15 using namespace armcomputetensorutils;
21 const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
22 const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
28 return arm_compute::CLReduceMean::validate(&aclInputInfo, coords, desc.
m_KeepDims, &aclOutputInfo);
void Execute() const override
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates
const MeanQueueDescriptor m_Data
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2020 ARM Limited.
LayerDescriptor m_Parameters
std::vector< unsigned int > m_Axis
Values for the dimensions to reduce.
std::vector< TensorInfo > m_InputTensorInfos
bool m_KeepDims
Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept...
ClMeanWorkload(const MeanQueueDescriptor &descriptor, const WorkloadInfo &info)
arm_compute::Status ClMeanValidate(const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &desc)
std::vector< ITensorHandle * > m_Outputs
A MeanDescriptor for the MeanLayer.
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs
unsigned int GetNumDimensions() const