kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt

@@ -186,7 +186,9 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A : Ring<T>> internal con
     }
 
     override fun StructureND<T>.dot(other: StructureND<T>): TensorFlowOutput<T, TT> = biOp(other) { l, r ->
-        ops.linalg.matMul(l, r)
+        ops.linalg.matMul(
+            if (l.asTensor().shape().numDimensions() == 1) ops.expandDims(l,ops.constant(0)) else l,
+            if (r.asTensor().shape().numDimensions() == 1) ops.expandDims(r,ops.constant(-1)) else r)
     }
 
     override fun diagonalEmbedding(

kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt

@@ -208,7 +208,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      *
      * 3. If the first argument is 1-dimensional and the second argument is 2-dimensional,
      * a 1 is prepended to its dimension for the purpose of the matrix multiply.
-     * After the matrix multiply, the prepended dimension is removed.
+     * After the matrix multiply, depending on the implementation the prepended dimension might be removed.
      *
      * 4. If the first argument is 2-dimensional and the second argument is 1-dimensional,
      * the matrix-vector product is returned.