ],
[ 2 ],
[ 3 ],
[ 4 ]
A_B: [ 1, 2, 1 ],
[ 1, 2, 2 ],
[ 1, 2, 3 ],
[ 1, 2, 4 ],
I know how to do this with loops, but it takes time with large datasets, I am wondering if it’s possible to do with a built in function.
Thanks!