Hi,
I get the following cuda error when I try to move a tensor from cpu to device:

/opt/conda/conda-bld/pytorch_1579022034529/work/aten/src/ATen/native/cuda/IndexKernel.cu:60: lambda ->auto::operator()(int)->auto: block: [0,0,0], thread: [0,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed.
CUDA error: device-side assert triggered

The code I am using is as follows:
cur_inds = has_answer_vector[sample_ind]
tensorized_inds = torch.from_numpy(np.array(cur_inds))
cur_positive_inds = tensorized_inds.to(logits.device).long()

The error occurs on the final line, but it only fails on some batches and not others.
has_answer_vector is simply a list of lists with an integer in them
logits is a FloatTensor
An example of the values I get when it fails are:
has_answer_vector: [[1], [1], [1], [1], [0], [0], [0], [0], [16], [0], [1], [2], [146], [0], [9], [3]]
sample ind: 13
cur_inds: [0]
tensorized_inds: tensor([0])
tensorized_inds.device : cpu
logits.device : cuda:0

Any ideas why this happens?