It’s standard for pytorch tensors to be organized in a (N, C, <other_sizes>) fashion. For example, images would be represented as (N, C, H, W).
You could permute the dimensions to use NLLLoss:
tensor # Nxd1xd2…dkxC
tensor.permute(0, 2, 3, ..., 1)