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minor corrections :)
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2 changed files with 2314 additions and 3890 deletions
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@ -80,12 +80,12 @@ def backprop_gradient_par(double[:,:] dL, double[:,:] L):
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dL_dK[k, k] /= (2. * L[k, k])
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return dL_dK
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cdef void chol_backprop(int N, double[:, ::1] dL, double[:, ::1] L) nogil:
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cdef void chol_backprop(int N, double[:, ::1] dL, double[:, ::1] L):# nogil:
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cdef int i, k, n
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# DSYMV required constant arguments
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cdef double alpha=-1, beta=1
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cdef int incx=1
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cdef int incx=N
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# DSCAL required arguments
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cdef double scale
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@ -93,22 +93,22 @@ cdef void chol_backprop(int N, double[:, ::1] dL, double[:, ::1] L) nogil:
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dL[N - 1, N - 1] /= (2. * L[N - 1, N - 1])
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for k in range(N-2, -1, -1):
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n = N-k-1
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cblas.dsymv(uplo='l', n=&n, alpha=&alpha, a=&dL[k + 1, k + 1], lda=&N, x=&L[k, k + 1], incx=&incx,
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cblas.dsymv(uplo='u', n=&n, alpha=&alpha, a=&dL[k + 1, k + 1], lda=&N, x=&L[k + 1, k], incx=&incx,
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beta=&beta, y=&dL[k + 1, k], incy=&N)
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for i in xrange(0, N - k - 1):
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dL[k + 1 + i, k] -= dL[k + i+ 1, k + i + 1] * L[k, k + 1 + i]
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dL[k + 1 + i, k] -= dL[k + i+ 1, k + i + 1] * L[k + 1 + i, k]
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scale = 1.0 / L[k, k]
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cblas.dscal(&n, &scale , &dL[k + 1, k], &N)
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dL[k, k] -= cblas.ddot(&n, &dL[k + 1, k], &N, &L[k, k], &incx)
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#
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dL[k, k] -= cblas.ddot(&n, &dL[k + 1, k], &N, &L[k+1, k], &incx)
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dL[k, k] /= (2.0 * L[k, k])
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def backprop_gradient_par_c(double[:, :] dL, double[:, :] L):
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cdef double[:, ::1] dL_dK = np.tril(dL) # makes a copy, c-contig
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cdef double[:, ::1] L_cont = np.ascontiguousarray(L)
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cdef int N = L.shape[0]
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with nogil:
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if True:#with nogil:
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chol_backprop(N, dL_dK, L_cont)
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return np.asarray(dL_dK)
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