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Diffstat (limited to 'src/backends/reference/workloads/RefArgMinMaxWorkload.cpp')
-rw-r--r--src/backends/reference/workloads/RefArgMinMaxWorkload.cpp17
1 files changed, 14 insertions, 3 deletions
diff --git a/src/backends/reference/workloads/RefArgMinMaxWorkload.cpp b/src/backends/reference/workloads/RefArgMinMaxWorkload.cpp
index bf8649f54d..77167a866b 100644
--- a/src/backends/reference/workloads/RefArgMinMaxWorkload.cpp
+++ b/src/backends/reference/workloads/RefArgMinMaxWorkload.cpp
@@ -18,16 +18,27 @@ RefArgMinMaxWorkload::RefArgMinMaxWorkload(
const WorkloadInfo& info)
: BaseWorkload<ArgMinMaxQueueDescriptor>(descriptor, info) {}
+
void RefArgMinMaxWorkload::Execute() const
{
+ Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefArgMinMaxWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+ Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefArgMinMaxWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
+{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefArgMinMaxWorkload_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]);
if (outputTensorInfo.GetDataType() == armnn::DataType::Signed32) {
int32_t *output = GetOutputTensorData<int32_t>(0, m_Data);