diff options
Diffstat (limited to 'src/backends/reference/workloads/RefL2NormalizationWorkload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefL2NormalizationWorkload.cpp | 18 |
1 files changed, 14 insertions, 4 deletions
diff --git a/src/backends/reference/workloads/RefL2NormalizationWorkload.cpp b/src/backends/reference/workloads/RefL2NormalizationWorkload.cpp index f80901edc9..ca31503620 100644 --- a/src/backends/reference/workloads/RefL2NormalizationWorkload.cpp +++ b/src/backends/reference/workloads/RefL2NormalizationWorkload.cpp @@ -26,13 +26,23 @@ RefL2NormalizationWorkload::RefL2NormalizationWorkload( void RefL2NormalizationWorkload::Execute() const { + Execute(m_Data.m_Inputs, m_Data.m_Outputs); +} + +void RefL2NormalizationWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) +{ + Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); +} + +void RefL2NormalizationWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const +{ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefL2NormalizationWorkload_Execute"); - const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]); - const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); + const TensorInfo& inputInfo = GetTensorInfo(inputs[0]); + const TensorInfo& outputInfo = GetTensorInfo(outputs[0]); - auto inputDecoder = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map()); - auto outputEncoder = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map()); + auto inputDecoder = MakeDecoder<float>(inputInfo, inputs[0]->Map()); + auto outputEncoder = MakeEncoder<float>(outputInfo, outputs[0]->Map()); DataLayoutIndexed dataLayout(m_Data.m_Parameters.m_DataLayout); |