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並前往https://www.jeanfeydy.com/Talks/autodiff_appliedmaths/AutoDiff_AppliedMaths.pdf

Automatic differentiation for applied mathematicians - Jean ...

K_qq = torch.exp( - sqd / s**2 ). # Gaussian kernel v. = K_qq @ p # matrix mult. (N,N)@(N,D) = (N,D). # Output the kernel norm H(q,p): .5*<p,v>.

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