diff options
Diffstat (limited to 'src/backends/reference/workloads/RefConvolution2dWorkload.cpp')
| -rw-r--r-- | src/backends/reference/workloads/RefConvolution2dWorkload.cpp | 33 |
1 files changed, 25 insertions, 8 deletions
diff --git a/src/backends/reference/workloads/RefConvolution2dWorkload.cpp b/src/backends/reference/workloads/RefConvolution2dWorkload.cpp index 5ae1af8967..7c331715d8 100644 --- a/src/backends/reference/workloads/RefConvolution2dWorkload.cpp +++ b/src/backends/reference/workloads/RefConvolution2dWorkload.cpp @@ -13,18 +13,33 @@ namespace armnn { RefConvolution2dWorkload::RefConvolution2dWorkload( - const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) - : BaseWorkload<Convolution2dQueueDescriptor>(descriptor, info) + const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) + : BaseWorkload<Convolution2dQueueDescriptor>(descriptor, info) { - m_Weight = std::make_unique<ScopedTensorHandle>(*(descriptor.m_Weight)); + // Construct params for reporting operator details + std::string workloadName = "RefConvolution2dWorkload_Execute_Guid" + std::to_string(this->GetGuid()); + + WorkloadInfo detailsInfo; + detailsInfo.m_InputTensorInfos = info.m_InputTensorInfos; + detailsInfo.m_OutputTensorInfos = info.m_OutputTensorInfos; + detailsInfo.m_WeightsTensorInfo = armnn::Optional<armnn::TensorInfo>(descriptor.m_Weight->GetTensorInfo()); + if (descriptor.m_Parameters.m_BiasEnabled) + { + detailsInfo.m_BiasTensorInfo = armnn::Optional<armnn::TensorInfo>(descriptor.m_Bias->GetTensorInfo()); + } + + // Report Profiling Details + ARMNN_REPORT_PROFILING_WORKLOAD_DESC(workloadName, descriptor.m_Parameters, detailsInfo); + + m_Weight = std::make_unique<ScopedTensorHandle>(*( descriptor.m_Weight )); const TensorInfo& rFilterInfo = m_Weight->GetTensorInfo(); m_FilterShape = rFilterInfo.GetShape(); m_FilterDecoder = MakeDecoder<float>(rFilterInfo, m_Weight.get()->Map(true)); - if (descriptor.m_Parameters.m_BiasEnabled) + if ( descriptor.m_Parameters.m_BiasEnabled ) { - m_Bias = std::make_unique<ScopedTensorHandle>(*(descriptor.m_Bias)); + m_Bias = std::make_unique<ScopedTensorHandle>(*( descriptor.m_Bias )); const TensorInfo& biasInfo = m_Bias->GetTensorInfo(); m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true)); } @@ -35,13 +50,15 @@ void RefConvolution2dWorkload::Execute() const Execute(m_Data.m_Inputs, m_Data.m_Outputs); } -void RefConvolution2dWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) +void RefConvolution2dWorkload::ExecuteAsync(WorkingMemDescriptor& workingMemDescriptor) { Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); } -void RefConvolution2dWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const { - ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvolution2dWorkload_Execute"); +void RefConvolution2dWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const +{ + std::string workloadName = "RefConvolutionWorkload_Execute_Guid" + std::to_string(this->GetGuid()); + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, workloadName); 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()); |