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def Rop(y, x, v): | |
"""Computes an Rop. | |
Arguments: | |
y (Variable): output of differentiated function | |
x (Variable): differentiated input | |
v (Variable): vector to be multiplied with Jacobian from the right | |
""" | |
w = torch.ones_like(y, requires_grad=True) | |
return torch.autograd.grad(torch.autograd.grad(y, x, w), w, v) |
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