diff --git a/gtsam/hybrid/HybridSmoother.cpp b/gtsam/hybrid/HybridSmoother.cpp
index a67777b52..7b8c3faf1 100644
--- a/gtsam/hybrid/HybridSmoother.cpp
+++ b/gtsam/hybrid/HybridSmoother.cpp
@@ -24,6 +24,16 @@
 // #define DEBUG_SMOOTHER
 namespace gtsam {
 
+/* ************************************************************************* */
+void HybridSmoother::reInitialize(HybridBayesNet &&hybridBayesNet) {
+  hybridBayesNet_ = std::move(hybridBayesNet);
+}
+
+/* ************************************************************************* */
+void HybridSmoother::reInitialize(HybridBayesNet &hybridBayesNet) {
+  this->reInitialize(std::move(hybridBayesNet));
+}
+
 /* ************************************************************************* */
 Ordering HybridSmoother::getOrdering(const HybridGaussianFactorGraph &factors,
                                      const KeySet &lastKeysToEliminate) {
@@ -78,9 +88,11 @@ void HybridSmoother::update(const HybridGaussianFactorGraph &newFactors,
   // If no ordering provided, then we compute one
   if (!given_ordering.has_value()) {
     // Get the keys from the new factors
-    KeySet continuousKeysToInclude;  // Scheme 1: empty, 15sec/2000, 64sec/3000 (69s without TF)
-    // continuousKeysToInclude = newFactors.keys();  // Scheme 2: all, 8sec/2000, 160sec/3000
-    // continuousKeysToInclude = updatedGraph.keys();  // Scheme 3: all, stopped after 80sec/2000
+    KeySet continuousKeysToInclude;  // Scheme 1: empty, 15sec/2000, 64sec/3000
+                                     // (69s without TF)
+    // continuousKeysToInclude = newFactors.keys();  // Scheme 2: all,
+    // 8sec/2000, 160sec/3000 continuousKeysToInclude = updatedGraph.keys();  //
+    // Scheme 3: all, stopped after 80sec/2000
 
     // Since updatedGraph now has all the connected conditionals,
     // we can get the correct ordering.
diff --git a/gtsam/hybrid/HybridSmoother.h b/gtsam/hybrid/HybridSmoother.h
index f8eaec26c..53d058036 100644
--- a/gtsam/hybrid/HybridSmoother.h
+++ b/gtsam/hybrid/HybridSmoother.h
@@ -49,17 +49,13 @@ class GTSAM_EXPORT HybridSmoother {
   /**
    * Re-initialize the smoother from a new hybrid Bayes Net.
    */
-  void reInitialize(HybridBayesNet&& hybridBayesNet) {
-    hybridBayesNet_ = std::move(hybridBayesNet);
-  }
+  void reInitialize(HybridBayesNet&& hybridBayesNet);
 
   /**
    * Re-initialize the smoother from
    * a new hybrid Bayes Net (non rvalue version).
    */
-  void reInitialize(HybridBayesNet& hybridBayesNet) {
-    this->reInitialize(std::move(hybridBayesNet));
-  }
+  void reInitialize(HybridBayesNet& hybridBayesNet);
 
   /**
    * Given new factors, perform an incremental update.