diff options
Diffstat (limited to 'src/backends/reference/workloads/RefNormalizationWorkload.cpp')
| -rw-r--r-- | src/backends/reference/workloads/RefNormalizationWorkload.cpp | 16 |
1 files changed, 13 insertions, 3 deletions
diff --git a/src/backends/reference/workloads/RefNormalizationWorkload.cpp b/src/backends/reference/workloads/RefNormalizationWorkload.cpp index d5d2104cba..36828acfb3 100644 --- a/src/backends/reference/workloads/RefNormalizationWorkload.cpp +++ b/src/backends/reference/workloads/RefNormalizationWorkload.cpp @@ -163,12 +163,22 @@ RefNormalizationWorkload::RefNormalizationWorkload(const NormalizationQueueDescr void RefNormalizationWorkload::Execute() const { + Execute(m_Data.m_Inputs, m_Data.m_Outputs); +} + +void RefNormalizationWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) +{ + Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); +} + +void RefNormalizationWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const +{ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefNormalizationWorkload_Execute"); - const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]); + const TensorInfo& inputInfo = GetTensorInfo(inputs[0]); - auto inputDecoder = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map()); - auto outputEncoder = MakeEncoder<float>(inputInfo, m_Data.m_Outputs[0]->Map()); + auto inputDecoder = MakeDecoder<float>(inputInfo, inputs[0]->Map()); + auto outputEncoder = MakeEncoder<float>(inputInfo, outputs[0]->Map()); if (NormalizationAlgorithmMethod::LocalBrightness == m_Data.m_Parameters.m_NormMethodType) { |