diff --git a/neuralnetworks/1.2/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.2/vts/functional/GeneratedTestHarness.cpp
index 2beec98..aacb385 100644
--- a/neuralnetworks/1.2/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.2/vts/functional/GeneratedTestHarness.cpp
@@ -33,6 +33,7 @@
 
 #include <gtest/gtest.h>
 #include <algorithm>
+#include <chrono>
 #include <iostream>
 #include <numeric>
 
@@ -190,7 +191,8 @@
 }
 static std::shared_ptr<::android::nn::ExecutionBurstController> CreateBurst(
         const sp<IPreparedModel>& preparedModel) {
-    return android::nn::ExecutionBurstController::create(preparedModel, /*blocking=*/true);
+    return android::nn::ExecutionBurstController::create(preparedModel,
+                                                         std::chrono::microseconds{0});
 }
 enum class Executor { ASYNC, SYNC, BURST };
 
@@ -254,8 +256,10 @@
             }
 
             // execute burst
-            std::tie(executionStatus, outputShapes, timing) =
+            int n;
+            std::tie(n, outputShapes, timing, std::ignore) =
                     controller->compute(request, measure, keys);
+            executionStatus = nn::convertResultCodeToErrorStatus(n);
 
             break;
         }
diff --git a/neuralnetworks/1.2/vts/functional/ValidateBurst.cpp b/neuralnetworks/1.2/vts/functional/ValidateBurst.cpp
index 1d4493d..416744f 100644
--- a/neuralnetworks/1.2/vts/functional/ValidateBurst.cpp
+++ b/neuralnetworks/1.2/vts/functional/ValidateBurst.cpp
@@ -26,6 +26,7 @@
 #include "Utils.h"
 
 #include <android-base/logging.h>
+#include <chrono>
 #include <cstring>
 
 namespace android::hardware::neuralnetworks::V1_2::vts::functional {
@@ -64,9 +65,9 @@
 
     // create FMQ objects
     auto [fmqRequestChannel, fmqRequestDescriptor] =
-            RequestChannelSender::create(kExecutionBurstChannelLength, /*blocking=*/true);
+            RequestChannelSender::create(kExecutionBurstChannelLength);
     auto [fmqResultChannel, fmqResultDescriptor] =
-            ResultChannelReceiver::create(resultChannelLength, /*blocking=*/true);
+            ResultChannelReceiver::create(resultChannelLength, std::chrono::microseconds{0});
     ASSERT_NE(nullptr, fmqRequestChannel.get());
     ASSERT_NE(nullptr, fmqResultChannel.get());
     ASSERT_NE(nullptr, fmqRequestDescriptor);
@@ -293,8 +294,10 @@
     }
 
     // collect serialized result by running regular burst
-    const auto [statusRegular, outputShapesRegular, timingRegular] =
+    const auto [nRegular, outputShapesRegular, timingRegular, fallbackRegular] =
             controllerRegular->compute(request, MeasureTiming::NO, keys);
+    const ErrorStatus statusRegular = nn::convertResultCodeToErrorStatus(nRegular);
+    EXPECT_FALSE(fallbackRegular);
 
     // skip test if regular burst output isn't useful for testing a failure
     // caused by having too small of a length for the result FMQ
@@ -307,11 +310,13 @@
 
     // by this point, execution should fail because the result channel isn't
     // large enough to return the serialized result
-    const auto [statusSmall, outputShapesSmall, timingSmall] =
+    const auto [nSmall, outputShapesSmall, timingSmall, fallbackSmall] =
             controllerSmall->compute(request, MeasureTiming::NO, keys);
+    const ErrorStatus statusSmall = nn::convertResultCodeToErrorStatus(nSmall);
     EXPECT_NE(ErrorStatus::NONE, statusSmall);
     EXPECT_EQ(0u, outputShapesSmall.size());
     EXPECT_TRUE(badTiming(timingSmall));
+    EXPECT_FALSE(fallbackSmall);
 }
 
 static bool isSanitized(const FmqResultDatum& datum) {
diff --git a/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp
index f25ee62..2d83b81 100644
--- a/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp
+++ b/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp
@@ -16,6 +16,7 @@
 
 #define LOG_TAG "neuralnetworks_hidl_hal_test"
 
+#include <chrono>
 #include "1.0/Utils.h"
 #include "1.2/Callbacks.h"
 #include "ExecutionBurstController.h"
@@ -94,7 +95,8 @@
 
         // create burst
         std::shared_ptr<::android::nn::ExecutionBurstController> burst =
-                android::nn::ExecutionBurstController::create(preparedModel, /*blocking=*/true);
+                android::nn::ExecutionBurstController::create(preparedModel,
+                                                              std::chrono::microseconds{0});
         ASSERT_NE(nullptr, burst.get());
 
         // create memory keys
@@ -104,13 +106,12 @@
         }
 
         // execute and verify
-        ErrorStatus error;
-        std::vector<OutputShape> outputShapes;
-        Timing timing;
-        std::tie(error, outputShapes, timing) = burst->compute(request, measure, keys);
-        EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, error);
+        const auto [n, outputShapes, timing, fallback] = burst->compute(request, measure, keys);
+        const ErrorStatus status = nn::convertResultCodeToErrorStatus(n);
+        EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, status);
         EXPECT_EQ(outputShapes.size(), 0);
         EXPECT_TRUE(badTiming(timing));
+        EXPECT_FALSE(fallback);
 
         // additional burst testing
         if (request.pools.size() > 0) {
diff --git a/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
index 16a7d70..8a7ed24 100644
--- a/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
@@ -36,6 +36,7 @@
 
 #include <gtest/gtest.h>
 #include <algorithm>
+#include <chrono>
 #include <iostream>
 #include <numeric>
 
@@ -200,7 +201,8 @@
 }
 static std::shared_ptr<::android::nn::ExecutionBurstController> CreateBurst(
         const sp<IPreparedModel>& preparedModel) {
-    return android::nn::ExecutionBurstController::create(preparedModel, /*blocking=*/true);
+    return android::nn::ExecutionBurstController::create(preparedModel,
+                                                         std::chrono::microseconds{0});
 }
 enum class Executor { ASYNC, SYNC, BURST };
 
@@ -264,8 +266,10 @@
             }
 
             // execute burst
-            std::tie(executionStatus, outputShapes, timing) =
+            int n;
+            std::tie(n, outputShapes, timing, std::ignore) =
                     controller->compute(request, measure, keys);
+            executionStatus = nn::convertResultCodeToErrorStatus(n);
 
             break;
         }
diff --git a/neuralnetworks/1.3/vts/functional/ValidateBurst.cpp b/neuralnetworks/1.3/vts/functional/ValidateBurst.cpp
index 95f9f42..2c97294 100644
--- a/neuralnetworks/1.3/vts/functional/ValidateBurst.cpp
+++ b/neuralnetworks/1.3/vts/functional/ValidateBurst.cpp
@@ -26,6 +26,7 @@
 #include "Utils.h"
 
 #include <android-base/logging.h>
+#include <chrono>
 #include <cstring>
 
 namespace android::hardware::neuralnetworks::V1_3::vts::functional {
@@ -71,9 +72,9 @@
 
     // create FMQ objects
     auto [fmqRequestChannel, fmqRequestDescriptor] =
-            RequestChannelSender::create(kExecutionBurstChannelLength, /*blocking=*/true);
+            RequestChannelSender::create(kExecutionBurstChannelLength);
     auto [fmqResultChannel, fmqResultDescriptor] =
-            ResultChannelReceiver::create(resultChannelLength, /*blocking=*/true);
+            ResultChannelReceiver::create(resultChannelLength, std::chrono::microseconds{0});
     ASSERT_NE(nullptr, fmqRequestChannel.get());
     ASSERT_NE(nullptr, fmqResultChannel.get());
     ASSERT_NE(nullptr, fmqRequestDescriptor);
@@ -300,8 +301,10 @@
     }
 
     // collect serialized result by running regular burst
-    const auto [statusRegular, outputShapesRegular, timingRegular] =
+    const auto [nRegular, outputShapesRegular, timingRegular, fallbackRegular] =
             controllerRegular->compute(request, MeasureTiming::NO, keys);
+    const ErrorStatus statusRegular = nn::convertResultCodeToErrorStatus(nRegular);
+    EXPECT_FALSE(fallbackRegular);
 
     // skip test if regular burst output isn't useful for testing a failure
     // caused by having too small of a length for the result FMQ
@@ -314,11 +317,13 @@
 
     // by this point, execution should fail because the result channel isn't
     // large enough to return the serialized result
-    const auto [statusSmall, outputShapesSmall, timingSmall] =
+    const auto [nSmall, outputShapesSmall, timingSmall, fallbackSmall] =
             controllerSmall->compute(request, MeasureTiming::NO, keys);
+    const ErrorStatus statusSmall = nn::convertResultCodeToErrorStatus(nSmall);
     EXPECT_NE(ErrorStatus::NONE, statusSmall);
     EXPECT_EQ(0u, outputShapesSmall.size());
     EXPECT_TRUE(badTiming(timingSmall));
+    EXPECT_FALSE(fallbackSmall);
 }
 
 static bool isSanitized(const FmqResultDatum& datum) {
diff --git a/neuralnetworks/1.3/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.3/vts/functional/ValidateRequest.cpp
index 6122123..c00512c 100644
--- a/neuralnetworks/1.3/vts/functional/ValidateRequest.cpp
+++ b/neuralnetworks/1.3/vts/functional/ValidateRequest.cpp
@@ -16,6 +16,7 @@
 
 #define LOG_TAG "neuralnetworks_hidl_hal_test"
 
+#include <chrono>
 #include "1.0/Utils.h"
 #include "1.2/Callbacks.h"
 #include "ExecutionBurstController.h"
@@ -98,7 +99,8 @@
 
         // create burst
         std::shared_ptr<::android::nn::ExecutionBurstController> burst =
-                android::nn::ExecutionBurstController::create(preparedModel, /*blocking=*/true);
+                android::nn::ExecutionBurstController::create(preparedModel,
+                                                              std::chrono::microseconds{0});
         ASSERT_NE(nullptr, burst.get());
 
         // create memory keys
@@ -108,13 +110,12 @@
         }
 
         // execute and verify
-        ErrorStatus error;
-        std::vector<OutputShape> outputShapes;
-        Timing timing;
-        std::tie(error, outputShapes, timing) = burst->compute(request, measure, keys);
-        EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, error);
+        const auto [n, outputShapes, timing, fallback] = burst->compute(request, measure, keys);
+        const ErrorStatus status = nn::convertResultCodeToErrorStatus(n);
+        EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, status);
         EXPECT_EQ(outputShapes.size(), 0);
         EXPECT_TRUE(badTiming(timing));
+        EXPECT_FALSE(fallback);
 
         // additional burst testing
         if (request.pools.size() > 0) {