How to convert a pytorch tensor into a numpy array?
How do I convert a torch tensor to numpy?

copied from pytorch doc:
a = torch.ones(5)
print(a)


tensor([1., 1., 1., 1., 1.])

b = a.numpy()
print(b)


[1. 1. 1. 1. 1.]


Following from the below discussion with @John:
In case the tensor is (or can be) on GPU, or in case it (or it can) require grad, one can use
t.detach().cpu().numpy()

I recommend to uglify your code only as much as required.
