public void SerializationTest1()
{
var parameters = GetDefaultParams();
parameters.setInputDimensions(new int[] { 500 });
parameters.setColumnDimensions(new int[] { 2048 });
parameters.setNumActiveColumnsPerInhArea(0.02 * 2048);
parameters.setGlobalInhibition(true);
var sp1 = new SpatialPooler();
var mem1 = new Connections();
parameters.apply(mem1);
sp1.init(mem1);
sp1.Serializer("spTesting.json");
string ser = File.ReadAllText("spTesting.json");
var sp2 = SpatialPooler.Deserializer("spTesting.json");
// sp2.Serializer("spTestingDeserialized");
// string des = File.ReadAllText("spTestingDeserialized");
// Assert.IsTrue(ser.SequenceEqual(des));
/* JsonSerializerSettings settings = new JsonSerializerSettings
* {
*
* DefaultValueHandling = DefaultValueHandling.Include,
* ObjectCreationHandling = ObjectCreationHandling.Auto,
* ReferenceLoopHandling = ReferenceLoopHandling.Serialize,
* ConstructorHandling = ConstructorHandling.AllowNonPublicDefaultConstructor,
* TypeNameHandling = TypeNameHandling.Auto
*
* };
*
* var jsonData = JsonConvert.SerializeObject(sp1, settings);
* File.WriteAllText("spSerializedFile.json", jsonData);
*
*
* var sp2 = JsonConvert.DeserializeObject<SpatialPooler>(File.ReadAllText("spSerializedFile.json"), settings);
* var jsonData2 = JsonConvert.SerializeObject(sp2, settings);
*
*
*
* File.WriteAllText("spSerializedFile2.json", jsonData2);
*
* var sp3 = JsonConvert.DeserializeObject<SpatialPooler>(File.ReadAllText("spSerializedFile2.json"), settings);
* var jsonData3 = JsonConvert.SerializeObject(sp3, settings);
*
* File.WriteAllText("spSerializedFile3.json", jsonData3);
*
* Assert.IsTrue(jsonData2.SequenceEqual(jsonData3));
* Assert.IsTrue(jsonData.SequenceEqual(jsonData2));
*/
}
public void CategorySequenceExperiment()
{
bool learn = true;
Parameters p = Parameters.getAllDefaultParameters();
p.Set(KEY.RANDOM, new ThreadSafeRandom(42));
p.Set(KEY.INPUT_DIMENSIONS, new int[] { 100 });
p.Set(KEY.CELLS_PER_COLUMN, 30);
string[] categories = new string[] { "A", "B", "C", "D" };
//string[] categories = new string[] { "A", "B", "C", "D", "E", "F", "G", "H", "I", "K", "L" , "M", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", "Ö" };
CortexNetwork net = new CortexNetwork("my cortex");
List <CortexRegion> regions = new List <CortexRegion>();
CortexRegion region0 = new CortexRegion("1st Region");
regions.Add(region0);
SpatialPooler sp1 = new SpatialPooler();
TemporalMemory tm1 = new TemporalMemory();
var mem = new Connections();
p.apply(mem);
sp1.init(mem, UnitTestHelpers.GetMemory());
tm1.init(mem);
Dictionary <string, object> settings = new Dictionary <string, object>();
//settings.Add("W", 25);
settings.Add("N", 100);
//settings.Add("Radius", 1);
EncoderBase encoder = new CategoryEncoder(categories, settings);
//encoder.Encode()
CortexLayer <object, object> layer1 = new CortexLayer <object, object>("L1");
region0.AddLayer(layer1);
layer1.HtmModules.Add("encoder", encoder);
layer1.HtmModules.Add("sp", sp1);
//layer1.HtmModules.Add(tm1);
//layer1.Compute();
//IClassifier<string, ComputeCycle> cls = new HtmClassifier<string, ComputeCycle>();
HtmClassifier <string, ComputeCycle> cls = new HtmClassifier <string, ComputeCycle>();
HtmUnionClassifier <string, ComputeCycle> cls1 = new HtmUnionClassifier <string, ComputeCycle>();
//string[] inputs = new string[] { "A", "B", "C", "D" };
string[] inputs = new string[] { "A", "B", "C", "D" };
//
// This trains SP.
foreach (var input in inputs)
{
Debug.WriteLine($" ** {input} **");
for (int i = 0; i < 3; i++)
{
var lyrOut = layer1.Compute((object)input, learn) as ComputeCycle;
}
}
sp1.Serializer("spCSTSerialized.json");
var sp2 = SpatialPooler.Deserializer("spCSTSerialized.json");
layer1.HtmModules.Remove("sp");
layer1.HtmModules.Add("sp", sp2);
// Here we add TM module to the layer.
layer1.HtmModules.Add("tm", tm1);
//
// Now, training with SP+TM. SP is pretrained on pattern.
for (int i = 0; i < 200; i++)
{
foreach (var input in inputs)
{
var lyrOut = layer1.Compute(input, learn) as ComputeCycle;
//cls1.Learn(input, lyrOut.activeCells.ToArray(), learn);
//Debug.WriteLine($"Current Input: {input}");
cls.Learn(input, lyrOut.ActiveCells.ToArray(), lyrOut.predictiveCells.ToArray());
Debug.WriteLine($"Current Input: {input}");
if (learn == false)
{
Debug.WriteLine($"Predict Input When Not Learn: {cls.GetPredictedInputValue(lyrOut.predictiveCells.ToArray())}");
}
else
{
Debug.WriteLine($"Predict Input: {cls.GetPredictedInputValue(lyrOut.predictiveCells.ToArray())}");
}
Debug.WriteLine("-----------------------------------------------------------\n----------------------------------------------------------");
}
if (i == 10)
{
Debug.WriteLine("Stop Learning From Here----------------------------");
learn = false;
}
// tm1.reset(mem);
}
Debug.WriteLine("------------------------------------------------------------------------\n----------------------------------------------------------------------------");
/*
* learn = false;
* for (int i = 0; i < 19; i++)
* {
* foreach (var input in inputs)
* {
* layer1.Compute((object)input, learn);
* }
* }
*/
sp1.Serialize("tm.serialize.json");
}
public void SerializationTestWithTrainedData()
{
var parameters = GetDefaultParams();
parameters.setInputDimensions(new int[] { 16 * 16 });
parameters.setColumnDimensions(new int[] { 32 * 32 });
parameters.setNumActiveColumnsPerInhArea(0.02 * 32 * 32);
parameters.setMinPctOverlapDutyCycles(0.01);
var mem = new Connections();
parameters.apply(mem);
var sp1 = new SpatialPooler();
sp1.init(mem);
int[] activeArray = new int[32 * 32];
int[] inputVector = Helpers.GetRandomVector(16 * 16, parameters.Get <Random>(KEY.RANDOM));
/* int [] inputVector = {
* 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
* 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
* 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
* 0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,
* 1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,
* 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
* 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
* 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
* 0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,
* 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
* 0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,
* 1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,
* 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
* 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
* 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
* 1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0 };
*
*/
string str1 = String.Empty;
for (int i = 0; i < 5; i++)
{
sp1.compute(inputVector, activeArray, true);
var activeCols1 = ArrayUtils.IndexWhere(activeArray, (el) => el == 1);
str1 = Helpers.StringifyVector(activeCols1);
Debug.WriteLine(str1);
}
/* JsonSerializerSettings settings = new JsonSerializerSettings
* {
*
* DefaultValueHandling = DefaultValueHandling.Include,
* ObjectCreationHandling = ObjectCreationHandling.Auto,
* ReferenceLoopHandling = ReferenceLoopHandling.Serialize,
* ConstructorHandling = ConstructorHandling.AllowNonPublicDefaultConstructor,
* TypeNameHandling = TypeNameHandling.Auto
*
* };
*/
// var jsConverted = JsonConvert.SerializeObject(sp1, Formatting.Indented, settings);
// string file2 = "spSerializeTrain-newtonsoft.json";
// File.WriteAllText(file2, jsConverted);
sp1.Serializer("spTrain1.json");
string ser1 = File.ReadAllText("spTrain1.json");
var sp2 = SpatialPooler.Deserializer("spTrain1.json");
sp2.Serializer("spTrainDes1.json");
string des1 = File.ReadAllText("spTrainDes1.json");
Assert.IsTrue(ser1.SequenceEqual(des1));
// SpatialPooler sp2 = JsonConvert.DeserializeObject<SpatialPooler>(File.ReadAllText(file2), settings);
for (int i = 5; i < 10; i++)
{
sp2.compute(inputVector, activeArray, false);
var activeCols2 = ArrayUtils.IndexWhere(activeArray, (el) => el == 1);
var str2 = Helpers.StringifyVector(activeCols2);
Debug.WriteLine(str2);
Assert.IsTrue(str1.SequenceEqual(str2));
}
sp2.Serializer("spTrain2.json");
string ser2 = File.ReadAllText("spTrain2.json");
// Assert.IsTrue(ser2.SequenceEqual(des1));
/* string serializedSecondPooler = JsonConvert.SerializeObject(sp2, Formatting.Indented, settings);
* string fileSecondPooler = "spSerializeTrain-secondpooler-newtonsoft.json";
* File.WriteAllText(fileSecondPooler, serializedSecondPooler);
*
* SpatialPooler sp3 = JsonConvert.DeserializeObject<SpatialPooler>(File.ReadAllText(fileSecondPooler), settings);
* string serializedThirdPooler = JsonConvert.SerializeObject(sp3, Formatting.Indented, settings);
*
*
* Assert.IsTrue(serializedThirdPooler.SequenceEqual(serializedSecondPooler), "Third and second poolers are not equal");
* Assert.IsTrue(jsConverted.SequenceEqual(serializedSecondPooler), "First and second poolers are not equal");
*/
}
