31 m_Input0 = MakeDecoder<InType>(inputInfo0);
32 m_Input1 = MakeDecoder<InType>(inputInfo1);
33 m_Output = MakeEncoder<OutType>(outputInfo);
59 AndFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output);
64 OrFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output);
const TensorShape & GetShape() const
CPU Execution: Reference C++ kernels.
const LogicalBinaryQueueDescriptor m_Data
Copyright (c) 2020 ARM Limited.
LayerDescriptor m_Parameters
LogicalBinaryOperation m_Operation
Specifies the logical operation to execute.
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
constexpr char const * GetLogicalBinaryOperationAsCString(LogicalBinaryOperation operation)
std::vector< ITensorHandle * > m_Outputs
virtual void Execute() const override
Contains information about inputs and outputs to a layer.
RefLogicalBinaryWorkload(const LogicalBinaryQueueDescriptor &descriptor, const WorkloadInfo &info)
std::vector< ITensorHandle * > m_Inputs
void PostAllocationConfigure() override
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers