diff --git a/csrc/mma_type.h b/csrc/mma_type.h
index 60bf608df4b..5fbbd1c8a99 100644
--- a/csrc/mma_type.h
+++ b/csrc/mma_type.h
@@ -33,14 +33,12 @@ enum class MatmulDomain { M = 0, N, K, Batch };
 //!  INPUT_B - a producer of MMA input B
 //!  INPUT_C - a producer of a tensor used in fusion epilogue,
 //!            for example tensor used in beta scaling fusion
-//!  OUTPUT_D - the main consumer of MMA op results
-//!  OUTPUT_AUX - fusion outputs that are consumers of OUTPUT_D
+//!  OUTPUT_D - fusion outputs that have the matmul as a dependency
 //!
 //! Naming convention is based on the following formula:
 //!    D = alpha * A x B + beta * C
-//!    AUX = relu(D)
 //!  Note: bias vector tensors will be assigned to INPUT_C role.
-enum class MatmulRole { INPUT_A = 0, INPUT_B, OUTPUT_D, INPUT_C, OUTPUT_AUX };
+enum class MatmulRole { INPUT_A = 0, INPUT_B, INPUT_C, OUTPUT_D };
 
 //! The expected number of occurances of core TensorView roles in fusion
 static constexpr size_t MATMUL_CORE_ROLES_EXPECTED_COUNT = 1;
diff --git a/csrc/scheduler/matmul_utils.cpp b/csrc/scheduler/matmul_utils.cpp
index 015937046a0..894e776b594 100644
--- a/csrc/scheduler/matmul_utils.cpp
+++ b/csrc/scheduler/matmul_utils.cpp
@@ -273,12 +273,6 @@ std::string isMatmulFusionDefinitionSupported(
       tvs_with_roles.insert(entry->second.begin(), entry->second.end());
     }
 
-    // Non-core output roles are optional, no requirements for definitions
-    entry = roles_map.find(MatmulRole::OUTPUT_AUX);
-    if (entry != roles_map.end()) {
-      tvs_with_roles.insert(entry->second.begin(), entry->second.end());
-    }
-
     const auto in_out_tvs_count =
         fusion_inputs_tvs.size() + fusion_outputs_tvs.size();
     if (in_out_tvs_count != tvs_with_roles.size()) {
diff --git a/csrc/scheduler/mma_utils.cpp b/csrc/scheduler/mma_utils.cpp
index 1b05d80bccf..e7ad546d1c7 100644
--- a/csrc/scheduler/mma_utils.cpp
+++ b/csrc/scheduler/mma_utils.cpp
@@ -1231,27 +1231,12 @@ RolesMapOpt getTensorRoles(
     }
   }
 
-  // NOTE: sort output roles in descending order by uses() size, and
-  //  if equal then by name() to ensure the stable ordering of tensor
-  //  views in collections assigned to the supported roles
-  std::sort(storage.begin(), storage.end(), [](TensorView* a, TensorView* b) {
-    return (a->uses().size() == b->uses().size())
-        ? (a->name() < b->name())
-        : (a->uses().size() > b->uses().size());
-  });
-
   if (!storage.empty()) {
-    // NOTE: currently, we pick as a reference tensor one with `m` and `n`
-    //       IterDomains and the most uses
-    auto pos = storage.begin();
-    tensor_roles[MatmulRole::OUTPUT_D].push_back(*pos);
-    for (++pos; pos != storage.end(); ++pos) {
-      tensor_roles[MatmulRole::OUTPUT_AUX].push_back(*pos);
-    }
+    tensor_roles[MatmulRole::OUTPUT_D] = storage;
   }
 
   for (auto& [role, tvs] : tensor_roles) {
-    // NOTE: sort input roles in descending order by uses() size, and
+    // NOTE: sort role tvs in descending order by uses() size, and
     //  if equal then by name() to ensure the stable ordering of tensor
     //  views in collections assigned to the supported roles
     std::sort(tvs.begin(), tvs.end(), [](TensorView* a, TensorView* b) {