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running cython

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This commit is contained in:
James Hensman 2015-08-17 15:01:19 +01:00
parent 521ca142bb
commit f292f6edd0
1 changed files with 42 additions and 12 deletions
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54
GPy/util/choleskies_cython.c
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@ -3271,7 +3271,7 @@ static PyObject *__pyx_pf_3GPy_4util_17choleskies_cython_6backprop_gradient_par(
* dL_dK[k, k] /= (2. * L[k, k]) * dL_dK[k, k] /= (2. * L[k, k])
* return dL_dK # <<<<<<<<<<<<<< * return dL_dK # <<<<<<<<<<<<<<
* *
* cdef void chol_backprop(int N, double[:, ::1] dL, double[:, ::1] L):# nogil: * cdef void chol_backprop(int N, double[:, ::1] dL, double[:, ::1] L) nogil:
*/ */
__Pyx_XDECREF(__pyx_r); __Pyx_XDECREF(__pyx_r);
__pyx_t_1 = __pyx_memoryview_fromslice(__pyx_v_dL_dK, 2, (PyObject *(*)(char *)) __pyx_memview_get_double, (int (*)(char *, PyObject *)) __pyx_memview_set_double, 0);; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_1 = __pyx_memoryview_fromslice(__pyx_v_dL_dK, 2, (PyObject *(*)(char *)) __pyx_memview_get_double, (int (*)(char *, PyObject *)) __pyx_memview_set_double, 0);; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
@ -3310,7 +3310,7 @@ static PyObject *__pyx_pf_3GPy_4util_17choleskies_cython_6backprop_gradient_par(
/* "GPy/util/choleskies_cython.pyx":83 /* "GPy/util/choleskies_cython.pyx":83
* return dL_dK * return dL_dK
* *
* cdef void chol_backprop(int N, double[:, ::1] dL, double[:, ::1] L):# nogil: # <<<<<<<<<<<<<< * cdef void chol_backprop(int N, double[:, ::1] dL, double[:, ::1] L) nogil: # <<<<<<<<<<<<<<
* cdef int i, k, n * cdef int i, k, n
* *
*/ */
@ -3323,7 +3323,6 @@ static void __pyx_f_3GPy_4util_17choleskies_cython_chol_backprop(int __pyx_v_N,
double __pyx_v_beta; double __pyx_v_beta;
int __pyx_v_incx; int __pyx_v_incx;
double __pyx_v_scale; double __pyx_v_scale;
__Pyx_RefNannyDeclarations
long __pyx_t_1; long __pyx_t_1;
long __pyx_t_2; long __pyx_t_2;
long __pyx_t_3; long __pyx_t_3;
@ -3359,7 +3358,6 @@ static void __pyx_f_3GPy_4util_17choleskies_cython_chol_backprop(int __pyx_v_N,
int __pyx_lineno = 0; int __pyx_lineno = 0;
const char *__pyx_filename = NULL; const char *__pyx_filename = NULL;
int __pyx_clineno = 0; int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("chol_backprop", 0);
/* "GPy/util/choleskies_cython.pyx":87 /* "GPy/util/choleskies_cython.pyx":87
* *
@ -3565,7 +3563,7 @@ static void __pyx_f_3GPy_4util_17choleskies_cython_chol_backprop(int __pyx_v_N,
/* "GPy/util/choleskies_cython.pyx":83 /* "GPy/util/choleskies_cython.pyx":83
* return dL_dK * return dL_dK
* *
* cdef void chol_backprop(int N, double[:, ::1] dL, double[:, ::1] L):# nogil: # <<<<<<<<<<<<<< * cdef void chol_backprop(int N, double[:, ::1] dL, double[:, ::1] L) nogil: # <<<<<<<<<<<<<<
* cdef int i, k, n * cdef int i, k, n
* *
*/ */
@ -3575,7 +3573,6 @@ static void __pyx_f_3GPy_4util_17choleskies_cython_chol_backprop(int __pyx_v_N,
__pyx_L1_error:; __pyx_L1_error:;
__Pyx_WriteUnraisable("GPy.util.choleskies_cython.chol_backprop", __pyx_clineno, __pyx_lineno, __pyx_filename, 0); __Pyx_WriteUnraisable("GPy.util.choleskies_cython.chol_backprop", __pyx_clineno, __pyx_lineno, __pyx_filename, 0);
__pyx_L0:; __pyx_L0:;
__Pyx_RefNannyFinishContext();
} }
/* "GPy/util/choleskies_cython.pyx":108 /* "GPy/util/choleskies_cython.pyx":108
@ -3717,7 +3714,7 @@ static PyObject *__pyx_pf_3GPy_4util_17choleskies_cython_8backprop_gradient_par_
* cdef double[:, ::1] dL_dK = np.tril(dL) # makes a copy, c-contig * cdef double[:, ::1] dL_dK = np.tril(dL) # makes a copy, c-contig
* cdef double[:, ::1] L_cont = np.ascontiguousarray(L) # <<<<<<<<<<<<<< * cdef double[:, ::1] L_cont = np.ascontiguousarray(L) # <<<<<<<<<<<<<<
* cdef int N = L.shape[0] * cdef int N = L.shape[0]
* if True:#with nogil: * with nogil:
*/ */
__pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 110; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 110; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3); __Pyx_GOTREF(__pyx_t_3);
@ -3763,21 +3760,54 @@ static PyObject *__pyx_pf_3GPy_4util_17choleskies_cython_8backprop_gradient_par_
* cdef double[:, ::1] dL_dK = np.tril(dL) # makes a copy, c-contig * cdef double[:, ::1] dL_dK = np.tril(dL) # makes a copy, c-contig
* cdef double[:, ::1] L_cont = np.ascontiguousarray(L) * cdef double[:, ::1] L_cont = np.ascontiguousarray(L)
* cdef int N = L.shape[0] # <<<<<<<<<<<<<< * cdef int N = L.shape[0] # <<<<<<<<<<<<<<
* if True:#with nogil: * with nogil:
* chol_backprop(N, dL_dK, L_cont) * chol_backprop(N, dL_dK, L_cont)
*/ */
__pyx_v_N = (__pyx_v_L.shape[0]); __pyx_v_N = (__pyx_v_L.shape[0]);
/* "GPy/util/choleskies_cython.pyx":113 /* "GPy/util/choleskies_cython.pyx":112
* cdef double[:, ::1] L_cont = np.ascontiguousarray(L)
* cdef int N = L.shape[0] * cdef int N = L.shape[0]
* if True:#with nogil: * with nogil: # <<<<<<<<<<<<<<
* chol_backprop(N, dL_dK, L_cont)
* return np.asarray(dL_dK)
*/
{
#ifdef WITH_THREAD
PyThreadState *_save;
Py_UNBLOCK_THREADS
#endif
/*try:*/ {
/* "GPy/util/choleskies_cython.pyx":113
* cdef int N = L.shape[0]
* with nogil:
* chol_backprop(N, dL_dK, L_cont) # <<<<<<<<<<<<<< * chol_backprop(N, dL_dK, L_cont) # <<<<<<<<<<<<<<
* return np.asarray(dL_dK) * return np.asarray(dL_dK)
*/ */
__pyx_f_3GPy_4util_17choleskies_cython_chol_backprop(__pyx_v_N, __pyx_v_dL_dK, __pyx_v_L_cont); __pyx_f_3GPy_4util_17choleskies_cython_chol_backprop(__pyx_v_N, __pyx_v_dL_dK, __pyx_v_L_cont);
}
/* "GPy/util/choleskies_cython.pyx":112
* cdef double[:, ::1] L_cont = np.ascontiguousarray(L)
* cdef int N = L.shape[0]
* with nogil: # <<<<<<<<<<<<<<
* chol_backprop(N, dL_dK, L_cont)
* return np.asarray(dL_dK)
*/
/*finally:*/ {
/*normal exit:*/{
#ifdef WITH_THREAD
Py_BLOCK_THREADS
#endif
goto __pyx_L5;
}
__pyx_L5:;
}
}
/* "GPy/util/choleskies_cython.pyx":114 /* "GPy/util/choleskies_cython.pyx":114
* if True:#with nogil: * with nogil:
* chol_backprop(N, dL_dK, L_cont) * chol_backprop(N, dL_dK, L_cont)
* return np.asarray(dL_dK) # <<<<<<<<<<<<<< * return np.asarray(dL_dK) # <<<<<<<<<<<<<<
*/ */