Use the tensor type to switch tensor binary format

The binary format of a tensor should depend on the tensor type,
not the implementation type as the API permits the user choosing that
(and it may not be 1-1 anyway).

This makes this change for sparse tensors using the mixed implementation
type but not dense tensors using the mixed implementation type as that
would be more work given the unfinished state of the mixed implementation.

1 files changed, 1 insertions, 3 deletions

diff --git a/vespajlib/src/main/java/com/yahoo/tensor/IndexedTensor.java b/vespajlib/src/main/java/com/yahoo/tensor/IndexedTensor.java
index ad82dd6c3ac..dc17c657db9 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/IndexedTensor.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/IndexedTensor.java
@@ -178,9 +178,7 @@ public abstract class IndexedTensor implements Tensor {
     @Override
     public abstract IndexedTensor withType(TensorType type);
 
-    public DimensionSizes dimensionSizes() {
-        return dimensionSizes;
-    }
+    public DimensionSizes dimensionSizes() { return dimensionSizes; }
 
     @Override
     public Map<TensorAddress, Double> cells() {