diff --git a/neuralnetworks/1.0/vts/functional/Callbacks.cpp b/neuralnetworks/1.0/vts/functional/Callbacks.cpp
index 46bf243..a1c5a1a 100644
--- a/neuralnetworks/1.0/vts/functional/Callbacks.cpp
+++ b/neuralnetworks/1.0/vts/functional/Callbacks.cpp
@@ -1,10 +1,26 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
 #include "Callbacks.h"
 #include <android-base/logging.h>
 
 namespace android {
 namespace hardware {
 namespace neuralnetworks {
-namespace V1_0 {
+namespace V1_2 {
 namespace implementation {
 
 CallbackBase::CallbackBase() : mNotified(false) {}
@@ -88,7 +104,15 @@
 PreparedModelCallback::~PreparedModelCallback() {}
 
 Return<void> PreparedModelCallback::notify(ErrorStatus errorStatus,
-                                           const sp<IPreparedModel>& preparedModel) {
+                                           const sp<V1_0::IPreparedModel>& preparedModel) {
+    mErrorStatus = errorStatus;
+    mPreparedModel = preparedModel;
+    CallbackBase::notify();
+    return Void();
+}
+
+Return<void> PreparedModelCallback::notify_1_2(ErrorStatus errorStatus,
+                                               const sp<V1_2::IPreparedModel>& preparedModel) {
     mErrorStatus = errorStatus;
     mPreparedModel = preparedModel;
     CallbackBase::notify();
@@ -100,7 +124,7 @@
     return mErrorStatus;
 }
 
-sp<IPreparedModel> PreparedModelCallback::getPreparedModel() {
+sp<V1_0::IPreparedModel> PreparedModelCallback::getPreparedModel() {
     wait();
     return mPreparedModel;
 }
@@ -115,13 +139,19 @@
     return Void();
 }
 
+Return<void> ExecutionCallback::notify_1_2(ErrorStatus errorStatus) {
+    mErrorStatus = errorStatus;
+    CallbackBase::notify();
+    return Void();
+}
+
 ErrorStatus ExecutionCallback::getStatus() {
     wait();
     return mErrorStatus;
 }
 
 }  // namespace implementation
-}  // namespace V1_0
+}  // namespace V1_2
 }  // namespace neuralnetworks
 }  // namespace hardware
 }  // namespace android
diff --git a/neuralnetworks/1.0/vts/functional/Callbacks.h b/neuralnetworks/1.0/vts/functional/Callbacks.h
index 570a4fb..e89980d 100644
--- a/neuralnetworks/1.0/vts/functional/Callbacks.h
+++ b/neuralnetworks/1.0/vts/functional/Callbacks.h
@@ -1,22 +1,42 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
 #ifndef ANDROID_HARDWARE_NEURALNETWORKS_V1_0_CALLBACKS_H
 #define ANDROID_HARDWARE_NEURALNETWORKS_V1_0_CALLBACKS_H
 
 #include <android/hardware/neuralnetworks/1.0/IExecutionCallback.h>
 #include <android/hardware/neuralnetworks/1.0/IPreparedModelCallback.h>
+#include <android/hardware/neuralnetworks/1.2/IExecutionCallback.h>
+#include <android/hardware/neuralnetworks/1.2/IPreparedModelCallback.h>
+#include <hidl/MQDescriptor.h>
+#include <hidl/Status.h>
 #include <chrono>
 #include <condition_variable>
 #include <functional>
-#include <hidl/MQDescriptor.h>
-#include <hidl/Status.h>
 #include <mutex>
 #include <thread>
 
 namespace android {
 namespace hardware {
 namespace neuralnetworks {
-namespace V1_0 {
+namespace V1_2 {
 namespace implementation {
 
+using V1_0::ErrorStatus;
+
 /**
  * The CallbackBase class is used internally by the NeuralNetworks runtime to
  * synchronize between different threads. An asynchronous task is launched
@@ -156,11 +176,11 @@
  * asynchronously with respect to the runtime. If a calling thread calls wait*
  * or get* on a PreparedModelCallback object and the corresponding asynchronous
  * task has not finished preparing the model, the calling thread will block
- * until the asynchronous task has called notify. For more information on the
- * synchronization behavior, refer to the CallbackBase class.
+ * until the asynchronous task has either called notify or notify_1_2. For more
+ * information on the synchronization behavior, refer to the CallbackBase class.
  *
  * This class inherits the basic blocking and signaling calls from
- * CallbackBase, and implements the HIDL notify call from
+ * CallbackBase, and implements the HIDL notify and notify_1_2 calls from
  * IPreparedModelCallback. This callback object is passed as an argument to
  * IDevice::prepareModel.
  */
@@ -170,15 +190,15 @@
     ~PreparedModelCallback() override;
 
     /**
-     * IPreparedModelCallback::notify marks the callback object with the return
-     * status of the asynchronous model preparation along with the prepared
-     * model, and calls CallbackBase::notify, enabling all prior and future
-     * wait* calls on the PreparedModelCallback object to proceed. For more
-     * information on the synchronization behavior, refer to the CallbackBase
-     * class.
+     * IPreparedModelCallback::notify and IPreparedModelCallback::notify_1_2
+     * mark the callback object with the return status of the asynchronous
+     * model preparation along with the prepared model, and call
+     * CallbackBase::notify, enabling all prior and future wait* calls on the
+     * PreparedModelCallback object to proceed. For more information on the
+     * synchronization behavior, refer to the CallbackBase class.
      *
-     * IPreparedModelCallback::notify must be called exactly once on a given
-     * PreparedModelCallback object.
+     * Either IPreparedModelCallback::notify or IPreparedModelCallback::notify_1_2
+     * must be called exactly once on a given PreparedModelCallback object.
      *
      * @param status Error status returned from asynchronously preparing the
      *               model; will be:
@@ -189,7 +209,9 @@
      * @param preparedModel Returned model that has been prepared for execution,
      *                      nullptr if the model was unable to be prepared.
      */
-    Return<void> notify(ErrorStatus status, const sp<IPreparedModel>& preparedModel) override;
+    Return<void> notify(ErrorStatus status, const sp<V1_0::IPreparedModel>& preparedModel) override;
+    Return<void> notify_1_2(ErrorStatus status,
+                            const sp<V1_2::IPreparedModel>& preparedModel) override;
 
     /**
      * Retrieves the error status returned from the asynchronous task launched
@@ -217,11 +239,11 @@
      *                       execution, nullptr if the model was unable to be
      *                       prepared.
      */
-    sp<IPreparedModel> getPreparedModel();
+    sp<V1_0::IPreparedModel> getPreparedModel();
 
- private:
+   private:
     ErrorStatus        mErrorStatus;
-    sp<IPreparedModel> mPreparedModel;
+    sp<V1_0::IPreparedModel> mPreparedModel;
 };
 
 /**
@@ -229,12 +251,12 @@
  * execution from a task executing asynchronously with respect to the runtime.
  * If a calling thread calls wait* or get* on a PreparedModelCallback object and
  * the corresponding asynchronous task has not finished the execution, the
- * calling thread will block until the asynchronous task has called notify. For
- * more information on the synchronization behavior, refer to the CallbackBase
- * class.
+ * calling thread will block until the asynchronous task has either called notify
+ * or notify_1_2. For more information on the synchronization behavior, refer to
+ * the CallbackBase class.
  *
  * This class inherits the basic blocking and signaling calls from
- * CallbackBase, and implements the HIDL notify call from
+ * CallbackBase, and implements the HIDL notify and notify_1_2 calls from
  * IExecutionCallback. This callback object is passed as an argument to
  * IPreparedModel::execute.
  */
@@ -244,14 +266,14 @@
     ~ExecutionCallback() override;
 
     /**
-     * IExecutionCallback::notify marks the callback object with the return
-     * status of the asynchronous execution that held this callback and enables
-     * all prior and future wait* calls on the ExecutionCallback object to
-     * proceed. For more information on the synchronization behavior, refer to
-     * the CallbackBase class.
+     * IExecutionCallback::notify and IExecutionCallback::notify_1_2 mark the
+     * callback object with the return status of the asynchronous execution that
+     * held this callback and enable all prior and future wait* calls on the
+     * ExecutionCallback object to proceed. For more information on the
+     * synchronization behavior, refer to the CallbackBase class.
      *
-     * IExecutionCallback::notify must be called exactly once on a given
-     * ExecutionCallback object.
+     * Either IExecutionCallback::notify or IExecutionCallback::notify_1_2 must
+     * be called exactly once on a given ExecutionCallback object.
      *
      * @param status Error status returned from asynchronously preparing the
      *               model; will be:
@@ -263,6 +285,7 @@
      *               - INVALID_ARGUMENT if the input request is invalid
      */
     Return<void> notify(ErrorStatus status) override;
+    Return<void> notify_1_2(ErrorStatus status) override;
 
     /**
      * Retrieves the error status returned from the asynchronous task launched
@@ -299,7 +322,7 @@
 }
 
 }  // namespace implementation
-}  // namespace V1_0
+}  // namespace V1_2
 }  // namespace neuralnetworks
 }  // namespace hardware
 }  // namespace android
diff --git a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
index d2703cb..ab524c2 100644
--- a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
@@ -24,6 +24,11 @@
 #include <android/hardware/neuralnetworks/1.0/IPreparedModel.h>
 #include <android/hardware/neuralnetworks/1.0/IPreparedModelCallback.h>
 #include <android/hardware/neuralnetworks/1.0/types.h>
+#include <android/hardware/neuralnetworks/1.1/IDevice.h>
+#include <android/hardware/neuralnetworks/1.2/IDevice.h>
+#include <android/hardware/neuralnetworks/1.2/IExecutionCallback.h>
+#include <android/hardware/neuralnetworks/1.2/IPreparedModel.h>
+#include <android/hardware/neuralnetworks/1.2/IPreparedModelCallback.h>
 #include <android/hidl/allocator/1.0/IAllocator.h>
 #include <android/hidl/memory/1.0/IMemory.h>
 #include <hidlmemory/mapping.h>
@@ -34,8 +39,8 @@
 namespace neuralnetworks {
 
 namespace generated_tests {
-using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
-using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+using ::android::hardware::neuralnetworks::V1_2::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_2::implementation::PreparedModelCallback;
 using ::test_helper::bool8;
 using ::test_helper::compare;
 using ::test_helper::expectMultinomialDistributionWithinTolerance;
@@ -73,7 +78,18 @@
 
 // Top level driver for models and examples generated by test_generator.py
 // Test driver for those generated from ml/nn/runtime/test/spec
-void EvaluatePreparedModel(sp<IPreparedModel>& preparedModel, std::function<bool(int)> is_ignored,
+static Return<ErrorStatus> ExecutePreparedModel(sp<V1_0::IPreparedModel>& preparedModel,
+                                                const Request& request,
+                                                sp<ExecutionCallback>& callback) {
+    return preparedModel->execute(request, callback);
+}
+static Return<ErrorStatus> ExecutePreparedModel(sp<V1_2::IPreparedModel>& preparedModel,
+                                                const Request& request,
+                                                sp<ExecutionCallback>& callback) {
+    return preparedModel->execute_1_2(request, callback);
+}
+template <typename T_IPreparedModel>
+void EvaluatePreparedModel(sp<T_IPreparedModel>& preparedModel, std::function<bool(int)> is_ignored,
                            const std::vector<MixedTypedExample>& examples,
                            bool hasRelaxedFloat32Model = false, float fpAtol = 1e-5f,
                            float fpRtol = 1e-5f) {
@@ -172,8 +188,9 @@
         // launch execution
         sp<ExecutionCallback> executionCallback = new ExecutionCallback();
         ASSERT_NE(nullptr, executionCallback.get());
-        Return<ErrorStatus> executionLaunchStatus = preparedModel->execute(
-            {.inputs = inputs_info, .outputs = outputs_info, .pools = pools}, executionCallback);
+        Return<ErrorStatus> executionLaunchStatus = ExecutePreparedModel(
+            preparedModel, {.inputs = inputs_info, .outputs = outputs_info, .pools = pools},
+            executionCallback);
         ASSERT_TRUE(executionLaunchStatus.isOk());
         EXPECT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(executionLaunchStatus));
 
@@ -199,6 +216,16 @@
     }
 }
 
+static void getPreparedModel(sp<PreparedModelCallback> callback,
+                             sp<V1_0::IPreparedModel>* preparedModel) {
+    *preparedModel = callback->getPreparedModel();
+}
+static void getPreparedModel(sp<PreparedModelCallback> callback,
+                             sp<V1_2::IPreparedModel>* preparedModel) {
+    sp<V1_0::IPreparedModel> preparedModelV1_0 = callback->getPreparedModel();
+    *preparedModel = V1_2::IPreparedModel::castFrom(preparedModelV1_0).withDefault(nullptr);
+}
+
 void Execute(const sp<V1_0::IDevice>& device, std::function<V1_0::Model(void)> create_model,
              std::function<bool(int)> is_ignored, const std::vector<MixedTypedExample>& examples) {
     V1_0::Model model = create_model();
@@ -224,7 +251,8 @@
     // retrieve prepared model
     preparedModelCallback->wait();
     ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
-    sp<IPreparedModel> preparedModel = preparedModelCallback->getPreparedModel();
+    sp<V1_0::IPreparedModel> preparedModel;
+    getPreparedModel(preparedModelCallback, &preparedModel);
 
     // early termination if vendor service cannot fully prepare model
     if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
@@ -270,7 +298,8 @@
     // retrieve prepared model
     preparedModelCallback->wait();
     ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
-    sp<IPreparedModel> preparedModel = preparedModelCallback->getPreparedModel();
+    sp<V1_0::IPreparedModel> preparedModel;
+    getPreparedModel(preparedModelCallback, &preparedModel);
 
     // early termination if vendor service cannot fully prepare model
     if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
@@ -316,7 +345,8 @@
     // retrieve prepared model
     preparedModelCallback->wait();
     ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
-    sp<IPreparedModel> preparedModel = preparedModelCallback->getPreparedModel();
+    sp<V1_2::IPreparedModel> preparedModel;
+    getPreparedModel(preparedModelCallback, &preparedModel);
 
     // early termination if vendor service cannot fully prepare model
     if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
diff --git a/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp
index 26b4d8b..55e5861 100644
--- a/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp
@@ -40,8 +40,8 @@
 namespace vts {
 namespace functional {
 
-using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
-using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+using ::android::hardware::neuralnetworks::V1_2::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_2::implementation::PreparedModelCallback;
 using ::android::nn::allocateSharedMemory;
 using ::test_helper::MixedTypedExample;
 
diff --git a/neuralnetworks/1.0/vts/functional/ValidateModel.cpp b/neuralnetworks/1.0/vts/functional/ValidateModel.cpp
index b813c39..5d24fb5 100644
--- a/neuralnetworks/1.0/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/1.0/vts/functional/ValidateModel.cpp
@@ -27,8 +27,8 @@
 namespace vts {
 namespace functional {
 
-using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
-using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+using ::android::hardware::neuralnetworks::V1_2::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_2::implementation::PreparedModelCallback;
 
 ///////////////////////// UTILITY FUNCTIONS /////////////////////////
 
diff --git a/neuralnetworks/1.0/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.0/vts/functional/ValidateRequest.cpp
index 1d3dee3..72a5007 100644
--- a/neuralnetworks/1.0/vts/functional/ValidateRequest.cpp
+++ b/neuralnetworks/1.0/vts/functional/ValidateRequest.cpp
@@ -33,8 +33,8 @@
 namespace vts {
 namespace functional {
 
-using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
-using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+using ::android::hardware::neuralnetworks::V1_2::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_2::implementation::PreparedModelCallback;
 using ::android::hidl::memory::V1_0::IMemory;
 using test_helper::for_all;
 using test_helper::MixedTyped;