Add quantization coupling test

Quantization coupling test is ran only on models that contain only one
operator and at least one of its inputs has a type of
TENSOR_QUANT8_ASYMM. The test verifies that a model with all the
operands converted to TENSOR_QUANT8_ASYMM_SIGNED will produce the same
result (OK/SKIPPED/FAILED).

Bug: 137828994
Test: VtsHalNeuralNetworksV1_3TargetTest --gtest_filter="*QuantizationCouplingTest*"
Change-Id: I5a2e09b2b1bd790e7e37dde133554e516155a34d
Merged-In: I5a2e09b2b1bd790e7e37dde133554e516155a34d
(cherry picked from commit c88f4c60a8564809231cea78734396f8d79b98f3)
diff --git a/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.h b/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.h
index 45cff5b..ad6323f 100644
--- a/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.h
+++ b/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.h
@@ -57,8 +57,19 @@
 
 void PrepareModel(const sp<IDevice>& device, const Model& model, sp<IPreparedModel>* preparedModel);
 
+enum class TestKind {
+    // Runs a test model and compares the results to a golden data
+    GENERAL,
+    // Same as GENERAL but sets dimensions for the output tensors to zeros
+    DYNAMIC_SHAPE,
+    // Tests if quantized model with TENSOR_QUANT8_ASYMM produces the same result
+    // (OK/SKIPPED/FAILED) as the model with all such tensors converted to
+    // TENSOR_QUANT8_ASYMM_SIGNED.
+    QUANTIZATION_COUPLING
+};
+
 void EvaluatePreparedModel(const sp<IPreparedModel>& preparedModel,
-                           const test_helper::TestModel& testModel, bool testDynamicOutputShape);
+                           const test_helper::TestModel& testModel, TestKind testKind);
 
 }  // namespace android::hardware::neuralnetworks::V1_3::vts::functional