diff --git a/include/lbann/layers/transform/upsample.hpp b/include/lbann/layers/transform/upsample.hpp
index 0c8d40c091..03dfae474f 100644
--- a/include/lbann/layers/transform/upsample.hpp
+++ b/include/lbann/layers/transform/upsample.hpp
@@ -36,7 +36,6 @@
 #include "lbann/utils/dnn_lib/upsample.hpp"
 #endif // LBANN_HAS_DNN_LIB
 #include "lbann/utils/exception.hpp"
-#include "lbann/utils/im2col.hpp"
 
 #include <utility>
 #include <vector>
@@ -261,18 +260,12 @@ class upsample_layer : public data_type_layer<TensorDataType>
   void bp_compute() override;
 
 private:
-  /// Pooling forward propagation with DNN library
+  /// Upsample forward propagation with DNN library
   void fp_compute_dnn();
 
-  /// Pooling backward propagation with DNN library
+  /// Upsample backward propagation with DNN library
   void bp_compute_dnn();
 
-  /// Pooling forward propagation with im2col
-  void fp_compute_im2col();
-
-  /// Pooling forward propagation with im2col
-  void bp_compute_im2col();
-
 #ifdef LBANN_HAS_DISTCONV
   friend class upsample_distconv_adapter<TensorDataType, T_layout, Dev>;
 
diff --git a/src/layers/transform/upsample.cpp b/src/layers/transform/upsample.cpp
index 05a9f6701a..4d6778347b 100644
--- a/src/layers/transform/upsample.cpp
+++ b/src/layers/transform/upsample.cpp
@@ -60,6 +60,7 @@ struct Builder
   }
 };
 
+#ifdef LBANN_HAS_GPU
 template <typename TensorDataType>
 struct Builder<TensorDataType, data_layout::DATA_PARALLEL, El::Device::GPU>
 {
@@ -72,6 +73,7 @@ struct Builder<TensorDataType, data_layout::DATA_PARALLEL, El::Device::GPU>
     return std::make_unique<LayerType>(std::forward<Args>(args)...);
   }
 };
+#endif // LBANN_HAS_GPU
 } // namespace
 
 template <typename TensorDataType, data_layout Layout, El::Device Device>
@@ -110,7 +112,7 @@ void upsample_layer<TensorDataType, Layout, Device>::bp_compute()
   }
 }
 
-/// Pooling forward propagation with DNN library
+/// Upsample forward propagation with DNN library
 template <typename TensorDataType, data_layout Layout, El::Device Device>
 void upsample_layer<TensorDataType, Layout, Device>::fp_compute_dnn()
 {
@@ -134,7 +136,7 @@ void upsample_layer<TensorDataType, Layout, Device>::fp_compute_dnn()
 #endif // #ifndef LBANN_HAS_DNN_LIB
 }
 
-/// Pooling backward propagation with DNN library
+/// Upsample backward propagation with DNN library
 template <typename TensorDataType, data_layout Layout, El::Device Device>
 void upsample_layer<TensorDataType, Layout, Device>::bp_compute_dnn()
 {