diff --git a/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp
index 5225bf7..f4adbab 100644
--- a/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp
+++ b/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp
@@ -34,7 +34,6 @@
 namespace functional {
 
 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;
@@ -42,54 +41,6 @@
 
 ///////////////////////// UTILITY FUNCTIONS /////////////////////////
 
-static void createPreparedModel(const sp<IDevice>& device, const V1_1::Model& model,
-                                sp<IPreparedModel>* preparedModel) {
-    ASSERT_NE(nullptr, preparedModel);
-
-    // see if service can handle model
-    bool fullySupportsModel = false;
-    Return<void> supportedOpsLaunchStatus = device->getSupportedOperations_1_1(
-        model, [&fullySupportsModel](ErrorStatus status, const hidl_vec<bool>& supported) {
-            ASSERT_EQ(ErrorStatus::NONE, status);
-            ASSERT_NE(0ul, supported.size());
-            fullySupportsModel =
-                std::all_of(supported.begin(), supported.end(), [](bool valid) { return valid; });
-        });
-    ASSERT_TRUE(supportedOpsLaunchStatus.isOk());
-
-    // launch prepare model
-    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
-    ASSERT_NE(nullptr, preparedModelCallback.get());
-    Return<ErrorStatus> prepareLaunchStatus = device->prepareModel_1_1(
-        model, ExecutionPreference::FAST_SINGLE_ANSWER, preparedModelCallback);
-    ASSERT_TRUE(prepareLaunchStatus.isOk());
-    ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
-
-    // retrieve prepared model
-    preparedModelCallback->wait();
-    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
-    *preparedModel = preparedModelCallback->getPreparedModel();
-
-    // The getSupportedOperations_1_1 call returns a list of operations that are
-    // guaranteed not to fail if prepareModel_1_1 is called, and
-    // 'fullySupportsModel' is true i.f.f. the entire model is guaranteed.
-    // If a driver has any doubt that it can prepare an operation, it must
-    // return false. So here, if a driver isn't sure if it can support an
-    // operation, but reports that it successfully prepared the model, the test
-    // can continue.
-    if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
-        ASSERT_EQ(nullptr, preparedModel->get());
-        LOG(INFO) << "NN VTS: Unable to test Request validation because vendor service cannot "
-                     "prepare model that it does not support.";
-        std::cout << "[          ]   Unable to test Request validation because vendor service "
-                     "cannot prepare model that it does not support."
-                  << std::endl;
-        return;
-    }
-    ASSERT_EQ(ErrorStatus::NONE, prepareReturnStatus);
-    ASSERT_NE(nullptr, preparedModel->get());
-}
-
 // Primary validation function. This function will take a valid request, apply a
 // mutation to it to invalidate the request, then pass it to interface calls
 // that use the request. Note that the request here is passed by value, and any
@@ -238,15 +189,8 @@
     return requests;
 }
 
-void ValidationTest::validateRequests(const V1_1::Model& model,
+void ValidationTest::validateRequests(const sp<IPreparedModel>& preparedModel,
                                       const std::vector<Request>& requests) {
-    // create IPreparedModel
-    sp<IPreparedModel> preparedModel;
-    ASSERT_NO_FATAL_FAILURE(createPreparedModel(device, model, &preparedModel));
-    if (preparedModel == nullptr) {
-        return;
-    }
-
     // validate each request
     for (const Request& request : requests) {
         removeInputTest(preparedModel, request);
diff --git a/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.cpp b/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.cpp
index 11fa693..08069f2 100644
--- a/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.cpp
+++ b/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.cpp
@@ -18,6 +18,10 @@
 
 #include "VtsHalNeuralnetworks.h"
 
+#include <android-base/logging.h>
+
+#include "Callbacks.h"
+
 namespace android {
 namespace hardware {
 namespace neuralnetworks {
@@ -25,6 +29,56 @@
 namespace vts {
 namespace functional {
 
+using ::android::hardware::neuralnetworks::V1_2::implementation::PreparedModelCallback;
+
+static void createPreparedModel(const sp<IDevice>& device, const V1_1::Model& model,
+                                sp<IPreparedModel>* preparedModel) {
+    ASSERT_NE(nullptr, preparedModel);
+
+    // see if service can handle model
+    bool fullySupportsModel = false;
+    Return<void> supportedOpsLaunchStatus = device->getSupportedOperations_1_1(
+            model, [&fullySupportsModel](ErrorStatus status, const hidl_vec<bool>& supported) {
+                ASSERT_EQ(ErrorStatus::NONE, status);
+                ASSERT_NE(0ul, supported.size());
+                fullySupportsModel = std::all_of(supported.begin(), supported.end(),
+                                                 [](bool valid) { return valid; });
+            });
+    ASSERT_TRUE(supportedOpsLaunchStatus.isOk());
+
+    // launch prepare model
+    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
+    ASSERT_NE(nullptr, preparedModelCallback.get());
+    Return<ErrorStatus> prepareLaunchStatus = device->prepareModel_1_1(
+            model, ExecutionPreference::FAST_SINGLE_ANSWER, preparedModelCallback);
+    ASSERT_TRUE(prepareLaunchStatus.isOk());
+    ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
+
+    // retrieve prepared model
+    preparedModelCallback->wait();
+    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
+    *preparedModel = preparedModelCallback->getPreparedModel();
+
+    // The getSupportedOperations_1_1 call returns a list of operations that are
+    // guaranteed not to fail if prepareModel_1_1 is called, and
+    // 'fullySupportsModel' is true i.f.f. the entire model is guaranteed.
+    // If a driver has any doubt that it can prepare an operation, it must
+    // return false. So here, if a driver isn't sure if it can support an
+    // operation, but reports that it successfully prepared the model, the test
+    // can continue.
+    if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
+        ASSERT_EQ(nullptr, preparedModel->get());
+        LOG(INFO) << "NN VTS: Unable to test Request validation because vendor service cannot "
+                     "prepare model that it does not support.";
+        std::cout << "[          ]   Unable to test Request validation because vendor service "
+                     "cannot prepare model that it does not support."
+                  << std::endl;
+        return;
+    }
+    ASSERT_EQ(ErrorStatus::NONE, prepareReturnStatus);
+    ASSERT_NE(nullptr, preparedModel->get());
+}
+
 // A class for test environment setup
 NeuralnetworksHidlEnvironment::NeuralnetworksHidlEnvironment() {}
 
@@ -68,9 +122,17 @@
     ::testing::VtsHalHidlTargetTestBase::TearDown();
 }
 
-void ValidationTest::validateEverything(const Model& model, const std::vector<Request>& request) {
+void ValidationTest::validateEverything(const Model& model, const std::vector<Request>& requests) {
     validateModel(model);
-    validateRequests(model, request);
+
+    // create IPreparedModel
+    sp<IPreparedModel> preparedModel;
+    ASSERT_NO_FATAL_FAILURE(createPreparedModel(device, model, &preparedModel));
+    if (preparedModel == nullptr) {
+        return;
+    }
+
+    validateRequests(preparedModel, requests);
 }
 
 }  // namespace functional
diff --git a/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.h b/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.h
index cea2b54..f3f587b 100644
--- a/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.h
+++ b/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.h
@@ -76,7 +76,8 @@
 
    private:
      void validateModel(const Model& model);
-     void validateRequests(const Model& model, const std::vector<Request>& request);
+     void validateRequests(const sp<IPreparedModel>& preparedModel,
+                           const std::vector<Request>& requests);
 };
 
 // Tag for the generated tests