16 using namespace armcomputetensorutils;
22 const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
23 const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
29 return arm_compute::NEReduceMean::validate(&aclInputInfo, coords, desc.
m_KeepDims, &aclOutputInfo);
NeonMeanWorkload(const MeanQueueDescriptor &descriptor, const WorkloadInfo &info)
void Execute() const override
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
unsigned int GetNumDimensions() const
arm_compute::Status NeonMeanWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &desc)
LayerDescriptor m_Parameters
std::vector< unsigned int > m_Axis
Values for the dimensions to reduce.
bool m_KeepDims
Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept...
std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates
const MeanQueueDescriptor m_Data
std::vector< TensorInfo > m_InputTensorInfos
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs
A MeanDescriptor for the MeanLayer.