diff options
| author | Finn Williams <Finn.Williams@arm.com> | 2021-04-07 10:23:21 +0100 |
|---|---|---|
| committer | Finn Williams <Finn.Williams@arm.com> | 2021-04-14 15:18:38 +0100 |
| commit | b8181f72b8c7c9132373dbcf7f8709ec2c0f23c0 (patch) | |
| tree | 04cc91a6efb7e2601f80e4213a747938165b7184 /src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp | |
| parent | b898222a8856475f0217be5e78b4816aa1914f15 (diff) | |
| download | armnn-b8181f72b8c7c9132373dbcf7f8709ec2c0f23c0.tar.gz | |
IVGCVSW-5787 Add/Update Execute() implementations in RefActivationWorkload
* Added multithreaded StridedSliceEndToEndTest
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I4579db7b5959e0a22256f1bda00238c22e611dec
Diffstat (limited to 'src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp')
| -rw-r--r-- | src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp | 23 |
1 files changed, 12 insertions, 11 deletions
diff --git a/src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp b/src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp index 76eb5ac39f..bef2bdc668 100644 --- a/src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp +++ b/src/backends/reference/workloads/RefLogicalUnaryWorkload.cpp @@ -22,27 +22,28 @@ RefLogicalUnaryWorkload::RefLogicalUnaryWorkload(const ElementwiseUnaryQueueDesc : BaseWorkload<ElementwiseUnaryQueueDescriptor>(desc, info) {} -void RefLogicalUnaryWorkload::PostAllocationConfigure() +void RefLogicalUnaryWorkload::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); - m_Output = MakeEncoder<OutType>(outputInfo); +void RefLogicalUnaryWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) +{ + Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); } -void RefLogicalUnaryWorkload::Execute() const +void RefLogicalUnaryWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const { ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefLogicalUnaryWorkload_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 NotFunction = LogicalUnaryFunction<std::logical_not<bool>>; @@ -50,7 +51,7 @@ void RefLogicalUnaryWorkload::Execute() const { case UnaryOperation::LogicalNot: { - NotFunction(inShape, outShape, *m_Input, *m_Output); + NotFunction(inShape, outShape, *input, *output); break; } default: |