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@apaszke
apaszke / Rop.py
Last active January 16, 2023 07:20
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)
@dpgettings
dpgettings / dummyfig.tex
Created March 19, 2014 05:19
Fancy placeholder figures in LaTeX
%% This part goes in preamble
\newcommand{\dummyfig}[1]{
\centering
\fbox{
\begin{minipage}[c][0.33\textheight][c]{0.5\textwidth}
\centering{#1}
\end{minipage}
}
}