I have a 3D tensor of size (8,8,2052), all zeros. This will be the mask.
Also, there is a tensor of size (29, 3), which is basically a list of indices that need to be 1 in the mask.
Is there a pytorch way of doing this? im avoiding using python for loop, to iterate over the indices’ list.
so far i tried the following: take, index_select, “smart” indexing…
i put a lot of time on this, tried a lot of approaches and nothing seems to give me  what im looking for.
Any ideas?
Here is an example of the indices list:
tensor([[0, 1, 0],

        [0, 2, 0],

        [0, 7, 0],

        [1, 2, 0],

        [1, 3, 0],

        [1, 4, 0],

        [1, 6, 0],

        [1, 7, 0],

        [2, 2, 0],

        [3, 3, 0],

        [3, 4, 0],

        [4, 0, 0],

        [4, 2, 0],

        [4, 4, 0],

        [4, 6, 0],

        [5, 0, 0],

        [5, 4, 0],

        [5, 5, 0],

        [5, 6, 0],

        [6, 0, 0],

        [6, 2, 0],

        [6, 4, 0],

        [6, 5, 0],

        [6, 6, 4],

        [7, 0, 0],

        [7, 2, 1],

        [7, 4, 2],

        [7, 5, 40],

        [7, 6, 0]])