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);
unsigned int GetNumDimensions() const
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
ClMeanWorkload(const MeanQueueDescriptor &descriptor, const WorkloadInfo &info)
std::vector< TensorInfo > m_InputTensorInfos
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
arm_compute::Status ClMeanValidate(const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &desc)
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs
A MeanDescriptor for the MeanLayer.
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
void Execute() const override