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, 3 insertions, 2 deletions

diff --git a/src/backends/cl/workloads/ClFullyConnectedWorkload.cpp b/src/backends/cl/workloads/ClFullyConnectedWorkload.cpp
index 3eb53e64b4..017f4fff6b 100644
--- a/src/backends/cl/workloads/ClFullyConnectedWorkload.cpp
+++ b/src/backends/cl/workloads/ClFullyConnectedWorkload.cpp
@@ -19,7 +19,7 @@ using namespace armcomputetensorutils;
 arm_compute::Status ClFullyConnectedWorkloadValidate(const TensorInfo& input,
                                                      const TensorInfo& output,
                                                      const TensorInfo& weights,
-                                                     const TensorInfo& biases,
+                                                     const Optional<TensorInfo>& biases,
                                                      const FullyConnectedDescriptor& descriptor,
                                                      const ActivationDescriptor* activationDescriptor)
 {
@@ -31,7 +31,8 @@ arm_compute::Status ClFullyConnectedWorkloadValidate(const TensorInfo& input,
     arm_compute::TensorInfo* optionalAclBiases = nullptr;
     if (descriptor.m_BiasEnabled)
     {
-        aclBiases = BuildArmComputeTensorInfo(biases);
+        ARMNN_ASSERT(biases.has_value());
+        aclBiases = BuildArmComputeTensorInfo(biases.value());
         optionalAclBiases = &aclBiases;
     }