The documentation might be slightly out of date if you compile both PyTorch and torchvision yourself or take the nightlies, because it seems to work for me:
In [1]: import torch, torchvision
In [2]: @torch.jit.script
...: def fn(a, b):
...: return torchvision.ops.nms(a, b, 0.3)
...:
In [3]: fn.graph
Out[3]:
graph(%a.1 : Tensor,
%b.1 : Tensor):
%5 : Function = prim::Constant[name="nms"]()
%4 : float = prim::Constant[value=0.29999999999999999]() # <ipython-input-2-cfe32fda8960>:3:37
%6 : Tensor = prim::CallFunction(%5, %a.1, %b.1, %4) # <ipython-input-2-cfe32fda8960>:3:11
return (%6)
In [4]: fn(torch.randn(10, 4), torch.randn(10))
Out[4]: tensor([2, 8, 6, 7, 0, 9, 4, 5, 3, 1])
Best regards
Thomas