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
---
 .../reference/workloads/RefSoftmaxWorkload.cpp         | 18 ++++++++++++++----
 1 file changed, 14 insertions(+), 4 deletions(-)

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

diff --git a/src/backends/reference/workloads/RefSoftmaxWorkload.cpp b/src/backends/reference/workloads/RefSoftmaxWorkload.cpp
index 2e4d811674..9733cbc859 100644
--- a/src/backends/reference/workloads/RefSoftmaxWorkload.cpp
+++ b/src/backends/reference/workloads/RefSoftmaxWorkload.cpp
@@ -18,17 +18,27 @@ namespace armnn
 {
 
 void RefSoftmaxWorkload::Execute() const
+{
+    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefSoftmaxWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+    Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefSoftmaxWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
 {
     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefSoftmaxWorkload_Execute");
 
-    const TensorInfo &inputTensorInfo = GetTensorInfo(m_Data.m_Inputs[0]);
+    const TensorInfo &inputTensorInfo = GetTensorInfo(inputs[0]);
 
-    std::unique_ptr<Decoder<float>> decoderPtr = MakeDecoder<float>(inputTensorInfo, m_Data.m_Inputs[0]->Map());
+    std::unique_ptr<Decoder<float>> decoderPtr = MakeDecoder<float>(inputTensorInfo, inputs[0]->Map());
     Decoder<float> &decoder = *decoderPtr;
 
-    const TensorInfo &outputTensorInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+    const TensorInfo &outputTensorInfo = GetTensorInfo(outputs[0]);
 
-    std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputTensorInfo, m_Data.m_Outputs[0]->Map());
+    std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputTensorInfo, outputs[0]->Map());
     Encoder<float> &encoder = *encoderPtr;
 
     Softmax(decoder,
-- 
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