17 using namespace armcomputetensorutils;
23 const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
24 const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
28 "NeonReduceWorkload: Reduction is supported only on 1 axis.");
35 return arm_compute::NEReductionOperation::validate(&aclInputInfo,
37 static_cast<unsigned int>(coords[0]),
53 m_Layer.configure(&input,
55 static_cast<unsigned int>(coords[0]),
NeonReduceWorkload(const ReduceQueueDescriptor &descriptor, const WorkloadInfo &info)
bool m_KeepDims
if true then output shape has no change.
std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2021 ARM Limited and Contributors.
LayerDescriptor m_Parameters
void Execute() const override
arm_compute::ReductionOperation ConvertReductionOperationToAcl(const ReduceDescriptor &descriptor)
arm_compute::Status NeonReduceWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ReduceDescriptor &desc)
std::vector< TensorInfo > m_InputTensorInfos
ReduceQueueDescriptor m_Data
A ReduceDescriptor for the REDUCE operators.
std::vector< uint32_t > m_vAxis
The indices of the dimensions to reduce.
std::vector< ITensorHandle * > m_Outputs
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs
unsigned int GetNumDimensions() const