package.path = package.path .. ";" .. "/home/neuralnet/workspace/OpenPV/parameterWrapper/?.lua"; --neds to be adjusted
local pv = require "PVModule";
--local subnets = require "PVSubnets";
local nbatch = 1; --Batch size of learning
local nxSize = 64; --Cifar is 32 x 32
local nySize = 16;
local xpatchSize = nxSize;
local ypatchSize = nySize;
local displayPeriod = 1000; --Number of timesteps to find sparse approximation
local numEpochs = 1; --Number of times to run through dataset
local numImages = 1000; --Total number of images in dataset
local stopTime = numImages * displayPeriod;
local writeStep = displayPeriod;
local initialWriteTime = displayPeriod;
local inputPath = ; -- path to a .txt file with all paths to input images
local outputPath = "output/";
local checkpointPeriod = (displayPeriod * (numImages + 1)); -- How often to write checkpoints
local numBasisVectors = 512; --1024; --2048; -- depending on completeness of used set of basis functions
local basisVectorFile = "V1ToError_W.pvp"; --the weights from the respective training run
local plasticityFlag = false; --Determines if we are learning weights, false because we are in testing condition
local momentumTau = 50; --The momentum parameter. A single weight update will last for momentumTau timesteps.
local dWMax = 0.05; --The learning rate
local VThresh = 0.035; -- .005; --The threshold, or lambda, of the network
local AMin = 0;
local AMax = infinity;
local AShift = VThresh; --This being equal to VThresh is a soft threshold
local VWidth = 0;
local timeConstantTau = math.ceil(displayPeriod/15); --The integration tau for sparse approximation
local weightInit = math.sqrt((1/xpatchSize)*(1/ypatchSize)*(1/3));
-- Base table variable to store
local pvParameters = {
--Layers------------------------------------------------------------
--------------------------------------------------------------------
column = {
groupType = "HyPerCol";
startTime = 0;
dt = 1;
dtAdaptFlag = true;
useAdaptMethodExp1stOrder = true;
dtAdaptController = "V1EnergyProbe";
dtAdaptTriggerLayerName = "Input";
dtAdaptTriggerOffset = 0;
dtScaleMax = 1; --1.0; -- minimum value for the maximum time scale, regardless of tau_eff
dtScaleMin = 0.1; -- default time scale to use after image flips or when something is wacky
dtChangeMax = 0.1; -- determines fraction of tau_effective to which to set the time step, can be a small percentage as tau_eff can be huge
dtChangeMin = 0.05; -- percentage increase in the maximum allowed time scale whenever the time scale equals the current maximum
dtMinToleratedTimeScale = 0.0001;
stopTime = stopTime;
progressInterval = (displayPeriod * 10);
writeProgressToErr = true;
verifyWrites = false;
outputPath = outputPath;
printParamsFilename = "occlusion.params";
randomSeed = 1234567890;
nx = nxSize;
ny = nySize;
nbatch = nbatch;
filenamesContainLayerNames = 2;
filenamesContainConnectionNames = 2;
initializeFromCheckpointDir = "";
defaultInitializeFromCheckpointFlag = false;
checkpointWrite = true;
checkpointWriteDir = outputPath .. "/Checkpoints"; --The checkpoint output directory
checkpointWriteTriggerMode = "step";
checkpointWriteStepInterval = checkpointPeriod; --How often to checkpoint
deleteOlderCheckpoints = false;
suppressNonplasticCheckpoints = false;
writeTimescales = true;
errorOnNotANumber = false;
};
Input = {
groupType = "Movie";
nxScale = 1;
nyScale = 1;
nf = 1;
phase = 0;
mirrorBCflag = true;
initializeFromCheckpointFlag = false;
writeStep = writeStep;
initialWriteTime = initialWriteTime;
sparseLayer = false;
updateGpu = false;
dataType = nil;
inputPath = inputPath;
offsetAnchor = "tl";
offsetX = 0;
offsetY = 0;
writeImages = 0;
inverseFlag = false;
normalizeLuminanceFlag = true;
normalizeStdDev = true;
jitterFlag = 0;
useImageBCflag = false;
padValue = 0;
autoResizeFlag = false;
displayPeriod = displayPeriod;
echoFramePathnameFlag = true;
batchMethod = "byImage";
start_frame_index = {0.000000};
writeFrameToTimestamp = true;
flipOnTimescaleError = true;
resetToStartOnLoop = false;
};
InputError = {
groupType = "ANNLayer";
nxScale = 1;
nyScale = 1;
nf = 1;
phase = 1;
mirrorBCflag = false;
valueBC = 0;
initializeFromCheckpointFlag = false;
InitVType = "ZeroV";
triggerLayerName = NULL;
writeStep = displayPeriod;
initialWriteTime = initialWriteTime;
sparseLayer = false;
updateGpu = false;
dataType = nil;
VThresh = -infinity;
AMin = -infinity;
AMax = infinity;
AShift = 0;
clearGSynInterval = 0;
useMask = false;
};
V1 = {
groupType = "HyPerLCALayer";
nxScale = 1/nxSize;
nyScale = 1/nySize;
nf = numBasisVectors;
phase = 2;
mirrorBCflag = false;
valueBC = 0;
initializeFromCheckpointFlag = false;
InitVType = "ConstantV";
valueV = VThresh;
--InitVType = "InitVFromFile";
--Vfilename = "V1_V.pvp";
triggerLayerName = NULL;
writeStep = displayPeriod;
initialWriteTime = initialWriteTime;
sparseLayer = true;
writeSparseValues = true;
updateGpu = true;
dataType = nil;
VThresh = VThresh;
AMin = AMin;
AMax = AMax;
AShift = AShift;
VWidth = VWidth;
clearGSynInterval = 0;
timeConstantTau = timeConstantTau;
selfInteract = true;
};
InputRecon = {
groupType = "ANNLayer";
nxScale = 1;
nyScale = 1;
nf = 1;
phase = 3;
mirrorBCflag = false;
valueBC = 0;
initializeFromCheckpointFlag = false;
InitVType = "ZeroV";
triggerLayerName = NULL;
writeStep = writeStep;
initialWriteTime = initialWriteTime;
sparseLayer = false;
updateGpu = false;
dataType = nil;
VThresh = -infinity;
AMin = -infinity;
AMax = infinity;
AShift = 0;
VWidth = 0;
clearGSynInterval = 0;
};
--Connections ------------------------------------------------------
--------------------------------------------------------------------
InputToError = {
groupType = "RescaleConn";
preLayerName = "Input";
postLayerName = "InputError";
channelCode = 0;
delay = {0.000000};
scale = weightInit;
};
ErrorToV1 = {
groupType = "TransposeConn";
preLayerName = "InputError";
postLayerName = "V1";
channelCode = 0;
delay = {0.000000};
convertRateToSpikeCount = false;
receiveGpu = true;
updateGSynFromPostPerspective = true;
pvpatchAccumulateType = "convolve";
writeStep = -1;
writeCompressedCheckpoints = false;
selfFlag = false;
gpuGroupIdx = -1;
originalConnName = "V1ToError";
};
V1ToError = {
groupType = "MomentumConn";
preLayerName = "V1";
postLayerName = "InputError";
channelCode = -1;
delay = {0.000000};
numAxonalArbors = 1;
plasticityFlag = plasticityFlag;
convertRateToSpikeCount = false;
receiveGpu = false; -- non-sparse -> non-sparse
sharedWeights = true;
--weightInitType = "UniformRandomWeight";
wMinInit = -1;
wMaxInit = 1;
sparseFraction = 0.9;
weightInitType = "FileWeight";
initWeightsFile = basisVectorFile;
useListOfArborFiles = false;
combineWeightFiles = false;
initializeFromCheckpointFlag = false;
triggerLayerName = "Input";
triggerOffset = 0;
updateGSynFromPostPerspective = false; -- Should be false from V1 (sparse layer) to Error (not sparse). Otherwise every input from pre will be calculated (Instead of only active ones)
pvpatchAccumulateType = "convolve";
writeStep = -1;
initialWriteTime = initialWriteTime;
writeCompressedCheckpoints = false;
selfFlag = false;
nxp = xpatchSize;
nyp = ypatchSize;
shrinkPatches = false;
normalizeMethod = "normalizeL2";
strength = 1;
normalizeArborsIndividually = false;
normalizeOnInitialize = true;
normalizeOnWeightUpdate = true;
rMinX = 0;
rMinY = 0;
nonnegativeConstraintFlag = false;
normalize_cutoff = 0;
normalizeFromPostPerspective = false;
minL2NormTolerated = 0;
dWMax = dWMax;
keepKernelsSynchronized = true;
useMask = false;
momentumTau = momentumTau; --The momentum parameter. A single weight update will last for momentumTau timesteps.
momentumMethod = "viscosity";
momentumDecay = 0;
};
V1ToRecon = {
groupType = "CloneConn";
preLayerName = "V1";
postLayerName = "InputRecon";
channelCode = 0;
delay = {0.000000};
convertRateToSpikeCount = false;
receiveGpu = false;
updateGSynFromPostPerspective = false;
pvpatchAccumulateType = "convolve";
writeCompressedCheckpoints = false;
selfFlag = false;
originalConnName = "V1ToError";
};
ReconToError = {
groupType = "IdentConn";
preLayerName = "InputRecon";
postLayerName = "InputError";
channelCode = 1;
delay = {0.000000};
initWeightsFile = nil;
};
--Probes------------------------------------------------------------
--------------------------------------------------------------------
V1EnergyProbe = {
groupType = "ColumnEnergyProbe";
message = nil;
textOutputFlag = true;
probeOutputFile = "V1EnergyProbe.txt";
triggerLayerName = nil;
energyProbe = nil;
};
InputErrorL2NormEnergyProbe = {
groupType = "L2NormProbe";
targetLayer = "InputError";
message = nil;
textOutputFlag = true;
probeOutputFile = "InputErrorL2NormEnergyProbe.txt";
energyProbe = "V1EnergyProbe";
coefficient = 0.5;
maskLayerName = nil;
exponent = 2;
};
V1L1NormEnergyProbe = {
groupType = "L1NormProbe";
targetLayer = "V1";
message = nil;
textOutputFlag = true;
probeOutputFile = "V1L1NormEnergyProbe.txt";
energyProbe = "V1EnergyProbe";
coefficient = 0.025;
maskLayerName = nil;
};
} --End of pvParameters
-- Print out PetaVision approved parameter file to the console
pv.printConsole(pvParameters)
Hvitgar