From b8181f72b8c7c9132373dbcf7f8709ec2c0f23c0 Mon Sep 17 00:00:00 2001
From: Finn Williams <Finn.Williams@arm.com>
Date: Wed, 7 Apr 2021 10:23:21 +0100
Subject: IVGCVSW-5787 Add/Update Execute() implementations in
 RefActivationWorkload

 * Added multithreaded StridedSliceEndToEndTest

Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I4579db7b5959e0a22256f1bda00238c22e611dec
---
 .../workloads/RefBatchNormalizationWorkload.cpp       | 19 +++++++++++++++----
 1 file changed, 15 insertions(+), 4 deletions(-)

(limited to 'src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp')

diff --git a/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp b/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp
index 21fcdab5a3..e1068896ba 100644
--- a/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp
+++ b/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp
@@ -23,6 +23,17 @@ RefBatchNormalizationWorkload::RefBatchNormalizationWorkload(const BatchNormaliz
 {}
 
 void RefBatchNormalizationWorkload::Execute() const
+{
+    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefBatchNormalizationWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+    Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefBatchNormalizationWorkload::Execute(std::vector<ITensorHandle*> inputs,
+                                            std::vector<ITensorHandle*> outputs) const
 {
     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationWorkload_Execute");
 
@@ -34,10 +45,10 @@ void RefBatchNormalizationWorkload::Execute() const
                                                                          m_Gamma->Map(true));
     std::unique_ptr<Decoder<float>> betaDecoder     = MakeDecoder<float>(m_Beta->GetTensorInfo(),
                                                                          m_Beta->Map(true));
-    std::unique_ptr<Decoder<float>> inputDecoder    = MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[0]),
-                                                                         m_Data.m_Inputs[0]->Map());
-    std::unique_ptr<Encoder<float>> outputEncoder   = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]),
-                                                                         m_Data.m_Outputs[0]->Map());
+    std::unique_ptr<Decoder<float>> inputDecoder    = MakeDecoder<float>(GetTensorInfo(inputs[0]),
+                                                                         inputs[0]->Map());
+    std::unique_ptr<Encoder<float>> outputEncoder   = MakeEncoder<float>(GetTensorInfo(outputs[0]),
+                                                                         outputs[0]->Map());
 
     BatchNormImpl(m_Data, *meanDecoder, *varianceDecoder, *betaDecoder, *gammaDecoder, *inputDecoder, *outputEncoder);
 }
-- 
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