diff --git a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
index 7eea7fc..f5cb0d7 100644
--- a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
@@ -77,6 +77,13 @@
                   "Number of types in MixedTyped changed, but copy_back function wasn't updated");
 }
 
+static bool isZeroSized(const MixedTyped& example, uint32_t index) {
+    for (auto i : example.operandDimensions.at(index)) {
+        if (i == 0) return true;
+    }
+    return false;
+}
+
 // Top level driver for models and examples generated by test_generator.py
 // Test driver for those generated from ml/nn/runtime/test/spec
 static Return<ErrorStatus> ExecutePreparedModel(sp<V1_0::IPreparedModel>& preparedModel,
@@ -178,17 +185,18 @@
         // Go through all outputs, initialize RequestArgument descriptors
         resize_accordingly(golden, test);
         bool sizeLargerThanOne = true;
-        for_all(golden, [&outputs_info, &outputSize, &outputType, &sizeLargerThanOne](
+        for_all(golden, [&golden, &outputs_info, &outputSize, &outputType, &sizeLargerThanOne](
                                 int index, auto, auto s) {
             if (outputs_info.size() <= static_cast<size_t>(index)) outputs_info.resize(index + 1);
             if (index == 0) {
                 // On OutputType::INSUFFICIENT, set the output operand with index 0 with
                 // buffer size one byte less than needed.
                 if (outputType == OutputType::INSUFFICIENT) {
-                    if (s > 1)
+                    if (s > 1 && !isZeroSized(golden, index)) {
                         s -= 1;
-                    else
+                    } else {
                         sizeLargerThanOne = false;
+                    }
                 }
             }
             RequestArgument arg = {