use cells() not cellsRef()

4 files changed, 8 insertions, 8 deletions

diff --git a/searchlib/src/vespa/searchlib/queryeval/nearest_neighbor_blueprint.cpp b/searchlib/src/vespa/searchlib/queryeval/nearest_neighbor_blueprint.cpp
index 877ed6b5094..e99e14c8d6b 100644
--- a/searchlib/src/vespa/searchlib/queryeval/nearest_neighbor_blueprint.cpp
+++ b/searchlib/src/vespa/searchlib/queryeval/nearest_neighbor_blueprint.cpp
@@ -24,7 +24,7 @@ template<typename LCT, typename RCT>
 void
 convert_cells(std::unique_ptr<DenseTensorView> &original, vespalib::eval::ValueType want_type)
 {
-    auto old_cells = original->cellsRef().typify<LCT>();
+    auto old_cells = original->cells().typify<LCT>();
     std::vector<RCT> new_cells;
     new_cells.reserve(old_cells.size());
     for (LCT value : old_cells) {
@@ -66,7 +66,7 @@ NearestNeighborBlueprint::NearestNeighborBlueprint(const queryeval::FieldSpec& f
       _found_hits(),
       _global_filter(GlobalFilter::create())
 {
-    auto lct = _query_tensor->cellsRef().type;
+    auto lct = _query_tensor->cells().type;
     auto rct = _attr_tensor.getTensorType().cell_type();
     using MyTypify = vespalib::eval::TypifyCellType;
     auto fixup_fun = vespalib::typify_invoke<2,MyTypify,ConvertCellsSelector>(lct, rct);
@@ -124,7 +124,7 @@ NearestNeighborBlueprint::perform_top_k()
         auto rhs_type = _attr_tensor.getTensorType();
         // different cell types should be converted already
         if (lhs_type == rhs_type) {
-            auto lhs = _query_tensor->cellsRef();
+            auto lhs = _query_tensor->cells();
             uint32_t k = _target_num_hits;
             if (_global_filter->has_filter()) {
                 auto filter = _global_filter->filter();
diff --git a/searchlib/src/vespa/searchlib/queryeval/nearest_neighbor_iterator.cpp b/searchlib/src/vespa/searchlib/queryeval/nearest_neighbor_iterator.cpp
index cf4e8ae2f6a..3012de7563b 100644
--- a/searchlib/src/vespa/searchlib/queryeval/nearest_neighbor_iterator.cpp
+++ b/searchlib/src/vespa/searchlib/queryeval/nearest_neighbor_iterator.cpp
@@ -37,7 +37,7 @@ public:
 
     NearestNeighborImpl(Params params_in)
         : NearestNeighborIterator(params_in),
-          _lhs(params().queryTensor.cellsRef()),
+          _lhs(params().queryTensor.cells()),
           _fieldTensor(params().tensorAttribute.getTensorType()),
           _lastScore(0.0)
     {
@@ -77,7 +77,7 @@ public:
 private:
     double computeDistance(uint32_t docId, double limit) {
         params().tensorAttribute.extract_dense_view(docId, _fieldTensor);
-        auto rhs = _fieldTensor.cellsRef();
+        auto rhs = _fieldTensor.cells();
         return params().distanceFunction->calc_with_limit(_lhs, rhs, limit);
     }
 
diff --git a/searchlib/src/vespa/searchlib/tensor/dense_tensor_attribute.cpp b/searchlib/src/vespa/searchlib/tensor/dense_tensor_attribute.cpp
index 0a34c18bae9..81c8df982b1 100644
--- a/searchlib/src/vespa/searchlib/tensor/dense_tensor_attribute.cpp
+++ b/searchlib/src/vespa/searchlib/tensor/dense_tensor_attribute.cpp
@@ -149,7 +149,7 @@ DenseTensorAttribute::prepare_set_tensor(DocId docid, const Tensor& tensor) cons
     if (_index) {
         const auto* view = dynamic_cast<const DenseTensorView*>(&tensor);
         assert(view);
-        return _index->prepare_add_document(docid, view->cellsRef(), getGenerationHandler().takeGuard());
+        return _index->prepare_add_document(docid, view->cells(), getGenerationHandler().takeGuard());
     }
     return std::unique_ptr<PrepareResult>();
 }
diff --git a/searchlib/src/vespa/searchlib/tensor/dense_tensor_store.cpp b/searchlib/src/vespa/searchlib/tensor/dense_tensor_store.cpp
index 7a020d33d5c..e250a19214c 100644
--- a/searchlib/src/vespa/searchlib/tensor/dense_tensor_store.cpp
+++ b/searchlib/src/vespa/searchlib/tensor/dense_tensor_store.cpp
@@ -166,11 +166,11 @@ template <class TensorType>
 TensorStore::EntryRef
 DenseTensorStore::setDenseTensor(const TensorType &tensor)
 {
-    size_t numCells = tensor.cellsRef().size;
+    size_t numCells = tensor.cells().size;
     assert(numCells == getNumCells());
     assert(tensor.type() == _type);
     auto raw = allocRawBuffer();
-    memcpy(raw.data, tensor.cellsRef().data, getBufSize());
+    memcpy(raw.data, tensor.cells().data, getBufSize());
     return raw.ref;
 }