avx

Documentation

Overview

Package AVX implements the learning stage of the Neurlang classifier on AVX

Index

• type HyperParameters
  • func (h *HyperParameters) H() *learning.HyperParameters
  • func (h *HyperParameters) SetLogger(filename string)
  • func (h *HyperParameters) Solve(d datasets.SplittedDataset) (int, *hashtron.Hashtron)
  • func (h *HyperParameters) Training(d datasets.Splitter) (*hashtron.Hashtron, error)

Types

type HyperParameters

type HyperParameters struct {
	learning.HyperParameters

	AvxLanes uint32 // should be set to 16 for AVX512
	AvxSkip  uint32 // should be set to 1 to not skip work, >1 to skip some possibly repeated work
	// contains filtered or unexported fields
}

func (*HyperParameters) H

func (h *HyperParameters) H() *learning.HyperParameters

func (*HyperParameters) SetLogger

func (h *HyperParameters) SetLogger(filename string)

SetLogger sets the output logger file where hashtron golang code programs are written

func (*HyperParameters) Solve

func (h *HyperParameters) Solve(d datasets.SplittedDataset) (int, *hashtron.Hashtron)

Solve directly solves a single hashtron on a splitted dataset d. It outputs the size of solution and the trained hashtron if successful. Most callers should use Training instead.

func (*HyperParameters) Training

func (h *HyperParameters) Training(d datasets.Splitter) (*hashtron.Hashtron, error)

Training trains a single hashtron on a dataset d. It outputs the trained hashtron if successful, or an error.