@Nicolas_Beaudoin-Gag How can we use output of `nonzero()`

function as index for accessing data from a tensor `min_dist_sort`

(`torch.DoubleTensor`

) which is `torch.Size([9567, 4])`

. It has sorted distance in each column. It has zeros, I’m looking for minimum non-zero distance in each column. Hence, I’m doing the following (where `ind`

some column number).

`min_dist_sort[(torch.nonzero(min_dist_sort[:,ind]>0))[0],ind]`

When I do this, I get the below error message.

`TypeError: Performing basic indexing on a tensor and encountered an error indexing dim 0 with an object of type torch.LongTensor. The only supported types are integers, slices, numpy scalars, or if indexing with a torch.LongTensor or torch.ByteTensor only a single Tensor may be passed.`

I’m not able to understand what the problem might be. Any suggestions here. Thank you.