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-rw-r--r--src/backends/reference/workloads/RefInstanceNormalizationWorkload.cpp19
1 files changed, 15 insertions, 4 deletions
diff --git a/src/backends/reference/workloads/RefInstanceNormalizationWorkload.cpp b/src/backends/reference/workloads/RefInstanceNormalizationWorkload.cpp
index 150f0cb017..daee97ae3e 100644
--- a/src/backends/reference/workloads/RefInstanceNormalizationWorkload.cpp
+++ b/src/backends/reference/workloads/RefInstanceNormalizationWorkload.cpp
@@ -20,12 +20,23 @@ RefInstanceNormalizationWorkload::RefInstanceNormalizationWorkload(
void RefInstanceNormalizationWorkload::Execute() const
{
+ Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefInstanceNormalizationWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+ Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefInstanceNormalizationWorkload::Execute(std::vector<ITensorHandle*> inputs,
+ std::vector<ITensorHandle*> outputs) const
+{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefInstanceNormalizationWorkload_Execute");
- std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[0]),
- m_Data.m_Inputs[0]->Map());
- std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]),
- 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());
InstanceNorm(m_Data, *inputDecoder, *outputEncoder);
}