IVGCVSW-5787 Add/Update Execute() implementations in RefActivationWorkload

 * Added multithreaded StridedSliceEndToEndTest

Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I4579db7b5959e0a22256f1bda00238c22e611dec

1 files changed, 14 insertions, 11 deletions

diff --git a/src/backends/reference/workloads/RefDepthwiseConvolution2dWorkload.cpp b/src/backends/reference/workloads/RefDepthwiseConvolution2dWorkload.cpp
index cfc81ce203..8fe5dec7d1 100644
--- a/src/backends/reference/workloads/RefDepthwiseConvolution2dWorkload.cpp
+++ b/src/backends/reference/workloads/RefDepthwiseConvolution2dWorkload.cpp
@@ -32,26 +32,29 @@ RefDepthwiseConvolution2dWorkload::RefDepthwiseConvolution2dWorkload(
     }
 }
 
-void RefDepthwiseConvolution2dWorkload::PostAllocationConfigure()
+void RefDepthwiseConvolution2dWorkload::Execute() const
 {
-    const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
-    m_InputShape = inputInfo.GetShape();
-    m_InputDecoder = MakeDecoder<float>(inputInfo);
+    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
 
-    const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
-    m_OutputShape = outputInfo.GetShape();
-    m_OutputEncoder = MakeEncoder<float>(outputInfo);
+void RefDepthwiseConvolution2dWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+    Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
 }
 
-void RefDepthwiseConvolution2dWorkload::Execute() const
+void RefDepthwiseConvolution2dWorkload::Execute(std::vector<ITensorHandle*> inputs,
+                                                std::vector<ITensorHandle*> outputs) const
 {
     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDepthwiseConvolution2dWorkload_Execute");
     std::unique_ptr<Decoder<float>> pBiasDecoder{};
 
-    m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map());
-    m_OutputEncoder->Reset(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());
+
+    const TensorShape& inputShape = GetTensorInfo(inputs[0]).GetShape();
+    const TensorShape& outputShape = GetTensorInfo(outputs[0]).GetShape();
 
-    Convolve(m_InputShape, *m_InputDecoder, m_OutputShape, *m_OutputEncoder,
+    Convolve(inputShape, *inputDecoder, outputShape, *OutputEncoder,
              m_FilterShape, *m_FilterDecoder, m_Data.m_Parameters.m_BiasEnabled, m_BiasDecoder.get(),
              m_Data.m_Parameters.m_DataLayout, m_Data.m_Parameters.m_PadTop, m_Data.m_Parameters.m_PadLeft,
              m_Data.m_Parameters.m_StrideX, m_Data.m_Parameters.m_StrideY,