(self, q)
| 331 | # dists = np.sum(centroid_dists.reshape(self.X_enc.shape), axis=-1) |
| 332 | |
| 333 | def dists_sq(self, q): |
| 334 | lut = _fit_pq_lut(q, centroids=self.centroids, |
| 335 | elemwise_dist_func=dists_elemwise_sq) |
| 336 | |
| 337 | offsets_cpp = self._encoder.get_offsets() |
| 338 | scale_cpp = self._encoder.get_scale() |
| 339 | |
| 340 | # print "py, cpp offsets:" |
| 341 | # print self.offsets |
| 342 | # print offsets_cpp |
| 343 | |
| 344 | # print "py, cpp scale factors:" |
| 345 | # print self.scale |
| 346 | # print scale_cpp |
| 347 | |
| 348 | lut_py = self._quantize_lut(lut) |
| 349 | # print "lets try to read the cpp lut..." |
| 350 | # self._encoder.lut_l2(q) |
| 351 | self._encoder.lut_dot(q) |
| 352 | lut_cpp = self._encoder.get_lut() |
| 353 | |
| 354 | print "py, cpp lut:" # within +/- 1 using naive lut impl in cpp |
| 355 | print lut_py |
| 356 | print lut_cpp |
| 357 | |
| 358 | # return self._dists(lut) |
| 359 | dists_py = self._dists(lut) |
| 360 | dists_cpp = self._encoder.dists_sq(q)[:len(dists_py)] # strip padding |
| 361 | |
| 362 | # print "py, cpp initial dists:" |
| 363 | # print dists_py[:20] |
| 364 | # print dists_cpp[:20] |
| 365 | |
| 366 | # print "py, cpp final dists:" |
| 367 | # print dists_py[-20:] |
| 368 | # print dists_cpp[-20:] |
| 369 | |
| 370 | return dists_py |
| 371 | # return dists_cpp |
| 372 | |
| 373 | def dot_prods(self, q): |
| 374 | lut = _fit_pq_lut(q, centroids=self.centroids, |
nothing calls this directly
no test coverage detected