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Diffstat (limited to 'src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp')
-rw-r--r--src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp19
1 files changed, 15 insertions, 4 deletions
diff --git a/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp b/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp
index 21fcdab5a3..e1068896ba 100644
--- a/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp
+++ b/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp
@@ -24,6 +24,17 @@ RefBatchNormalizationWorkload::RefBatchNormalizationWorkload(const BatchNormaliz
void RefBatchNormalizationWorkload::Execute() const
{
+ Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefBatchNormalizationWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+ Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefBatchNormalizationWorkload::Execute(std::vector<ITensorHandle*> inputs,
+ std::vector<ITensorHandle*> outputs) const
+{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationWorkload_Execute");
std::unique_ptr<Decoder<float>> meanDecoder = MakeDecoder<float>(m_Mean->GetTensorInfo(),
@@ -34,10 +45,10 @@ void RefBatchNormalizationWorkload::Execute() const
m_Gamma->Map(true));
std::unique_ptr<Decoder<float>> betaDecoder = MakeDecoder<float>(m_Beta->GetTensorInfo(),
m_Beta->Map(true));
- 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());
BatchNormImpl(m_Data, *meanDecoder, *varianceDecoder, *betaDecoder, *gammaDecoder, *inputDecoder, *outputEncoder);
}