47 std::unique_ptr<Decoder<InType>> input0 = MakeDecoder<InType>(inputInfo0, inputs[0]->Map());
48 std::unique_ptr<Decoder<InType>> input1 = MakeDecoder<InType>(inputInfo1, inputs[1]->Map());
49 std::unique_ptr<Encoder<OutType>> output = MakeEncoder<OutType>(outputInfo, outputs[0]->Map());
58 AndFunction(inShape0, inShape1, outShape, *input0, *input1, *output);
63 OrFunction(inShape0, inShape1, outShape, *input0, *input1, *output);
const TensorShape & GetShape() const
CPU Execution: Reference C++ kernels.
void ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) override
Copyright (c) 2021 ARM Limited and Contributors.
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_Inputs
LogicalBinaryQueueDescriptor m_Data
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Outputs
void Execute() const override
Contains information about TensorInfos of a layer.
RefLogicalBinaryWorkload(const LogicalBinaryQueueDescriptor &descriptor, const WorkloadInfo &info)
std::vector< ITensorHandle * > m_Inputs
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers