diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
index 5c3b8a7..23e336a 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
@@ -28,7 +28,6 @@
 #include <nnapi/hal/1.0/Conversions.h>
 #include <nnapi/hal/1.1/Conversions.h>
 #include <nnapi/hal/1.1/Utils.h>
-#include <nnapi/hal/HandleError.h>
 
 #include <limits>
 
diff --git a/neuralnetworks/1.2/utils/src/Callbacks.cpp b/neuralnetworks/1.2/utils/src/Callbacks.cpp
index c855b17..cb61f21 100644
--- a/neuralnetworks/1.2/utils/src/Callbacks.cpp
+++ b/neuralnetworks/1.2/utils/src/Callbacks.cpp
@@ -29,10 +29,10 @@
 #include <nnapi/Types.h>
 #include <nnapi/hal/1.0/Callbacks.h>
 #include <nnapi/hal/1.0/Conversions.h>
+#include <nnapi/hal/1.0/HandleError.h>
 #include <nnapi/hal/1.0/PreparedModel.h>
 #include <nnapi/hal/1.0/ProtectCallback.h>
 #include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/HandleError.h>
 #include <nnapi/hal/TransferValue.h>
 
 #include <utility>
@@ -62,7 +62,7 @@
 
 nn::GeneralResult<nn::SharedPreparedModel> prepareModelCallback(
         V1_0::ErrorStatus status, const sp<IPreparedModel>& preparedModel) {
-    HANDLE_HAL_STATUS(status) << "model preparation failed with " << toString(status);
+    HANDLE_STATUS_HIDL(status) << "model preparation failed with " << toString(status);
     return NN_TRY(PreparedModel::create(preparedModel, /*executeSynchronously=*/true));
 }
 
@@ -74,7 +74,7 @@
         return NN_ERROR(nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE, std::move(canonicalOutputShapes))
                << "execution failed with " << toString(status);
     }
-    HANDLE_HAL_STATUS(status) << "execution failed with " << toString(status);
+    HANDLE_STATUS_HIDL(status) << "execution failed with " << toString(status);
     return convertExecutionGeneralResultsHelper(outputShapes, timing);
 }
 
diff --git a/neuralnetworks/1.2/utils/src/Conversions.cpp b/neuralnetworks/1.2/utils/src/Conversions.cpp
index ef5056b..838d9c4 100644
--- a/neuralnetworks/1.2/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.2/utils/src/Conversions.cpp
@@ -28,7 +28,6 @@
 #include <nnapi/hal/1.0/Conversions.h>
 #include <nnapi/hal/1.1/Conversions.h>
 #include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/HandleError.h>
 
 #include <algorithm>
 #include <functional>
diff --git a/neuralnetworks/1.2/utils/src/Device.cpp b/neuralnetworks/1.2/utils/src/Device.cpp
index 42c2a61..f12669a 100644
--- a/neuralnetworks/1.2/utils/src/Device.cpp
+++ b/neuralnetworks/1.2/utils/src/Device.cpp
@@ -30,10 +30,10 @@
 #include <nnapi/OperandTypes.h>
 #include <nnapi/Result.h>
 #include <nnapi/Types.h>
+#include <nnapi/hal/1.0/HandleError.h>
 #include <nnapi/hal/1.0/ProtectCallback.h>
 #include <nnapi/hal/1.1/Conversions.h>
 #include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/HandleError.h>
 
 #include <functional>
 #include <memory>
@@ -49,31 +49,31 @@
 
 nn::GeneralResult<nn::Capabilities> capabilitiesCallback(V1_0::ErrorStatus status,
                                                          const Capabilities& capabilities) {
-    HANDLE_HAL_STATUS(status) << "getting capabilities failed with " << toString(status);
+    HANDLE_STATUS_HIDL(status) << "getting capabilities failed with " << toString(status);
     return nn::convert(capabilities);
 }
 
 nn::GeneralResult<std::string> versionStringCallback(V1_0::ErrorStatus status,
                                                      const hidl_string& versionString) {
-    HANDLE_HAL_STATUS(status) << "getVersionString failed with " << toString(status);
+    HANDLE_STATUS_HIDL(status) << "getVersionString failed with " << toString(status);
     return versionString;
 }
 
 nn::GeneralResult<nn::DeviceType> deviceTypeCallback(V1_0::ErrorStatus status,
                                                      DeviceType deviceType) {
-    HANDLE_HAL_STATUS(status) << "getDeviceType failed with " << toString(status);
+    HANDLE_STATUS_HIDL(status) << "getDeviceType failed with " << toString(status);
     return nn::convert(deviceType);
 }
 
 nn::GeneralResult<std::vector<nn::Extension>> supportedExtensionsCallback(
         V1_0::ErrorStatus status, const hidl_vec<Extension>& extensions) {
-    HANDLE_HAL_STATUS(status) << "getExtensions failed with " << toString(status);
+    HANDLE_STATUS_HIDL(status) << "getExtensions failed with " << toString(status);
     return nn::convert(extensions);
 }
 
 nn::GeneralResult<std::pair<uint32_t, uint32_t>> numberOfCacheFilesNeededCallback(
         V1_0::ErrorStatus status, uint32_t numModelCache, uint32_t numDataCache) {
-    HANDLE_HAL_STATUS(status) << "getNumberOfCacheFilesNeeded failed with " << toString(status);
+    HANDLE_STATUS_HIDL(status) << "getNumberOfCacheFilesNeeded failed with " << toString(status);
     if (numModelCache > nn::kMaxNumberOfCacheFiles) {
         return NN_ERROR() << "getNumberOfCacheFilesNeeded returned numModelCache files greater "
                              "than allowed max ("
@@ -254,7 +254,7 @@
     const auto ret = kDevice->prepareModel_1_2(hidlModel, hidlPreference, hidlModelCache,
                                                hidlDataCache, hidlToken, cb);
     const auto status = HANDLE_TRANSPORT_FAILURE(ret);
-    HANDLE_HAL_STATUS(status) << "model preparation failed with " << toString(status);
+    HANDLE_STATUS_HIDL(status) << "model preparation failed with " << toString(status);
 
     return cb->get();
 }
@@ -271,7 +271,7 @@
 
     const auto ret = kDevice->prepareModelFromCache(hidlModelCache, hidlDataCache, hidlToken, cb);
     const auto status = HANDLE_TRANSPORT_FAILURE(ret);
-    HANDLE_HAL_STATUS(status) << "model preparation from cache failed with " << toString(status);
+    HANDLE_STATUS_HIDL(status) << "model preparation from cache failed with " << toString(status);
 
     return cb->get();
 }
diff --git a/neuralnetworks/1.2/utils/src/Execution.cpp b/neuralnetworks/1.2/utils/src/Execution.cpp
index 18d1c90..320b0e1 100644
--- a/neuralnetworks/1.2/utils/src/Execution.cpp
+++ b/neuralnetworks/1.2/utils/src/Execution.cpp
@@ -29,7 +29,6 @@
 #include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
 #include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/HandleError.h>
 
 #include <memory>
 #include <utility>
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp b/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
index 98a75fa..a8ded9e 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
+++ b/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
@@ -28,9 +28,9 @@
 #include <nnapi/Types.h>
 #include <nnapi/Validation.h>
 #include <nnapi/hal/1.0/Conversions.h>
+#include <nnapi/hal/1.0/HandleError.h>
 #include <nnapi/hal/1.0/ProtectCallback.h>
 #include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/HandleError.h>
 #include <nnapi/hal/TransferValue.h>
 
 #include <algorithm>
@@ -82,8 +82,8 @@
 
 nn::GeneralResult<sp<IBurstContext>> executionBurstResultCallback(
         V1_0::ErrorStatus status, const sp<IBurstContext>& burstContext) {
-    HANDLE_HAL_STATUS(status) << "IPreparedModel::configureExecutionBurst failed with status "
-                              << toString(status);
+    HANDLE_STATUS_HIDL(status) << "IPreparedModel::configureExecutionBurst failed with status "
+                               << toString(status);
     if (burstContext == nullptr) {
         return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
                << "IPreparedModel::configureExecutionBurst returned nullptr for burst";
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp b/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
index 52cabd8..f30b662 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
+++ b/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
@@ -27,8 +27,8 @@
 #include <nnapi/Types.h>
 #include <nnapi/Validation.h>
 #include <nnapi/hal/1.0/Conversions.h>
+#include <nnapi/hal/1.0/HandleError.h>
 #include <nnapi/hal/1.0/ProtectCallback.h>
-#include <nnapi/hal/HandleError.h>
 #include <nnapi/hal/TransferValue.h>
 
 #include <algorithm>
@@ -50,7 +50,7 @@
 
 nn::GeneralResult<std::vector<nn::SharedMemory>> getMemoriesCallback(
         V1_0::ErrorStatus status, const hidl_vec<hidl_memory>& memories) {
-    HANDLE_HAL_STATUS(status) << "getting burst memories failed with " << toString(status);
+    HANDLE_STATUS_HIDL(status) << "getting burst memories failed with " << toString(status);
     std::vector<nn::SharedMemory> canonicalMemories;
     canonicalMemories.reserve(memories.size());
     for (const auto& memory : memories) {
diff --git a/neuralnetworks/1.2/utils/src/PreparedModel.cpp b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
index d11cdc2..b8a5ae0 100644
--- a/neuralnetworks/1.2/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
@@ -31,9 +31,9 @@
 #include <nnapi/Result.h>
 #include <nnapi/Types.h>
 #include <nnapi/hal/1.0/Conversions.h>
+#include <nnapi/hal/1.0/HandleError.h>
 #include <nnapi/hal/1.0/ProtectCallback.h>
 #include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/HandleError.h>
 
 #include <chrono>
 #include <memory>
@@ -82,7 +82,7 @@
     const auto ret = kPreparedModel->execute_1_2(request, measure, cb);
     const auto status = HANDLE_TRANSPORT_FAILURE(ret);
     if (status != V1_0::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE) {
-        HANDLE_HAL_STATUS(status) << "execution failed with " << toString(status);
+        HANDLE_STATUS_HIDL(status) << "execution failed with " << toString(status);
     }
 
     return cb->get();