I have a pair of value - index tensors.
value = torch.rand(2, 128, 10, 10) # (batch, feature_size, x, y) indices = torch.randint_like(torch.zeros(2, 30, 2), min=0, max=9) # (batch, n_sample, xy)
The expected shape of output tensor is like below,
res: torch.Size([2, 128, 30]) # (batch, feature_size, n_sample)
This operation means sampling 30 points among the 10x10 = 100 plane.
I tried to use index_select, but it only works with index tensor of 1-D.
I have an option that create a bool tensor having size of (2, 10, 10) and use masked_select.
However, it is ineffective as the number of samples increase.
I need your help