IVGCVSW-5418 ExecuteNetwork test for MobileBERT

 * Fix bug in stack layer which causes mobileBERT model to seg fault
when running in concurrent mode.

Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: Ib2b73ffaa5b70147b837b7c764064e530baba637

1 files changed, 4 insertions, 1 deletions

diff --git a/src/backends/reference/workloads/RefStackWorkload.cpp b/src/backends/reference/workloads/RefStackWorkload.cpp
index 31949e967e..3f7fd7bda2 100644
--- a/src/backends/reference/workloads/RefStackWorkload.cpp
+++ b/src/backends/reference/workloads/RefStackWorkload.cpp
@@ -32,6 +32,9 @@ void RefStackWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<I
 {
     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefStackWorkload_Execute");
 
+    const TensorInfo& inputInfo  = GetTensorInfo(inputs[0]);
+    const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
+
     std::vector<std::unique_ptr<Decoder<float>>> inputDecoders;
     for (unsigned int i=0; i<inputs.size(); ++i)
     {
@@ -41,7 +44,7 @@ void RefStackWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<I
     std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
                                                                        outputs[0]->Map());
 
-    Stack(m_Data, inputDecoders, *outputEncoder);
+    Stack(m_Data, inputDecoders, *outputEncoder, inputInfo, outputInfo);
 }
 
 } // namespace armnn