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/RefInstanceNormalizationWorkload.cpp    | 19 +++++++++++++++----
 1 file changed, 15 insertions(+), 4 deletions(-)

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

diff --git a/src/backends/reference/workloads/RefInstanceNormalizationWorkload.cpp b/src/backends/reference/workloads/RefInstanceNormalizationWorkload.cpp
index 150f0cb017..daee97ae3e 100644
--- a/src/backends/reference/workloads/RefInstanceNormalizationWorkload.cpp
+++ b/src/backends/reference/workloads/RefInstanceNormalizationWorkload.cpp
@@ -19,13 +19,24 @@ RefInstanceNormalizationWorkload::RefInstanceNormalizationWorkload(
     : BaseWorkload<InstanceNormalizationQueueDescriptor>(descriptor, info) {}
 
 void RefInstanceNormalizationWorkload::Execute() const
+{
+    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefInstanceNormalizationWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+    Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefInstanceNormalizationWorkload::Execute(std::vector<ITensorHandle*> inputs,
+                                               std::vector<ITensorHandle*> outputs) const
 {
     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefInstanceNormalizationWorkload_Execute");
 
-    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());
 
     InstanceNorm(m_Data, *inputDecoder, *outputEncoder);
 }
-- 
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