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better cython compiler directives for choleskies

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James Hensman 2015-04-30 13:47:38 +01:00
parent e9ff315a19
commit 3c3af7f3fe
3 changed files with 211 additions and 625 deletions
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7
GPy/inference/latent_function_inference/svgp.py
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@ -13,7 +13,12 @@ class SVGP(LatentFunctionInference):
#expand cholesky representation
L = choleskies.flat_to_triang(q_u_chol)
S = np.einsum('ijk,ljk->ilk', L, L) #L.dot(L.T)
S_ein = np.einsum('ijk,ljk->ilk', L, L) #L.dot(L.T)
S = np.empty((num_outputs, num_inducing, num_inducing))
[np.dot(L[:,:,i], L[:,:,i].T, S[i,:,:]) for i in range(num_outputs)]
S = S.swapaxes(0,2)
#Si,_ = linalg.dpotri(np.asfortranarray(L), lower=1)
Si = choleskies.multiple_dpotri(L)
logdetS = np.array([2.*np.sum(np.log(np.abs(np.diag(L[:,:,i])))) for i in range(L.shape[-1])])