private Net.Network.Network CreateAndRunTestTemporalMemoryNetwork()
{
Publisher manual = Publisher.GetBuilder()
.AddHeader("dayOfWeek")
.AddHeader("darr")
.AddHeader("B").Build();
Sensor <ObservableSensor <String[]> > sensor = Sensor <ObservableSensor <string[]> > .Create(
ObservableSensor <string[]> .Create, SensorParams.Create(SensorParams.Keys.Obs, new Object[] { "name", manual }));
Parameters p = GetParameters();
Map <String, Map <String, Object> > settings = NetworkTestHarness.SetupMap(
null, // map
20, // n
0, // w
0, // min
0, // max
0, // radius
0, // resolution
null, // periodic
null, // clip
true, // forced
"dayOfWeek", // fieldName
"darr", // fieldType (dense array as opposed to sparse array or "sarr")
"SDRPassThroughEncoder"); // encoderType
p.SetParameterByKey(Parameters.KEY.FIELD_ENCODING_MAP, settings);
Net.Network.Network network = Net.Network.Network.Create("test network", p)
.Add(Net.Network.Network.CreateRegion("r1")
.Add(Net.Network.Network.CreateLayer("1", p)
.Add(new TemporalMemory())
.Add(sensor)));
network.Start();
network.Observe().Subscribe(i => { }, e => Console.WriteLine(e));
// new Subscriber<Inference>() {
// @Override public void onCompleted() { }
// @Override public void onError(Throwable e) { e.printStackTrace(); }
// @Override public void onNext(Inference i) { }
//});
int[] input1 = new int[] { 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0 };
int[] input2 = new int[] { 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0 };
int[] input3 = new int[] { 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0 };
int[] input4 = new int[] { 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0 };
int[] input5 = new int[] { 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0 };
int[] input6 = new int[] { 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1 };
int[] input7 = new int[] { 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0 };
int[][] inputs = { input1, input2, input3, input4, input5, input6, input7 };
// Run until TemporalMemory is "warmed up".
int timeUntilStable = 602;
for (int j = 0; j < timeUntilStable; j++)
{
for (int i = 0; i < inputs.Length; i++)
{
manual.OnNext(Arrays.ToString(inputs[i]));
}
}
manual.OnComplete();
ILayer l = network.Lookup("r1").Lookup("1");
try
{
l.GetLayerThread().Wait();
Console.WriteLine(Arrays.ToString(SDR.AsCellIndices(l.GetConnections().GetActiveCells())));
}
catch (Exception e)
{
Assert.AreEqual(typeof(ThreadInterruptedException), e.GetType());
}
return(network);
}
public void TestSerializeLayer()
{
Parameters p = NetworkTestHarness.GetParameters().Copy();
p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42));
Map <String, Map <String, Object> > settings = NetworkTestHarness.SetupMap(
null, // map
8, // n
0, // w
0, // min
0, // max
0, // radius
0, // resolution
null, // periodic
null, // clip
true, // forced
"dayOfWeek", // fieldName
"darr", // fieldType (dense array as opposed to sparse array or "sarr")
"SDRPassThroughEncoder"); // encoderType
p.SetParameterByKey(Parameters.KEY.FIELD_ENCODING_MAP, settings);
Sensor <ObservableSensor <string[]> > sensor = Sensor <ObservableSensor <string[]> > .Create(
ObservableSensor <string[]> .Create, SensorParams.Create(SensorParams.Keys.Obs, new Object[] { "name",
PublisherSupplier.GetBuilder()
.AddHeader("dayOfWeek")
.AddHeader("darr")
.AddHeader("B").Build() }));
ILayer layer = Net.Network.Network.CreateLayer("1", p)
.AlterParameter(Parameters.KEY.AUTO_CLASSIFY, true)
.Add(new SpatialPooler())
.Add(sensor);
// Observer obs = new Observer<IInference>() {
// @Override public void onCompleted() { }
// @Override public void onError(Throwable e) { e.printStackTrace(); }
// @Override
// public void onNext(Inference spatialPoolerOutput)
// {
// System.out.println("in onNext()");
// }
//};
var obs = Observer.Create <IInference>(
spatialPoolerOutput => { Console.WriteLine("in onNext()"); },
e => Console.WriteLine(e),
() => { });
layer.Subscribe(obs);
layer.Close();
SerialConfig config = new SerialConfig("testSerializeLayer", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
api.Write(layer);
//Serialize above Connections for comparison with same run but unserialized below...
ILayer serializedLayer = api.Read <ILayer>();
Assert.AreEqual(serializedLayer, layer);
DeepCompare(layer, serializedLayer);
// Now change one attribute and see that they are not equal
serializedLayer.ResetRecordNum();
Assert.AreNotEqual(serializedLayer, layer);
}
private Net.Network.Network CreateAndRunTestSpatialPoolerNetwork(int start, int runTo)
{
Publisher manual = Publisher.GetBuilder()
.AddHeader("dayOfWeek")
.AddHeader("darr")
.AddHeader("B")
.Build();
Sensor <ObservableSensor <string[]> > sensor = Sensor <ObservableSensor <String[]> > .Create(
ObservableSensor <string[]> .Create, SensorParams.Create(SensorParams.Keys.Obs, new Object[] { "name", manual }));
Parameters p = NetworkTestHarness.GetParameters().Copy();
p.SetParameterByKey(Parameters.KEY.RANDOM, new XorshiftRandom(42));
Map <String, Map <String, Object> > settings = NetworkTestHarness.SetupMap(
null, // map
8, // n
0, // w
0, // min
0, // max
0, // radius
0, // resolution
null, // periodic
null, // clip
true, // forced
"dayOfWeek", // fieldName
"darr", // fieldType (dense array as opposed to sparse array or "sarr")
"SDRPassThroughEncoder"); // encoderType
p.SetParameterByKey(Parameters.KEY.FIELD_ENCODING_MAP, settings);
Net.Network.Network network = Net.Network.Network.Create("test network", p)
.Add(Net.Network.Network.CreateRegion("r1")
.Add(Net.Network.Network.CreateLayer("1", p)
.Add(new SpatialPooler())
.Add(sensor)));
network.Start();
int[][] inputs = new int[7][];
inputs[0] = new int[] { 1, 1, 0, 0, 0, 0, 0, 1 };
inputs[1] = new int[] { 1, 1, 1, 0, 0, 0, 0, 0 };
inputs[2] = new int[] { 0, 1, 1, 1, 0, 0, 0, 0 };
inputs[3] = new int[] { 0, 0, 1, 1, 1, 0, 0, 0 };
inputs[4] = new int[] { 0, 0, 0, 1, 1, 1, 0, 0 };
inputs[5] = new int[] { 0, 0, 0, 0, 1, 1, 1, 0 };
inputs[6] = new int[] { 0, 0, 0, 0, 0, 1, 1, 1 };
int[] expected0 = new int[] { 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0 };
int[] expected1 = new int[] { 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1 };
int[] expected2 = new int[] { 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1 };
int[] expected3 = new int[] { 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0 };
int[] expected4 = new int[] { 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0 };
int[] expected5 = new int[] { 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0 };
int[] expected6 = new int[] { 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1 };
int[][] expecteds = new int[][] { expected0, expected1, expected2, expected3, expected4, expected5, expected6 };
//TestObserver<Inference> tester;
int test = 0;
network.Observe().Subscribe(
spatialPoolerOutput =>
{
Console.WriteLine(test + " E: " + Arrays.ToString(expecteds[test]) + " -- "
+ "A: " + Arrays.ToString(spatialPoolerOutput.GetSdr()));
Assert.IsTrue(Arrays.AreEqual(expecteds[test], spatialPoolerOutput.GetSdr()));
test++;
},
e =>
{
Console.WriteLine(e);
},
() =>
{
});
// Now push some fake data through so that "onNext" is called above
for (int i = start; i <= runTo; i++)
{
manual.OnNext(Arrays.ToString(inputs[i]));
}
manual.OnComplete();
try
{
network.Lookup("r1").Lookup("1").GetLayerThread().Wait();
}
catch (Exception e) { Console.WriteLine(e); }
//checkObserver(tester);
return(network);
}
public void TestThreadedPublisher()
{
Publisher manual = Publisher.GetBuilder()
.AddHeader("dayOfWeek")
.AddHeader("darr")
.AddHeader("B").Build();
Sensor <ObservableSensor <string[]> > sensor = Sensor <ObservableSensor <string[]> > .Create(
ObservableSensor <string[]> .Create, SensorParams.Create(SensorParams.Keys.Obs, new Object[] { "name", manual }));
Parameters p = GetParameters();
Map <String, Map <String, Object> > settings = NetworkTestHarness.SetupMap(
null, // map
20, // n
0, // w
0, // min
0, // max
0, // radius
0, // resolution
null, // periodic
null, // clip
true, // forced
"dayOfWeek", // fieldName
"darr", // fieldType (dense array as opposed to sparse array or "sarr")
"SDRPassThroughEncoder"); // encoderType
p.SetParameterByKey(Parameters.KEY.FIELD_ENCODING_MAP, settings);
Net.Network.Network network = Net.Network.Network.Create("test network", p)
.Add(Net.Network.Network.CreateRegion("r1")
.Add(Net.Network.Network.CreateLayer <IInference>("1", p)
.Add(new TemporalMemory())
.Add(sensor)));
network.Start();
network.Observe().Subscribe(Observer.Create <IInference>(
output =>
{
},
Console.WriteLine,
() => { }
));
int[] input1 = new int[] { 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0 };
int[] input2 = new int[] { 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0 };
int[] input3 = new int[] { 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0 };
int[] input4 = new int[] { 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0 };
int[] input5 = new int[] { 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0 };
int[] input6 = new int[] { 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1 };
int[] input7 = new int[] { 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0 };
int[][] inputs = { input1, input2, input3, input4, input5, input6, input7 };
// Now push some warm up data through so that "onNext" is called above
int timeUntilStable = 602;
for (int j = 0; j < timeUntilStable; j++)
{
for (int i = 0; i < inputs.Length; i++)
{
manual.OnNext(Arrays.ToString(inputs[i]));
}
}
manual.OnComplete();
ILayer l = network.Lookup("r1").Lookup("1");
try
{
l.GetLayerThread().Wait();
ComputeCycle cc = l.GetInference().GetComputeCycle();
TEST_AGGREGATION[TM_NAPI] = SDR.AsCellIndices(cc.activeCells);
}
catch (Exception e)
{
Debug.WriteLine(e.ToString());
Assert.IsInstanceOfType(e, typeof(ThreadAbortException));
}
}