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/RefFakeQuantizationFloat32Workload.cpp    | 17 ++++++++++++++---
 1 file changed, 14 insertions(+), 3 deletions(-)

(limited to 'src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp')

diff --git a/src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp b/src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp
index cf355d35d2..b30811b8ed 100644
--- a/src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp
+++ b/src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp
@@ -27,13 +27,24 @@ void FakeQuantization(const float* inputData, float* outputData, uint32_t numEle
 }
 
 void RefFakeQuantizationFloat32Workload::Execute() const
+{
+    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefFakeQuantizationFloat32Workload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+    Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefFakeQuantizationFloat32Workload::Execute(std::vector<ITensorHandle*> inputs,
+                                                 std::vector<ITensorHandle*> outputs) const
 {
     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFakeQuantizationFloat32Workload_Execute");
 
-    const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
+    const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
 
-    const float* inputData = GetInputTensorDataFloat(0, m_Data);
-    float* outputData = GetOutputTensorDataFloat(0, m_Data);
+    const float* inputData = reinterpret_cast<const float*>(inputs[0]->Map());
+    float* outputData = reinterpret_cast<float*>(outputs[0]->Map());
     FakeQuantization(inputData, outputData, inputInfo.GetNumElements(),
                      m_Data.m_Parameters.m_Min,
                      m_Data.m_Parameters.m_Max);
-- 
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