I’m a little bit confused why I don’t get gradients in the following example using either repeat or expand
x = torch.randn(10, dtype=torch.float32, requires_grad=True)
x = x.repeat(5, 1)
y = (x**2).sum()
y.backward()
print(x.grad is None)

x = torch.randn(10, dtype=torch.float32, requires_grad=True)
x = x.expand(5, -1)
y = (x**2).sum()
y.backward()
print(x.grad is None)

In both cases x.grad is None.
On the other hand, this example does give you gradients
x = torch.randn(5,10, requires_grad=True)
y = (x**2).sum()
y.backward()
print(x.grad is None)

What’s going on here? Is this because x is no longer a leaf?