Handle optional biases better in Neon/Cl FullyConnected workloads

Use armnn::Optional for optional bias TensorInfos, similar to how
it's already done in Convolution etc.

Fixes some test failures found using -fsanitize=undefined

Change-Id: I7b887e63e2ffab14aeab14415069be738d938ebb
Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>

1 files changed, 7 insertions, 1 deletions

diff --git a/src/backends/neon/NeonBackend.cpp b/src/backends/neon/NeonBackend.cpp
index 66547ad4df..7089f23efa 100644
--- a/src/backends/neon/NeonBackend.cpp
+++ b/src/backends/neon/NeonBackend.cpp
@@ -250,12 +250,18 @@ OptimizationViews NeonBackend::OptimizeSubgraphView(const SubgraphView& subgraph
                             else if (base.GetType() == LayerType::FullyConnected)
                             {
                                 FullyConnectedLayer* baseLayer = PolymorphicDowncast<FullyConnectedLayer*>(&base);
+                                Optional<TensorInfo> biases;
+
+                                if (baseLayer->GetParameters().m_BiasEnabled)
+                                {
+                                    biases = baseLayer->m_Bias->GetTensorInfo();
+                                }
 
                                 arm_compute::Status status = NeonFullyConnectedWorkloadValidate(
                                         baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),
                                         activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),
                                         baseLayer->m_Weight->GetTensorInfo(),
-                                        baseLayer->m_Bias->GetTensorInfo(),
+                                        biases,
                                         baseLayer->GetParameters(),
                                         &activationDesc);