implement ST_norm_from_LUT for the ResidualQuantizer (facebookresearch#3917)

mdouze · facebook-github-bot · commit a99dbcda9e4e · 2024-10-10T22:24:43.000-07:00
Summary: Pull Request resolved: facebookresearch#3917 The norm computation ST_norm_from_LUT was not implemented in Faiss. See issue facebookresearch#3882 This diff adds an implementation for it. It is probably not very quick. A few precomputed tables for AdditiveQuantizer were moved form ResidualQuantizer. Reviewed By: asadoughi Differential Revision: D63975689 fbshipit-source-id: 1bbe497a66bb3891ae727a1cd2b719479f80a836
diff --git a/faiss/IndexAdditiveQuantizer.cpp b/faiss/IndexAdditiveQuantizer.cpp
@@ -273,6 +273,7 @@ void IndexAdditiveQuantizer::search(
                 DISPATCH(ST_norm_qint8)
                 DISPATCH(ST_norm_qint4)
                 DISPATCH(ST_norm_cqint4)
+                DISPATCH(ST_norm_from_LUT)
                 case AdditiveQuantizer::ST_norm_cqint8:
                 case AdditiveQuantizer::ST_norm_lsq2x4:
                 case AdditiveQuantizer::ST_norm_rq2x4:
diff --git a/faiss/IndexIVFAdditiveQuantizer.cpp b/faiss/IndexIVFAdditiveQuantizer.cpp
@@ -275,7 +275,7 @@ InvertedListScanner* IndexIVFAdditiveQuantizer::get_InvertedListScanner(
         return new AQInvertedListScannerLUT<false, AdditiveQuantizer::st>( \
                 *this, store_pairs);
                 A(ST_LUT_nonorm)
-                // A(ST_norm_from_LUT)
+                A(ST_norm_from_LUT)
                 A(ST_norm_float)
                 A(ST_norm_qint8)
                 A(ST_norm_qint4)
diff --git a/faiss/impl/AdditiveQuantizer.cpp b/faiss/impl/AdditiveQuantizer.cpp
@@ -152,6 +152,40 @@ void AdditiveQuantizer::train_norm(size_t n, const float* norms) {
     }
 }
 
+void AdditiveQuantizer::compute_codebook_tables() {
+    centroid_norms.resize(total_codebook_size);
+    fvec_norms_L2sqr(
+            centroid_norms.data(), codebooks.data(), d, total_codebook_size);
+    size_t cross_table_size = 0;
+    for (int m = 0; m < M; m++) {
+        size_t K = (size_t)1 << nbits[m];
+        cross_table_size += K * codebook_offsets[m];
+    }
+    codebook_cross_products.resize(cross_table_size);
+    size_t ofs = 0;
+    for (int m = 1; m < M; m++) {
+        FINTEGER ki = (size_t)1 << nbits[m];
+        FINTEGER kk = codebook_offsets[m];
+        FINTEGER di = d;
+        float zero = 0, one = 1;
+        assert(ofs + ki * kk <= cross_table_size);
+        sgemm_("Transposed",
+               "Not transposed",
+               &ki,
+               &kk,
+               &di,
+               &one,
+               codebooks.data() + d * kk,
+               &di,
+               codebooks.data(),
+               &di,
+               &zero,
+               codebook_cross_products.data() + ofs,
+               &ki);
+        ofs += ki * kk;
+    }
+}
+
 namespace {
 
 // TODO
@@ -471,7 +505,6 @@ namespace {
 float accumulate_IPs(
         const AdditiveQuantizer& aq,
         BitstringReader& bs,
-        const uint8_t* codes,
         const float* LUT) {
     float accu = 0;
     for (int m = 0; m < aq.M; m++) {
@@ -483,6 +516,29 @@ float accumulate_IPs(
     return accu;
 }
 
+float compute_norm_from_LUT(const AdditiveQuantizer& aq, BitstringReader& bs) {
+    float accu = 0;
+    std::vector<int> idx(aq.M);
+    const float* c = aq.codebook_cross_products.data();
+    for (int m = 0; m < aq.M; m++) {
+        size_t nbit = aq.nbits[m];
+        int i = bs.read(nbit);
+        size_t K = 1 << nbit;
+        idx[m] = i;
+
+        accu += aq.centroid_norms[aq.codebook_offsets[m] + i];
+
+        for (int l = 0; l < m; l++) {
+            int j = idx[l];
+            accu += 2 * c[j * K + i];
+            c += (1 << aq.nbits[l]) * K;
+        }
+    }
+    // FAISS_THROW_IF_NOT(c == aq.codebook_cross_products.data() +
+    // aq.codebook_cross_products.size());
+    return accu;
+}
+
 } // anonymous namespace
 
 template <>
@@ -491,7 +547,7 @@ float AdditiveQuantizer::
                 const uint8_t* codes,
                 const float* LUT) const {
     BitstringReader bs(codes, code_size);
-    return accumulate_IPs(*this, bs, codes, LUT);
+    return accumulate_IPs(*this, bs, LUT);
 }
 
 template <>
@@ -500,7 +556,7 @@ float AdditiveQuantizer::
                 const uint8_t* codes,
                 const float* LUT) const {
     BitstringReader bs(codes, code_size);
-    return -accumulate_IPs(*this, bs, codes, LUT);
+    return -accumulate_IPs(*this, bs, LUT);
 }
 
 template <>
@@ -509,7 +565,7 @@ float AdditiveQuantizer::
                 const uint8_t* codes,
                 const float* LUT) const {
     BitstringReader bs(codes, code_size);
-    float accu = accumulate_IPs(*this, bs, codes, LUT);
+    float accu = accumulate_IPs(*this, bs, LUT);
     uint32_t norm_i = bs.read(32);
     float norm2;
     memcpy(&norm2, &norm_i, 4);
@@ -522,7 +578,7 @@ float AdditiveQuantizer::
                 const uint8_t* codes,
                 const float* LUT) const {
     BitstringReader bs(codes, code_size);
-    float accu = accumulate_IPs(*this, bs, codes, LUT);
+    float accu = accumulate_IPs(*this, bs, LUT);
     uint32_t norm_i = bs.read(8);
     float norm2 = decode_qcint(norm_i);
     return norm2 - 2 * accu;
@@ -534,7 +590,7 @@ float AdditiveQuantizer::
                 const uint8_t* codes,
                 const float* LUT) const {
     BitstringReader bs(codes, code_size);
-    float accu = accumulate_IPs(*this, bs, codes, LUT);
+    float accu = accumulate_IPs(*this, bs, LUT);
     uint32_t norm_i = bs.read(4);
     float norm2 = decode_qcint(norm_i);
     return norm2 - 2 * accu;
@@ -546,7 +602,7 @@ float AdditiveQuantizer::
                 const uint8_t* codes,
                 const float* LUT) const {
     BitstringReader bs(codes, code_size);
-    float accu = accumulate_IPs(*this, bs, codes, LUT);
+    float accu = accumulate_IPs(*this, bs, LUT);
     uint32_t norm_i = bs.read(8);
     float norm2 = decode_qint8(norm_i, norm_min, norm_max);
     return norm2 - 2 * accu;
@@ -558,10 +614,23 @@ float AdditiveQuantizer::
                 const uint8_t* codes,
                 const float* LUT) const {
     BitstringReader bs(codes, code_size);
-    float accu = accumulate_IPs(*this, bs, codes, LUT);
+    float accu = accumulate_IPs(*this, bs, LUT);
     uint32_t norm_i = bs.read(4);
     float norm2 = decode_qint4(norm_i, norm_min, norm_max);
     return norm2 - 2 * accu;
 }
 
+template <>
+float AdditiveQuantizer::
+        compute_1_distance_LUT<false, AdditiveQuantizer::ST_norm_from_LUT>(
+                const uint8_t* codes,
+                const float* LUT) const {
+    FAISS_THROW_IF_NOT(codebook_cross_products.size() > 0);
+    BitstringReader bs(codes, code_size);
+    float accu = accumulate_IPs(*this, bs, LUT);
+    BitstringReader bs2(codes, code_size);
+    float norm2 = compute_norm_from_LUT(*this, bs2);
+    return norm2 - 2 * accu;
+}
+
 } // namespace faiss
diff --git a/faiss/impl/AdditiveQuantizer.h b/faiss/impl/AdditiveQuantizer.h
@@ -29,6 +29,8 @@ struct AdditiveQuantizer : Quantizer {
     std::vector<float> codebooks; ///< codebooks
 
     // derived values
+    /// codebook #1 is stored in rows codebook_offsets[i]:codebook_offsets[i+1]
+    /// in the codebooks table of size total_codebook_size by d
     std::vector<uint64_t> codebook_offsets;
     size_t tot_bits = 0;            ///< total number of bits (indexes + norms)
     size_t norm_bits = 0;           ///< bits allocated for the norms
@@ -38,9 +40,19 @@ struct AdditiveQuantizer : Quantizer {
     bool verbose = false;    ///< verbose during training?
     bool is_trained = false; ///< is trained or not
 
-    IndexFlat1D qnorm;            ///< store and search norms
-    std::vector<float> norm_tabs; ///< store norms of codebook entries for 4-bit
-                                  ///< fastscan search
+    /// auxiliary data for ST_norm_lsq2x4 and ST_norm_rq2x4
+    /// store norms of codebook entries for 4-bit fastscan
+    std::vector<float> norm_tabs;
+    IndexFlat1D qnorm; ///< store and search norms
+
+    void compute_codebook_tables();
+
+    /// norms of all codebook entries (size total_codebook_size)
+    std::vector<float> centroid_norms;
+
+    /// dot products of all codebook entries with the previous codebooks
+    /// size sum(codebook_offsets[m] * 2^nbits[m], m=0..M-1)
+    std::vector<float> codebook_cross_products;
 
     /// norms and distance matrixes with beam search can get large, so use this
     /// to control for the amount of memory that can be allocated
diff --git a/faiss/impl/ResidualQuantizer.cpp b/faiss/impl/ResidualQuantizer.cpp
@@ -492,40 +492,6 @@ void ResidualQuantizer::refine_beam(
  * Functions using the dot products between codebook entries
  *******************************************************************/
 
-void ResidualQuantizer::compute_codebook_tables() {
-    cent_norms.resize(total_codebook_size);
-    fvec_norms_L2sqr(
-            cent_norms.data(), codebooks.data(), d, total_codebook_size);
-    size_t cross_table_size = 0;
-    for (int m = 0; m < M; m++) {
-        size_t K = (size_t)1 << nbits[m];
-        cross_table_size += K * codebook_offsets[m];
-    }
-    codebook_cross_products.resize(cross_table_size);
-    size_t ofs = 0;
-    for (int m = 1; m < M; m++) {
-        FINTEGER ki = (size_t)1 << nbits[m];
-        FINTEGER kk = codebook_offsets[m];
-        FINTEGER di = d;
-        float zero = 0, one = 1;
-        assert(ofs + ki * kk <= cross_table_size);
-        sgemm_("Transposed",
-               "Not transposed",
-               &ki,
-               &kk,
-               &di,
-               &one,
-               codebooks.data() + d * kk,
-               &di,
-               codebooks.data(),
-               &di,
-               &zero,
-               codebook_cross_products.data() + ofs,
-               &ki);
-        ofs += ki * kk;
-    }
-}
-
 void ResidualQuantizer::refine_beam_LUT(
         size_t n,
         const float* query_norms, // size n
diff --git a/faiss/impl/ResidualQuantizer.h b/faiss/impl/ResidualQuantizer.h
@@ -143,16 +143,6 @@ struct ResidualQuantizer : AdditiveQuantizer {
      * @param beam_size  if != -1, override the beam size
      */
     size_t memory_per_point(int beam_size = -1) const;
-
-    /** Cross products used in codebook tables used for beam_LUT = 1
-     */
-    void compute_codebook_tables();
-
-    /// dot products of all codebook entries with the previous codebooks
-    /// size sum(codebook_offsets[m] * 2^nbits[m], m=0..M-1)
-    std::vector<float> codebook_cross_products;
-    /// norms of all codebook entries (size total_codebook_size)
-    std::vector<float> cent_norms;
 };
 
 } // namespace faiss
diff --git a/faiss/impl/residual_quantizer_encode_steps.cpp b/faiss/impl/residual_quantizer_encode_steps.cpp
@@ -809,7 +809,7 @@ void refine_beam_LUT_mp(
                 rq.codebook_offsets.data(),
                 query_cp + rq.codebook_offsets[m],
                 rq.total_codebook_size,
-                rq.cent_norms.data() + rq.codebook_offsets[m],
+                rq.centroid_norms.data() + rq.codebook_offsets[m],
                 m,
                 codes_ptr,
                 distances_ptr,
diff --git a/tests/test_residual_quantizer.py b/tests/test_residual_quantizer.py
@@ -457,6 +457,37 @@ def test_search_decompress(self):
         # recalls are {1: 0.05, 10: 0.37, 100: 0.37}
         self.assertGreater(recalls[10], 0.35)
 
+    def do_exact_search_equiv(self, norm_type):
+        """ searching with this normalization should yield
+        exactly the same results as decompression (because the
+        norms are exact) """
+        ds = datasets.SyntheticDataset(32, 1000, 1000, 100)
+
+        # decompresses by default
+        ir = faiss.IndexResidualQuantizer(ds.d, 3, 6)
+        ir.rq.train_type = faiss.ResidualQuantizer.Train_default
+        ir.train(ds.get_train())
+        ir.add(ds.get_database())
+        Dref, Iref = ir.search(ds.get_queries(), 10)
+
+        ir2 = faiss.IndexResidualQuantizer(
+            ds.d, 3, 6, faiss.METRIC_L2, norm_type)
+
+        # assumes training is reproducible
+        ir2.rq.train_type = faiss.ResidualQuantizer.Train_default
+        ir2.train(ds.get_train())
+        ir2.add(ds.get_database())
+        D, I = ir2.search(ds.get_queries(), 10)
+
+        np.testing.assert_allclose(D, Dref, atol=1e-5)
+        np.testing.assert_array_equal(I, Iref)
+
+    def test_exact_equiv_norm_float(self):
+        self.do_exact_search_equiv(faiss.AdditiveQuantizer.ST_norm_float)
+
+    def test_exact_equiv_norm_from_LUT(self):
+        self.do_exact_search_equiv(faiss.AdditiveQuantizer.ST_norm_from_LUT)
+
     def test_reestimate_codebook(self):
         ds = datasets.SyntheticDataset(32, 1000, 1000, 100)
 
@@ -858,6 +889,9 @@ def test_norm_cqint(self):
         self.do_test_accuracy(True, faiss.AdditiveQuantizer.ST_norm_cqint8)
         self.do_test_accuracy(True, faiss.AdditiveQuantizer.ST_norm_cqint4)
 
+    def test_norm_from_LUT(self):
+        self.do_test_accuracy(True, faiss.AdditiveQuantizer.ST_norm_from_LUT)
+
     def test_factory(self):
         index = faiss.index_factory(12, "IVF1024,RQ8x8_Nfloat")
         self.assertEqual(index.nlist, 1024)
@@ -1105,7 +1139,7 @@ def test_precomp(self):
             ofs += kk * K
             np.testing.assert_allclose(py_table, cpp_table, atol=1e-5)
 
-        cent_norms = faiss.vector_to_array(rq.cent_norms)
+        cent_norms = faiss.vector_to_array(rq.centroid_norms)
         np.testing.assert_array_almost_equal(
             np.hstack(cent_norms_ref), cent_norms, decimal=5)
 
