diff --git a/cpp/src/community/ecg_impl.cuh b/cpp/src/community/ecg_impl.cuh
index c325dbac4b1..0d2aa2bf005 100644
--- a/cpp/src/community/ecg_impl.cuh
+++ b/cpp/src/community/ecg_impl.cuh
@@ -50,20 +50,6 @@ std::tuple<rmm::device_uvector<vertex_t>, size_t, weight_t> ecg(
       threshold,
       resolution);
 
-    // std::tie(std::ignore, modularity) = cugraph::leiden(handle,
-    //                                                     rng_state,
-    //                                                     graph_view,
-    //                                                     edge_weight_view,
-    //                                                     cluster_assignments.data(),
-    //                                                     size_t{1},
-    //                                                     resolution,
-    //                                                     theta);
-
-    RAFT_CUDA_TRY(cudaDeviceSynchronize());
-    raft::print_device_vector(
-      "\tcluster_assignments:", cluster_assignments.data(), cluster_assignments.size(), std::cout);
-    std::cout << "\tmodularity: " << modularity << std::endl;
-
     cugraph::update_edge_src_property(
       handle, graph_view, cluster_assignments.begin(), src_cluster_assignments);
     cugraph::update_edge_dst_property(
@@ -76,45 +62,9 @@ std::tuple<rmm::device_uvector<vertex_t>, size_t, weight_t> ecg(
       dst_cluster_assignments.view(),
       modified_edge_weights.view(),
       [] __device__(auto src, auto dst, auto src_property, auto dst_property, auto edge_property) {
-        printf("\n\t src %d dst %d sc %f  dc %f  mew %f\n",
-               static_cast<int>(src),
-               static_cast<int>(dst),
-               static_cast<float>(src_property),
-               static_cast<float>(dst_property),
-               static_cast<float>(edge_property));
         return edge_property + (src_property == dst_property);
       },
       modified_edge_weights.mutable_view());
-
-    for (size_t ep_idx = 0; ep_idx < graph_view.number_of_local_edge_partitions(); ++ep_idx) {
-      // // Toplogy
-      // auto edge_partition = graph_view.local_edge_partition_view(ep_idx);
-
-      // RAFT_CUDA_TRY(cudaDeviceSynchronize());
-      // std::cout << "rank: " << r << ", #edges = " << edge_partition.number_of_edges()
-      //           << std::endl;
-
-      // auto number_of_edges = edge_partition.number_of_edges();
-      // auto offsets         = edge_partition.offsets();
-      // auto indices         = edge_partition.indices();
-
-      // RAFT_CUDA_TRY(cudaDeviceSynchronize());
-      // raft::print_device_vector("offsets:", offsets.begin(), offsets.size(), std::cout);
-      // RAFT_CUDA_TRY(cudaDeviceSynchronize());
-      // raft::print_device_vector("indices:", indices.begin(), indices.size(), std::cout);
-
-      // Edge property values
-      {
-        auto value_firsts = modified_edge_weights.view().value_firsts();
-        auto edge_counts  = modified_edge_weights.view().edge_counts();
-
-        // assert(number_of_edges == edge_counts[ep_idx]);
-
-        RAFT_CUDA_TRY(cudaDeviceSynchronize());
-        raft::print_device_vector(
-          "\tmodified weights:", value_firsts[ep_idx], edge_counts[ep_idx], std::cout);
-      }
-    }
   }
 
   cugraph::transform_e(
@@ -127,13 +77,6 @@ std::tuple<rmm::device_uvector<vertex_t>, size_t, weight_t> ecg(
       auto src, auto dst, thrust::nullopt_t, thrust::nullopt_t, auto edge_properties) {
       auto e_weight    = thrust::get<0>(edge_properties);
       auto e_frequency = thrust::get<1>(edge_properties);
-
-      printf("\n\t src %d dst %d e_weight %f e_freq %f\n",
-             static_cast<int>(src),
-             static_cast<int>(dst),
-             static_cast<float>(e_weight),
-             static_cast<float>(e_frequency));
-
       return min_weight + (e_weight - min_weight) * e_frequency / ensemble_size;
     },
     modified_edge_weights.mutable_view());
@@ -149,23 +92,6 @@ std::tuple<rmm::device_uvector<vertex_t>, size_t, weight_t> ecg(
                      threshold,
                      resolution);
 
-  // cugraph::leiden(handle,
-  //                 rng_state,
-  //                 graph_view,
-  //                 std::make_optional(modified_edge_weights.view()),
-  //                 cluster_assignments.data(),
-  //                 max_level,
-  //                 resolution,
-  //                 theta);
-
-  RAFT_CUDA_TRY(cudaDeviceSynchronize());
-
-  std::cout << "\tfinal modularity: " << modularity << std::endl;
-  raft::print_device_vector("\tfinal cluster_assignments:",
-                            cluster_assignments.data(),
-                            cluster_assignments.size(),
-                            std::cout);
-
   return std::make_tuple(std::move(cluster_assignments), max_level, modularity);
 }