Fix some typos (facebookresearch#2645)

Summary: Pull Request resolved: facebookresearch#2645 Reviewed By: mdouze Differential Revision: D42338453 Pulled By: algoriddle fbshipit-source-id: 1ea5c33960a42c9e8624b10eba067e722d712e34
arangodb · Jan 4, 2023 · af833cd · af833cd
1 parent f3577ab
commit af833cd
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Showing 9 changed files with 10 additions and 10 deletions.
diff --git a/faiss/IndexBinaryIVF.h b/faiss/IndexBinaryIVF.h
@@ -196,7 +196,7 @@ struct IndexBinaryIVF : IndexBinary {
         return invlists->list_size(list_no);
     }
 
-    /** intialize a direct map
+    /** initialize a direct map
      *
      * @param new_maintain_direct_map    if true, create a direct map,
      *                                   else clear it

diff --git a/faiss/IndexIVF.cpp b/faiss/IndexIVF.cpp
@@ -458,7 +458,7 @@ void IndexIVF::search_preassigned(
          * that are in common between the two
          ******************************************************/
 
-        // intialize + reorder a result heap
+        // initialize + reorder a result heap
 
         auto init_result = [&](float* simi, idx_t* idxi) {
             if (!do_heap_init)

diff --git a/faiss/IndexIVF.h b/faiss/IndexIVF.h
@@ -339,7 +339,7 @@ struct IndexIVF : Index, Level1Quantizer {
     /// are the ids sorted?
     bool check_ids_sorted() const;
 
-    /** intialize a direct map
+    /** initialize a direct map
      *
      * @param new_maintain_direct_map    if true, create a direct map,
      *                                   else clear it

diff --git a/faiss/IndexIVFFastScan.h b/faiss/IndexIVFFastScan.h
@@ -169,7 +169,7 @@ struct IndexIVFFastScan : IndexIVF {
             size_t* nlist_out,
             const Scaler& scaler) const;
 
-    // implem 14 is mukltithreaded internally across nprobes and queries
+    // implem 14 is multithreaded internally across nprobes and queries
     template <class C, class Scaler>
     void search_implem_14(
             idx_t n,

diff --git a/faiss/VectorTransform.h b/faiss/VectorTransform.h
@@ -120,7 +120,7 @@ struct RandomRotationMatrix : LinearTransform {
     /// must be called before the transform is used
     void init(int seed);
 
-    // intializes with an arbitrary seed
+    // initializes with an arbitrary seed
     void train(idx_t n, const float* x) override;
 
     RandomRotationMatrix() {}

diff --git a/faiss/impl/LocalSearchQuantizer.cpp b/faiss/impl/LocalSearchQuantizer.cpp
@@ -192,7 +192,7 @@ void LocalSearchQuantizer::train(size_t n, const float* x) {
     // allocate memory for codebooks, size [M, K, d]
     codebooks.resize(M * K * d);
 
-    // randomly intialize codes
+    // randomly initialize codes
     std::mt19937 gen(random_seed);
     std::vector<int32_t> codes(n * M); // [n, M]
     random_int32(codes, 0, K - 1, gen);

diff --git a/faiss/impl/NNDescent.cpp b/faiss/impl/NNDescent.cpp
@@ -425,7 +425,7 @@ void NNDescent::search(
     // candidate pool, the K best items is the result.
     std::vector<Neighbor> retset(L + 1);
 
-    // Randomly choose L points to intialize the candidate pool
+    // Randomly choose L points to initialize the candidate pool
     std::vector<int> init_ids(L);
     std::mt19937 rng(random_seed);
 

diff --git a/faiss/impl/PolysemousTraining.cpp b/faiss/impl/PolysemousTraining.cpp
@@ -905,7 +905,7 @@ void PolysemousTraining::optimize_ranking(
         ScopeDeleter1<PermutationObjective> del(obj);
 
         if (verbose > 0) {
-            printf("   m=%d, nq=%zd, nb=%zd, intialize RankingScore "
+            printf("   m=%d, nq=%zd, nb=%zd, initialize RankingScore "
                    "in %.3f ms\n",
                    m,
                    nq,

diff --git a/faiss/impl/ProductQuantizer.h b/faiss/impl/ProductQuantizer.h
@@ -36,8 +36,8 @@ struct ProductQuantizer : Quantizer {
         Train_default,
         Train_hot_start,     ///< the centroids are already initialized
         Train_shared,        ///< share dictionary accross PQ segments
-        Train_hypercube,     ///< intialize centroids with nbits-D hypercube
-        Train_hypercube_pca, ///< intialize centroids with nbits-D hypercube
+        Train_hypercube,     ///< initialize centroids with nbits-D hypercube
+        Train_hypercube_pca, ///< initialize centroids with nbits-D hypercube
     };
     train_type_t train_type;