package io.vivarium.scripts;
import java.util.LinkedList;
import java.util.List;
import org.apache.commons.cli.CommandLine;
import org.apache.commons.cli.Option;
import io.vivarium.core.processor.NeuralNetwork;
import io.vivarium.core.processor.Processor;
import io.vivarium.serialization.FileIO;
import io.vivarium.serialization.Format;
import io.vivarium.serialization.VivariumObjectCollection;
public class NormalizeProcessorGenomes extends CommonsScript
{
private static final String INPUT_FILE = "input";
private static final String OUTPUT_FILE = "output";
public NormalizeProcessorGenomes(String[] args)
{
super(args);
}
// WebWorld worldCopy = Streamer.get().deepCopy(world);
@Override
protected List<Option> getScriptSpecificOptions()
{
LinkedList<Option> options = new LinkedList<>();
options.add(Option
.builder("i")
.required(true)
.longOpt(INPUT_FILE)
.hasArg(true)
.argName("FILE")
.desc("file to load.")
.build());
options.add(Option
.builder("o")
.required(true)
.longOpt(OUTPUT_FILE)
.hasArg(true)
.argName("FILE")
.desc("file to save.")
.build());
return options;
}
@Override
protected void run(CommandLine commandLine)
{
// Load the file
String inputFile = commandLine.getOptionValue(INPUT_FILE);
VivariumObjectCollection collection = FileIO.loadObjectCollection(inputFile, Format.JSON);
List<Processor> processors = collection.getAll(Processor.class);
for (Processor processor : processors)
{
NeuralNetwork nn = (NeuralNetwork) processor;
nn.normalizeWeights(1);
}
String outputFile = commandLine.getOptionValue(OUTPUT_FILE);
FileIO.saveSerializerCollection(collection, outputFile, Format.JSON);
}
@Override
protected String getUsageHeader()
{
return "Normalize all processors in the loaded file";
}
@Override
protected String getExtraArgString()
{
return "";
}
public static void main(String[] args)
{
new NormalizeProcessorGenomes(args);
}
}