diff options
Diffstat (limited to 'src/backends/reference/workloads/RefElementwiseUnaryWorkload.cpp')
| -rw-r--r-- | src/backends/reference/workloads/RefElementwiseUnaryWorkload.cpp | 31 |
1 files changed, 16 insertions, 15 deletions
diff --git a/src/backends/reference/workloads/RefElementwiseUnaryWorkload.cpp b/src/backends/reference/workloads/RefElementwiseUnaryWorkload.cpp index 4fbb0d123f..b442f25c2a 100644 --- a/src/backends/reference/workloads/RefElementwiseUnaryWorkload.cpp +++ b/src/backends/reference/workloads/RefElementwiseUnaryWorkload.cpp @@ -28,28 +28,29 @@ RefElementwiseUnaryWorkload::RefElementwiseUnaryWorkload(const ElementwiseUnaryQ : BaseWorkload<ElementwiseUnaryQueueDescriptor>(desc, info) {} -void RefElementwiseUnaryWorkload::PostAllocationConfigure() +void RefElementwiseUnaryWorkload::Execute() const { - const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]); - const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); + Execute(m_Data.m_Inputs, m_Data.m_Outputs); +} - m_Input = MakeDecoder<InType>(inputInfo); +void RefElementwiseUnaryWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) +{ - m_Output = MakeEncoder<OutType>(outputInfo); + Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); } -void RefElementwiseUnaryWorkload::Execute() const +void RefElementwiseUnaryWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const { ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefElementwiseUnaryWorkload_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]); const TensorShape& inShape = inputInfo.GetShape(); const TensorShape& outShape = outputInfo.GetShape(); - m_Input->Reset(m_Data.m_Inputs[0]->Map()); - m_Output->Reset(m_Data.m_Outputs[0]->Map()); + std::unique_ptr<Decoder<InType>> input = MakeDecoder<InType>(inputInfo, inputs[0]->Map()); + std::unique_ptr<Encoder<OutType>> output= MakeEncoder<OutType>(outputInfo, outputs[0]->Map()); using AbsFunction = ElementwiseUnaryFunction<abs<InType>>; using ExpFunction = ElementwiseUnaryFunction<exp<InType>>; @@ -61,27 +62,27 @@ void RefElementwiseUnaryWorkload::Execute() const { case UnaryOperation::Abs: { - AbsFunction(inShape, outShape, *m_Input, *m_Output); + AbsFunction(inShape, outShape, *input, *output); break; } case UnaryOperation::Exp: { - ExpFunction(inShape, outShape, *m_Input, *m_Output); + ExpFunction(inShape, outShape, *input, *output); break; } case UnaryOperation::Neg: { - NegFunction(inShape, outShape, *m_Input, *m_Output); + NegFunction(inShape, outShape, *input, *output); break; } case UnaryOperation::Rsqrt: { - RsqrtFunction(inShape, outShape, *m_Input, *m_Output); + RsqrtFunction(inShape, outShape, *input, *output); break; } case UnaryOperation::Sqrt: { - SqrtFunction(inShape, outShape, *m_Input, *m_Output); + SqrtFunction(inShape, outShape, *input, *output); break; } default: |