IVGCVSW-5787 Add/Update Execute() implementations in RefActivationWorkload
* Added multithreaded StridedSliceEndToEndTest
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I4579db7b5959e0a22256f1bda00238c22e611dec
diff --git a/src/backends/reference/workloads/RefComparisonWorkload.cpp b/src/backends/reference/workloads/RefComparisonWorkload.cpp
index 52ad9a2..03df7a4 100644
--- a/src/backends/reference/workloads/RefComparisonWorkload.cpp
+++ b/src/backends/reference/workloads/RefComparisonWorkload.cpp
@@ -26,9 +26,15 @@
void RefComparisonWorkload::PostAllocationConfigure()
{
- const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
- const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]);
- const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+ PostAllocationConfigure(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefComparisonWorkload::PostAllocationConfigure(std::vector<ITensorHandle*> inputs,
+ std::vector<ITensorHandle*> outputs)
+{
+ const TensorInfo& inputInfo0 = GetTensorInfo(inputs[0]);
+ const TensorInfo& inputInfo1 = GetTensorInfo(inputs[1]);
+ const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
m_Input0 = MakeDecoder<InType>(inputInfo0);
m_Input1 = MakeDecoder<InType>(inputInfo1);
@@ -38,19 +44,31 @@
void RefComparisonWorkload::Execute() const
{
+ Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefComparisonWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+ PostAllocationConfigure(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+
+ Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefComparisonWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
+{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefComparisonWorkload_Execute");
- const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
- const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]);
- const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+ const TensorInfo& inputInfo0 = GetTensorInfo(inputs[0]);
+ const TensorInfo& inputInfo1 = GetTensorInfo(inputs[1]);
+ const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
const TensorShape& inShape0 = inputInfo0.GetShape();
const TensorShape& inShape1 = inputInfo1.GetShape();
const TensorShape& outShape = outputInfo.GetShape();
- m_Input0->Reset(m_Data.m_Inputs[0]->Map());
- m_Input1->Reset(m_Data.m_Inputs[1]->Map());
- m_Output->Reset(m_Data.m_Outputs[0]->Map());
+ m_Input0->Reset(inputs[0]->Map());
+ m_Input1->Reset(inputs[1]->Map());
+ m_Output->Reset(outputs[0]->Map());
using EqualFunction = ElementwiseBinaryFunction<std::equal_to<InType>>;
using GreaterFunction = ElementwiseBinaryFunction<std::greater<InType>>;