diff options
Diffstat (limited to 'src/backends/reference/workloads/RefConvolution2dWorkload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefConvolution2dWorkload.cpp | 24 |
1 files changed, 13 insertions, 11 deletions
diff --git a/src/backends/reference/workloads/RefConvolution2dWorkload.cpp b/src/backends/reference/workloads/RefConvolution2dWorkload.cpp index dad9936f1b..6d0ab413d8 100644 --- a/src/backends/reference/workloads/RefConvolution2dWorkload.cpp +++ b/src/backends/reference/workloads/RefConvolution2dWorkload.cpp @@ -30,24 +30,26 @@ RefConvolution2dWorkload::RefConvolution2dWorkload( } } -void RefConvolution2dWorkload::PostAllocationConfigure() +void RefConvolution2dWorkload::Execute() const { - const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]); - m_InputShape = inputInfo.GetShape(); - m_InputDecoder = MakeDecoder<float>(inputInfo); + Execute(m_Data.m_Inputs, m_Data.m_Outputs); +} - const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); - m_OutputShape = outputInfo.GetShape(); - m_OutputEncoder = MakeEncoder<float>(outputInfo); +void RefConvolution2dWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) +{ + Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); } -void RefConvolution2dWorkload::Execute() const { +void RefConvolution2dWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const { ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvolution2dWorkload_Execute"); - m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map()); - m_OutputEncoder->Reset(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()); + + const TensorShape& inputShape = GetTensorInfo(inputs[0]).GetShape(); + const TensorShape& outputShape = GetTensorInfo(outputs[0]).GetShape(); - Convolve(m_InputShape, *m_InputDecoder, m_OutputShape, *m_OutputEncoder, m_FilterShape, + Convolve(inputShape, *inputDecoder, outputShape, *outputEncoder, m_FilterShape, *m_FilterDecoder, m_Data.m_Parameters.m_BiasEnabled, m_BiasDecoder.get(), m_Data.m_Parameters.m_DataLayout, m_Data.m_Parameters.m_PadTop, m_Data.m_Parameters.m_PadLeft, m_Data.m_Parameters.m_StrideX, m_Data.m_Parameters.m_StrideY, |