From 67d6390c3b37c83bad2180ee4dc54893143c7b29 Mon Sep 17 00:00:00 2001 From: Matthew Bentham Date: Tue, 8 Feb 2022 15:03:07 +0000 Subject: 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 --- src/backends/cl/workloads/ClFullyConnectedWorkload.hpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'src/backends/cl/workloads/ClFullyConnectedWorkload.hpp') diff --git a/src/backends/cl/workloads/ClFullyConnectedWorkload.hpp b/src/backends/cl/workloads/ClFullyConnectedWorkload.hpp index 210757779f..3ab9f986a8 100644 --- a/src/backends/cl/workloads/ClFullyConnectedWorkload.hpp +++ b/src/backends/cl/workloads/ClFullyConnectedWorkload.hpp @@ -18,7 +18,7 @@ namespace armnn arm_compute::Status ClFullyConnectedWorkloadValidate(const TensorInfo& input, const TensorInfo& output, const TensorInfo& weights, - const TensorInfo& biases, + const Optional& biases, const FullyConnectedDescriptor& descriptor, const ActivationDescriptor* activationDescriptor = nullptr); -- cgit v1.2.1