🐛 Bug

As discussed here, calling kthvalue like torch.kthvalue(a, k, out=(a, indices)) produces a buffer overflow. Natalia suggested disallowing outputs that overlap with the input.

cc @VitalyFedyunin

Description

Implement a YOLO model and add it to the DJL model zoo

References

• https://arxiv.org/abs/1506.02640

Issue to track tutorial requests:

• Deep Learning with PyTorch: A 60 Minute Blitz - #69

It would be helpful to have visualisation tools to plot/debug information in the SNNs. I also think we should be slightly careful to use correct/adequate abstractions since it is 1) not the primary purpose of Norse, and 2) we don't want to maintain something that will change a lot in the future.

Here are a few suggestions for visualisations:

• Layer parameters
  • Weights / tuning curves

• asarray : converts all array-likes to a numpy array; no copy for arrays
• astensor converts all array-likes to a mygrad tensor; returns tensors unchanged
• assert_almost_equal with various options to include checks of gradients and to include checks ac