From 4db388b20c467132a0eeb597ad9d047076a53b33 Mon Sep 17 00:00:00 2001
From: Michael Plainer <plainer@ymail.com>
Date: Thu, 30 Mar 2017 20:28:56 +0200
Subject: [PATCH 01/40] Add IRIS example

---
 Sigma.Tests.Internals.WPF/Program.cs | 64 ++++++++++++++++++++++++++--
 1 file changed, 60 insertions(+), 4 deletions(-)

diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index 55495b86..ae3679f8 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -11,13 +11,18 @@
 using Sigma.Core.Layers.External;
 using Sigma.Core.Layers.Feedforward;
 using Sigma.Core.Monitors.WPF;
+using Sigma.Core.Monitors.WPF.Model.UI.Resources;
+using Sigma.Core.Monitors.WPF.Model.UI.StatusBar;
 using Sigma.Core.Monitors.WPF.Panels.Charts;
 using Sigma.Core.Monitors.WPF.Panels.Controls;
+using Sigma.Core.Monitors.WPF.Panels.Logging;
 using Sigma.Core.Monitors.WPF.Utils;
+using Sigma.Core.Monitors.WPF.View.CustomControls.StatusBar;
 using Sigma.Core.Training;
 using Sigma.Core.Training.Hooks.Reporters;
 using Sigma.Core.Training.Initialisers;
 using Sigma.Core.Training.Operators.Backends.NativeCpu;
+using Sigma.Core.Training.Optimisers.Gradient;
 using Sigma.Core.Training.Optimisers.Gradient.Memory;
 using Sigma.Core.Utils;
 
@@ -33,7 +38,7 @@ private static void Main()
 			SigmaEnvironment sigma = SigmaEnvironment.Create("Sigma-MNIST");
 
 			// create a new mnist trainer
-			ITrainer trainer = CreateMnistTrainer(sigma);
+			ITrainer trainer = CreateIrisTrainer(sigma);
 
 			// for the UI we have to activate more features
 			if (UI)
@@ -41,6 +46,11 @@ private static void Main()
 				// create and attach a new UI framework
 				WPFMonitor gui = sigma.AddMonitor(new WPFMonitor("MNIST"));
 
+				StatusBarLegendInfo iris = new StatusBarLegendInfo("IRIS", MaterialColour.Blue);
+				StatusBarLegendInfo general = new StatusBarLegendInfo("General", MaterialColour.Yellow);
+				gui.AddLegend(iris);
+				gui.AddLegend(general);
+
 				// create a tab
 				gui.AddTabs("Overview");
 
@@ -50,16 +60,26 @@ private static void Main()
 					// enable initialisation
 					window.IsInitializing = true;
 
+					window.TabControl["Overview"].GridSize.Rows -= 1;
+					window.TabControl["Overview"].GridSize.Columns -= 1;
+
 					// add a panel that controls the learning process
-					window.TabControl["Overview"].AddCumulativePanel(new ControlPanel("Control", trainer));
+					window.TabControl["Overview"].AddCumulativePanel(new ControlPanel("Control", trainer), legend: iris);
 
 					// create an accuracy cost that updates every iteration
-					var cost = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Cost", trainer, "optimiser.cost_total", TimeStep.Every(1, TimeScale.Iteration));
+					var cost = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Cost", trainer, "optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch));
 					// improve the chart performance
 					cost.Fast();
 
+					//var accuracy = new AccuracyPanel("Accuracy", trainer, null, 1, 2, 3);
+					//accuracy.Fast();
+
 					// add the newly created panel
-					window.TabControl["Overview"].AddCumulativePanel(cost);
+					window.TabControl["Overview"].AddCumulativePanel(cost, 1, 2, iris);
+
+					//window.TabControl["Overview"].AddCumulativePanel(accuracy);
+
+					window.TabControl["Overview"].AddCumulativePanel(new LogDataGridPanel("Log"), 1, 3, general);
 
 					// finish initialisation
 					window.IsInitializing = false;
@@ -74,6 +94,42 @@ private static void Main()
 			sigma.Run();
 		}
 
+		private static ITrainer CreateIrisTrainer(SigmaEnvironment sigma)
+		{
+			var irisReader = new CsvRecordReader(new MultiSource(new FileSource("iris.data"), new UrlSource("http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data")));
+			IRecordExtractor irisExtractor = irisReader.Extractor("inputs", new[] { 0, 3 }, "targets", 4).AddValueMapping(4, "Iris-setosa", "Iris-versicolor", "Iris-virginica");
+			irisExtractor = irisExtractor.Preprocess(new OneHotPreprocessor(sectionName: "targets", minValue: 0, maxValue: 2));
+			irisExtractor = irisExtractor.Preprocess(new PerIndexNormalisingPreprocessor(0, 1, "inputs", 0, 4.3, 7.9, 1, 2.0, 4.4, 2, 1.0, 6.9, 3, 0.1, 2.5));
+
+			IDataset dataset = new Dataset("iris", Dataset.BlockSizeAuto, irisExtractor);
+			IDataset trainingDataset = dataset;
+			IDataset validationDataset = dataset;
+
+			ITrainer trainer = sigma.CreateTrainer("test");
+
+			trainer.Network = new Network();
+			trainer.Network.Architecture = InputLayer.Construct(4)
+										   + FullyConnectedLayer.Construct(10)
+										   + FullyConnectedLayer.Construct(20)
+										   + FullyConnectedLayer.Construct(10)
+										   + FullyConnectedLayer.Construct(3)
+										   + OutputLayer.Construct(3)
+										   + SquaredDifferenceCostLayer.Construct();
+			trainer.TrainingDataIterator = new MinibatchIterator(4, trainingDataset);
+			trainer.AddNamedDataIterator("validation", new UndividedIterator(validationDataset));
+			trainer.Optimiser = new GradientDescentOptimiser(learningRate: 0.002);
+			trainer.Operator = new CpuSinglethreadedOperator();
+
+			trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.4));
+			trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01, mean: 0.05));
+
+			trainer.AddHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch)));
+			trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));
+			trainer.AddLocalHook(new CurrentEpochIterationReporter(TimeStep.Every(1, TimeScale.Epoch)));
+
+			return trainer;
+		}
+
 		/// <summary>
 		/// Create a MNIST trainer (writing recognition) will be added to an environemnt.
 		/// </summary>

From 22e1fc7a3c0566c4e38899efb9e97dbcb68047c2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Fri, 31 Mar 2017 21:18:20 +0200
Subject: [PATCH 02/40] Add ArrayPool

Add ArrayPool
---
 .../Panels/Controls/DrawPanel.cs              |  2 +-
 .../Backends/SigmaDiff/ArrayPool.cs           | 72 +++++++++++++++++++
 2 files changed, 73 insertions(+), 1 deletion(-)
 create mode 100644 Sigma.Core/MathAbstract/Backends/SigmaDiff/ArrayPool.cs

diff --git a/Sigma.Core.Monitors.WPF/Panels/Controls/DrawPanel.cs b/Sigma.Core.Monitors.WPF/Panels/Controls/DrawPanel.cs
index c256afdc..ffa2cd40 100644
--- a/Sigma.Core.Monitors.WPF/Panels/Controls/DrawPanel.cs
+++ b/Sigma.Core.Monitors.WPF/Panels/Controls/DrawPanel.cs
@@ -108,7 +108,7 @@ public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
 				});
 
 				DataProviderUtils.ProvideExternalInputData(provider, network, block);
-				network.Run(Operator.Handler, false);
+				network.Run(Operator.Handler, trainingPass: false);
 				DataProviderUtils.ProvideExternalOutputData(provider, network, block);
 			}
 		}
diff --git a/Sigma.Core/MathAbstract/Backends/SigmaDiff/ArrayPool.cs b/Sigma.Core/MathAbstract/Backends/SigmaDiff/ArrayPool.cs
new file mode 100644
index 00000000..3c31a8f3
--- /dev/null
+++ b/Sigma.Core/MathAbstract/Backends/SigmaDiff/ArrayPool.cs
@@ -0,0 +1,72 @@
+/* 
+MIT License
+
+Copyright (c) 2016-2017 Florian Cäsar, Michael Plainer
+
+For full license see LICENSE in the root directory of this project. 
+*/
+
+using System.Collections.Generic;
+using Sigma.Core.Utils;
+
+namespace Sigma.Core.MathAbstract.Backends.SigmaDiff
+{
+    /// <summary>
+    /// An array pool for pooling arrays.
+    /// Duh.
+    /// </summary>
+    /// <typeparam name="T"></typeparam>
+    public class ArrayPool<T>
+    {
+        private readonly IDictionary<int, IList<T[]>> _availableArrays;
+
+        /// <summary>
+        /// Create a new array pool.
+        /// </summary>
+        public ArrayPool()
+        {
+            _availableArrays = new Dictionary<int, IList<T[]>>();
+        }
+
+        /// <summary>
+        /// Allocate an array of a certain size from this array pool.
+        /// </summary>
+        /// <param name="arraySize">The array size.</param>
+        /// <returns>An array of the given size.</returns>
+        public T[] Allocate(int arraySize)
+        {
+            if (!_availableArrays.ContainsKey(arraySize))
+            {
+                return new T[arraySize];
+            }
+
+            IList<T[]> pooledArrays = _availableArrays[arraySize];
+            int lastIndex = pooledArrays.Count - 1;
+
+            T[] lastPooledArray = pooledArrays[lastIndex];
+
+            pooledArrays.RemoveAt(lastIndex);
+
+            return lastPooledArray;
+        }
+
+        /// <summary>
+        /// Free a specific array allocated with this 
+        /// </summary>
+        /// <param name="array"></param>
+        public void Free(T[] array)
+        {
+            // TODO what happens if the same array is freed multiple times? check list? but that's slower than checking a set... but a set doesn't have an item order...
+            _availableArrays.TryGetValue(array.Length, () => new List<T[]>()).Add(array);
+        }
+
+        /// <summary>
+        /// Free all pooled arrays.
+        /// </summary>
+        public void FreeAll()
+        {
+            _availableArrays.Clear();
+            // now get to work GC
+        }
+    }
+}

From 32b76a345600cb60d58c567a2785c381ebb02d8b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Fri, 31 Mar 2017 21:18:40 +0200
Subject: [PATCH 03/40] Update .csproj file (forgot)

---
 Sigma.Core/Sigma.Core.csproj | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Sigma.Core/Sigma.Core.csproj b/Sigma.Core/Sigma.Core.csproj
index 704ebe09..086f90b4 100644
--- a/Sigma.Core/Sigma.Core.csproj
+++ b/Sigma.Core/Sigma.Core.csproj
@@ -195,6 +195,7 @@
     <Compile Include="Layers\External\InputLayer.cs" />
     <Compile Include="Layers\InternalLayerBuffer.cs" />
     <Compile Include="Layers\Regularisation\DropoutLayer.cs" />
+    <Compile Include="MathAbstract\Backends\SigmaDiff\ArrayPool.cs" />
     <Compile Include="MathAbstract\Backends\SigmaDiff\NativeCpu\ADFloat32Number.cs" />
     <Compile Include="MathAbstract\Backends\SigmaDiff\NativeCpu\ADNDFloat32Array.cs" />
     <Compile Include="MathAbstract\NDArrayUtils.cs" />

From 38bd3af2cdda0ba72fa529663ac90a2e55fdebf4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Sun, 2 Apr 2017 21:43:47 +0200
Subject: [PATCH 04/40] Add tagged map operations in preparation for
 performance improvements

Add tagged map operations in preparation for performance improvements
---
 Sigma.Core/Dependencies/DiffSharp.dll         | Bin 2135552 -> 2148352 bytes
 .../SigmaDiff/DiffSharpBackendHandle.cs       |  12 +--
 .../DiffSharpFloat32BackendHandle.cs          |  76 +++++++++++++++---
 .../Backends/SigmaDiff/ADNDArray.cs           |   3 +-
 4 files changed, 73 insertions(+), 18 deletions(-)

diff --git a/Sigma.Core/Dependencies/DiffSharp.dll b/Sigma.Core/Dependencies/DiffSharp.dll
index ee9e31cf91ff3b82afb1e25c9b17abe1d46de484..dfba877ac661e86a14586085d77761ba997da755 100644
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diff --git a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpBackendHandle.cs b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpBackendHandle.cs
index d91d8eb8..4a9e14ab 100644
--- a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpBackendHandle.cs
+++ b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpBackendHandle.cs
@@ -53,9 +53,7 @@ internal DiffSharpBackendHandle(IBlasBackend blasBackend, ILapackBackend lapackB
 		public abstract FSharpOption<ISigmaDiffDataBuffer<T>> Solve_M_V(ShapedDataBufferView<T> a, ISigmaDiffDataBuffer<T> b);
 		public abstract FSharpOption<ISigmaDiffDataBuffer<T>> SolveSymmetric_M_V(ShapedDataBufferView<T> a, ISigmaDiffDataBuffer<T> b);
 		public abstract ISigmaDiffDataBuffer<T> Diagonal_M(ShapedDataBufferView<T> a);
-		public abstract ISigmaDiffDataBuffer<T> Map_F_V(FSharpFunc<T, T> a, ISigmaDiffDataBuffer<T> b);
-		public abstract ISigmaDiffDataBuffer<T> Map2_F_V_V(FSharpFunc<T, FSharpFunc<T, T>> a, ISigmaDiffDataBuffer<T> b, ISigmaDiffDataBuffer<T> obj2);
-		public abstract ISigmaDiffDataBuffer<T> ReshapeCopy_MRows_V(ShapedDataBufferView<T> value);
+	    public abstract ISigmaDiffDataBuffer<T> ReshapeCopy_MRows_V(ShapedDataBufferView<T> value);
 		public abstract ShapedDataBufferView<T> Mul_Out_V_V(ISigmaDiffDataBuffer<T> a, ISigmaDiffDataBuffer<T> b);
 		public abstract ShapedDataBufferView<T> Add_M_M(ShapedDataBufferView<T> a, ShapedDataBufferView<T> b);
 		public abstract ShapedDataBufferView<T> Add_S_M(T a, ShapedDataBufferView<T> b);
@@ -70,10 +68,14 @@ internal DiffSharpBackendHandle(IBlasBackend blasBackend, ILapackBackend lapackB
 		public abstract FSharpOption<ShapedDataBufferView<T>> Inverse_M(ShapedDataBufferView<T> a);
 		public abstract FSharpOption<T> Det_M(ShapedDataBufferView<T> a);
 		public abstract ShapedDataBufferView<T> Transpose_M(ShapedDataBufferView<T> a);
-		public abstract ShapedDataBufferView<T> Map_F_M(FSharpFunc<T, T> a, ShapedDataBufferView<T> b);
-		public abstract ShapedDataBufferView<T> Map2_F_M_M(FSharpFunc<T, FSharpFunc<T, T>> a, ShapedDataBufferView<T> b, ShapedDataBufferView<T> obj2);
 		public abstract ShapedDataBufferView<T> ReshapeCopy_V_MRows(int rows, ISigmaDiffDataBuffer<T> value);
 		public abstract ShapedDataBufferView<T> RepeatReshapeCopy_V_MRows(int rows, ISigmaDiffDataBuffer<T> value);
 		public abstract ShapedDataBufferView<T> RepeatReshapeCopy_V_MCols(int cols, ISigmaDiffDataBuffer<T> value);
+	    public abstract ISigmaDiffDataBuffer<T> Map_F_V(MapOp mapOp, FSharpFunc<T, T> function, ISigmaDiffDataBuffer<T> value);
+	    public abstract ISigmaDiffDataBuffer<T> Map_F_S_V(T other, MapOp mapOp, FSharpFunc<T, T> function, ISigmaDiffDataBuffer<T> value);
+	    public abstract ISigmaDiffDataBuffer<T> Map2_F_V_V(MapOp mapOp, FSharpFunc<T, FSharpFunc<T, T>> function, ISigmaDiffDataBuffer<T> a, ISigmaDiffDataBuffer<T> b);
+	    public abstract ShapedDataBufferView<T> Map_F_M(MapOp mapOp, FSharpFunc<T, T> function, ShapedDataBufferView<T> value);
+	    public abstract ShapedDataBufferView<T> Map_F_S_M(T other, MapOp mapOp, FSharpFunc<T, T> function, ShapedDataBufferView<T> value);
+	    public abstract ShapedDataBufferView<T> Map2_F_M_M(MapOp mapOp, FSharpFunc<T, FSharpFunc<T, T>> function, ShapedDataBufferView<T> a, ShapedDataBufferView<T> b);
 	}
 }
diff --git a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32BackendHandle.cs b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32BackendHandle.cs
index 43d023af..2e6800e0 100644
--- a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32BackendHandle.cs
+++ b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32BackendHandle.cs
@@ -7,9 +7,8 @@ For full license see LICENSE in the root directory of this project.
 */
 
 using System;
-using System.Linq;
+using DiffSharp.Backend;
 using Microsoft.FSharp.Core;
-using Sigma.Core.Utils;
 using static DiffSharp.Util;
 
 namespace Sigma.Core.Handlers.Backends.SigmaDiff
@@ -22,18 +21,20 @@ public unsafe class DiffSharpFloat32BackendHandle : DiffSharpBackendHandle<float
 		/// <summary>
 		/// Create a DiffSharpFloat32BackendHandle with a certain BLAS and LAPACK backend and an associated handle tag. 
 		/// </summary>
-		/// <param name="blasBackend"></param>
-		/// <param name="lapackBackend"></param>
-		/// <param name="backendTag"></param>
+		/// <param name="blasBackend">The BLAS backend to use (must use 32-bit floats).</param>
+		/// <param name="lapackBackend">The LAPACK backend to use (must use 32-bit floats).</param>
+		/// <param name="backendTag">The backend tag to use.</param>
 		public DiffSharpFloat32BackendHandle(IBlasBackend blasBackend, ILapackBackend lapackBackend, long backendTag) : base(blasBackend, lapackBackend, backendTag)
 		{
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.CreateDataBuffer"/>
 		public override ISigmaDiffDataBuffer<float> CreateDataBuffer(float[] values)
 		{
 			return new SigmaDiffDataBuffer<float>(values, backendTag: BackendTag);
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.L1Norm_V"/>
 		public override float L1Norm_V(ISigmaDiffDataBuffer<float> value)
 		{
 			if (value.Length == 0)
@@ -50,6 +51,7 @@ public override float L1Norm_V(ISigmaDiffDataBuffer<float> value)
 			}
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.L2Norm_V"/>
 		public override float L2Norm_V(ISigmaDiffDataBuffer<float> value)
 		{
 			if (value.Length == 0)
@@ -66,6 +68,7 @@ public override float L2Norm_V(ISigmaDiffDataBuffer<float> value)
 			}
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.SupNorm_V"/>
 		public override float SupNorm_V(ISigmaDiffDataBuffer<float> value)
 		{
 			if (value.Length == 0)
@@ -84,6 +87,7 @@ public override float SupNorm_V(ISigmaDiffDataBuffer<float> value)
 			}
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Sum_V"/>
 		public override float Sum_V(ISigmaDiffDataBuffer<float> value)
 		{
 			if (value.Length == 0)
@@ -102,11 +106,13 @@ public override float Sum_V(ISigmaDiffDataBuffer<float> value)
 			return sum;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Sum_M"/>
 		public override float Sum_M(ISigmaDiffDataBuffer<float> value)
 		{
 			return Sum_V(value);
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Add_V_V"/>
 		public override ISigmaDiffDataBuffer<float> Add_V_V(ISigmaDiffDataBuffer<float> a, ISigmaDiffDataBuffer<float> b)
 		{
 			if (a.Length == 0)
@@ -132,6 +138,7 @@ public override ISigmaDiffDataBuffer<float> Add_V_V(ISigmaDiffDataBuffer<float>
 			return b;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Add_S_V"/>
 		public override ISigmaDiffDataBuffer<float> Add_S_V(float a, ISigmaDiffDataBuffer<float> b)
 		{
 			if (b.Length == 0)
@@ -152,6 +159,7 @@ public override ISigmaDiffDataBuffer<float> Add_S_V(float a, ISigmaDiffDataBuffe
 			return b;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Sub_V_V"/>
 		public override ISigmaDiffDataBuffer<float> Sub_V_V(ISigmaDiffDataBuffer<float> a, ISigmaDiffDataBuffer<float> b)
 		{
 			if (a.Length == 0)
@@ -177,6 +185,7 @@ public override ISigmaDiffDataBuffer<float> Sub_V_V(ISigmaDiffDataBuffer<float>
 			return b;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Sub_S_V"/>
 		public override ISigmaDiffDataBuffer<float> Sub_S_V(float a, ISigmaDiffDataBuffer<float> b)
 		{
 			if (b.Length == 0)
@@ -197,6 +206,7 @@ public override ISigmaDiffDataBuffer<float> Sub_S_V(float a, ISigmaDiffDataBuffe
 			return b;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Sub_V_S"/>
 		public override ISigmaDiffDataBuffer<float> Sub_V_S(ISigmaDiffDataBuffer<float> a, float b)
 		{
 			if (a.Length == 0)
@@ -217,6 +227,7 @@ public override ISigmaDiffDataBuffer<float> Sub_V_S(ISigmaDiffDataBuffer<float>
 			return a;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Mul_S_V"/>
 		public override ISigmaDiffDataBuffer<float> Mul_S_V(float a, ISigmaDiffDataBuffer<float> b)
 		{
 			if (b.Length == 0)
@@ -236,6 +247,7 @@ public override ISigmaDiffDataBuffer<float> Mul_S_V(float a, ISigmaDiffDataBuffe
 			return b;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Mul_M_V"/>
 		public override ISigmaDiffDataBuffer<float> Mul_M_V(ShapedDataBufferView<float> a, ISigmaDiffDataBuffer<float> b)
 		{
 			if (a.Length * b.Length == 0)
@@ -260,16 +272,19 @@ public override ISigmaDiffDataBuffer<float> Mul_M_V(ShapedDataBufferView<float>
 			return z;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Mul_M_V_Add_V"/>
 		public override ISigmaDiffDataBuffer<float> Mul_M_V_Add_V(ShapedDataBufferView<float> a, ISigmaDiffDataBuffer<float> b, ISigmaDiffDataBuffer<float> obj2)
 		{
 			throw new NotImplementedException();
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Mul_Dot_V_V"/>
 		public override float Mul_Dot_V_V(ISigmaDiffDataBuffer<float> a, ISigmaDiffDataBuffer<float> n)
 		{
 			throw new NotImplementedException();
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Mul_V_M"/>
 		public override ISigmaDiffDataBuffer<float> Mul_V_M(ISigmaDiffDataBuffer<float> a, ShapedDataBufferView<float> b)
 		{
 			if (a.Length * b.Length == 0)
@@ -294,22 +309,26 @@ public override ISigmaDiffDataBuffer<float> Mul_V_M(ISigmaDiffDataBuffer<float>
 			return z;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Solve_M_V"/>
 		public override FSharpOption<ISigmaDiffDataBuffer<float>> Solve_M_V(ShapedDataBufferView<float> a, ISigmaDiffDataBuffer<float> b)
 		{
 			throw new NotImplementedException();
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.SolveSymmetric_M_V"/>
 		public override FSharpOption<ISigmaDiffDataBuffer<float>> SolveSymmetric_M_V(ShapedDataBufferView<float> a, ISigmaDiffDataBuffer<float> b)
 		{
 			throw new NotImplementedException();
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Diagonal_M"/>
 		public override ISigmaDiffDataBuffer<float> Diagonal_M(ShapedDataBufferView<float> a)
 		{
 			throw new NotImplementedException();
 		}
 
-		public override ISigmaDiffDataBuffer<float> Map_F_V(FSharpFunc<float, float> a, ISigmaDiffDataBuffer<float> b)
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Map_F_V"/>
+		public override ISigmaDiffDataBuffer<float> Map_F_V(MapOp mapOp, FSharpFunc<float, float> a, ISigmaDiffDataBuffer<float> b)
 		{
 			if (b.Length == 0)
 			{
@@ -327,27 +346,35 @@ public override ISigmaDiffDataBuffer<float> Map_F_V(FSharpFunc<float, float> a,
 			return b;
 		}
 
-		public override ISigmaDiffDataBuffer<float> Map2_F_V_V(FSharpFunc<float, FSharpFunc<float, float>> f, ISigmaDiffDataBuffer<float> a, ISigmaDiffDataBuffer<float> b)
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Map_F_S_V"/>
+		public override ISigmaDiffDataBuffer<float> Map_F_S_V(float other, MapOp mapOp, FSharpFunc<float, float> function, ISigmaDiffDataBuffer<float> value)
+		{
+			return Map_F_V(mapOp, function, value);
+		}
+
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Map2_F_V_V"/>
+		public override ISigmaDiffDataBuffer<float> Map2_F_V_V(MapOp mapOp, FSharpFunc<float, FSharpFunc<float, float>> function, ISigmaDiffDataBuffer<float> a, ISigmaDiffDataBuffer<float> b)
 		{
 			if (a.Length == 0)
 			{
-				return Map2_F_V_V(f, CreateDataBuffer(new float[b.Length]), b);
+				return Map2_F_V_V(mapOp, function, CreateDataBuffer(new float[b.Length]), b);
 			}
 			if (b.Length == 0)
 			{
-				return Map2_F_V_V(f, a, CreateDataBuffer(new float[a.Length]));
+				return Map2_F_V_V(mapOp, function, a, CreateDataBuffer(new float[a.Length]));
 			}
 
 			b = b.DeepCopy();
 
 			for (int i = 0; i < a.Length; i++)
 			{
-				b.Data[i] = f.Invoke(a.Data[i + a.Offset]).Invoke(b.Data[i + b.Offset]);
+				b.Data[i] = function.Invoke(a.Data[i + a.Offset]).Invoke(b.Data[i + b.Offset]);
 			}
 
 			return b;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Mul_Out_V_V"/>
 		public override ShapedDataBufferView<float> Mul_Out_V_V(ISigmaDiffDataBuffer<float> a, ISigmaDiffDataBuffer<float> b)
 		{
 			if (a.Length * b.Length == 0)
@@ -372,6 +399,7 @@ public override ShapedDataBufferView<float> Mul_Out_V_V(ISigmaDiffDataBuffer<flo
 			return new ShapedDataBufferView<float>(z, m, n);
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Add_M_M"/>
 		public override ShapedDataBufferView<float> Add_M_M(ShapedDataBufferView<float> a, ShapedDataBufferView<float> b)
 		{
 			if (a.Length == 0)
@@ -397,6 +425,7 @@ public override ShapedDataBufferView<float> Add_M_M(ShapedDataBufferView<float>
 			return b;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Add_S_M"/>
 		public override ShapedDataBufferView<float> Add_S_M(float a, ShapedDataBufferView<float> b)
 		{
 			if (b.Length == 0)
@@ -417,11 +446,13 @@ public override ShapedDataBufferView<float> Add_S_M(float a, ShapedDataBufferVie
 			return b;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Add_V_MCols"/>
 		public override ShapedDataBufferView<float> Add_V_MCols(ISigmaDiffDataBuffer<float> a, ShapedDataBufferView<float> b)
 		{
 			throw new NotImplementedException();
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Sub_M_M"/>
 		public override ShapedDataBufferView<float> Sub_M_M(ShapedDataBufferView<float> a, ShapedDataBufferView<float> b)
 		{
 			if (a.Length == 0)
@@ -447,6 +478,7 @@ public override ShapedDataBufferView<float> Sub_M_M(ShapedDataBufferView<float>
 			return a;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Sub_M_S"/>
 		public override ShapedDataBufferView<float> Sub_M_S(ShapedDataBufferView<float> a, float b)
 		{
 			if (a.Length == 0)
@@ -467,6 +499,7 @@ public override ShapedDataBufferView<float> Sub_M_S(ShapedDataBufferView<float>
 			return a;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Sub_S_M"/>
 		public override ShapedDataBufferView<float> Sub_S_M(float a, ShapedDataBufferView<float> b)
 		{
 			if (b.Length == 0)
@@ -499,6 +532,7 @@ public override ShapedDataBufferView<float> Sub_S_M(float a, ShapedDataBufferVie
 			return b;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Mul_M_M"/>
 		public override ShapedDataBufferView<float> Mul_M_M(ShapedDataBufferView<float> a, ShapedDataBufferView<float> b)
 		{
 			if (a.Length * b.Length == 0)
@@ -522,6 +556,7 @@ public override ShapedDataBufferView<float> Mul_M_M(ShapedDataBufferView<float>
 			return new ShapedDataBufferView<float>(z, a.Rows, b.Cols);
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Mul_S_M"/>
 		public override ShapedDataBufferView<float> Mul_S_M(float a, ShapedDataBufferView<float> b)
 		{
 			if (b.Length == 0)
@@ -541,11 +576,13 @@ public override ShapedDataBufferView<float> Mul_S_M(float a, ShapedDataBufferVie
 			return b;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Mul_M_M_Add_V_MCols"/>
 		public override ShapedDataBufferView<float> Mul_M_M_Add_V_MCols(ShapedDataBufferView<float> a, ShapedDataBufferView<float> b, ISigmaDiffDataBuffer<float> c)
 		{
 			throw new NotImplementedException();
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Mul_Had_M_M"/>
 		public override ShapedDataBufferView<float> Mul_Had_M_M(ShapedDataBufferView<float> a, ShapedDataBufferView<float> b)
 		{
 			if (a.Length == 0)
@@ -571,11 +608,13 @@ public override ShapedDataBufferView<float> Mul_Had_M_M(ShapedDataBufferView<flo
 			return b;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Inverse_M"/>
 		public override FSharpOption<ShapedDataBufferView<float>> Inverse_M(ShapedDataBufferView<float> a)
 		{
 			throw new NotImplementedException();
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Det_M"/>
 		public override FSharpOption<float> Det_M(ShapedDataBufferView<float> a)
 		{
 			if (a.Length == 0)
@@ -611,6 +650,7 @@ public override FSharpOption<float> Det_M(ShapedDataBufferView<float> a)
 			return FSharpOption<float>.Some(det);
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Transpose_M"/>
 		public override ShapedDataBufferView<float> Transpose_M(ShapedDataBufferView<float> a)
 		{
 			if (a.Length == 0)
@@ -628,7 +668,8 @@ public override ShapedDataBufferView<float> Transpose_M(ShapedDataBufferView<flo
 			return transposed;
 		}
 
-		public override ShapedDataBufferView<float> Map_F_M(FSharpFunc<float, float> f, ShapedDataBufferView<float> a)
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Map_F_M"/>
+		public override ShapedDataBufferView<float> Map_F_M(MapOp mapOp, FSharpFunc<float, float> f, ShapedDataBufferView<float> a)
 		{
 			if (a.Length == 0)
 			{
@@ -646,7 +687,14 @@ public override ShapedDataBufferView<float> Map_F_M(FSharpFunc<float, float> f,
 			return a;
 		}
 
-		public override ShapedDataBufferView<float> Map2_F_M_M(FSharpFunc<float, FSharpFunc<float, float>> f, ShapedDataBufferView<float> a, ShapedDataBufferView<float> b)
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Map_F_S_M"/>
+		public override ShapedDataBufferView<float> Map_F_S_M(float other, MapOp mapOp, FSharpFunc<float, float> function, ShapedDataBufferView<float> value)
+		{
+			return Map_F_M(mapOp, function, value);
+		}
+
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Map2_F_M_M"/>
+		public override ShapedDataBufferView<float> Map2_F_M_M(MapOp mapOp, FSharpFunc<float, FSharpFunc<float, float>> f, ShapedDataBufferView<float> a, ShapedDataBufferView<float> b)
 		{
 			if (a.Length == 0)
 			{
@@ -663,6 +711,7 @@ public override ShapedDataBufferView<float> Map2_F_M_M(FSharpFunc<float, FSharpF
 			return a;
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.ReshapeCopy_MRows_V"/>
 		public override ISigmaDiffDataBuffer<float> ReshapeCopy_MRows_V(ShapedDataBufferView<float> value)
 		{
 			if (value.Length == 0)
@@ -673,6 +722,7 @@ public override ISigmaDiffDataBuffer<float> ReshapeCopy_MRows_V(ShapedDataBuffer
 			return value.DataBuffer.DeepCopy();
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.ReshapeCopy_V_MRows"/>
 		public override ShapedDataBufferView<float> ReshapeCopy_V_MRows(int rows, ISigmaDiffDataBuffer<float> value)
 		{
 			if (value.Length == 0)
@@ -685,11 +735,13 @@ public override ShapedDataBufferView<float> ReshapeCopy_V_MRows(int rows, ISigma
 			return new ShapedDataBufferView<float>(value.DeepCopy(), rows, n);
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.RepeatReshapeCopy_V_MRows"/>
 		public override ShapedDataBufferView<float> RepeatReshapeCopy_V_MRows(int rows, ISigmaDiffDataBuffer<float> value)
 		{
 			throw new NotImplementedException();
 		}
 
+		/// <inheritdoc cref="DiffSharpBackendHandle{T}.RepeatReshapeCopy_V_MCols"/>
 		public override ShapedDataBufferView<float> RepeatReshapeCopy_V_MCols(int cols, ISigmaDiffDataBuffer<float> value)
 		{
 			throw new NotImplementedException();
diff --git a/Sigma.Core/MathAbstract/Backends/SigmaDiff/ADNDArray.cs b/Sigma.Core/MathAbstract/Backends/SigmaDiff/ADNDArray.cs
index bea8e5cc..ddb17646 100644
--- a/Sigma.Core/MathAbstract/Backends/SigmaDiff/ADNDArray.cs
+++ b/Sigma.Core/MathAbstract/Backends/SigmaDiff/ADNDArray.cs
@@ -117,7 +117,8 @@ public ADNDArray(params long[] shape)
 			Data = new DataBuffer<T>(Length);
 		}
 
-		public virtual object DeepCopy()
+	    /// <inheritdoc />
+	    public virtual object DeepCopy()
 		{
 			return new ADNDArray<T>((IDataBuffer<T>) Data.DeepCopy(), (long[]) Shape.Clone()).SetAssociatedHandler(AssociatedHandler);
 		}

From 5a4187fa7275d7149377b786a43143e8793e0376 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Wed, 5 Apr 2017 19:59:38 +0200
Subject: [PATCH 05/40] Add partial map optimiser, fix debug handler, fix
 running time reporter time scale

Add partial map optimiser, fix debug handler, fix running time reporter
time scale
---
 .../Backends/Debugging/DebugHandler.cs        | 12 ++--
 .../DiffSharpFloat32BackendHandle.cs          | 56 ++++++++++++++++++-
 .../Hooks/Reporters/RunningTimeReporter.cs    |  2 +-
 Sigma.Tests.Internals.Backend/Program.cs      | 13 +++--
 4 files changed, 70 insertions(+), 13 deletions(-)

diff --git a/Sigma.Core/Handlers/Backends/Debugging/DebugHandler.cs b/Sigma.Core/Handlers/Backends/Debugging/DebugHandler.cs
index 8453f69c..0d887008 100644
--- a/Sigma.Core/Handlers/Backends/Debugging/DebugHandler.cs
+++ b/Sigma.Core/Handlers/Backends/Debugging/DebugHandler.cs
@@ -76,8 +76,8 @@ public DebugHandler(IComputationHandler underlyingHandler, bool throwExceptionOn
 			//  kind of ugly but saves me from writing more solid property handling
 			ThrowExceptionOnReport = throwExceptionOnReport;
 			Enabled = enabled;
-			CheckNaN = false;
-			CheckInfinite = false;
+			CheckNaN = enabled;
+			CheckInfinite = enabled;
 		}
 
 		private void Report(string message, params object[] values)
@@ -108,12 +108,12 @@ private INDArray CheckNice(INDArray array, string paramName = "unspecified")
 					Report($"ndarray {paramName} has inconsistent rank ({array.Rank}) / shape (length {array.Length}).", array);
 				}
 
-				if (CheckNaN && !UnderlyingHandler.IsNaN(array))
+				if (CheckNaN && UnderlyingHandler.IsNaN(array))
 				{
 					Report($"ndarray {paramName} contains NaN values.", array);
 				}
 
-				if (CheckInfinite && !UnderlyingHandler.IsNotFinite(array))
+				if (CheckInfinite && UnderlyingHandler.IsNotFinite(array))
 				{
 					Report($"ndarray {paramName} contains infinite values.", array);
 				}
@@ -135,12 +135,12 @@ private INumber CheckNice(INumber number, string paramName = "unspecified")
 			}
 			else
 			{
-				if (CheckNaN && !UnderlyingHandler.IsNaN(number))
+				if (CheckNaN && UnderlyingHandler.IsNaN(number))
 				{
 					Report($"number {paramName} is a NaN value.", number);
 				}
 
-				if (CheckInfinite && !UnderlyingHandler.IsNotFinite(number))
+				if (CheckInfinite && UnderlyingHandler.IsNotFinite(number))
 				{
 					Report($"number {paramName} is an infinite value.", number);
 				}
diff --git a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32BackendHandle.cs b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32BackendHandle.cs
index 2e6800e0..79dda03a 100644
--- a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32BackendHandle.cs
+++ b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32BackendHandle.cs
@@ -668,6 +668,51 @@ public override ShapedDataBufferView<float> Transpose_M(ShapedDataBufferView<flo
 			return transposed;
 		}
 
+		private bool _InternalOptimisedMapOp_F_M(MapOp mapOp, ref ShapedDataBufferView<float> a)
+		{
+			if (mapOp.IsExp)
+			{
+				a = a.DeepCopy();
+				int upper = a.DataBuffer.Offset + a.DataBuffer.Length;
+				for (int i = a.DataBuffer.Offset; i < upper; i++)
+				{
+					a.DataBuffer.Data[i] = a.DataBuffer.Data[i] * a.DataBuffer.Data[i];
+				}
+
+				return true;
+			}
+			else if (mapOp.IsSqrt)
+			{
+				a = a.DeepCopy();
+				int upper = a.DataBuffer.Offset + a.DataBuffer.Length;
+				for (int i = a.DataBuffer.Offset; i < upper; i++)
+				{
+				    a.DataBuffer.Data[i] = (float) Math.Sqrt(a.DataBuffer.Data[i]);
+				}
+
+				return true;
+			}
+
+			return false;
+		}
+
+		private bool _InternalOptimisedMapOp_F_S_M(float other, MapOp mapOp, ref ShapedDataBufferView<float> a)
+		{
+			if (mapOp.IsDiv)
+			{
+				a = a.DeepCopy();
+				int upper = a.DataBuffer.Offset + a.DataBuffer.Length;
+				for (int i = a.DataBuffer.Offset; i < upper; i++)
+				{
+					a.DataBuffer.Data[i] = other / a.DataBuffer.Data[i];
+				}
+
+				return true;
+			}
+
+			return false;
+		}
+
 		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Map_F_M"/>
 		public override ShapedDataBufferView<float> Map_F_M(MapOp mapOp, FSharpFunc<float, float> f, ShapedDataBufferView<float> a)
 		{
@@ -676,6 +721,11 @@ public override ShapedDataBufferView<float> Map_F_M(MapOp mapOp, FSharpFunc<floa
 				return new ShapedDataBufferView<float>(CreateDataBuffer(new float[0]), 0L, 0L);
 			}
 
+		    if (_InternalOptimisedMapOp_F_M(mapOp, ref a))
+		    {
+		        return a;
+		    }
+
 			a = a.DeepCopy();
 
 			int upper = a.DataBuffer.Offset + a.DataBuffer.Length;
@@ -690,6 +740,11 @@ public override ShapedDataBufferView<float> Map_F_M(MapOp mapOp, FSharpFunc<floa
 		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Map_F_S_M"/>
 		public override ShapedDataBufferView<float> Map_F_S_M(float other, MapOp mapOp, FSharpFunc<float, float> function, ShapedDataBufferView<float> value)
 		{
+		    if (_InternalOptimisedMapOp_F_S_M(other, mapOp, ref value))
+		    {
+		        return value;
+		    }
+
 			return Map_F_M(mapOp, function, value);
 		}
 
@@ -702,7 +757,6 @@ public override ShapedDataBufferView<float> Map2_F_M_M(MapOp mapOp, FSharpFunc<f
 			}
 
 			b = b.DeepCopy();
-
 			for (int i = 0; i < a.Length; i++)
 			{
 				b.DataBuffer.Data[i] = f.Invoke(a.DataBuffer.Data[i + a.DataBuffer.Offset]).Invoke(b.DataBuffer.Data[i + b.DataBuffer.Offset]);
diff --git a/Sigma.Core/Training/Hooks/Reporters/RunningTimeReporter.cs b/Sigma.Core/Training/Hooks/Reporters/RunningTimeReporter.cs
index f25d8dd2..54a255cf 100644
--- a/Sigma.Core/Training/Hooks/Reporters/RunningTimeReporter.cs
+++ b/Sigma.Core/Training/Hooks/Reporters/RunningTimeReporter.cs
@@ -27,7 +27,7 @@ public class RunningTimeReporter : BaseHook
 		/// </summary>
 		/// <param name="timeStep">The time step.</param>
 		/// <param name="averageSpan">The interval span to average over.</param>
-		public RunningTimeReporter(TimeStep timeStep, int averageSpan = 4) : base(Utils.TimeStep.Every(1, timeStep.TimeScale))
+		public RunningTimeReporter(TimeStep timeStep, int averageSpan = 4) : base(timeStep)
 		{
 			DefaultTargetMode = TargetMode.Global;
 
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index ac83ab90..89ce6705 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -139,14 +139,17 @@ private static void SampleTrainerOperatorWorkerMnist()
 											+ FullyConnectedLayer.Construct(28 * 28)
 											+ FullyConnectedLayer.Construct(10) 
 											+ OutputLayer.Construct(10)
-											+ SoftMaxCrossEntropyCostLayer.Construct();
-			trainer.TrainingDataIterator = new MinibatchIterator(20, dataset);
-			trainer.Optimiser = new AdagradOptimiser(baseLearningRate: 0.02);
-			trainer.Operator = new CpuSinglethreadedOperator();
+											+ SquaredDifferenceCostLayer.Construct();
+			trainer.TrainingDataIterator = new MinibatchIterator(4, dataset);
+		    trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
+			trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.9);
+			trainer.Operator = new CpuSinglethreadedOperator(new DebugHandler(new CpuFloat32Handler(), enabled: false));
 
-			trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.25f));
+			trainer.AddInitialiser("*.weights", new XavierInitialiser(scale: 5));
 			trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01f, mean: 0.03f));
+			trainer.AddHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
 
+			trainer.AddHook(new RunningTimeReporter(TimeStep.Every(5, TimeScale.Iteration)));
 			trainer.AddGlobalHook(new CurrentEpochIterationReporter(TimeStep.Every(5, TimeScale.Iteration)));
 			trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(5, TimeScale.Iteration)));
 

From 6ac7bb4fc93ad87f1006f1f07499fab042b5962a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Thu, 6 Apr 2017 20:59:30 +0200
Subject: [PATCH 06/40] Fix SigmaDiff backend optimised exponent, fix dataset
 record block deregister, fix criteria serialisation

Fix SigmaDiff backend optimised exponent, fix dataset record block
deregister, fix criteria serialisation
---
 Sigma.Core/Data/Datasets/Dataset.cs           | 2021 +++++++++--------
 Sigma.Core/Dependencies/DiffSharp.dll         |  Bin 2148352 -> 2149888 bytes
 .../Backends/Debugging/DebugHandler.cs        |    8 +-
 .../DiffSharpFloat32BackendHandle.cs          |   20 +-
 .../Training/Hooks/HookInvokeCriteria.cs      |    1 +
 Sigma.Tests.Internals.Backend/Program.cs      |  602 ++---
 6 files changed, 1332 insertions(+), 1320 deletions(-)

diff --git a/Sigma.Core/Data/Datasets/Dataset.cs b/Sigma.Core/Data/Datasets/Dataset.cs
index d84396f4..f26923a0 100644
--- a/Sigma.Core/Data/Datasets/Dataset.cs
+++ b/Sigma.Core/Data/Datasets/Dataset.cs
@@ -21,1028 +21,1037 @@ For full license see LICENSE in the root directory of this project.
 
 namespace Sigma.Core.Data.Datasets
 {
-	/// <summary>
-	/// A default implementation of the IDataset interface. 
-	/// Provides caching of entire blocks and reader data, partial extraction, unordered extraction, automatic block sizing, smart block loading. 
-	/// </summary>
-	[Serializable] 
-	public class Dataset : IDataset, ISerialisationNotifier
-	{
-		[NonSerialized]
-		private readonly ILog _logger = LogManager.GetLogger(System.Reflection.MethodBase.GetCurrentMethod().DeclaringType);
-
-		/// <summary>
-		/// Automatically size blocks according to estimated data metrics (e.g. physical memory available, record size).
-		/// </summary>
-		public const int BlockSizeAuto = -1;
-
-		/// <summary>
-		/// Assign all available data to the first block (one block fits it all - literally).
-		/// </summary>
-		public const int BlockSizeAll = -2;
-
-		/// <inheritdoc />
-		public string Name { get; }
-
-		/// <summary>
-		/// Indicate if this dataset is an online dataset (meaning new data might be added during runtime).
-		/// By default, this is assumed to be false, indicating a static dataset.
-		/// Note: Data iterators and may perform certain optimisations for static datasets, so set this to false if possible.
-		/// </summary>
-		public bool Online { get; set; } = false;
-
-		/// <inheritdoc />
-		public int MaxConcurrentActiveBlocks { get; } = 24; //24 seems like a good number, right?
-
-		/// <inheritdoc />
-		public long MaxTotalActiveBlockSizeBytes { get; } = SystemInformationUtils.GetAvailablePhysicalMemoryBytes() / 2; //default to half the available physical memory
-
-		/// <inheritdoc />
-		public IReadOnlyCollection<int> ActiveBlockIndices => _activeBlocks.Keys.ToList();
-
-		/// <inheritdoc />
-		public int ActiveBlockRegionCount => _activeBlocks.Count;
-
-		/// <inheritdoc />
-		public int ActiveIndividualBlockCount { get { return _activeBlocks.Values.Sum(set => set.Count); } }
-
-		/// <inheritdoc />
-		public int TargetBlockSizeRecords { get; private set; }
-
-		/// <inheritdoc />
-		public string[] SectionNames { get; private set; }
-
-		/// <inheritdoc />
-		public long TotalActiveBlockSizeBytes { get; private set; }
-
-		public long TotalActiveRecords { get; private set; }
-
-		/// <inheritdoc />
-		public int MaxBlocksInCache { get; set; } = int.MaxValue;
-
-		/// <inheritdoc />
-		public long MaxBytesInCache { get; set; } = long.MaxValue;
-
-		/// <summary>
-		/// Indicate whether this dataset should cache the raw reader data. 
-		/// If disabled, only extracted data will be cached and once processed, it might be impossible to retrieve preceding record blocks (reader streams are assumed to be non-seekable).
-		/// </summary>
-		public bool AllowRawReadDataCaching { get; set; } = true;
-
-		private readonly Dictionary<int, ISet<RecordBlock>> _activeBlocks;
-		private readonly Dictionary<int, ISet<WeakRecordBlock>> _cachedBlocks;
-		private readonly ICacheProvider _cacheProvider;
-
-		private int _lastReadRawDataBlockIndex = -1;
-		private long _totalCachedBlockSizeBytes;
-		private int _lastAvailableBlockIndex = int.MaxValue;
-		private readonly ISet<IRecordExtractor> _recordExtractors;
-
-		private readonly bool _autoSetBlockSize;
-		private bool _autoSetExternalChangeBlockSize;
-
-		// TODO fix available blocks semaphore logic
-		// the waitones/releases are inconsistent, because blocks aren't always actually allocated, such as null returns are not considered
-		[NonSerialized] 
-		private Semaphore _availableBlocksSemaphore;
-		private int _availableBlocksSemaphoreState;
-
-		/// <summary>
-		/// Create a dataset with a certain unique name and the record extractors to use. 
-		/// </summary>
-		/// <param name="name">The unique dataset name.</param>
-		/// <param name="recordExtractors">The record extractors to fetch the data from, which provide the dataset with ready to use record blocks.</param>
-		public Dataset(string name, params IRecordExtractor[] recordExtractors) : this(name, BlockSizeAuto, recordExtractors)
-		{
-		}
-
-		/// <summary>
-		/// Create a dataset with a certain unique name, target block size in records and the record extractors to use.
-		/// </summary>
-		/// <param name="name">The unique dataset name.</param>
-		/// <param name="blockSizeRecords">The target block size for records. May also be <see cref="BlockSizeAuto"/> or <see cref="BlockSizeAll"/>.</param>
-		/// <param name="recordExtractors">The record extractors to fetch the data from, which provide the dataset with ready to use record blocks.</param>
-		public Dataset(string name, int blockSizeRecords, params IRecordExtractor[] recordExtractors)
-			: this(name, blockSizeRecords, new DiskCacheProvider(SigmaEnvironment.Globals.Get<string>("cache_path") + name), true, recordExtractors)
-		{
-		}
-
-		/// <summary>
-		/// Create a dataset with a certain unique name, target block size in records, specific cache provider and the record extractors to use.
-		/// </summary>
-		/// <param name="name">The unique dataset name.</param>
-		/// <param name="blockSizeRecords">The target block size for records. May also be <see cref="BlockSizeAuto"/> or <see cref="BlockSizeAll"/>.</param>
-		/// <param name="cacheProvider">The cache provider to use for caching record blocks and raw reader data.</param>
-		/// <param name="flushCache">Indicate whether the cache provider should be flushed (cleared) before use. Only disable if block size and extractors used do not change (otherwise undefined behaviour).</param>
-		/// <param name="recordExtractors">The record extractors to fetch the data from, which provide the dataset with ready to use record blocks.</param>
-		public Dataset(string name, int blockSizeRecords, ICacheProvider cacheProvider, bool flushCache = true, params IRecordExtractor[] recordExtractors)
-		{
-			if (name == null)
-			{
-				throw new ArgumentNullException(nameof(name));
-			}
-
-			if (recordExtractors == null)
-			{
-				throw new ArgumentNullException(nameof(recordExtractors));
-			}
-
-			if (recordExtractors.Length == 0)
-			{
-				throw new ArgumentException("Datasets require at least one record extractor, but none were given.");
-			}
-
-			if (cacheProvider == null)
-			{
-				throw new ArgumentNullException(nameof(cacheProvider));
-			}
-
-			switch (blockSizeRecords) {
-				case BlockSizeAll:
-					//just set to maximum amount of records, extracting returns the maximum available anyway and we can't know the actual availability yet
-					TargetBlockSizeRecords = int.MaxValue;
-					break;
-				case BlockSizeAuto:
-					//somewhat temporary guesstimate, should probably expose the individual parameters 
-					const long estimatedRecordSizeBytes = 1024;
-					const double memoryToConsume = 0.2f;
-					const long optimalNumberBlocks = 8;
-					const int maxBlockSizeRecords = 4096;
-					long availableSystemMemory = SystemInformationUtils.GetAvailablePhysicalMemoryBytes();
-
-					TargetBlockSizeRecords = Math.Min(maxBlockSizeRecords, (int) (availableSystemMemory * memoryToConsume / estimatedRecordSizeBytes / optimalNumberBlocks));
-
-					_autoSetBlockSize = true;
-					break;
-				default:
-					if (blockSizeRecords == 0 || blockSizeRecords < -2)
-					{
-						throw new ArgumentException($"Block size in records must be either BLOCK_SIZE_ALL, BLOCK_SIZE_AUTO or > 0, but given block size was {blockSizeRecords}.");
-					}
-					else
-					{
-						TargetBlockSizeRecords = blockSizeRecords;
-					}
-					break;
-			}
-
-			Name = name;
-			AnalyseExtractors(recordExtractors);
-
-			_cacheProvider = cacheProvider;
-			_recordExtractors = new HashSet<IRecordExtractor>(recordExtractors);
-
-			_availableBlocksSemaphore = new Semaphore(MaxConcurrentActiveBlocks, MaxConcurrentActiveBlocks);
-			_availableBlocksSemaphoreState = MaxConcurrentActiveBlocks;
-
-			_activeBlocks = new Dictionary<int, ISet<RecordBlock>>();
-			_cachedBlocks = new Dictionary<int, ISet<WeakRecordBlock>>();
-
-			if (flushCache)
-			{
-				_logger.Debug($"Flushing all caches for dataset \"{Name}\" as flushCache flag was set...");
-
-				InvalidateAndClearCaches();
-
-				_logger.Debug($"Done flushing all caches for dataset \"{Name}.\"");
-			}
-		}
-
-		/// <summary>
-		/// Called before this object is serialised.
-		/// </summary>
-		public void OnSerialising()
-		{
-		}
-
-		/// <summary>
-		/// Called after this object was serialised.
-		/// </summary>
-		public void OnSerialised()
-		{
-		}
-
-		/// <summary>
-		/// Called after this object was de-serialised. 
-		/// </summary>
-		public void OnDeserialised()
-		{
-			InvalidateAndClearCaches();
-			_availableBlocksSemaphore = new Semaphore(MaxConcurrentActiveBlocks - ActiveIndividualBlockCount, MaxConcurrentActiveBlocks);
-		}
-
-		public IDataset[] SplitBlockwise(params int[] parts)
-		{
-			return SplitBlockwise(this, parts);
-		}
-
-		public IDataset[] SplitRecordwise(params double[] parts)
-		{
-			return SplitRecordwise(this, parts);
-		}
-
-		public bool TrySetBlockSize(int blockSizeRecords)
-		{
-			if (blockSizeRecords == TargetBlockSizeRecords)
-			{
-				//nothing to do here
-				return true;
-			}
-
-			if (!_autoSetBlockSize)
-			{
-				_logger.Debug($"Cannot change block size as block size was not set automatically (attempted to change block size to {blockSizeRecords}.");
-
-				return false;
-			}
-
-			if (_activeBlocks.Count > 0 || _cachedBlocks.Count > 0)
-			{
-				_logger.Debug($"Cannot change block size as {_activeBlocks.Count + _cachedBlocks.Count} blocks were already fetched and are active or cached.");
-
-				return false;
-			}
-
-			if (_autoSetExternalChangeBlockSize && blockSizeRecords != TargetBlockSizeRecords)
-			{
-				_logger.Debug($"Cannot change block size to {blockSizeRecords}, block size is incompatible with another external block size change request (other request: {TargetBlockSizeRecords})");
-
-				return false;
-			}
-
-			_autoSetExternalChangeBlockSize = true;
-			TargetBlockSizeRecords = blockSizeRecords;
-
-			return true;
-		}
-
-		private void AnalyseExtractors(IEnumerable<IRecordExtractor> extractors)
-		{
-			ISet<string> sectionNames = new HashSet<string>();
-
-			int index = 0;
-			foreach (IRecordExtractor extractor in extractors)
-			{
-				if (extractor == null)
-				{
-					throw new ArgumentNullException($"Extractor at index {index} was null.");
-				}
-
-				if (extractor.SectionNames == null)
-				{
-					throw new ArgumentNullException($"Section names field in extractor {extractor} was null (field has to be set by extractor).");
-				}
-
-				string[] extractorSectionNames = extractor.SectionNames;
-
-				foreach (string sectionName in extractorSectionNames)
-				{
-					if (sectionNames.Contains(sectionName))
-					{
-						throw new ArgumentException($"Section name collision: duplicate section name {sectionName} detected for extractor {extractor}.");
-					}
-					else
-					{
-						sectionNames.Add(sectionName);
-					}
-				}
-
-				index++;
-			}
-
-			SectionNames = sectionNames.ToArray();
-		}
-
-		public int GetNumberOfLoadedInactiveCachedBlocks()
-		{
-			return _cachedBlocks.Values.SelectMany(blockSet => blockSet).Count(block => block.Loaded);
-		}
-
-		public bool CanFetchBlocksAfter(int blockIndex)
-		{
-			return blockIndex <= _lastAvailableBlockIndex;
-		}
-
-		public async Task<IDictionary<string, INDArray>> FetchBlockAsync(int blockIndex, IComputationHandler handler, bool shouldWaitUntilAvailable = true)
-		{
-			//TODO check if block even could be fetched to not waste thread resources if shouldWaitUntilAvailable is false anyway
-
-			return await Task.Run(() => FetchBlock(blockIndex, handler, shouldWaitUntilAvailable));
-		}
-
-		public IDictionary<string, INDArray> FetchBlock(int blockIndex, IComputationHandler handler, bool shouldWaitUntilAvailable = true)
-		{
-			Dictionary<string, INDArray> block = FetchBlockConstrained(blockIndex, handler);
-
-			//block could be fetched directly without violating any constraints, return successfully
-			if (block != null)
-			{
-				if (block.Count == 0)
-				{
-					throw new InvalidOperationException("Fetched block did not contain any named elements (was empty; is the extractor output correct?).");
-				}
-
-				RegisterActiveBlock(block, blockIndex, handler);
-
-				return block;
-			}
-			else
-			{
-				if (blockIndex >= _lastAvailableBlockIndex)
-				{
-					return null;
-				}
-
-				if (shouldWaitUntilAvailable)
-				{
-					_logger.Debug($"Could not directly load block with index {blockIndex} for handler {handler} and shouldWaitUntilAvailable flag is set to true, waiting for available space...");
-
-					return FetchBlockWhenAvailable(blockIndex, handler);
-				}
-				else
-				{
-					return null;
-				}
-			}
-		}
-
-		private void RegisterActiveBlock(Dictionary<string, INDArray> block, int blockIndex, IComputationHandler handler)
-		{
-			INDArray firstNamedBlock = block[block.First().Key];
-
-			if (IsBlockActive(blockIndex, handler))
-			{
-				//block already registered as active, nothing to do here
-				return;
-			}
-
-			RecordBlock recordBlock = new RecordBlock(block, blockIndex, firstNamedBlock.Shape[0],
-				handler.GetSizeBytes(block.Values.ToArray()), handler)
-			{ Loaded = true, Active = true };
-
-			lock (this)
-			{
-				TotalActiveBlockSizeBytes += recordBlock.EstimatedSizeBytes;
-				TotalActiveRecords += recordBlock.NumberRecords;
-
-				if (!_activeBlocks.ContainsKey(blockIndex))
-				{
-					_activeBlocks.Add(blockIndex, new HashSet<RecordBlock>());
-				}
-
-				_activeBlocks[blockIndex].Add(recordBlock);
-			}
-		}
-
-		private void DeregisterActiveBlock(RecordBlock recordBlock)
-		{
-			if (!IsBlockActive(recordBlock.BlockIndex, recordBlock.Handler))
-			{
-				//block that should be de-registered is not even registered
-				return;
-			}
-
-			lock (this)
-			{
-				TotalActiveBlockSizeBytes -= recordBlock.EstimatedSizeBytes;
-				TotalActiveRecords -= recordBlock.NumberRecords;
-
-				_activeBlocks[recordBlock.BlockIndex].Remove(recordBlock);
-
-				if (_activeBlocks[recordBlock.BlockIndex].Count == 0)
-				{
-					_activeBlocks.Remove(recordBlock.BlockIndex);
-				}
-			}
-		}
-
-		private void RegisterCachedBlock(Dictionary<string, INDArray> block, int blockIndex, IComputationHandler handler, bool keepReference)
-		{
-			if (IsBlockCached(blockIndex, handler))
-			{
-				//block's already cached, nothing to do here
-				return;
-			}
-
-			if (!_cachedBlocks.ContainsKey(blockIndex))
-			{
-				_cachedBlocks.Add(blockIndex, new HashSet<WeakRecordBlock>());
-			}
-
-			WeakRecordBlock recordBlock = new WeakRecordBlock(keepReference ? block : null, blockIndex, block.First().Value.Shape[0], handler.GetSizeBytes(block.Values.ToArray()), handler);
-
-			recordBlock.Loaded = false;
-
-			_cachedBlocks[blockIndex].Add(recordBlock);
-		}
-
-		/// <summary>
-		/// Invalidate and clear all caches associated with this dataset. 
-		/// WARNING: Removing cache entries may cause certain datasets to load much more slowly or even incorrectly. 
-		///			 Legitimate use cases include removing cache entries for old datasets or changing extractors. 
-		/// </summary>
-		public void InvalidateAndClearCaches()
-		{
-			_logger.Debug("Invalidating and clearing all caches...");
-
-			_cacheProvider.RemoveAll();
-			_cachedBlocks.Clear();
-			_totalCachedBlockSizeBytes = 0L;
-
-			_logger.Debug("Done invalidating and clearing all caches.");
-		}
-
-		private Dictionary<string, INDArray> FetchBlockWhenAvailable(int blockIndex, IComputationHandler handler)
-		{
-			while (true)
-			{
-				_logger.Debug($"Attempting to extract block region for request for block index {blockIndex} for handler {handler}, checking if it fits all constraints...");
-
-				Dictionary<string, INDArray> block = FetchBlockConstrained(blockIndex, handler);
-
-				//if block != null we could fetch the block successfully without violating any constraints
-				if (block != null)
-				{
-					RegisterActiveBlock(block, blockIndex, handler);
-
-					return block;
-				}
-				else
-				{
-					//we cannot retrieve any more blocks and shouldn't keep trying 
-					if (blockIndex >= _lastAvailableBlockIndex)
-					{
-						return null;
-					}
-
-					_logger.Debug($"Request for block with index {blockIndex} for handler {handler} was returned to the queue, seems to be violating constraints...");
-				}
-			}
-		}
-
-		private Dictionary<string, INDArray> FetchBlockConstrained(int blockIndex, IComputationHandler handler)
-		{
-			if (ActiveIndividualBlockCount >= MaxConcurrentActiveBlocks)
-			{
-				_logger.Debug($"Unable to fetch block due to MaxConcurrentActiveBlocks constraint of {MaxConcurrentActiveBlocks}.");
-
-				return null;
-			}
-
-			Dictionary<string, INDArray> block = LoadAndExtractBlockWhenAvailable(blockIndex, handler);
-
-			//there was nothing to load and extract, most likely end of stream
-			if (block == null)
-			{
-				return null;
-			}
-
-			long blockSizeBytes = handler.GetSizeBytes(block.Values.ToArray());
-
-			if (TotalActiveBlockSizeBytes + blockSizeBytes > MaxTotalActiveBlockSizeBytes)
-			{
-				_logger.Debug($"Unable to keep requested block {blockIndex} for handler {handler} in memory due to MaxTotalActiveBlockSizeBytes constraint of {MaxTotalActiveBlockSizeBytes} bytes (block of size {blockSizeBytes} would exceed constraint by {TotalActiveBlockSizeBytes + blockSizeBytes - MaxTotalActiveBlockSizeBytes} bytes.).");
-
-				CacheBlockConstrained(block, blockIndex, handler);
-
-				return null;
-			}
-
-			return block;
-		}
-
-		private Dictionary<string, INDArray> LoadAndExtractBlockWhenAvailable(int blockIndex, IComputationHandler handler)
-		{
-			//this method takes care of
-			//	- checking whether the index is already loaded and active and then converts it
-			//  - or checking whether the index is already cached in the right format and loads
-			//  - or if none of that, loads and extracts from the original extractors 
-
-			//check whether a block with the same index and format is already active 
-			if (_activeBlocks.ContainsKey(blockIndex))
-			{
-				Dictionary<string, INDArray> block = GetBestMatchedBlockWhenAvailable(_activeBlocks[blockIndex], handler);
-
-				if (block != null)
-				{
-					return block;
-				}
-			}
-
-			//check whether a block with the same index and format is already loaded and cached but not active
-			if (_cachedBlocks.ContainsKey(blockIndex))
-			{
-				Dictionary<string, INDArray> block = GetBestMatchedBlockWhenAvailable(_cachedBlocks[blockIndex], handler);
-
-				if (block != null)
-				{
-					return block;
-				}
-			}
-
-			lock (_cacheProvider)
-			{
-				string blockIdentifierInCache = $"extracted.{blockIndex}.{handler.DataType.Identifier}";
-
-				//check whether a block of the same index and format is cached in the cache provider
-				if (_cacheProvider.IsCached(blockIdentifierInCache))
-				{
-					Dictionary<string, INDArray> block = _cacheProvider.Load<Dictionary<string, INDArray>>(blockIdentifierInCache);
-
-					//if its != null we could read it correctly in the right format
-					if (block != null)
-					{
-						//register this cache entry as a properly loaded block in case the cache wasn't flushed and the cache map is outdated
-						RegisterCachedBlock(block, blockIndex, handler, keepReference: false);
-
-						return block;
-					}
-				}
-			}
-
-			//_availableBlocksSemaphore.WaitOne();
-			//_availableBlocksSemaphoreState--;
-
-			return LoadAndExtractRaw(blockIndex, handler);
-		}
-
-		private Dictionary<string, INDArray> GetBestMatchedBlockWhenAvailable(IEnumerable<RecordBlockBase> blocks, IComputationHandler handler)
-		{
-			RecordBlockBase bestMatchedBlock = null;
-
-			foreach (RecordBlockBase otherBlock in blocks)
-			{
-				if (otherBlock.Loaded && handler.CanConvert(otherBlock.FirstNamedBlock, otherBlock.Handler))
-				{
-					if (handler.IsInterchangeable(otherBlock.Handler))
-					{
-						//no need to look any further, we already found the perfect match and can return without conversion
-						return otherBlock.NamedBlockSections;
-					}
-
-					bestMatchedBlock = otherBlock;
-				}
-			}
-
-			if (bestMatchedBlock == null)
-			{
-				return null;
-			}
-
-			//_availableBlocksSemaphore.WaitOne();
-			//_availableBlocksSemaphoreState--;
-
-			return ConvertNamedBlocks(bestMatchedBlock.NamedBlockSections, handler);
-		}
-
-		private static Dictionary<string, INDArray> ConvertNamedBlocks(Dictionary<string, INDArray> namedBlockSections, IComputationHandler handler)
-		{
-			Dictionary<string, INDArray> convertedNamedBlocks = new Dictionary<string, INDArray>();
-
-			foreach (string name in namedBlockSections.Keys)
-			{
-				convertedNamedBlocks.Add(name, handler.Convert(namedBlockSections[name], handler));
-			}
-
-			return convertedNamedBlocks;
-		}
-
-		private Dictionary<string, INDArray> LoadAndExtractRaw(int blockIndex, IComputationHandler handler)
-		{
-			// this cannot run concurrently as cache entries can only be read and written once without wasting resources and / or corrupting cache state
-			lock (this)
-			{
-				if (blockIndex >= _lastReadRawDataBlockIndex)
-				{
-					object[] lastRawData = null;
-
-					for (int tempBlockIndex = _lastReadRawDataBlockIndex + 1; tempBlockIndex <= blockIndex; tempBlockIndex++)
-					{
-						lastRawData = LoadDirect(tempBlockIndex, handler);
-
-						//looks like we couldn't read any more blocks, maybe reached the end of the underlying source streams
-						if (lastRawData == null)
-						{
-							return null;
-						}
-
-						if (AllowRawReadDataCaching)
-						{
-							_cacheProvider.Store($"raw.{tempBlockIndex}", lastRawData);
-						}
-					}
-
-					return ExtractDirectFrom(lastRawData, blockIndex, handler);
-				}
-				else
-				{
-					if (AllowRawReadDataCaching)
-					{
-						string cacheIdentifier = $"raw.{blockIndex}";
-
-						if (!_cacheProvider.IsCached(cacheIdentifier))
-						{
-							throw new InvalidOperationException($"Unable to load cached entry for block {blockIndex} for handler {handler}, cache entry does not exist in provider {_cacheProvider}.");
-						}
-
-						return ExtractDirectFrom(_cacheProvider.Load<object[]>(cacheIdentifier), blockIndex, handler);
-					}
-					else
-					{
-						throw new InvalidOperationException($"Cannot load and extract raw block with index {blockIndex} because AllowRawReadDataCaching is set to false and last read position is at {_lastReadRawDataBlockIndex}.");
-					}
-				}
-			}
-		}
-
-		private object[] LoadDirect(int blockIndex, IComputationHandler handler)
-		{
-			IList<object> rawDataPerExtractor = new List<object>();
-
-			PrepareExtractors();
-
-			foreach (IRecordExtractor extractor in _recordExtractors)
-			{
-				object data;
-
-				lock (extractor.Reader)
-				{
-					data = extractor.Reader.Read(TargetBlockSizeRecords);
-				}
-
-				//check if block reader could read anything, if not, return null
-				if (data == null)
-				{
-					_lastAvailableBlockIndex = blockIndex - 1;
-
-					_logger.Debug($"Cannot load block {blockIndex} for handler {handler}, the underlying stream for extractor {extractor} is unable to retrieve any more records. End of stream most likely reached.");
-
-					return null;
-				}
-
-				rawDataPerExtractor.Add(data);
-			}
-
-			if (blockIndex > _lastReadRawDataBlockIndex)
-			{
-				_lastReadRawDataBlockIndex = blockIndex;
-			}
-
-			return rawDataPerExtractor.ToArray();
-		}
-
-		private Dictionary<string, INDArray> ExtractDirectFrom(object[] data, int blockIndex, IComputationHandler handler)
-		{
-			Dictionary<string, INDArray> namedBlocks = new Dictionary<string, INDArray>();
-
-			ITaskObserver prepareTask = SigmaEnvironment.TaskManager.BeginTask(TaskType.Prepare, "preparing extractors for dataset \"" + Name + "\"", indeterminate: true);
-
-			PrepareExtractors();
-
-			SigmaEnvironment.TaskManager.EndTask(prepareTask);
-
-			ITaskObserver extractTask = SigmaEnvironment.TaskManager.BeginTask(TaskType.Extract, $"extracting block {blockIndex} for dataset \"{Name}\"", indeterminate: true);
-
-			int extractorIndex = 0;
-			foreach (IRecordExtractor extractor in _recordExtractors)
-			{
-				_logger.Debug($"Extracting hierarchically from extractor {extractor} at index {extractorIndex}...");
-
-				Dictionary<string, INDArray> subNamedBlock = extractor.ExtractHierarchicalFrom(data[extractorIndex++], TargetBlockSizeRecords, handler);
+    /// <summary>
+    /// A default implementation of the IDataset interface. 
+    /// Provides caching of entire blocks and reader data, partial extraction, unordered extraction, automatic block sizing, smart block loading. 
+    /// </summary>
+    [Serializable]
+    public class Dataset : IDataset, ISerialisationNotifier
+    {
+        [NonSerialized]
+        private readonly ILog _logger = LogManager.GetLogger(System.Reflection.MethodBase.GetCurrentMethod().DeclaringType);
+
+        /// <summary>
+        /// Automatically size blocks according to estimated data metrics (e.g. physical memory available, record size).
+        /// </summary>
+        public const int BlockSizeAuto = -1;
+
+        /// <summary>
+        /// Assign all available data to the first block (one block fits it all - literally).
+        /// </summary>
+        public const int BlockSizeAll = -2;
+
+        /// <inheritdoc />
+        public string Name { get; }
+
+        /// <summary>
+        /// Indicate if this dataset is an online dataset (meaning new data might be added during runtime).
+        /// By default, this is assumed to be false, indicating a static dataset.
+        /// Note: Data iterators and may perform certain optimisations for static datasets, so set this to false if possible.
+        /// </summary>
+        public bool Online { get; set; } = false;
+
+        /// <inheritdoc />
+        public int MaxConcurrentActiveBlocks { get; } = 24; //24 seems like a good number, right?
+
+        /// <inheritdoc />
+        public long MaxTotalActiveBlockSizeBytes { get; } = SystemInformationUtils.GetAvailablePhysicalMemoryBytes() / 2; //default to half the available physical memory
+
+        /// <inheritdoc />
+        public IReadOnlyCollection<int> ActiveBlockIndices => _activeBlocks.Keys.ToList();
+
+        /// <inheritdoc />
+        public int ActiveBlockRegionCount => _activeBlocks.Count;
+
+        /// <inheritdoc />
+        public int ActiveIndividualBlockCount { get { return _activeBlocks.Values.Sum(set => set.Count); } }
+
+        /// <inheritdoc />
+        public int TargetBlockSizeRecords { get; private set; }
+
+        /// <inheritdoc />
+        public string[] SectionNames { get; private set; }
+
+        /// <inheritdoc />
+        public long TotalActiveBlockSizeBytes { get; private set; }
+
+        public long TotalActiveRecords { get; private set; }
+
+        /// <inheritdoc />
+        public int MaxBlocksInCache { get; set; } = int.MaxValue;
+
+        /// <inheritdoc />
+        public long MaxBytesInCache { get; set; } = long.MaxValue;
+
+        /// <summary>
+        /// Indicate whether this dataset should cache the raw reader data. 
+        /// If disabled, only extracted data will be cached and once processed, it might be impossible to retrieve preceding record blocks (reader streams are assumed to be non-seekable).
+        /// </summary>
+        public bool AllowRawReadDataCaching { get; set; } = true;
+
+        private readonly Dictionary<int, ISet<RecordBlock>> _activeBlocks;
+        private readonly Dictionary<int, ISet<WeakRecordBlock>> _cachedBlocks;
+        private readonly ICacheProvider _cacheProvider;
+
+        private int _lastReadRawDataBlockIndex = -1;
+        private long _totalCachedBlockSizeBytes;
+        private int _lastAvailableBlockIndex = int.MaxValue;
+        private readonly ISet<IRecordExtractor> _recordExtractors;
+
+        private readonly bool _autoSetBlockSize;
+        private bool _autoSetExternalChangeBlockSize;
+
+        // TODO fix available blocks semaphore logic
+        // the waitones/releases are inconsistent, because blocks aren't always actually allocated, such as null returns are not considered
+        [NonSerialized]
+        private Semaphore _availableBlocksSemaphore;
+        private int _availableBlocksSemaphoreState;
+
+        /// <summary>
+        /// Create a dataset with a certain unique name and the record extractors to use. 
+        /// </summary>
+        /// <param name="name">The unique dataset name.</param>
+        /// <param name="recordExtractors">The record extractors to fetch the data from, which provide the dataset with ready to use record blocks.</param>
+        public Dataset(string name, params IRecordExtractor[] recordExtractors) : this(name, BlockSizeAuto, recordExtractors)
+        {
+        }
+
+        /// <summary>
+        /// Create a dataset with a certain unique name, target block size in records and the record extractors to use.
+        /// </summary>
+        /// <param name="name">The unique dataset name.</param>
+        /// <param name="blockSizeRecords">The target block size for records. May also be <see cref="BlockSizeAuto"/> or <see cref="BlockSizeAll"/>.</param>
+        /// <param name="recordExtractors">The record extractors to fetch the data from, which provide the dataset with ready to use record blocks.</param>
+        public Dataset(string name, int blockSizeRecords, params IRecordExtractor[] recordExtractors)
+            : this(name, blockSizeRecords, new DiskCacheProvider(SigmaEnvironment.Globals.Get<string>("cache_path") + name), true, recordExtractors)
+        {
+        }
+
+        /// <summary>
+        /// Create a dataset with a certain unique name, target block size in records, specific cache provider and the record extractors to use.
+        /// </summary>
+        /// <param name="name">The unique dataset name.</param>
+        /// <param name="blockSizeRecords">The target block size for records. May also be <see cref="BlockSizeAuto"/> or <see cref="BlockSizeAll"/>.</param>
+        /// <param name="cacheProvider">The cache provider to use for caching record blocks and raw reader data.</param>
+        /// <param name="flushCache">Indicate whether the cache provider should be flushed (cleared) before use. Only disable if block size and extractors used do not change (otherwise undefined behaviour).</param>
+        /// <param name="recordExtractors">The record extractors to fetch the data from, which provide the dataset with ready to use record blocks.</param>
+        public Dataset(string name, int blockSizeRecords, ICacheProvider cacheProvider, bool flushCache = true, params IRecordExtractor[] recordExtractors)
+        {
+            if (name == null)
+            {
+                throw new ArgumentNullException(nameof(name));
+            }
+
+            if (recordExtractors == null)
+            {
+                throw new ArgumentNullException(nameof(recordExtractors));
+            }
+
+            if (recordExtractors.Length == 0)
+            {
+                throw new ArgumentException("Datasets require at least one record extractor, but none were given.");
+            }
+
+            if (cacheProvider == null)
+            {
+                throw new ArgumentNullException(nameof(cacheProvider));
+            }
+
+            switch (blockSizeRecords)
+            {
+                case BlockSizeAll:
+                    //just set to maximum amount of records, extracting returns the maximum available anyway and we can't know the actual availability yet
+                    TargetBlockSizeRecords = int.MaxValue;
+                    break;
+                case BlockSizeAuto:
+                    //somewhat temporary guesstimate, should probably expose the individual parameters 
+                    const long estimatedRecordSizeBytes = 1024;
+                    const double memoryToConsume = 0.2f;
+                    const long optimalNumberBlocks = 8;
+                    const int maxBlockSizeRecords = 4096;
+                    long availableSystemMemory = SystemInformationUtils.GetAvailablePhysicalMemoryBytes();
+
+                    TargetBlockSizeRecords = Math.Min(maxBlockSizeRecords, (int)(availableSystemMemory * memoryToConsume / estimatedRecordSizeBytes / optimalNumberBlocks));
+
+                    _autoSetBlockSize = true;
+                    break;
+                default:
+                    if (blockSizeRecords == 0 || blockSizeRecords < -2)
+                    {
+                        throw new ArgumentException($"Block size in records must be either BLOCK_SIZE_ALL, BLOCK_SIZE_AUTO or > 0, but given block size was {blockSizeRecords}.");
+                    }
+                    else
+                    {
+                        TargetBlockSizeRecords = blockSizeRecords;
+                    }
+                    break;
+            }
+
+            Name = name;
+            AnalyseExtractors(recordExtractors);
+
+            _cacheProvider = cacheProvider;
+            _recordExtractors = new HashSet<IRecordExtractor>(recordExtractors);
+
+            _availableBlocksSemaphore = new Semaphore(MaxConcurrentActiveBlocks, MaxConcurrentActiveBlocks);
+            _availableBlocksSemaphoreState = MaxConcurrentActiveBlocks;
+
+            _activeBlocks = new Dictionary<int, ISet<RecordBlock>>();
+            _cachedBlocks = new Dictionary<int, ISet<WeakRecordBlock>>();
+
+            if (flushCache)
+            {
+                _logger.Debug($"Flushing all caches for dataset \"{Name}\" as flushCache flag was set...");
+
+                InvalidateAndClearCaches();
+
+                _logger.Debug($"Done flushing all caches for dataset \"{Name}.\"");
+            }
+        }
+
+        /// <summary>
+        /// Called before this object is serialised.
+        /// </summary>
+        public void OnSerialising()
+        {
+        }
+
+        /// <summary>
+        /// Called after this object was serialised.
+        /// </summary>
+        public void OnSerialised()
+        {
+        }
+
+        /// <summary>
+        /// Called after this object was de-serialised. 
+        /// </summary>
+        public void OnDeserialised()
+        {
+            InvalidateAndClearCaches();
+            _availableBlocksSemaphore = new Semaphore(MaxConcurrentActiveBlocks - ActiveIndividualBlockCount, MaxConcurrentActiveBlocks);
+        }
+
+        public IDataset[] SplitBlockwise(params int[] parts)
+        {
+            return SplitBlockwise(this, parts);
+        }
+
+        public IDataset[] SplitRecordwise(params double[] parts)
+        {
+            return SplitRecordwise(this, parts);
+        }
+
+        public bool TrySetBlockSize(int blockSizeRecords)
+        {
+            if (blockSizeRecords == TargetBlockSizeRecords)
+            {
+                //nothing to do here
+                return true;
+            }
+
+            if (!_autoSetBlockSize)
+            {
+                _logger.Debug($"Cannot change block size as block size was not set automatically (attempted to change block size to {blockSizeRecords}.");
+
+                return false;
+            }
+
+            if (_activeBlocks.Count > 0 || _cachedBlocks.Count > 0)
+            {
+                _logger.Debug($"Cannot change block size as {_activeBlocks.Count + _cachedBlocks.Count} blocks were already fetched and are active or cached.");
+
+                return false;
+            }
+
+            if (_autoSetExternalChangeBlockSize && blockSizeRecords != TargetBlockSizeRecords)
+            {
+                _logger.Debug($"Cannot change block size to {blockSizeRecords}, block size is incompatible with another external block size change request (other request: {TargetBlockSizeRecords})");
+
+                return false;
+            }
+
+            _autoSetExternalChangeBlockSize = true;
+            TargetBlockSizeRecords = blockSizeRecords;
+
+            return true;
+        }
+
+        private void AnalyseExtractors(IEnumerable<IRecordExtractor> extractors)
+        {
+            ISet<string> sectionNames = new HashSet<string>();
+
+            int index = 0;
+            foreach (IRecordExtractor extractor in extractors)
+            {
+                if (extractor == null)
+                {
+                    throw new ArgumentNullException($"Extractor at index {index} was null.");
+                }
+
+                if (extractor.SectionNames == null)
+                {
+                    throw new ArgumentNullException($"Section names field in extractor {extractor} was null (field has to be set by extractor).");
+                }
+
+                string[] extractorSectionNames = extractor.SectionNames;
+
+                foreach (string sectionName in extractorSectionNames)
+                {
+                    if (sectionNames.Contains(sectionName))
+                    {
+                        throw new ArgumentException($"Section name collision: duplicate section name {sectionName} detected for extractor {extractor}.");
+                    }
+                    else
+                    {
+                        sectionNames.Add(sectionName);
+                    }
+                }
+
+                index++;
+            }
+
+            SectionNames = sectionNames.ToArray();
+        }
+
+        public int GetNumberOfLoadedInactiveCachedBlocks()
+        {
+            return _cachedBlocks.Values.SelectMany(blockSet => blockSet).Count(block => block.Loaded);
+        }
+
+        public bool CanFetchBlocksAfter(int blockIndex)
+        {
+            return blockIndex <= _lastAvailableBlockIndex;
+        }
+
+        public async Task<IDictionary<string, INDArray>> FetchBlockAsync(int blockIndex, IComputationHandler handler, bool shouldWaitUntilAvailable = true)
+        {
+            //TODO check if block even could be fetched to not waste thread resources if shouldWaitUntilAvailable is false anyway
+
+            return await Task.Run(() => FetchBlock(blockIndex, handler, shouldWaitUntilAvailable));
+        }
+
+        public IDictionary<string, INDArray> FetchBlock(int blockIndex, IComputationHandler handler, bool shouldWaitUntilAvailable = true)
+        {
+            Dictionary<string, INDArray> block = FetchBlockConstrained(blockIndex, handler);
+
+            //block could be fetched directly without violating any constraints, return successfully
+            if (block != null)
+            {
+                if (block.Count == 0)
+                {
+                    throw new InvalidOperationException("Fetched block did not contain any named elements (was empty; is the extractor output correct?).");
+                }
+
+                RegisterActiveBlock(block, blockIndex, handler);
+
+                return block;
+            }
+            else
+            {
+                if (blockIndex >= _lastAvailableBlockIndex)
+                {
+                    return null;
+                }
+
+                if (shouldWaitUntilAvailable)
+                {
+                    _logger.Debug($"Could not directly load block with index {blockIndex} for handler {handler} and shouldWaitUntilAvailable flag is set to true, waiting for available space...");
+
+                    return FetchBlockWhenAvailable(blockIndex, handler);
+                }
+                else
+                {
+                    return null;
+                }
+            }
+        }
+
+        private void RegisterActiveBlock(Dictionary<string, INDArray> block, int blockIndex, IComputationHandler handler)
+        {
+            INDArray firstNamedBlock = block[block.First().Key];
+
+            if (IsBlockActive(blockIndex, handler))
+            {
+                //block already registered as active, nothing to do here
+                return;
+            }
+
+            RecordBlock recordBlock = new RecordBlock(block, blockIndex, firstNamedBlock.Shape[0],
+                handler.GetSizeBytes(block.Values.ToArray()), handler)
+            { Loaded = true, Active = true };
+
+            lock (this)
+            {
+                TotalActiveBlockSizeBytes += recordBlock.EstimatedSizeBytes;
+                TotalActiveRecords += recordBlock.NumberRecords;
+
+                if (!_activeBlocks.ContainsKey(blockIndex))
+                {
+                    _activeBlocks.Add(blockIndex, new HashSet<RecordBlock>());
+                }
+
+                _activeBlocks[blockIndex].Add(recordBlock);
+            }
+        }
+
+        private void DeregisterActiveBlock(RecordBlock recordBlock)
+        {
+            if (!IsBlockActive(recordBlock.BlockIndex, recordBlock.Handler))
+            {
+                //block that should be de-registered is not even registered
+                return;
+            }
+
+            lock (this)
+            {
+                TotalActiveBlockSizeBytes -= recordBlock.EstimatedSizeBytes;
+                TotalActiveRecords -= recordBlock.NumberRecords;
+
+                _activeBlocks[recordBlock.BlockIndex].Remove(recordBlock);
+
+                if (_activeBlocks[recordBlock.BlockIndex].Count == 0)
+                {
+                    _activeBlocks.Remove(recordBlock.BlockIndex);
+                }
+            }
+        }
+
+        private void RegisterCachedBlock(Dictionary<string, INDArray> block, int blockIndex, IComputationHandler handler, bool keepReference)
+        {
+            if (IsBlockCached(blockIndex, handler))
+            {
+                //block's already cached, nothing to do here
+                return;
+            }
+
+            if (!_cachedBlocks.ContainsKey(blockIndex))
+            {
+                _cachedBlocks.Add(blockIndex, new HashSet<WeakRecordBlock>());
+            }
+
+            WeakRecordBlock recordBlock = new WeakRecordBlock(keepReference ? block : null, blockIndex, block.First().Value.Shape[0], handler.GetSizeBytes(block.Values.ToArray()), handler);
+
+            recordBlock.Loaded = false;
+
+            _cachedBlocks[blockIndex].Add(recordBlock);
+        }
+
+        /// <summary>
+        /// Invalidate and clear all caches associated with this dataset. 
+        /// WARNING: Removing cache entries may cause certain datasets to load much more slowly or even incorrectly. 
+        ///			 Legitimate use cases include removing cache entries for old datasets or changing extractors. 
+        /// </summary>
+        public void InvalidateAndClearCaches()
+        {
+            _logger.Debug("Invalidating and clearing all caches...");
+
+            _cacheProvider.RemoveAll();
+            _cachedBlocks.Clear();
+            _totalCachedBlockSizeBytes = 0L;
+
+            _logger.Debug("Done invalidating and clearing all caches.");
+        }
+
+        private Dictionary<string, INDArray> FetchBlockWhenAvailable(int blockIndex, IComputationHandler handler)
+        {
+            while (true)
+            {
+                _logger.Debug($"Attempting to extract block region for request for block index {blockIndex} for handler {handler}, checking if it fits all constraints...");
+
+                Dictionary<string, INDArray> block = FetchBlockConstrained(blockIndex, handler);
+
+                //if block != null we could fetch the block successfully without violating any constraints
+                if (block != null)
+                {
+                    RegisterActiveBlock(block, blockIndex, handler);
+
+                    return block;
+                }
+                else
+                {
+                    //we cannot retrieve any more blocks and shouldn't keep trying 
+                    if (blockIndex >= _lastAvailableBlockIndex)
+                    {
+                        return null;
+                    }
+
+                    _logger.Debug($"Request for block with index {blockIndex} for handler {handler} was returned to the queue, seems to be violating constraints...");
+                }
+            }
+        }
+
+        private Dictionary<string, INDArray> FetchBlockConstrained(int blockIndex, IComputationHandler handler)
+        {
+            if (ActiveIndividualBlockCount >= MaxConcurrentActiveBlocks)
+            {
+                _logger.Debug($"Unable to fetch block due to MaxConcurrentActiveBlocks constraint of {MaxConcurrentActiveBlocks}.");
+
+                return null;
+            }
+
+            Dictionary<string, INDArray> block = LoadAndExtractBlockWhenAvailable(blockIndex, handler);
+
+            //there was nothing to load and extract, most likely end of stream
+            if (block == null)
+            {
+                return null;
+            }
+
+            long blockSizeBytes = handler.GetSizeBytes(block.Values.ToArray());
+
+            if (TotalActiveBlockSizeBytes + blockSizeBytes > MaxTotalActiveBlockSizeBytes)
+            {
+                _logger.Debug($"Unable to keep requested block {blockIndex} for handler {handler} in memory due to MaxTotalActiveBlockSizeBytes constraint of {MaxTotalActiveBlockSizeBytes} bytes (block of size {blockSizeBytes} would exceed constraint by {TotalActiveBlockSizeBytes + blockSizeBytes - MaxTotalActiveBlockSizeBytes} bytes.).");
+
+                CacheBlockConstrained(block, blockIndex, handler);
+
+                return null;
+            }
+
+            return block;
+        }
+
+        private Dictionary<string, INDArray> LoadAndExtractBlockWhenAvailable(int blockIndex, IComputationHandler handler)
+        {
+            //this method takes care of
+            //	- checking whether the index is already loaded and active and then converts it
+            //  - or checking whether the index is already cached in the right format and loads
+            //  - or if none of that, loads and extracts from the original extractors 
+
+            //check whether a block with the same index and format is already active 
+            if (_activeBlocks.ContainsKey(blockIndex))
+            {
+                Dictionary<string, INDArray> block = GetBestMatchedBlockWhenAvailable(_activeBlocks[blockIndex], handler);
+
+                if (block != null)
+                {
+                    return block;
+                }
+            }
+
+            //check whether a block with the same index and format is already loaded and cached but not active
+            if (_cachedBlocks.ContainsKey(blockIndex))
+            {
+                Dictionary<string, INDArray> block = GetBestMatchedBlockWhenAvailable(_cachedBlocks[blockIndex], handler);
+
+                if (block != null)
+                {
+                    return block;
+                }
+            }
+
+            lock (_cacheProvider)
+            {
+                string blockIdentifierInCache = $"extracted.{blockIndex}.{handler.DataType.Identifier}";
+
+                //check whether a block of the same index and format is cached in the cache provider
+                if (_cacheProvider.IsCached(blockIdentifierInCache))
+                {
+                    Dictionary<string, INDArray> block = _cacheProvider.Load<Dictionary<string, INDArray>>(blockIdentifierInCache);
+
+                    //if its != null we could read it correctly in the right format
+                    if (block != null)
+                    {
+                        //register this cache entry as a properly loaded block in case the cache wasn't flushed and the cache map is outdated
+                        RegisterCachedBlock(block, blockIndex, handler, keepReference: false);
+
+                        return block;
+                    }
+                }
+            }
+
+            //_availableBlocksSemaphore.WaitOne();
+            //_availableBlocksSemaphoreState--;
+
+            return LoadAndExtractRaw(blockIndex, handler);
+        }
+
+        private Dictionary<string, INDArray> GetBestMatchedBlockWhenAvailable(IEnumerable<RecordBlockBase> blocks, IComputationHandler handler)
+        {
+            RecordBlockBase bestMatchedBlock = null;
+
+            foreach (RecordBlockBase otherBlock in blocks)
+            {
+                if (otherBlock.Loaded && handler.CanConvert(otherBlock.FirstNamedBlock, otherBlock.Handler))
+                {
+                    if (handler.IsInterchangeable(otherBlock.Handler))
+                    {
+                        //no need to look any further, we already found the perfect match and can return without conversion
+                        return otherBlock.NamedBlockSections;
+                    }
+
+                    bestMatchedBlock = otherBlock;
+                }
+            }
+
+            if (bestMatchedBlock == null)
+            {
+                return null;
+            }
+
+            //_availableBlocksSemaphore.WaitOne();
+            //_availableBlocksSemaphoreState--;
+
+            return ConvertNamedBlocks(bestMatchedBlock.NamedBlockSections, handler);
+        }
+
+        private static Dictionary<string, INDArray> ConvertNamedBlocks(Dictionary<string, INDArray> namedBlockSections, IComputationHandler handler)
+        {
+            Dictionary<string, INDArray> convertedNamedBlocks = new Dictionary<string, INDArray>();
+
+            foreach (string name in namedBlockSections.Keys)
+            {
+                convertedNamedBlocks.Add(name, handler.Convert(namedBlockSections[name], handler));
+            }
+
+            return convertedNamedBlocks;
+        }
+
+        private Dictionary<string, INDArray> LoadAndExtractRaw(int blockIndex, IComputationHandler handler)
+        {
+            // this cannot run concurrently as cache entries can only be read and written once without wasting resources and / or corrupting cache state
+            lock (this)
+            {
+                if (blockIndex > _lastReadRawDataBlockIndex)
+                {
+                    object[] lastRawData = null;
+
+                    for (int tempBlockIndex = _lastReadRawDataBlockIndex + 1; tempBlockIndex <= blockIndex; tempBlockIndex++)
+                    {
+                        lastRawData = LoadDirect(tempBlockIndex, handler);
+
+                        //looks like we couldn't read any more blocks, maybe reached the end of the underlying source streams
+                        if (lastRawData == null)
+                        {
+                            return null;
+                        }
+
+                        if (AllowRawReadDataCaching)
+                        {
+                            _cacheProvider.Store($"raw.{tempBlockIndex}", lastRawData);
+                        }
+                    }
+
+                    return ExtractDirectFrom(lastRawData, blockIndex, handler);
+                }
+                else
+                {
+                    if (AllowRawReadDataCaching)
+                    {
+                        string cacheIdentifier = $"raw.{blockIndex}";
+
+                        if (!_cacheProvider.IsCached(cacheIdentifier))
+                        {
+                            throw new InvalidOperationException($"Unable to load cached entry for block {blockIndex} for handler {handler}, cache entry does not exist in provider {_cacheProvider}.");
+                        }
+
+                        return ExtractDirectFrom(_cacheProvider.Load<object[]>(cacheIdentifier), blockIndex, handler);
+                    }
+                    else
+                    {
+                        throw new InvalidOperationException($"Cannot load and extract raw block with index {blockIndex} because AllowRawReadDataCaching is set to false and last read position is at {_lastReadRawDataBlockIndex}.");
+                    }
+                }
+            }
+        }
+
+        private object[] LoadDirect(int blockIndex, IComputationHandler handler)
+        {
+            IList<object> rawDataPerExtractor = new List<object>();
+
+            PrepareExtractors();
+
+            foreach (IRecordExtractor extractor in _recordExtractors)
+            {
+                object data;
+
+                lock (extractor.Reader)
+                {
+                    data = extractor.Reader.Read(TargetBlockSizeRecords);
+                }
+
+                //check if block reader could read anything, if not, return null
+                if (data == null)
+                {
+                    _lastAvailableBlockIndex = blockIndex - 1;
+
+                    _logger.Debug($"Cannot load block {blockIndex} for handler {handler}, the underlying stream for extractor {extractor} is unable to retrieve any more records. End of stream most likely reached.");
 
-				//check if block size is 0, indicating we reached the end of the stream 
-				if (subNamedBlock == null)
-				{
-					_lastAvailableBlockIndex = blockIndex - 1;
+                    return null;
+                }
 
-					_logger.Debug($"Cannot  extract block {blockIndex} for handler {handler}, the underlying stream for extractor {extractor} is unable to retrieve any more records. End of stream most likely reached.");
+                rawDataPerExtractor.Add(data);
+            }
 
-					SigmaEnvironment.TaskManager.CancelTask(extractTask);
+            if (blockIndex > _lastReadRawDataBlockIndex)
+            {
+                _lastReadRawDataBlockIndex = blockIndex;
+            }
+
+            return rawDataPerExtractor.ToArray();
+        }
+
+        private Dictionary<string, INDArray> ExtractDirectFrom(object[] data, int blockIndex, IComputationHandler handler)
+        {
+            Dictionary<string, INDArray> namedBlocks = new Dictionary<string, INDArray>();
+
+            ITaskObserver prepareTask = SigmaEnvironment.TaskManager.BeginTask(TaskType.Prepare, "preparing extractors for dataset \"" + Name + "\"", indeterminate: true);
+
+            PrepareExtractors();
+
+            SigmaEnvironment.TaskManager.EndTask(prepareTask);
+
+            ITaskObserver extractTask = SigmaEnvironment.TaskManager.BeginTask(TaskType.Extract, $"extracting block {blockIndex} for dataset \"{Name}\"", indeterminate: true);
+
+            int extractorIndex = 0;
+            foreach (IRecordExtractor extractor in _recordExtractors)
+            {
+                _logger.Debug($"Extracting hierarchically from extractor {extractor} at index {extractorIndex}...");
+
+                Dictionary<string, INDArray> subNamedBlock = extractor.ExtractHierarchicalFrom(data[extractorIndex++], TargetBlockSizeRecords, handler);
+
+                //check if block size is 0, indicating we reached the end of the stream 
+                if (subNamedBlock == null)
+                {
+                    _lastAvailableBlockIndex = blockIndex - 1;
 
-					return null;
-				}
+                    _logger.Debug($"Cannot  extract block {blockIndex} for handler {handler}, the underlying stream for extractor {extractor} is unable to retrieve any more records. End of stream most likely reached.");
 
-				foreach (string name in subNamedBlock.Keys)
-				{
-					if (namedBlocks.ContainsKey(name))
-					{
-						SigmaEnvironment.TaskManager.CancelTask(extractTask);
+                    SigmaEnvironment.TaskManager.CancelTask(extractTask);
 
-						throw new ArgumentException($"Section name collision: {name} is already used by another extractor, current extractor {extractor} cannot use it again.");
-					}
-					else
-					{
-						namedBlocks.Add(name, subNamedBlock[name]);
-					}
-				}
-			}
+                    return null;
+                }
 
-			SigmaEnvironment.TaskManager.EndTask(extractTask);
+                foreach (string name in subNamedBlock.Keys)
+                {
+                    if (namedBlocks.ContainsKey(name))
+                    {
+                        SigmaEnvironment.TaskManager.CancelTask(extractTask);
 
-			return namedBlocks;
-		}
+                        throw new ArgumentException($"Section name collision: {name} is already used by another extractor, current extractor {extractor} cannot use it again.");
+                    }
+                    else
+                    {
+                        namedBlocks.Add(name, subNamedBlock[name]);
+                    }
+                }
+            }
 
-		public void FreeBlock(int blockIndex, IComputationHandler handler)
-		{
-			if (!_activeBlocks.ContainsKey(blockIndex))
-			{
-				_logger.Debug($"Unable to free block with index {blockIndex} for handler {handler} because no block with that information is currently active.");
+            SigmaEnvironment.TaskManager.EndTask(extractTask);
 
-				return;
-			}
+            return namedBlocks;
+        }
 
-			foreach (RecordBlock block in _activeBlocks[blockIndex])
-			{
-				if (ReferenceEquals(block.Handler, handler))
-				{
-					_logger.Debug($"Freeing block with index {blockIndex} for handler {handler}...");
+        public void FreeBlock(int blockIndex, IComputationHandler handler)
+        {
+            if (!_activeBlocks.ContainsKey(blockIndex))
+            {
+                _logger.Debug($"Unable to free block with index {blockIndex} for handler {handler} because no block with that information is currently active.");
 
-					CacheBlockConstrained(block.NamedBlockSections, blockIndex, handler);
+                return;
+            }
 
-					DeregisterActiveBlock(block);
+            RecordBlock toRemove = null;
 
-					//_availableBlocksSemaphore.Release();
-					//_availableBlocksSemaphoreState++;
+            lock (this)
+            {
+                foreach (RecordBlock block in _activeBlocks[blockIndex])
+                {
+                    if (ReferenceEquals(block.Handler, handler))
+                    {
+                        _logger.Debug($"Freeing block with index {blockIndex} for handler {handler}...");
 
-					_logger.Debug($"Done freeing block with index {blockIndex} for handler {handler}.");
+                        CacheBlockConstrained(block.NamedBlockSections, blockIndex, handler);
 
-					return;
-				}
-			}
+                        //_availableBlocksSemaphore.Release();
+                        //_availableBlocksSemaphoreState++;
 
-			_logger.Debug($"Unable to free block with index {blockIndex} for handler {handler} because no block with that information is currently active.");
-		}
+                        toRemove = block;
 
-		private void CacheBlockConstrained(Dictionary<string, INDArray> block, int blockIndex, IComputationHandler handler)
-		{
-			if (_cachedBlocks.ContainsKey(blockIndex))
-			{
-				foreach (WeakRecordBlock cachedBlock in _cachedBlocks[blockIndex])
-				{
-					//check if block of the same type and size is already cached, if so, return, because there is no need to cache again
-					if (cachedBlock.BlockIndex == blockIndex && cachedBlock.Handler.IsInterchangeable(handler) && block.First().Value.Shape[0] == cachedBlock.NumberRecords)
-					{
-						_logger.Debug($"Skipping cache request of block {blockIndex} for handler {handler} because interchangeable block of same index, format and size is already cached.");
-
-						return;
-					}
-				}
-			}
-
-			long blockSizeBytes = handler.GetSizeBytes(block.Values.ToArray());
-
-			if (_cachedBlocks.Count >= MaxBlocksInCache)
-			{
-				_logger.Debug($"Unable to cache block {blockIndex} for handler {handler} due to MaxBlocksInCache constraint of {MaxBlocksInCache}.");
-
-				return;
-			}
-
-			if (blockSizeBytes + _totalCachedBlockSizeBytes >= MaxBytesInCache)
-			{
-				_logger.Debug($"Unable to cache block {blockIndex} for handler {handler} due to MaxBytesInCache constraint of {MaxBytesInCache} bytes (block of size {blockSizeBytes} would exceed constraint by {_totalCachedBlockSizeBytes + blockSizeBytes - MaxBytesInCache} bytes).");
-
-				return;
-			}
-
-			string cacheIdentifier = $"extracted.{blockIndex}.{handler.DataType.Identifier}";
-
-			_cacheProvider.Store(cacheIdentifier, block);
-
-			bool keepReference = TotalActiveBlockSizeBytes + blockSizeBytes < MaxTotalActiveBlockSizeBytes;
-
-			RegisterCachedBlock(block, blockIndex, handler, keepReference);
-
-			_totalCachedBlockSizeBytes += blockSizeBytes;
-		}
-
-		private void PrepareExtractors()
-		{
-			foreach (IRecordExtractor extractor in _recordExtractors)
-			{
-				lock (extractor)
-				{
-					extractor.Prepare();
-				}
-			}
-		}
-
-		public long GetBlockSizeBytes(int blockIndex, IComputationHandler handler)
-		{
-			if (!_activeBlocks.ContainsKey(blockIndex))
-			{
-				return -1L;
-			}
-
-			foreach (RecordBlock block in _activeBlocks[blockIndex])
-			{
-				if (ReferenceEquals(block.Handler, handler))
-				{
-					return block.EstimatedSizeBytes;
-				}
-			}
-
-			return -1L;
-		}
-
-		public bool IsBlockActive(int blockIndex)
-		{
-			return _activeBlocks.ContainsKey(blockIndex);
-		}
-
-		public bool IsBlockActive(int blockIndex, IComputationHandler handler)
-		{
-			if (!_activeBlocks.ContainsKey(blockIndex))
-			{
-				return false;
-			}
-
-			foreach (RecordBlock block in _activeBlocks[blockIndex])
-			{
-				if (ReferenceEquals(block.Handler, handler))
-				{
-					return true;
-				}
-			}
-
-			return false;
-		}
-
-		private bool IsBlockCached(int blockIndex, IComputationHandler handler)
-		{
-			if (!_cachedBlocks.ContainsKey(blockIndex))
-			{
-				return false;
-			}
-
-			foreach (WeakRecordBlock block in _cachedBlocks[blockIndex])
-			{
-				if (ReferenceEquals(block.Handler, handler))
-				{
-					return true;
-				}
-			}
-
-			return false;
-		}
-
-		public void Dispose()
-		{
-			foreach (IRecordExtractor extractor in _recordExtractors)
-			{
-				extractor.Dispose();
-				extractor.Reader?.Dispose();
-			}
-
-			_cacheProvider.Dispose();
-		}
-
-		public static IDataset[] SplitBlockwise(IDataset dataset, params int[] parts)
-		{
-			if (parts.Length == 0)
-			{
-				throw new ArgumentException("Parts cannot be an empty collection.");
-			}
-
-			int splitInterval = parts.Sum();
-			int lastEnd = 0;
-			IDataset[] slices = new IDataset[parts.Length];
-
-			for (int i = 0; i < parts.Length; i++)
-			{
-				slices[i] = new DatasetBlockwiseSlice(dataset, lastEnd, lastEnd + parts[i] - 1, splitInterval);
-				lastEnd += parts[i];
-			}
-
-			return slices;
-		}
-
-		public static IDataset[] SplitRecordwise(IDataset dataset, params double[] parts)
-		{
-			if (parts.Length == 0)
-			{
-				throw new ArgumentException("Percentages cannot be an empty collection.");
-			}
-
-			if (parts.Sum() > 1.0)
-			{
-				throw new ArgumentException($"Percentages sum cannot be > 1.0, but parts sum was {parts.Sum()}.");
-			}
-
-			IDataset[] slices = new IDataset[parts.Length];
-
-			double lastOffset = 0.0;
-
-			for (int i = 0; i < slices.Length; i++)
-			{
-				slices[i] = new DatasetRecordwiseSlice(dataset, lastOffset, parts[i]);
-
-				lastOffset += parts[i];
-			}
-
-			return slices;
-		}
-
-		internal abstract class RecordBlockBase
-		{
-			internal abstract Dictionary<string, INDArray> NamedBlockSections { get; set; }
-			internal abstract INDArray FirstNamedBlock { get; set; }
-			internal abstract bool Loaded { get; set; }
-
-			internal IComputationHandler Handler;
-			internal bool Active;
-			internal int BlockIndex;
-			internal long NumberRecords;
-			internal long EstimatedSizeBytes;
-		}
-
-		internal class RecordBlock : RecordBlockBase
-		{
-			internal sealed override Dictionary<string, INDArray> NamedBlockSections { get; set; }
-			internal sealed override INDArray FirstNamedBlock { get; set; }
-			internal override bool Loaded { get; set; }
-
-			public RecordBlock(Dictionary<string, INDArray> namedBlockSections, int blockIndex, long numberRecords, long estimatedSizeBytes, IComputationHandler handler)
-			{
-				NamedBlockSections = namedBlockSections;
-				BlockIndex = blockIndex;
-				NumberRecords = numberRecords;
-				EstimatedSizeBytes = estimatedSizeBytes;
-				Handler = handler;
-
-				//record blocks internal block can be null
-				if (namedBlockSections != null)
-				{
-					FirstNamedBlock = namedBlockSections[namedBlockSections.First().Key];
-				}
-			}
-		}
-
-		internal class WeakRecordBlock : RecordBlockBase
-		{
-			internal override Dictionary<string, INDArray> NamedBlockSections
-			{
-				get
-				{
-					Dictionary<string, INDArray> target;
-
-					return _namedBlockSections.TryGetTarget(out target) ? target : null;
-				}
-				set
-				{
-					_namedBlockSections.SetTarget(value);
-				}
-			}
-
-			internal override INDArray FirstNamedBlock
-			{
-				get
-				{
-					INDArray target;
-
-					return _firstNamedBlock.TryGetTarget(out target) ? target : null;
-				}
-				set
-				{
-					_firstNamedBlock.SetTarget(value);
-				}
-			}
-
-			internal override bool Loaded
-			{
-				get
-				{
-					Dictionary<string, INDArray> target;
-
-					return _namedBlockSections.TryGetTarget(out target);
-				}
-				set
-				{
-				}
-			}
-
-			private readonly WeakReference<Dictionary<string, INDArray>> _namedBlockSections;
-			private readonly WeakReference<INDArray> _firstNamedBlock;
-
-			public WeakRecordBlock(Dictionary<string, INDArray> namedBlockSections, int blockIndex, long numberRecords, long estimatedSizeBytes, IComputationHandler handler)
-			{
-				_namedBlockSections = new WeakReference<Dictionary<string, INDArray>>(namedBlockSections);
-				BlockIndex = blockIndex;
-				NumberRecords = numberRecords;
-				EstimatedSizeBytes = estimatedSizeBytes;
-				Handler = handler;
-
-				//record blocks internal block can be null
-				if (namedBlockSections != null)
-				{
-					_firstNamedBlock = new WeakReference<INDArray>(namedBlockSections[namedBlockSections.First().Key]);
-				}
-			}
-		}
-
-		public override string ToString()
-		{
-			return $"dataset \"{Name}\"";
-		}
-	}
+                        goto FoundBlock;
+                    }
+                }
+            }
+
+            _logger.Debug($"Unable to free block with index {blockIndex} for handler {handler} because no block with that information is currently active.");
+
+            FoundBlock:
+
+            DeregisterActiveBlock(toRemove);
+            _logger.Debug($"Done freeing block with index {blockIndex} for handler {handler}.");
+        }
+
+        private void CacheBlockConstrained(Dictionary<string, INDArray> block, int blockIndex, IComputationHandler handler)
+        {
+            if (_cachedBlocks.ContainsKey(blockIndex))
+            {
+                foreach (WeakRecordBlock cachedBlock in _cachedBlocks[blockIndex])
+                {
+                    //check if block of the same type and size is already cached, if so, return, because there is no need to cache again
+                    if (cachedBlock.BlockIndex == blockIndex && cachedBlock.Handler.IsInterchangeable(handler) && block.First().Value.Shape[0] == cachedBlock.NumberRecords)
+                    {
+                        _logger.Debug($"Skipping cache request of block {blockIndex} for handler {handler} because interchangeable block of same index, format and size is already cached.");
+
+                        return;
+                    }
+                }
+            }
+
+            long blockSizeBytes = handler.GetSizeBytes(block.Values.ToArray());
+
+            if (_cachedBlocks.Count >= MaxBlocksInCache)
+            {
+                _logger.Debug($"Unable to cache block {blockIndex} for handler {handler} due to MaxBlocksInCache constraint of {MaxBlocksInCache}.");
+
+                return;
+            }
+
+            if (blockSizeBytes + _totalCachedBlockSizeBytes >= MaxBytesInCache)
+            {
+                _logger.Debug($"Unable to cache block {blockIndex} for handler {handler} due to MaxBytesInCache constraint of {MaxBytesInCache} bytes (block of size {blockSizeBytes} would exceed constraint by {_totalCachedBlockSizeBytes + blockSizeBytes - MaxBytesInCache} bytes).");
+
+                return;
+            }
+
+            string cacheIdentifier = $"extracted.{blockIndex}.{handler.DataType.Identifier}";
+
+            _cacheProvider.Store(cacheIdentifier, block);
+
+            bool keepReference = TotalActiveBlockSizeBytes + blockSizeBytes < MaxTotalActiveBlockSizeBytes;
+
+            RegisterCachedBlock(block, blockIndex, handler, keepReference);
+
+            _totalCachedBlockSizeBytes += blockSizeBytes;
+        }
+
+        private void PrepareExtractors()
+        {
+            foreach (IRecordExtractor extractor in _recordExtractors)
+            {
+                lock (extractor)
+                {
+                    extractor.Prepare();
+                }
+            }
+        }
+
+        public long GetBlockSizeBytes(int blockIndex, IComputationHandler handler)
+        {
+            if (!_activeBlocks.ContainsKey(blockIndex))
+            {
+                return -1L;
+            }
+
+            foreach (RecordBlock block in _activeBlocks[blockIndex])
+            {
+                if (ReferenceEquals(block.Handler, handler))
+                {
+                    return block.EstimatedSizeBytes;
+                }
+            }
+
+            return -1L;
+        }
+
+        public bool IsBlockActive(int blockIndex)
+        {
+            return _activeBlocks.ContainsKey(blockIndex);
+        }
+
+        public bool IsBlockActive(int blockIndex, IComputationHandler handler)
+        {
+            if (!_activeBlocks.ContainsKey(blockIndex))
+            {
+                return false;
+            }
+
+            foreach (RecordBlock block in _activeBlocks[blockIndex])
+            {
+                if (ReferenceEquals(block.Handler, handler))
+                {
+                    return true;
+                }
+            }
+
+            return false;
+        }
+
+        private bool IsBlockCached(int blockIndex, IComputationHandler handler)
+        {
+            if (!_cachedBlocks.ContainsKey(blockIndex))
+            {
+                return false;
+            }
+
+            foreach (WeakRecordBlock block in _cachedBlocks[blockIndex])
+            {
+                if (ReferenceEquals(block.Handler, handler))
+                {
+                    return true;
+                }
+            }
+
+            return false;
+        }
+
+        public void Dispose()
+        {
+            foreach (IRecordExtractor extractor in _recordExtractors)
+            {
+                extractor.Dispose();
+                extractor.Reader?.Dispose();
+            }
+
+            _cacheProvider.Dispose();
+        }
+
+        public static IDataset[] SplitBlockwise(IDataset dataset, params int[] parts)
+        {
+            if (parts.Length == 0)
+            {
+                throw new ArgumentException("Parts cannot be an empty collection.");
+            }
+
+            int splitInterval = parts.Sum();
+            int lastEnd = 0;
+            IDataset[] slices = new IDataset[parts.Length];
+
+            for (int i = 0; i < parts.Length; i++)
+            {
+                slices[i] = new DatasetBlockwiseSlice(dataset, lastEnd, lastEnd + parts[i] - 1, splitInterval);
+                lastEnd += parts[i];
+            }
+
+            return slices;
+        }
+
+        public static IDataset[] SplitRecordwise(IDataset dataset, params double[] parts)
+        {
+            if (parts.Length == 0)
+            {
+                throw new ArgumentException("Percentages cannot be an empty collection.");
+            }
+
+            if (parts.Sum() > 1.0)
+            {
+                throw new ArgumentException($"Percentages sum cannot be > 1.0, but parts sum was {parts.Sum()}.");
+            }
+
+            IDataset[] slices = new IDataset[parts.Length];
+
+            double lastOffset = 0.0;
+
+            for (int i = 0; i < slices.Length; i++)
+            {
+                slices[i] = new DatasetRecordwiseSlice(dataset, lastOffset, parts[i]);
+
+                lastOffset += parts[i];
+            }
+
+            return slices;
+        }
+
+        internal abstract class RecordBlockBase
+        {
+            internal abstract Dictionary<string, INDArray> NamedBlockSections { get; set; }
+            internal abstract INDArray FirstNamedBlock { get; set; }
+            internal abstract bool Loaded { get; set; }
+
+            internal IComputationHandler Handler;
+            internal bool Active;
+            internal int BlockIndex;
+            internal long NumberRecords;
+            internal long EstimatedSizeBytes;
+        }
+
+        internal class RecordBlock : RecordBlockBase
+        {
+            internal sealed override Dictionary<string, INDArray> NamedBlockSections { get; set; }
+            internal sealed override INDArray FirstNamedBlock { get; set; }
+            internal override bool Loaded { get; set; }
+
+            public RecordBlock(Dictionary<string, INDArray> namedBlockSections, int blockIndex, long numberRecords, long estimatedSizeBytes, IComputationHandler handler)
+            {
+                NamedBlockSections = namedBlockSections;
+                BlockIndex = blockIndex;
+                NumberRecords = numberRecords;
+                EstimatedSizeBytes = estimatedSizeBytes;
+                Handler = handler;
+
+                //record blocks internal block can be null
+                if (namedBlockSections != null)
+                {
+                    FirstNamedBlock = namedBlockSections[namedBlockSections.First().Key];
+                }
+            }
+        }
+
+        internal class WeakRecordBlock : RecordBlockBase
+        {
+            internal override Dictionary<string, INDArray> NamedBlockSections
+            {
+                get
+                {
+                    Dictionary<string, INDArray> target;
+
+                    return _namedBlockSections.TryGetTarget(out target) ? target : null;
+                }
+                set
+                {
+                    _namedBlockSections.SetTarget(value);
+                }
+            }
+
+            internal override INDArray FirstNamedBlock
+            {
+                get
+                {
+                    INDArray target;
+
+                    return _firstNamedBlock.TryGetTarget(out target) ? target : null;
+                }
+                set
+                {
+                    _firstNamedBlock.SetTarget(value);
+                }
+            }
+
+            internal override bool Loaded
+            {
+                get
+                {
+                    Dictionary<string, INDArray> target;
+
+                    return _namedBlockSections.TryGetTarget(out target);
+                }
+                set
+                {
+                }
+            }
+
+            private readonly WeakReference<Dictionary<string, INDArray>> _namedBlockSections;
+            private readonly WeakReference<INDArray> _firstNamedBlock;
+
+            public WeakRecordBlock(Dictionary<string, INDArray> namedBlockSections, int blockIndex, long numberRecords, long estimatedSizeBytes, IComputationHandler handler)
+            {
+                _namedBlockSections = new WeakReference<Dictionary<string, INDArray>>(namedBlockSections);
+                BlockIndex = blockIndex;
+                NumberRecords = numberRecords;
+                EstimatedSizeBytes = estimatedSizeBytes;
+                Handler = handler;
+
+                //record blocks internal block can be null
+                if (namedBlockSections != null)
+                {
+                    _firstNamedBlock = new WeakReference<INDArray>(namedBlockSections[namedBlockSections.First().Key]);
+                }
+            }
+        }
+
+        public override string ToString()
+        {
+            return $"dataset \"{Name}\"";
+        }
+    }
 }
diff --git a/Sigma.Core/Dependencies/DiffSharp.dll b/Sigma.Core/Dependencies/DiffSharp.dll
index dfba877ac661e86a14586085d77761ba997da755..2490c6dc4dbe04145cd7644725e7b803ce2e05a6 100644
GIT binary patch
delta 475091
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diff --git a/Sigma.Core/Handlers/Backends/Debugging/DebugHandler.cs b/Sigma.Core/Handlers/Backends/Debugging/DebugHandler.cs
index 0d887008..ac52b11b 100644
--- a/Sigma.Core/Handlers/Backends/Debugging/DebugHandler.cs
+++ b/Sigma.Core/Handlers/Backends/Debugging/DebugHandler.cs
@@ -99,23 +99,23 @@ private INDArray CheckNice(INDArray array, string paramName = "unspecified")
 
 			if (array == null)
 			{
-				Report($"ndarray {paramName} is null.");
+				Report($"ndarray \"{paramName}\" is null.");
 			}
 			else
 			{
 				if (array.Rank != array.Shape.Length)
 				{
-					Report($"ndarray {paramName} has inconsistent rank ({array.Rank}) / shape (length {array.Length}).", array);
+					Report($"ndarray \"{paramName}\" has inconsistent rank ({array.Rank}) / shape (length {array.Length}).", array);
 				}
 
 				if (CheckNaN && UnderlyingHandler.IsNaN(array))
 				{
-					Report($"ndarray {paramName} contains NaN values.", array);
+					Report($"ndarray \"{paramName}\" contains NaN values.", array);
 				}
 
 				if (CheckInfinite && UnderlyingHandler.IsNotFinite(array))
 				{
-					Report($"ndarray {paramName} contains infinite values.", array);
+					Report($"ndarray \"{paramName}\" contains infinite values.", array);
 				}
 			}
 
diff --git a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32BackendHandle.cs b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32BackendHandle.cs
index 79dda03a..952a7102 100644
--- a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32BackendHandle.cs
+++ b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32BackendHandle.cs
@@ -676,7 +676,7 @@ private bool _InternalOptimisedMapOp_F_M(MapOp mapOp, ref ShapedDataBufferView<f
 				int upper = a.DataBuffer.Offset + a.DataBuffer.Length;
 				for (int i = a.DataBuffer.Offset; i < upper; i++)
 				{
-					a.DataBuffer.Data[i] = a.DataBuffer.Data[i] * a.DataBuffer.Data[i];
+					a.DataBuffer.Data[i] = (float) Math.Exp(a.DataBuffer.Data[i]);
 				}
 
 				return true;
@@ -687,7 +687,7 @@ private bool _InternalOptimisedMapOp_F_M(MapOp mapOp, ref ShapedDataBufferView<f
 				int upper = a.DataBuffer.Offset + a.DataBuffer.Length;
 				for (int i = a.DataBuffer.Offset; i < upper; i++)
 				{
-				    a.DataBuffer.Data[i] = (float) Math.Sqrt(a.DataBuffer.Data[i]);
+					a.DataBuffer.Data[i] = (float) Math.Sqrt(a.DataBuffer.Data[i]);
 				}
 
 				return true;
@@ -721,10 +721,10 @@ public override ShapedDataBufferView<float> Map_F_M(MapOp mapOp, FSharpFunc<floa
 				return new ShapedDataBufferView<float>(CreateDataBuffer(new float[0]), 0L, 0L);
 			}
 
-		    if (_InternalOptimisedMapOp_F_M(mapOp, ref a))
-		    {
-		        return a;
-		    }
+			if (_InternalOptimisedMapOp_F_M(mapOp, ref a))
+			{
+				return a;
+			}
 
 			a = a.DeepCopy();
 
@@ -740,10 +740,10 @@ public override ShapedDataBufferView<float> Map_F_M(MapOp mapOp, FSharpFunc<floa
 		/// <inheritdoc cref="DiffSharpBackendHandle{T}.Map_F_S_M"/>
 		public override ShapedDataBufferView<float> Map_F_S_M(float other, MapOp mapOp, FSharpFunc<float, float> function, ShapedDataBufferView<float> value)
 		{
-		    if (_InternalOptimisedMapOp_F_S_M(other, mapOp, ref value))
-		    {
-		        return value;
-		    }
+			if (_InternalOptimisedMapOp_F_S_M(other, mapOp, ref value))
+			{
+				return value;
+			}
 
 			return Map_F_M(mapOp, function, value);
 		}
diff --git a/Sigma.Core/Training/Hooks/HookInvokeCriteria.cs b/Sigma.Core/Training/Hooks/HookInvokeCriteria.cs
index 7f4a5f39..493d3328 100644
--- a/Sigma.Core/Training/Hooks/HookInvokeCriteria.cs
+++ b/Sigma.Core/Training/Hooks/HookInvokeCriteria.cs
@@ -306,6 +306,7 @@ public override string ToString()
 	/// <summary>
 	/// A threshold criteria that fires when a certain threshold is reached (once or continuously as specified). 
 	/// </summary>
+	[Serializable]
 	public class ThresholdCriteria : HookInvokeCriteria
 	{
 		/// <summary>
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index 89ce6705..5b36f84e 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -17,6 +17,7 @@
 using Sigma.Core.MathAbstract;
 using Sigma.Core.MathAbstract.Backends.SigmaDiff;
 using Sigma.Core.Monitors.Synchronisation;
+using Sigma.Core.Persistence;
 using Sigma.Core.Training;
 using Sigma.Core.Training.Hooks;
 using Sigma.Core.Training.Hooks.Reporters;
@@ -34,371 +35,372 @@
 
 namespace Sigma.Tests.Internals.Backend
 {
-	public static class Program
-	{
-		public static MinibatchIterator TrainingIterator;
-
-		private static void Main(string[] args)
-		{
-			SigmaEnvironment.EnableLogging(xml: true);
-			SigmaEnvironment.Globals["web_proxy"] = WebUtils.GetProxyFromFileOrDefault(".customproxy");
-
-			SampleTrainerOperatorWorkerMnist();
-
-			Console.WriteLine("Program ended, waiting for termination, press any key...");
-			Console.ReadKey();
-		}
-
-		private static void SampleTrainerOperatorWorkerIris()
-		{
-			SigmaEnvironment sigma = SigmaEnvironment.Create("trainer_test");
-
-			sigma.Prepare();
-
-			var irisReader = new CsvRecordReader(new MultiSource(new FileSource("iris.data"), new UrlSource("http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data")));
-			IRecordExtractor irisExtractor = irisReader.Extractor("inputs", new[] { 0, 3 }, "targets", 4).AddValueMapping(4, "Iris-setosa", "Iris-versicolor", "Iris-virginica")
-														.Preprocess(new OneHotPreprocessor(sectionName: "targets", minValue: 0, maxValue: 2))
-														.Preprocess(new AdaptiveNormalisingPreprocessor(minOutputValue: 0.0, maxOutputValue: 1.0));
-
-			IDataset dataset = new Dataset("iris", Dataset.BlockSizeAuto, irisExtractor);
-
-			ITrainer trainer = sigma.CreateGhostTrainer("test");
-
-			trainer.Network = new Network();
-			trainer.Network.Architecture = InputLayer.Construct(4)
-											+ FullyConnectedLayer.Construct(12)
-											+ FullyConnectedLayer.Construct(10)
-											+ FullyConnectedLayer.Construct(3)
-											+ OutputLayer.Construct(3)
-											+ SoftMaxCrossEntropyCostLayer.Construct();
-			trainer.TrainingDataIterator = new MinibatchIterator(4, dataset);
-			trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
-			trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.9);
-			trainer.Operator = new CpuSinglethreadedOperator(new DebugHandler(new CpuFloat32Handler()));
-
-			trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.2));
-			trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.1, mean: 0.0));
-
-			trainer.AddGlobalHook(new StopTrainingHook(atEpoch: 100));
-			//trainer.AddLocalHook(new EarlyStopperHook("optimiser.cost_total", 20, target: ExtremaTarget.Min));
-			trainer.AddHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch)));
-			trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));
-			trainer.AddHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
-
-			//trainer.AddGlobalHook(new CurrentEpochIterationReporter(TimeStep.Every(1, TimeScale.Epoch)));
-
-			//Serialisation.WriteBinaryFile(trainer, "trainer.sgtrainer");
-			//trainer = Serialisation.ReadBinaryFile<ITrainer>("trainer.sgtrainer");
-
-			sigma.AddTrainer(trainer);
-
-			//trainer.Operator.InvokeCommand(new TestCommand(() => { throw new NotImplementedException(); }, "optimiser.learning_rate"));
-			trainer.Operator.InvokeCommand(new SetValueCommand("optimiser.learning_rate", 0.02d, () => {/* finished */}));
-
-			sigma.Run();
-		}
-
-		[Serializable]
-		private class TestCommand : BaseCommand
-		{
-			private readonly ILog _log = LogManager.GetLogger(typeof(TestCommand));
-			public TestCommand(Action onFinish = null, params string[] requiredRegistryEntries) : base(onFinish, requiredRegistryEntries)
-			{
-				_log.Info("Test command created");
-			}
+    public static class Program
+    {
+        public static MinibatchIterator TrainingIterator;
+
+        private static void Main(string[] args)
+        {
+            SigmaEnvironment.EnableLogging(xml: true);
+            SigmaEnvironment.Globals["web_proxy"] = WebUtils.GetProxyFromFileOrDefault(".customproxy");
+
+            SampleTrainerOperatorWorkerIris();
+
+            Console.WriteLine("Program ended, waiting for termination, press any key...");
+            Console.ReadKey();
+        }
+
+        private static void SampleTrainerOperatorWorkerIris()
+        {
+            SigmaEnvironment sigma = SigmaEnvironment.Create("trainer_test");
+
+            sigma.Prepare();
+
+            var irisReader = new CsvRecordReader(new MultiSource(new FileSource("iris.data"), new UrlSource("http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data")));
+            IRecordExtractor irisExtractor = irisReader.Extractor("inputs", new[] { 0, 3 }, "targets", 4).AddValueMapping(4, "Iris-setosa", "Iris-versicolor", "Iris-virginica")
+                                                        .Preprocess(new OneHotPreprocessor(sectionName: "targets", minValue: 0, maxValue: 2))
+                                                        .Preprocess(new AdaptiveNormalisingPreprocessor(minOutputValue: 0.0, maxOutputValue: 1.0));
+
+            IDataset dataset = new Dataset("iris", Dataset.BlockSizeAuto, irisExtractor);
+
+            ITrainer trainer = sigma.CreateGhostTrainer("test");
+
+            trainer.Network = new Network();
+            trainer.Network.Architecture = InputLayer.Construct(4)
+                                            + FullyConnectedLayer.Construct(12)
+                                            + FullyConnectedLayer.Construct(10)
+                                            + FullyConnectedLayer.Construct(3)
+                                            + OutputLayer.Construct(3)
+                                            + SoftMaxCrossEntropyCostLayer.Construct();
+            trainer.TrainingDataIterator = new MinibatchIterator(4, dataset);
+            trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
+            trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.9);
+            trainer.Operator = new CpuSinglethreadedOperator(new DebugHandler(new CpuFloat32Handler()));
+
+            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.2));
+            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.1, mean: 0.0));
+
+            trainer.AddGlobalHook(new StopTrainingHook(atEpoch: 100));
+            //trainer.AddLocalHook(new EarlyStopperHook("optimiser.cost_total", 20, target: ExtremaTarget.Min));
+            trainer.AddHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch)));
+            trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));
+            trainer.AddHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
+
+            //trainer.AddGlobalHook(new CurrentEpochIterationReporter(TimeStep.Every(1, TimeScale.Epoch)));
+
+            Serialisation.WriteBinaryFile(trainer, "trainer.sgtrainer");
+            trainer = Serialisation.ReadBinaryFile<ITrainer>("trainer.sgtrainer");
+
+            sigma.AddTrainer(trainer);
+
+            //trainer.Operator.InvokeCommand(new TestCommand(() => { throw new NotImplementedException(); }, "optimiser.learning_rate"));
+            trainer.Operator.InvokeCommand(new SetValueCommand("optimiser.learning_rate", 0.02d, () => {/* finished */}));
+
+            sigma.Run();
+        }
+
+        [Serializable]
+        private class TestCommand : BaseCommand
+        {
+            private readonly ILog _log = LogManager.GetLogger(typeof(TestCommand));
+            public TestCommand(Action onFinish = null, params string[] requiredRegistryEntries) : base(onFinish, requiredRegistryEntries)
+            {
+                _log.Info("Test command created");
+            }
+
+            /// <summary>
+            /// Invoke this hook with a certain parameter registry if optional conditional criteria are satisfied.
+            /// </summary>
+            /// <param name="registry">The registry containing the required values for this hook's execution.</param>
+            /// <param name="resolver">A helper resolver for complex registry entries (automatically cached).</param>
+            public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
+            {
+                _log.Info("Test command invoked");
+                //resolver.ResolveSet("optimiser.learning_rate", 10);
+            }
+        }
 
-			/// <summary>
-			/// Invoke this hook with a certain parameter registry if optional conditional criteria are satisfied.
-			/// </summary>
-			/// <param name="registry">The registry containing the required values for this hook's execution.</param>
-			/// <param name="resolver">A helper resolver for complex registry entries (automatically cached).</param>
-			public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
-			{
-				_log.Info("Test command invoked");
-				//resolver.ResolveSet("optimiser.learning_rate", 10);
-			}
-		}
+        private static void SampleTrainerOperatorWorkerMnist()
+        {
+            SigmaEnvironment sigma = SigmaEnvironment.Create("trainer_test");
 
-		private static void SampleTrainerOperatorWorkerMnist()
-		{
-			SigmaEnvironment sigma = SigmaEnvironment.Create("trainer_test");
+            sigma.Prepare();
 
-			sigma.Prepare();
+            ByteRecordReader mnistImageReader = new ByteRecordReader(headerLengthBytes: 16, recordSizeBytes: 28 * 28, source: new CompressedSource(new MultiSource(new FileSource("train-images-idx3-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz"))));
+            IRecordExtractor mnistImageExtractor = mnistImageReader.Extractor("inputs", new[] { 0L, 0L }, new[] { 28L, 28L }).Preprocess(new NormalisingPreprocessor(0, 255));
 
-			ByteRecordReader mnistImageReader = new ByteRecordReader(headerLengthBytes: 16, recordSizeBytes: 28 * 28, source: new CompressedSource(new MultiSource(new FileSource("train-images-idx3-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz"))));
-			IRecordExtractor mnistImageExtractor = mnistImageReader.Extractor("inputs", new[] { 0L, 0L }, new[] { 28L, 28L }).Preprocess(new NormalisingPreprocessor(0, 255));
+            ByteRecordReader mnistTargetReader = new ByteRecordReader(headerLengthBytes: 8, recordSizeBytes: 1, source: new CompressedSource(new MultiSource(new FileSource("train-labels-idx1-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"))));
+            IRecordExtractor mnistTargetExtractor = mnistTargetReader.Extractor("targets", new[] { 0L }, new[] { 1L }).Preprocess(new OneHotPreprocessor(minValue: 0, maxValue: 9));
 
-			ByteRecordReader mnistTargetReader = new ByteRecordReader(headerLengthBytes: 8, recordSizeBytes: 1, source: new CompressedSource(new MultiSource(new FileSource("train-labels-idx1-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"))));
-			IRecordExtractor mnistTargetExtractor = mnistTargetReader.Extractor("targets", new[] { 0L }, new[] { 1L }).Preprocess(new OneHotPreprocessor(minValue: 0, maxValue: 9));
+            IDataset dataset = new Dataset("mnist-training", Dataset.BlockSizeAuto, mnistImageExtractor, mnistTargetExtractor);
+            ITrainer trainer = sigma.CreateTrainer("test");
 
-			IDataset dataset = new Dataset("mnist-training", Dataset.BlockSizeAuto, mnistImageExtractor, mnistTargetExtractor);
-			ITrainer trainer = sigma.CreateTrainer("test");
+            trainer.Network = new Network();
+            trainer.Network.Architecture = InputLayer.Construct(28, 28)
+                                            + FullyConnectedLayer.Construct(28 * 28)
+                                            + FullyConnectedLayer.Construct(10)
+                                            + OutputLayer.Construct(10)
+                                            + SquaredDifferenceCostLayer.Construct();
+            trainer.TrainingDataIterator = new MinibatchIterator(4, dataset);
+            trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
+            trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.9);
+            trainer.Operator = new CpuSinglethreadedOperator(new DebugHandler(new CpuFloat32Handler(), enabled: false));
 
-			trainer.Network = new Network();
-			trainer.Network.Architecture = InputLayer.Construct(28, 28)
-											+ FullyConnectedLayer.Construct(28 * 28)
-											+ FullyConnectedLayer.Construct(10) 
-											+ OutputLayer.Construct(10)
-											+ SquaredDifferenceCostLayer.Construct();
-			trainer.TrainingDataIterator = new MinibatchIterator(4, dataset);
-		    trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
-			trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.9);
-			trainer.Operator = new CpuSinglethreadedOperator(new DebugHandler(new CpuFloat32Handler(), enabled: false));
+            trainer.AddInitialiser("*.weights", new XavierInitialiser(scale: 5));
+            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01f, mean: 0.03f));
+            trainer.AddHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
 
-			trainer.AddInitialiser("*.weights", new XavierInitialiser(scale: 5));
-			trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01f, mean: 0.03f));
-			trainer.AddHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
+            trainer.AddHook(new RunningTimeReporter(TimeStep.Every(5, TimeScale.Iteration)));
+            trainer.AddGlobalHook(new CurrentEpochIterationReporter(TimeStep.Every(5, TimeScale.Iteration)));
+            trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(5, TimeScale.Iteration)));
+            trainer.AddGlobalHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: new[] { 1 }));
+
+            sigma.Run();
+        }
+
+        private static void SampleCachedFastIteration()
+        {
+            SigmaEnvironment sigma = SigmaEnvironment.Create("test");
+
+            IDataSource dataSource = new CompressedSource(new MultiSource(new FileSource("train-images-idx3-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz")));
+
+            ByteRecordReader mnistImageReader = new ByteRecordReader(headerLengthBytes: 16, recordSizeBytes: 28 * 28, source: dataSource);
+            IRecordExtractor mnistImageExtractor = mnistImageReader.Extractor("inputs", new[] { 0L, 0L }, new[] { 28L, 28L }).Preprocess(new NormalisingPreprocessor(0, 255));
+
+            IDataset dataset = new Dataset("mnist-training", Dataset.BlockSizeAuto, mnistImageExtractor);
+            IDataset[] slices = dataset.SplitRecordwise(0.8, 0.2);
+            IDataset trainingData = slices[0];
+
+            Stopwatch stopwatch = Stopwatch.StartNew();
+
+            IDataIterator iterator = new MinibatchIterator(10, trainingData);
+            foreach (var block in iterator.Yield(new CpuFloat32Handler(), sigma))
+            {
+                //PrintFormattedBlock(block, PrintUtils.AsciiGreyscalePalette);
+            }
 
-			trainer.AddHook(new RunningTimeReporter(TimeStep.Every(5, TimeScale.Iteration)));
-			trainer.AddGlobalHook(new CurrentEpochIterationReporter(TimeStep.Every(5, TimeScale.Iteration)));
-			trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(5, TimeScale.Iteration)));
+            Console.Write("\nFirst iteration took " + stopwatch.Elapsed + "\n+=+ Iterating over dataset again +=+ Dramatic pause...");
 
-			sigma.Run();
-		}
-
-		private static void SampleCachedFastIteration()
-		{
-			SigmaEnvironment sigma = SigmaEnvironment.Create("test");
-
-			IDataSource dataSource = new CompressedSource(new MultiSource(new FileSource("train-images-idx3-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz")));
-
-			ByteRecordReader mnistImageReader = new ByteRecordReader(headerLengthBytes: 16, recordSizeBytes: 28 * 28, source: dataSource);
-			IRecordExtractor mnistImageExtractor = mnistImageReader.Extractor("inputs", new[] { 0L, 0L }, new[] { 28L, 28L }).Preprocess(new NormalisingPreprocessor(0, 255));
-
-			IDataset dataset = new Dataset("mnist-training", Dataset.BlockSizeAuto, mnistImageExtractor);
-			IDataset[] slices = dataset.SplitRecordwise(0.8, 0.2);
-			IDataset trainingData = slices[0];
-
-			Stopwatch stopwatch = Stopwatch.StartNew();
-
-			IDataIterator iterator = new MinibatchIterator(10, trainingData);
-			foreach (var block in iterator.Yield(new CpuFloat32Handler(), sigma))
-			{
-				//PrintFormattedBlock(block, PrintUtils.AsciiGreyscalePalette);
-			}
+            ArrayUtils.Range(1, 10).ToList().ForEach(i =>
+            {
+                Thread.Sleep(500);
+                Console.Write(".");
+            });
 
-			Console.Write("\nFirst iteration took " + stopwatch.Elapsed + "\n+=+ Iterating over dataset again +=+ Dramatic pause...");
+            stopwatch.Restart();
 
-			ArrayUtils.Range(1, 10).ToList().ForEach(i =>
-			{
-				Thread.Sleep(500);
-				Console.Write(".");
-			});
+            foreach (var block in iterator.Yield(new CpuFloat32Handler(), sigma))
+            {
+                //PrintFormattedBlock(block, PrintUtils.AsciiGreyscalePalette);
+            }
 
-			stopwatch.Restart();
+            Console.WriteLine("Second iteration took " + stopwatch.Elapsed);
+        }
+
+        private static void SampleDotProduct()
+        {
+            IComputationHandler handler = new CpuFloat32Handler();
+
+            INDArray a = handler.NDArray(ArrayUtils.Range(1, 6), 3, 2);
+            INDArray b = handler.NDArray(ArrayUtils.Range(1, 6), 2, 3);
+
+            Console.WriteLine("a = " + ArrayUtils.ToString(a, (ADNDArray<float>.ToStringElement)null, 0, true));
+            Console.WriteLine("b = " + ArrayUtils.ToString(b, (ADNDArray<float>.ToStringElement)null, 0, true));
 
-			foreach (var block in iterator.Yield(new CpuFloat32Handler(), sigma))
-			{
-				//PrintFormattedBlock(block, PrintUtils.AsciiGreyscalePalette);
-			}
+            INDArray c = handler.Dot(a, b);
 
-			Console.WriteLine("Second iteration took " + stopwatch.Elapsed);
-		}
+            Console.WriteLine("c = " + ArrayUtils.ToString(c, (ADNDArray<float>.ToStringElement)null, 0, true));
+        }
 
-		private static void SampleDotProduct()
-		{
-			IComputationHandler handler = new CpuFloat32Handler();
-
-			INDArray a = handler.NDArray(ArrayUtils.Range(1, 6), 3, 2);
-			INDArray b = handler.NDArray(ArrayUtils.Range(1, 6), 2, 3);
-
-			Console.WriteLine("a = " + ArrayUtils.ToString(a, (ADNDArray<float>.ToStringElement) null, 0, true));
-			Console.WriteLine("b = " + ArrayUtils.ToString(b, (ADNDArray<float>.ToStringElement) null, 0, true));
+        private static void SampleNetworkMerging()
+        {
+            SigmaEnvironment sigma = SigmaEnvironment.Create("merge_test");
 
-			INDArray c = handler.Dot(a, b);
+            ITrainer[] trainers = new ITrainer[3];
+            int[] constantValues = { 2, 10, 70 };
 
-			Console.WriteLine("c = " + ArrayUtils.ToString(c, (ADNDArray<float>.ToStringElement) null, 0, true));
-		}
+            //INetworkMerger merger = new WeightedNetworkMerger(10d, 10d, 1d);
+            INetworkMerger merger = new AverageNetworkMerger();
+            IComputationHandler handler = new CpuFloat32Handler();
 
-		private static void SampleNetworkMerging()
-		{
-			SigmaEnvironment sigma = SigmaEnvironment.Create("merge_test");
+            for (int i = 0; i < trainers.Length; i++)
+            {
+                trainers[i] = sigma.CreateTrainer($"MergeTrainer{i}");
+                trainers[i].Network = new Network($"{i}");
+                trainers[i].Network.Architecture = InputLayer.Construct(2, 2) + ElementwiseLayer.Construct(2 * 2) + OutputLayer.Construct(2);
 
-			ITrainer[] trainers = new ITrainer[3];
-			int[] constantValues = { 2, 10, 70 };
+                trainers[i].AddInitialiser("*.weights", new ConstantValueInitialiser(constantValues[i]));
 
-			//INetworkMerger merger = new WeightedNetworkMerger(10d, 10d, 1d);
-			INetworkMerger merger = new AverageNetworkMerger();
-			IComputationHandler handler = new CpuFloat32Handler();
+                trainers[i].Operator = new CpuMultithreadedOperator(5);
+                trainers[i].Initialise(handler);
+            }
 
-			for (int i = 0; i < trainers.Length; i++)
-			{
-				trainers[i] = sigma.CreateTrainer($"MergeTrainer{i}");
-				trainers[i].Network = new Network($"{i}");
-				trainers[i].Network.Architecture = InputLayer.Construct(2, 2) + ElementwiseLayer.Construct(2 * 2) + OutputLayer.Construct(2);
+            foreach (ITrainer trainer in trainers)
+            {
+                Console.WriteLine(trainer.Network.Registry);
+            }
 
-				trainers[i].AddInitialiser("*.weights", new ConstantValueInitialiser(constantValues[i]));
+            merger.AddMergeEntry("layers.*.weights");
+            merger.Merge(trainers[1].Network, trainers[2].Network, handler);
 
-				trainers[i].Operator = new CpuMultithreadedOperator(5);
-				trainers[i].Initialise(handler);
-			}
+            Console.WriteLine("*******************");
+            foreach (ITrainer trainer in trainers)
+            {
+                Console.WriteLine(trainer.Network.Registry);
+            }
+        }
 
-			foreach (ITrainer trainer in trainers)
-			{
-				Console.WriteLine(trainer.Network.Registry);
-			}
+        private static void SampleNetworkArchitecture()
+        {
+            SigmaEnvironment sigma = SigmaEnvironment.Create("test");
 
-			merger.AddMergeEntry("layers.*.weights");
-			merger.Merge(trainers[1].Network, trainers[2].Network, handler);
+            IComputationHandler handler = new CpuFloat32Handler();
+            ITrainer trainer = sigma.CreateTrainer("test_trainer");
+            trainer.Network = new Network();
+            trainer.Network.Architecture = InputLayer.Construct(2, 2) +
+                                            ElementwiseLayer.Construct(2 * 2) +
+                                            FullyConnectedLayer.Construct(2) +
+                                            2 * (FullyConnectedLayer.Construct(4) + FullyConnectedLayer.Construct(2)) +
+                                            OutputLayer.Construct(2);
+            trainer.Network = (INetwork)trainer.Network.DeepCopy();
 
-			Console.WriteLine("*******************");
-			foreach (ITrainer trainer in trainers)
-			{
-				Console.WriteLine(trainer.Network.Registry);
-			}
-		}
+            trainer.Operator = new CpuMultithreadedOperator(10);
 
-		private static void SampleNetworkArchitecture()
-		{
-			SigmaEnvironment sigma = SigmaEnvironment.Create("test");
+            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.1f));
+            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01f, mean: 0.03f));
+            trainer.Initialise(handler);
 
-			IComputationHandler handler = new CpuFloat32Handler();
-			ITrainer trainer = sigma.CreateTrainer("test_trainer");
-			trainer.Network = new Network();
-			trainer.Network.Architecture = InputLayer.Construct(2, 2) +
-											ElementwiseLayer.Construct(2 * 2) +
-											FullyConnectedLayer.Construct(2) +
-											2 * (FullyConnectedLayer.Construct(4) + FullyConnectedLayer.Construct(2)) +
-											OutputLayer.Construct(2);
-			trainer.Network = (INetwork) trainer.Network.DeepCopy();
+            trainer.Network = (INetwork)trainer.Network.DeepCopy();
 
-			trainer.Operator = new CpuMultithreadedOperator(10);
+            Console.WriteLine(trainer.Network.Registry);
 
-			trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.1f));
-			trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01f, mean: 0.03f));
-			trainer.Initialise(handler);
+            IRegistryResolver resolver = new RegistryResolver(trainer.Network.Registry);
 
-			trainer.Network = (INetwork) trainer.Network.DeepCopy();
+            Console.WriteLine("===============");
+            object[] weights = resolver.ResolveGet<object>("layers.*.weights");
+            Console.WriteLine(string.Join("\n", weights));
+            Console.WriteLine("===============");
 
-			Console.WriteLine(trainer.Network.Registry);
 
-			IRegistryResolver resolver = new RegistryResolver(trainer.Network.Registry);
 
-			Console.WriteLine("===============");
-			object[] weights = resolver.ResolveGet<object>("layers.*.weights");
-			Console.WriteLine(string.Join("\n", weights));
-			Console.WriteLine("===============");
+            //foreach (ILayerBuffer buffer in trainer.Network.YieldLayerBuffersOrdered())
+            //{
+            //      Console.WriteLine(buffer.Layer.Name + ": ");
 
+            //      Console.WriteLine("inputs:");
+            //      foreach (string input in buffer.Inputs.Keys)
+            //      {
+            //              Console.WriteLine($"\t{input}: {buffer.Inputs[input].GetHashCode()}");
+            //      }
 
+            //      Console.WriteLine("outputs:");
+            //      foreach (string output in buffer.Outputs.Keys)
+            //      {
+            //              Console.WriteLine($"\t{output}: {buffer.Outputs[output].GetHashCode()}");
+            //      }
+            //}
+        }
 
-			//foreach (ILayerBuffer buffer in trainer.Network.YieldLayerBuffersOrdered())
-			//{
-			//      Console.WriteLine(buffer.Layer.Name + ": ");
+        private static void SampleAutomaticDifferentiation()
+        {
+            IComputationHandler handler = new CpuFloat32Handler();
 
-			//      Console.WriteLine("inputs:");
-			//      foreach (string input in buffer.Inputs.Keys)
-			//      {
-			//              Console.WriteLine($"\t{input}: {buffer.Inputs[input].GetHashCode()}");
-			//      }
+            uint traceTag = handler.BeginTrace();
 
-			//      Console.WriteLine("outputs:");
-			//      foreach (string output in buffer.Outputs.Keys)
-			//      {
-			//              Console.WriteLine($"\t{output}: {buffer.Outputs[output].GetHashCode()}");
-			//      }
-			//}
-		}
+            INDArray array = handler.NDArray(ArrayUtils.Range(1, 6), 2, 3);
+            INumber a = handler.Number(-1.0f), b = handler.Number(3.0f);
 
-		private static void SampleAutomaticDifferentiation()
-		{
-			IComputationHandler handler = new CpuFloat32Handler();
+            INumber c = handler.Trace(handler.Add(a, b), traceTag);
+            INumber d = handler.Multiply(c, 2);
+            INumber e = handler.Add(d, handler.Add(c, 3));
+            INumber f = handler.SquareRoot(e);
 
-			uint traceTag = handler.BeginTrace();
+            array = handler.Multiply(array, f);
 
-			INDArray array = handler.NDArray(ArrayUtils.Range(1, 6), 2, 3);
-			INumber a = handler.Number(-1.0f), b = handler.Number(3.0f);
+            INumber cost = handler.Divide(handler.Sum(array), array.Length);
 
-			INumber c = handler.Trace(handler.Add(a, b), traceTag);
-			INumber d = handler.Multiply(c, 2);
-			INumber e = handler.Add(d, handler.Add(c, 3));
-			INumber f = handler.SquareRoot(e);
+            Console.WriteLine("cost: " + cost);
 
-			array = handler.Multiply(array, f);
+            handler.ComputeDerivativesTo(cost);
 
-			INumber cost = handler.Divide(handler.Sum(array), array.Length);
+            Console.WriteLine(array);
+            Console.WriteLine("f: " + handler.GetDerivative(f));
+            Console.WriteLine("e: " + handler.GetDerivative(e));
+            Console.WriteLine("d: " + handler.GetDerivative(d));
+            Console.WriteLine("c: " + handler.GetDerivative(c));
+            Console.WriteLine("a: " + handler.GetDerivative(array));
 
-			Console.WriteLine("cost: " + cost);
+            handler.ComputeDerivativesTo(f);
 
-			handler.ComputeDerivativesTo(cost);
+            Console.WriteLine("f: " + handler.GetDerivative(f));
+            Console.WriteLine("e: " + handler.GetDerivative(e));
+            Console.WriteLine("d: " + handler.GetDerivative(d));
+            Console.WriteLine("c: " + handler.GetDerivative(c));
+            Console.WriteLine("a: " + handler.GetDerivative(array));
+        }
 
-			Console.WriteLine(array);
-			Console.WriteLine("f: " + handler.GetDerivative(f));
-			Console.WriteLine("e: " + handler.GetDerivative(e));
-			Console.WriteLine("d: " + handler.GetDerivative(d));
-			Console.WriteLine("c: " + handler.GetDerivative(c));
-			Console.WriteLine("a: " + handler.GetDerivative(array));
+        private static void SampleLoadExtractIterate()
+        {
+            SigmaEnvironment sigma = SigmaEnvironment.Create("test");
 
-			handler.ComputeDerivativesTo(f);
+            sigma.Prepare();
 
-			Console.WriteLine("f: " + handler.GetDerivative(f));
-			Console.WriteLine("e: " + handler.GetDerivative(e));
-			Console.WriteLine("d: " + handler.GetDerivative(d));
-			Console.WriteLine("c: " + handler.GetDerivative(c));
-			Console.WriteLine("a: " + handler.GetDerivative(array));
-		}
+            //var irisReader = new CsvRecordReader(new MultiSource(new FileSource("iris.data"), new UrlSource("http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data")));
+            //IRecordExtractor irisExtractor = irisReader.Extractor("inputs2", new[] { 0, 3 }, "targets2", 4).AddValueMapping(4, "Iris-setosa", "Iris-versicolor", "Iris-virginica");
+            //irisExtractor = irisExtractor.Preprocess(new OneHotPreprocessor(sectionName: "targets2", minValue: 0, maxValue: 2), new NormalisingPreprocessor(sectionNames: "inputs2", minInputValue: 0, maxInputValue: 6));
 
-		private static void SampleLoadExtractIterate()
-		{
-			SigmaEnvironment sigma = SigmaEnvironment.Create("test");
+            ByteRecordReader mnistImageReader = new ByteRecordReader(headerLengthBytes: 16, recordSizeBytes: 28 * 28, source: new CompressedSource(new MultiSource(new FileSource("train-images-idx3-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz"))));
+            IRecordExtractor mnistImageExtractor = mnistImageReader.Extractor("inputs", new[] { 0L, 0L }, new[] { 28L, 28L }).Preprocess(new NormalisingPreprocessor(0, 255));
 
-			sigma.Prepare();
+            ByteRecordReader mnistTargetReader = new ByteRecordReader(headerLengthBytes: 8, recordSizeBytes: 1, source: new CompressedSource(new MultiSource(new FileSource("train-labels-idx1-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"))));
+            IRecordExtractor mnistTargetExtractor = mnistTargetReader.Extractor("targets", new[] { 0L }, new[] { 1L }).Preprocess(new OneHotPreprocessor(minValue: 0, maxValue: 9));
 
-			//var irisReader = new CsvRecordReader(new MultiSource(new FileSource("iris.data"), new UrlSource("http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data")));
-			//IRecordExtractor irisExtractor = irisReader.Extractor("inputs2", new[] { 0, 3 }, "targets2", 4).AddValueMapping(4, "Iris-setosa", "Iris-versicolor", "Iris-virginica");
-			//irisExtractor = irisExtractor.Preprocess(new OneHotPreprocessor(sectionName: "targets2", minValue: 0, maxValue: 2), new NormalisingPreprocessor(sectionNames: "inputs2", minInputValue: 0, maxInputValue: 6));
+            IComputationHandler handler = new CpuFloat32Handler();
 
-			ByteRecordReader mnistImageReader = new ByteRecordReader(headerLengthBytes: 16, recordSizeBytes: 28 * 28, source: new CompressedSource(new MultiSource(new FileSource("train-images-idx3-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz"))));
-			IRecordExtractor mnistImageExtractor = mnistImageReader.Extractor("inputs", new[] { 0L, 0L }, new[] { 28L, 28L }).Preprocess(new NormalisingPreprocessor(0, 255));
+            Dataset dataset = new Dataset("mnist-training", Dataset.BlockSizeAuto, mnistImageExtractor, mnistTargetExtractor);
+            IDataset[] slices = dataset.SplitRecordwise(0.8, 0.2);
+            IDataset trainingData = slices[0];
+            IDataset validationData = slices[1];
 
-			ByteRecordReader mnistTargetReader = new ByteRecordReader(headerLengthBytes: 8, recordSizeBytes: 1, source: new CompressedSource(new MultiSource(new FileSource("train-labels-idx1-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"))));
-			IRecordExtractor mnistTargetExtractor = mnistTargetReader.Extractor("targets", new[] { 0L }, new[] { 1L }).Preprocess(new OneHotPreprocessor(minValue: 0, maxValue: 9));
+            MinibatchIterator trainingIterator = new MinibatchIterator(1, trainingData);
+            MinibatchIterator validationIterator = new MinibatchIterator(1, validationData);
 
-			IComputationHandler handler = new CpuFloat32Handler();
+            while (true)
+            {
+                foreach (var block in trainingIterator.Yield(handler, sigma))
+                {
+                    Thread.Sleep(100);
 
-			Dataset dataset = new Dataset("mnist-training", Dataset.BlockSizeAuto, mnistImageExtractor, mnistTargetExtractor);
-			IDataset[] slices = dataset.SplitRecordwise(0.8, 0.2);
-			IDataset trainingData = slices[0];
-			IDataset validationData = slices[1];
+                    PrintFormattedBlock(block, PrintUtils.AsciiGreyscalePalette);
 
-			MinibatchIterator trainingIterator = new MinibatchIterator(1, trainingData);
-			MinibatchIterator validationIterator = new MinibatchIterator(1, validationData);
+                    Thread.Sleep(1000);
+                }
+            }
 
-			while (true)
-			{
-				foreach (var block in trainingIterator.Yield(handler, sigma))
-				{
-					Thread.Sleep(100);
+            //Random random = new Random();
+            //INDArray array = new ADNDArray<float>(3, 1, 2, 2);
 
-					PrintFormattedBlock(block, PrintUtils.AsciiGreyscalePalette);
+            //new GaussianInitialiser(0.05, 0.05).Initialise(array, Handler, random);
 
-					Thread.Sleep(1000);
-				}
-			}
+            //Console.WriteLine(array);
 
-			//Random random = new Random();
-			//INDArray array = new ADNDArray<float>(3, 1, 2, 2);
+            //new ConstantValueInitialiser(1).Initialise(array, Handler, random);
 
-			//new GaussianInitialiser(0.05, 0.05).Initialise(array, Handler, random);
+            //Console.WriteLine(array);
 
-			//Console.WriteLine(array);
+            //dataset.InvalidateAndClearCaches();
+        }
 
-			//new ConstantValueInitialiser(1).Initialise(array, Handler, random);
+        private static void PrintFormattedBlock(IDictionary<string, INDArray> block, char[] palette)
+        {
+            foreach (string name in block.Keys)
+            {
+                string blockString = name == "inputs"
+                        ? ArrayUtils.ToString<float>(block[name], e => palette[(int)(e * (palette.Length - 1))].ToString(), maxDimensionNewLine: 0, printSeperator: false)
+                        : block[name].ToString();
 
-			//Console.WriteLine(array);
-
-			//dataset.InvalidateAndClearCaches();
-		}
-
-		private static void PrintFormattedBlock(IDictionary<string, INDArray> block, char[] palette)
-		{
-			foreach (string name in block.Keys)
-			{
-				string blockString = name == "inputs"
-						? ArrayUtils.ToString<float>(block[name], e => palette[(int) (e * (palette.Length - 1))].ToString(), maxDimensionNewLine: 0, printSeperator: false)
-						: block[name].ToString();
-
-				Console.WriteLine($"[{name}]=\n" + blockString);
-			}
-		}
-	}
+                Console.WriteLine($"[{name}]=\n" + blockString);
+            }
+        }
+    }
 }
\ No newline at end of file

From eec95041f7ce1c596c33e9720752ee81bd9b7f90 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Thu, 6 Apr 2017 21:04:36 +0200
Subject: [PATCH 07/40] Update SigmaDiff depdenency

Update SigmaDiff depdenency (commited wrong version)
---
 Sigma.Core/Dependencies/DiffSharp.dll | Bin 2149888 -> 2148352 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/Sigma.Core/Dependencies/DiffSharp.dll b/Sigma.Core/Dependencies/DiffSharp.dll
index 2490c6dc4dbe04145cd7644725e7b803ce2e05a6..0e868b5c0dc585aced1b81c43a1d9eb077cc4836 100644
GIT binary patch
delta 473318
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From 1a0ff188079503284088e323a694267ce344832b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Thu, 6 Apr 2017 21:15:01 +0200
Subject: [PATCH 08/40] Fix Dataset.FreeBlock race condition

---
 Sigma.Core/Data/Datasets/Dataset.cs      | 30 ++++++++++++------------
 Sigma.Tests.Internals.Backend/Program.cs |  4 ++--
 2 files changed, 17 insertions(+), 17 deletions(-)

diff --git a/Sigma.Core/Data/Datasets/Dataset.cs b/Sigma.Core/Data/Datasets/Dataset.cs
index f26923a0..936da151 100644
--- a/Sigma.Core/Data/Datasets/Dataset.cs
+++ b/Sigma.Core/Data/Datasets/Dataset.cs
@@ -377,11 +377,10 @@ private void RegisterActiveBlock(Dictionary<string, INDArray> block, int blockIn
                 return;
             }
 
-            RecordBlock recordBlock = new RecordBlock(block, blockIndex, firstNamedBlock.Shape[0],
-                handler.GetSizeBytes(block.Values.ToArray()), handler)
+            RecordBlock recordBlock = new RecordBlock(block, blockIndex, firstNamedBlock.Shape[0], handler.GetSizeBytes(block.Values.ToArray()), handler)
             { Loaded = true, Active = true };
 
-            lock (this)
+            lock (_activeBlocks)
             {
                 TotalActiveBlockSizeBytes += recordBlock.EstimatedSizeBytes;
                 TotalActiveRecords += recordBlock.NumberRecords;
@@ -745,17 +744,17 @@ private Dictionary<string, INDArray> ExtractDirectFrom(object[] data, int blockI
 
         public void FreeBlock(int blockIndex, IComputationHandler handler)
         {
-            if (!_activeBlocks.ContainsKey(blockIndex))
+            lock (_activeBlocks)
             {
-                _logger.Debug($"Unable to free block with index {blockIndex} for handler {handler} because no block with that information is currently active.");
+                if (!_activeBlocks.ContainsKey(blockIndex))
+                {
+                    _logger.Debug($"Unable to free block with index {blockIndex} for handler {handler} because no block with that information is currently active.");
 
-                return;
-            }
+                    return;
+                }
 
-            RecordBlock toRemove = null;
+                RecordBlock toRemove = null;
 
-            lock (this)
-            {
                 foreach (RecordBlock block in _activeBlocks[blockIndex])
                 {
                     if (ReferenceEquals(block.Handler, handler))
@@ -772,14 +771,15 @@ public void FreeBlock(int blockIndex, IComputationHandler handler)
                         goto FoundBlock;
                     }
                 }
-            }
 
-            _logger.Debug($"Unable to free block with index {blockIndex} for handler {handler} because no block with that information is currently active.");
+                _logger.Debug($"Unable to free block with index {blockIndex} for handler {handler} because no block with that information is currently active.");
+
+                FoundBlock:
 
-            FoundBlock:
+                DeregisterActiveBlock(toRemove);
+                _logger.Debug($"Done freeing block with index {blockIndex} for handler {handler}.");
 
-            DeregisterActiveBlock(toRemove);
-            _logger.Debug($"Done freeing block with index {blockIndex} for handler {handler}.");
+            }
         }
 
         private void CacheBlockConstrained(Dictionary<string, INDArray> block, int blockIndex, IComputationHandler handler)
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index 5b36f84e..a4acfac2 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -71,11 +71,11 @@ private static void SampleTrainerOperatorWorkerIris()
                                             + FullyConnectedLayer.Construct(10)
                                             + FullyConnectedLayer.Construct(3)
                                             + OutputLayer.Construct(3)
-                                            + SoftMaxCrossEntropyCostLayer.Construct();
+                                            + SquaredDifferenceCostLayer.Construct();
             trainer.TrainingDataIterator = new MinibatchIterator(4, dataset);
             trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
             trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.9);
-            trainer.Operator = new CpuSinglethreadedOperator(new DebugHandler(new CpuFloat32Handler()));
+            trainer.Operator = new CpuMultithreadedOperator(workerCount: 2);
 
             trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.2));
             trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.1, mean: 0.0));

From 6c86822fa9f4acdb95b3a49c964ecd3208379d26 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Fri, 7 Apr 2017 21:36:30 +0200
Subject: [PATCH 09/40] Add auto-use of available processing power in
 CpuMultithreadedOp

Add auto-use of available processing power in CpuMultithreadedOp
---
 .../NativeCpu/CpuMultithreadedOperator.cs         | 15 ++++++++++++++-
 Sigma.Tests.Internals.Backend/Program.cs          |  4 ++--
 Sigma.Tests.Internals.WPF/Program.cs              |  3 ++-
 3 files changed, 18 insertions(+), 4 deletions(-)

diff --git a/Sigma.Core/Training/Operators/Backends/NativeCpu/CpuMultithreadedOperator.cs b/Sigma.Core/Training/Operators/Backends/NativeCpu/CpuMultithreadedOperator.cs
index 737ee21a..da5af8e2 100644
--- a/Sigma.Core/Training/Operators/Backends/NativeCpu/CpuMultithreadedOperator.cs
+++ b/Sigma.Core/Training/Operators/Backends/NativeCpu/CpuMultithreadedOperator.cs
@@ -81,7 +81,20 @@ public class CpuMultithreadedOperator : BaseOperator
 		/// </summary>
 		public ThreadPriority WorkerPriority { get; }
 
-		/// <summary>
+	    /// <summary>
+	    ///     Create a new <see cref="CpuMultithreadedOperator" /> using the default <see cref="IComputationHandler" /> (<see cref="CpuFloat32Handler"/>).
+	    ///     The <see cref="ThreadPriority" /> will receive its default value (<see cref="ThreadPriority.Highest" />).
+	    /// </summary>
+	    public CpuMultithreadedOperator(double useAvailablePower = 0.5) : this(_InternalGetOptimalCpuWorkerCount(useAvailablePower))
+	    {
+	    }
+
+	    private static int _InternalGetOptimalCpuWorkerCount(double useAvailablePower)
+	    {
+	        return (int) (Environment.ProcessorCount * useAvailablePower);
+	    }
+
+	    /// <summary>
 		///     Create a new <see cref="CpuMultithreadedOperator" /> using the default <see cref="IComputationHandler" /> (<see cref="CpuFloat32Handler"/>).
 		///     The <see cref="ThreadPriority" /> will receive its default value (<see cref="ThreadPriority.Highest" />).
 		/// </summary>
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index a4acfac2..224205b1 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -44,7 +44,7 @@ private static void Main(string[] args)
             SigmaEnvironment.EnableLogging(xml: true);
             SigmaEnvironment.Globals["web_proxy"] = WebUtils.GetProxyFromFileOrDefault(".customproxy");
 
-            SampleTrainerOperatorWorkerIris();
+            SampleTrainerOperatorWorkerMnist();
 
             Console.WriteLine("Program ended, waiting for termination, press any key...");
             Console.ReadKey();
@@ -144,7 +144,7 @@ private static void SampleTrainerOperatorWorkerMnist()
             trainer.TrainingDataIterator = new MinibatchIterator(4, dataset);
             trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
             trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.9);
-            trainer.Operator = new CpuSinglethreadedOperator(new DebugHandler(new CpuFloat32Handler(), enabled: false));
+            trainer.Operator = new CpuMultithreadedOperator(workerCount: 2);
 
             trainer.AddInitialiser("*.weights", new XavierInitialiser(scale: 5));
             trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01f, mean: 0.03f));
diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index ae3679f8..e99822d2 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -1,4 +1,5 @@
-using LiveCharts.Wpf;
+using System;
+using LiveCharts.Wpf;
 using Sigma.Core;
 using Sigma.Core.Architecture;
 using Sigma.Core.Data.Datasets;

From 53560b2c7be82c1d6683a504757804c698c78fb5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Sat, 8 Apr 2017 14:32:07 +0200
Subject: [PATCH 10/40] Fix BaseOperator multi-worker global hooks with
 iteration timescale

Fix BaseOperator multi-worker global hooks with iteration timescale
---
 .../Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs    | 4 ++--
 Sigma.Core/Training/Operators/BaseOperator.cs                 | 2 +-
 Sigma.sln.DotSettings                                         | 3 ++-
 3 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs
index 5f168dc0..808b8b57 100644
--- a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs
+++ b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs
@@ -35,8 +35,8 @@ public abstract class DiffSharpFloat32Handler : IComputationHandler, ISerialisat
 
 		internal DiffSharpBackendHandle<float> DiffsharpBackendHandle
 		{
-			get { return _diffsharpBackendHandle; }
-			private set { _diffsharpBackendHandle = value; }
+			get => _diffsharpBackendHandle;
+		    private set => _diffsharpBackendHandle = value;
 		}
 
 		[NonSerialized]
diff --git a/Sigma.Core/Training/Operators/BaseOperator.cs b/Sigma.Core/Training/Operators/BaseOperator.cs
index 5d954a9f..de19712c 100644
--- a/Sigma.Core/Training/Operators/BaseOperator.cs
+++ b/Sigma.Core/Training/Operators/BaseOperator.cs
@@ -297,7 +297,7 @@ public void PushProgress(IWorker worker)
 
 				localIterationNumbers[WorkerIndicesByWorkers[worker]] = worker.LocalIterationNumber;
 
-				if (localIterationNumbers.Any(i => i != worker.LocalIterationNumber))
+				if (localIterationNumbers.Any(i => i < worker.LocalIterationNumber))
 				{
 					allWorkersAtIteration = false;
 				}
diff --git a/Sigma.sln.DotSettings b/Sigma.sln.DotSettings
index 8b5efca9..58b7cff8 100644
--- a/Sigma.sln.DotSettings
+++ b/Sigma.sln.DotSettings
@@ -58,4 +58,5 @@
 	<s:Boolean x:Key="/Default/Environment/SearchAndNavigation/FileAndDirsToSkip/=614662B2_002DB353_002D4DEE_002D839B_002D5F00564C7B24_002Fd_003AResources_002Ff_003AIconsNonShared_002Examl/@EntryIndexedValue">True</s:Boolean>
 	<s:Boolean x:Key="/Default/Environment/SettingsMigration/IsMigratorApplied/=JetBrains_002EReSharper_002EPsi_002ECSharp_002ECodeStyle_002ESettingsUpgrade_002EAddAccessorOwnerDeclarationBracesMigration/@EntryIndexedValue">True</s:Boolean>
 	<s:Boolean x:Key="/Default/Environment/SettingsMigration/IsMigratorApplied/=JetBrains_002EReSharper_002EPsi_002ECSharp_002ECodeStyle_002ESettingsUpgrade_002EMigrateBlankLinesAroundFieldToBlankLinesAroundProperty/@EntryIndexedValue">True</s:Boolean>
-	<s:Boolean x:Key="/Default/Environment/SettingsMigration/IsMigratorApplied/=JetBrains_002EReSharper_002EPsi_002ECSharp_002ECodeStyle_002ESettingsUpgrade_002EMigrateThisQualifierSettings/@EntryIndexedValue">True</s:Boolean></wpf:ResourceDictionary>
\ No newline at end of file
+	<s:Boolean x:Key="/Default/Environment/SettingsMigration/IsMigratorApplied/=JetBrains_002EReSharper_002EPsi_002ECSharp_002ECodeStyle_002ESettingsUpgrade_002EMigrateThisQualifierSettings/@EntryIndexedValue">True</s:Boolean>
+	<s:Boolean x:Key="/Default/Environment/SettingsMigration/IsMigratorApplied/=JetBrains_002EReSharper_002EPsi_002EXml_002ECodeStyle_002EFormatSettingsUpgrade_002EXmlMoveToCommonFormatterSettingsUpgrade/@EntryIndexedValue">True</s:Boolean></wpf:ResourceDictionary>
\ No newline at end of file

From 1e87e11968af59e98c679d4005e7cb8d4a53c9ba Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Sun, 9 Apr 2017 22:04:31 +0200
Subject: [PATCH 11/40] Add disk savior hook, fix serialisability of some base
 layer types

Add disk savior hook, fix serialisability of some base layer types
---
 Sigma.Core/Architecture/Network.cs            |  2 +
 Sigma.Core/Layers/BaseLayer.cs                |  1 +
 Sigma.Core/Layers/Cost/BaseCostLayer.cs       |  2 +
 Sigma.Core/Sigma.Core.csproj                  |  2 +-
 Sigma.Core/Training/Hooks/BaseHook.cs         | 11 +++
 .../Training/Hooks/Saviors/DiskSaviorHook.cs  | 77 +++++++++++++++++++
 Sigma.Core/Utils/Registry.cs                  |  7 +-
 Sigma.Tests.Internals.Backend/Program.cs      |  8 +-
 8 files changed, 105 insertions(+), 5 deletions(-)
 create mode 100644 Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs

diff --git a/Sigma.Core/Architecture/Network.cs b/Sigma.Core/Architecture/Network.cs
index 1e2b233a..095a99b8 100644
--- a/Sigma.Core/Architecture/Network.cs
+++ b/Sigma.Core/Architecture/Network.cs
@@ -41,6 +41,8 @@ public class Network : INetwork
 		private readonly List<InternalLayerBuffer> _externalInputsLayerBuffers;
 		private readonly List<InternalLayerBuffer> _externalOutputsLayerBuffers;
 		private List<ILayer> _orderedLayers;
+
+        [NonSerialized]
 		private IComputationHandler _initialisationHandler;
 		private bool _initialised;
 
diff --git a/Sigma.Core/Layers/BaseLayer.cs b/Sigma.Core/Layers/BaseLayer.cs
index 22f0bcd0..58171b1b 100644
--- a/Sigma.Core/Layers/BaseLayer.cs
+++ b/Sigma.Core/Layers/BaseLayer.cs
@@ -15,6 +15,7 @@ namespace Sigma.Core.Layers
 	/// <summary>
 	/// A basic base layer to simplify custom layer implementations of the ILayer interface. 
 	/// </summary>
+	[Serializable]
 	public abstract class BaseLayer : ILayer
 	{
 		public string Name { get; }
diff --git a/Sigma.Core/Layers/Cost/BaseCostLayer.cs b/Sigma.Core/Layers/Cost/BaseCostLayer.cs
index 96506071..c1ed7ab3 100644
--- a/Sigma.Core/Layers/Cost/BaseCostLayer.cs
+++ b/Sigma.Core/Layers/Cost/BaseCostLayer.cs
@@ -6,6 +6,7 @@ MIT License
 For full license see LICENSE in the root directory of this project. 
 */
 
+using System;
 using Sigma.Core.Architecture;
 using Sigma.Core.Handlers;
 using Sigma.Core.MathAbstract;
@@ -16,6 +17,7 @@ namespace Sigma.Core.Layers.Cost
 	/// <summary>
 	/// A base cost layer that takes of getting the predictions and targets sorted out to calculate the cost more easily.
 	/// </summary>
+	[Serializable]
 	public abstract class BaseCostLayer : BaseLayer
 	{
 		/// <summary>
diff --git a/Sigma.Core/Sigma.Core.csproj b/Sigma.Core/Sigma.Core.csproj
index 086f90b4..b964c061 100644
--- a/Sigma.Core/Sigma.Core.csproj
+++ b/Sigma.Core/Sigma.Core.csproj
@@ -243,6 +243,7 @@
     <Compile Include="Training\Hooks\Reporters\RunningTimeReporter.cs" />
     <Compile Include="Training\Hooks\Reporters\ValidationAccuracyReporter.cs" />
     <Compile Include="Training\Hooks\Reporters\ValueReporterHook.cs" />
+    <Compile Include="Training\Hooks\Saviors\DiskSaviorHook.cs" />
     <Compile Include="Training\Hooks\Scorers\BaseValidationScorer.cs" />
     <Compile Include="Training\Hooks\Scorers\ValidationAccuracyScorer.cs" />
     <Compile Include="Training\Hooks\Stoppers\StopTrainingHook.cs" />
@@ -314,7 +315,6 @@
     <Folder Include="Layers\Normalisation\" />
     <Folder Include="Layers\Recurrent\" />
     <Folder Include="Persistence\Selectors\Environment\" />
-    <Folder Include="Training\Hooks\Saviors\" />
     <Folder Include="Training\Supervisors\" />
   </ItemGroup>
   <ItemGroup>
diff --git a/Sigma.Core/Training/Hooks/BaseHook.cs b/Sigma.Core/Training/Hooks/BaseHook.cs
index 70958af3..31ae67d9 100644
--- a/Sigma.Core/Training/Hooks/BaseHook.cs
+++ b/Sigma.Core/Training/Hooks/BaseHook.cs
@@ -114,6 +114,17 @@ protected BaseHook(ITimeStep timestep, ISet<string> requiredRegistryEntries)
 			ParameterRegistry = new Registry();
 		}
 
+        /// <summary>
+        /// Set this hook to be invoked in a background thread.
+        /// </summary>
+        /// <returns></returns>
+	    public BaseHook SetInvokeInBackground()
+	    {
+	        InvokeInBackground = true;
+
+	        return this;
+	    }
+
 		/// <summary>
 		/// Invoke this hook only when a certain hook invoke criteria is satisfied.
 		/// </summary>
diff --git a/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs b/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
new file mode 100644
index 00000000..a12fcdc1
--- /dev/null
+++ b/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
@@ -0,0 +1,77 @@
+/* 
+MIT License
+
+Copyright (c) 2016-2017 Florian Cäsar, Michael Plainer
+
+For full license see LICENSE in the root directory of this project. 
+*/
+
+using System;
+using System.IO;
+using log4net;
+using log4net.Core;
+using Sigma.Core.Persistence;
+using Sigma.Core.Utils;
+
+namespace Sigma.Core.Training.Hooks.Saviors
+{
+    [Serializable]
+    public class DiskSaviorHook<T> : BaseHook
+    {
+        [NonSerialized]
+        private readonly ILog _logger = LogManager.GetLogger(System.Reflection.MethodBase.GetCurrentMethod().DeclaringType);
+
+        /// <summary>
+        /// Create a savior hook that will automatically serialise a certain registry entry.
+        /// </summary>
+        /// <param name="timestep">The time step.</param>
+        /// <param name="registryEntryToSave"></param>
+        /// <param name="fileName">The file name to store to disk as.</param>
+        /// <param name="selectFunction">The select function to apply.</param>
+        /// <param name="verbose">Indicate whether or not to report when the specified object was serialised.</param>
+        public DiskSaviorHook(ITimeStep timestep, string registryEntryToSave, string fileName, bool verbose = true) : this(timestep, registryEntryToSave, fileName, o => o, verbose)
+        {
+        }
+
+        /// <summary>
+        /// Create a savior hook that will automatically serialise a certain registry entry.
+        /// </summary>
+        /// <param name="timestep">The time step.</param>
+        /// <param name="registryEntryToSave"></param>
+        /// <param name="fileName">The file name to store to disk as.</param>
+        /// <param name="selectFunction">The select function to apply.</param>
+        /// <param name="verbose">Indicate whether or not to report when the specified object was serialised.</param>
+        public DiskSaviorHook(ITimeStep timestep, string registryEntryToSave, string fileName, Func<T, T> selectFunction, bool verbose = true) : base(timestep, registryEntryToSave)
+        {
+            ParameterRegistry["registry_entry_to_save"] = registryEntryToSave ?? throw new ArgumentNullException(nameof(registryEntryToSave));
+            ParameterRegistry["file_name"] = fileName ?? throw new ArgumentNullException(nameof(fileName));
+            ParameterRegistry["select_function"] = selectFunction ?? throw new ArgumentNullException(nameof(selectFunction));
+            ParameterRegistry["verbose"] = verbose;
+
+            DefaultTargetMode = TargetMode.Global;
+        }
+
+        /// <summary>
+        /// Invoke this hook with a certain parameter registry if optional conditional criteria are satisfied.
+        /// </summary>
+        /// <param name="registry">The registry containing the required values for this hook's execution.</param>
+        /// <param name="resolver">A helper resolver for complex registry entries (automatically cached).</param>
+        public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
+        {
+            string registryEntryToSave = ParameterRegistry.Get<string>("registry_entry_to_save");
+            string fileName = ParameterRegistry.Get<string>("file_name");
+            object toSerialise = resolver.ResolveGetSingle<object>(registryEntryToSave);
+            bool verbose = ParameterRegistry.Get<bool>("verbose");
+            Func<T, T> selectFunction = ParameterRegistry.Get<Func<T, T>>("select_function");
+
+            toSerialise = selectFunction.Invoke((T) toSerialise);
+
+            Serialisation.WriteBinaryFile(toSerialise, fileName, verbose: false);
+
+            if (verbose)
+            {
+                _logger.Info($"Saved \"{registryEntryToSave}\" to \"{SigmaEnvironment.Globals.Get<string>("storage_path")}/{fileName}\".");
+            }
+        }
+    }
+}
diff --git a/Sigma.Core/Utils/Registry.cs b/Sigma.Core/Utils/Registry.cs
index 6ffa285f..3ec3a6bd 100644
--- a/Sigma.Core/Utils/Registry.cs
+++ b/Sigma.Core/Utils/Registry.cs
@@ -372,7 +372,12 @@ public IEnumerator GetValueIterator()
 			return MappedValues.Values.GetEnumerator();
 		}
 
-		public override string ToString()
+	    public override string ToString()
+	    {
+	        return $"registry tagged as {(Tags.Count == 0 ? "<none>" : string.Join("", Tags))} with {MappedValues.Count} entries";
+	    }
+
+		public string FancyToString()
 		{
 			StringBuilder str = new StringBuilder();
 
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index 224205b1..58bc0e15 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -32,6 +32,7 @@
 using System.Diagnostics;
 using System.Linq;
 using System.Threading;
+using Sigma.Core.Training.Hooks.Saviors;
 
 namespace Sigma.Tests.Internals.Backend
 {
@@ -44,7 +45,7 @@ private static void Main(string[] args)
             SigmaEnvironment.EnableLogging(xml: true);
             SigmaEnvironment.Globals["web_proxy"] = WebUtils.GetProxyFromFileOrDefault(".customproxy");
 
-            SampleTrainerOperatorWorkerMnist();
+            SampleTrainerOperatorWorkerIris();
 
             Console.WriteLine("Program ended, waiting for termination, press any key...");
             Console.ReadKey();
@@ -85,6 +86,7 @@ private static void SampleTrainerOperatorWorkerIris()
             trainer.AddHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch)));
             trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));
             trainer.AddHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
+            trainer.AddHook(new DiskSaviorHook<INetwork>(TimeStep.Every(1, TimeScale.Epoch), "network.self", "iris.sgnet"));
 
             //trainer.AddGlobalHook(new CurrentEpochIterationReporter(TimeStep.Every(1, TimeScale.Epoch)));
 
@@ -94,7 +96,7 @@ private static void SampleTrainerOperatorWorkerIris()
             sigma.AddTrainer(trainer);
 
             //trainer.Operator.InvokeCommand(new TestCommand(() => { throw new NotImplementedException(); }, "optimiser.learning_rate"));
-            trainer.Operator.InvokeCommand(new SetValueCommand("optimiser.learning_rate", 0.02d, () => {/* finished */}));
+            trainer.Operator.InvokeCommand(new SetValueCommand("optimiser.learning_rate", 0.02, () => {/* finished */}));
 
             sigma.Run();
         }
@@ -137,7 +139,7 @@ private static void SampleTrainerOperatorWorkerMnist()
 
             trainer.Network = new Network();
             trainer.Network.Architecture = InputLayer.Construct(28, 28)
-                                            + FullyConnectedLayer.Construct(28 * 28)
+                                            + 2 * FullyConnectedLayer.Construct(28 * 28)
                                             + FullyConnectedLayer.Construct(10)
                                             + OutputLayer.Construct(10)
                                             + SquaredDifferenceCostLayer.Construct();

From 916642253ddf36bd4777d21f79aab4a96aefc294 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Mon, 10 Apr 2017 15:39:29 +0200
Subject: [PATCH 12/40] Fix compatibility with previous C# version (unit tests)

Fix compatibility with previous C# version (unit tests)
---
 .../Backends/SigmaDiff/DiffSharpFloat32Handler.cs      |  6 +++---
 Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs    | 10 +++++++---
 2 files changed, 10 insertions(+), 6 deletions(-)

diff --git a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs
index 808b8b57..61c9609f 100644
--- a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs
+++ b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs
@@ -35,9 +35,9 @@ public abstract class DiffSharpFloat32Handler : IComputationHandler, ISerialisat
 
 		internal DiffSharpBackendHandle<float> DiffsharpBackendHandle
 		{
-			get => _diffsharpBackendHandle;
-		    private set => _diffsharpBackendHandle = value;
-		}
+		    get { return _diffsharpBackendHandle; }
+		    private set { _diffsharpBackendHandle = value; }
+        }
 
 		[NonSerialized]
 		private readonly ILog _logger = LogManager.GetLogger(System.Reflection.MethodBase.GetCurrentMethod().DeclaringType);
diff --git a/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs b/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
index a12fcdc1..484e3773 100644
--- a/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
+++ b/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
@@ -43,9 +43,13 @@ public DiskSaviorHook(ITimeStep timestep, string registryEntryToSave, string fil
         /// <param name="verbose">Indicate whether or not to report when the specified object was serialised.</param>
         public DiskSaviorHook(ITimeStep timestep, string registryEntryToSave, string fileName, Func<T, T> selectFunction, bool verbose = true) : base(timestep, registryEntryToSave)
         {
-            ParameterRegistry["registry_entry_to_save"] = registryEntryToSave ?? throw new ArgumentNullException(nameof(registryEntryToSave));
-            ParameterRegistry["file_name"] = fileName ?? throw new ArgumentNullException(nameof(fileName));
-            ParameterRegistry["select_function"] = selectFunction ?? throw new ArgumentNullException(nameof(selectFunction));
+            if (registryEntryToSave == null) throw new ArgumentNullException(nameof(registryEntryToSave));
+            if (fileName == null) throw new ArgumentNullException(nameof(fileName));
+            if (selectFunction == null) throw new ArgumentNullException(nameof(selectFunction));
+
+            ParameterRegistry["registry_entry_to_save"] = registryEntryToSave;
+            ParameterRegistry["file_name"] = fileName;
+            ParameterRegistry["select_function"] = selectFunction;
             ParameterRegistry["verbose"] = verbose;
 
             DefaultTargetMode = TargetMode.Global;

From d3bf406a0b6af12af7dc986b643e096b8d3b4ad6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Mon, 10 Apr 2017 20:45:07 +0200
Subject: [PATCH 13/40] Fix registry serialisation issues with hierarchy change
 listeners, optimised serialisation object traversal

Fix registry serialisation issues with hierarchy change listeners,
optimised serialisation object traversal
---
 .../ParameterisationManager.cs                |  1 +
 Sigma.Core/Persistence/Serialisation.cs       | 18 ++++---
 Sigma.Core/Utils/LoggingUtils.cs              | 17 ++++---
 Sigma.Core/Utils/Registry.cs                  | 49 +++++++++++++++----
 4 files changed, 62 insertions(+), 23 deletions(-)

diff --git a/Sigma.Core/Parameterisation/ParameterisationManager.cs b/Sigma.Core/Parameterisation/ParameterisationManager.cs
index 9f267cad..ef7c16e6 100644
--- a/Sigma.Core/Parameterisation/ParameterisationManager.cs
+++ b/Sigma.Core/Parameterisation/ParameterisationManager.cs
@@ -16,6 +16,7 @@ namespace Sigma.Core.Parameterisation
 	/// <summary>
 	/// A parameterisation 
 	/// </summary>
+	[Serializable]
 	public class ParameterisationManager : IParameterisationManager
 	{
 		private readonly IDictionary<string, IParameterType> _identifierMappings;
diff --git a/Sigma.Core/Persistence/Serialisation.cs b/Sigma.Core/Persistence/Serialisation.cs
index bf8ebe59..2e0a7b77 100644
--- a/Sigma.Core/Persistence/Serialisation.cs
+++ b/Sigma.Core/Persistence/Serialisation.cs
@@ -14,6 +14,7 @@ For full license see LICENSE in the root directory of this project.
 using System.Runtime.Serialization;
 using log4net;
 using log4net.Core;
+using Sigma.Core.Parameterisation;
 using Sigma.Core.Utils;
 
 namespace Sigma.Core.Persistence
@@ -36,7 +37,7 @@ public static class Serialisation
 		/// <param name="verbose">Optionally indicate where the log messages should written to (verbose = Info, otherwise Debug).</param>
 		public static void WriteBinaryFile(object obj, string filename, bool verbose = true)
 		{
-			Write(obj, Target.FileByName(filename), Serialisers.BinarySerialiser, verbose);
+			Write(obj, Target.FileByName(filename), Serialisers.BinarySerialiser, verbose: verbose);
 		}
 
 		/// <summary>
@@ -63,7 +64,8 @@ public static T ReadBinaryFile<T>(string filename, bool verbose = true)
 		/// <param name="serialiser">The serialiser.</param>
 		/// <param name="autoClose">Optionally indicate if the stream should be automatically closed.</param>
 		/// <param name="verbose">Optionally indicate where the log messages should written to (verbose = Info, otherwise Debug).</param>
-		public static void Write(object obj, Stream target, ISerialiser serialiser, bool autoClose = true, bool verbose = true)
+		/// <returns>The number of bytes written (if exposed by the used target stream).</returns>
+		public static long Write(object obj, Stream target, ISerialiser serialiser, bool autoClose = true, bool verbose = true)
 		{
 			if (obj == null) throw new ArgumentNullException(nameof(obj));
 			if (target == null) throw new ArgumentNullException(nameof(target));
@@ -75,7 +77,7 @@ public static void Write(object obj, Stream target, ISerialiser serialiser, bool
 			long beforePosition = target.Position;
 
 			TraverseObjectGraph(obj, new HashSet<object>(), (p, f, o) => (o as ISerialisationNotifier)?.OnSerialising());
-			serialiser.Write(obj, target);
+		    serialiser.Write(obj, target);
 			TraverseObjectGraph(obj, new HashSet<object>(), (p, f, o) => (o as ISerialisationNotifier)?.OnSerialised());
 
 			target.Flush();
@@ -86,6 +88,8 @@ public static void Write(object obj, Stream target, ISerialiser serialiser, bool
 
 			LoggingUtils.Log(verbose ? Level.Info : Level.Debug, $"Done writing {obj.GetType().Name} {obj} to target stream {target} using serialiser {serialiser}, " +
 						  $"wrote {(bytesWritten / 1024.0):#.#}kB, took {stopwatch.ElapsedMilliseconds}ms.", ClazzLogger);
+
+		    return bytesWritten;
 		}
 
 		/// <summary>
@@ -145,7 +149,7 @@ internal static void TraverseObjectGraph(object root, ISet<object> traversedObje
 			do
 			{
 				FieldInfo[] fields = type.GetFields(BindingFlags.Instance | BindingFlags.NonPublic | BindingFlags.Public);
-
+                // hierarchy change listeners..
 				// for every type check all fields for relevance
 				foreach (FieldInfo field in fields)
 				{
@@ -158,11 +162,11 @@ internal static void TraverseObjectGraph(object root, ISet<object> traversedObje
 
 					if (value != null)
 					{
-						// TODO smarter optimisation than checking for system namespace, maybe build cache with type information?
+                        // Note: I am completely aware how awful this "optimisation" is, but it works and there currently is no time to implement a better system.
 						string ns = value.GetType().Namespace;
-						bool boringSystemType = ns.StartsWith("System") && !ns.StartsWith("System.Collections");
+						bool boringType = ns.StartsWith("System") && !ns.StartsWith("System.Collections") || ns.StartsWith("log4net");
 
-						if (!boringSystemType && !traversedObjects.Contains(value))
+						if (!boringType && !traversedObjects.Contains(value) && !Attribute.IsDefined(field, typeof(NonSerializedAttribute)))
 						{
 							TraverseObjectGraph(value, traversedObjects, action);
 
diff --git a/Sigma.Core/Utils/LoggingUtils.cs b/Sigma.Core/Utils/LoggingUtils.cs
index 5156b49d..2039964e 100644
--- a/Sigma.Core/Utils/LoggingUtils.cs
+++ b/Sigma.Core/Utils/LoggingUtils.cs
@@ -6,6 +6,7 @@ MIT License
 For full license see LICENSE in the root directory of this project. 
 */
 
+using System;
 using log4net;
 using log4net.Core;
 
@@ -24,26 +25,30 @@ public static class LoggingUtils
 		/// <param name="logger">The logger to use.</param>
 		public static void Log(Level level, string message, ILog logger)
 		{
-			if (level == Level.Fatal)
+			if (level.Value == Level.Fatal.Value)
 			{
 				logger.Fatal(message);
 			}
-			else if (level == Level.Error)
+			else if (level.Value == Level.Error.Value)
 			{
 				logger.Error(message);
 			}
-			else if (level == Level.Warn)
+			else if (level.Value == Level.Warn.Value)
 			{
 				logger.Warn(message);
 			}
-			else if (level == Level.Info)
+			else if (level.Value == Level.Info.Value)
 			{
 				logger.Info(message);
 			}
-			else if (level == Level.Debug)
+			else if (level.Value == Level.Debug.Value)
 			{
 				logger.Debug(message);
 			}
-		}
+			else
+			{
+			    throw new ArgumentException($"Level {level} is not a supported logging level (supported levels are fatal, error, warn, info, debug).");
+            }
+        }
 	}
 }
diff --git a/Sigma.Core/Utils/Registry.cs b/Sigma.Core/Utils/Registry.cs
index 3ec3a6bd..fe0e4e48 100644
--- a/Sigma.Core/Utils/Registry.cs
+++ b/Sigma.Core/Utils/Registry.cs
@@ -13,6 +13,7 @@ For full license see LICENSE in the root directory of this project.
 using System.Linq;
 using System.Text;
 using System.Text.RegularExpressions;
+using Sigma.Core.Persistence;
 
 namespace Sigma.Core.Utils
 {
@@ -22,12 +23,15 @@ namespace Sigma.Core.Utils
 	/// Registries can be chained and represent a hierarchy, which can then be referred to using dot notation.
 	/// </summary>
 	[Serializable]
-	public class Registry : IRegistry
+	public class Registry : IRegistry, ISerialisationNotifier
 	{
 		internal Dictionary<string, object> MappedValues;
 		internal Dictionary<string, Type> AssociatedTypes;
 
-		public bool CheckTypes
+        [NonSerialized]
+	    private ISet<IRegistryHierarchyChangeListener> _hierarchyChangeListeners;
+
+	    public bool CheckTypes
 		{
 			get; set;
 		} = true;
@@ -51,14 +55,17 @@ public bool ExceptionOnCopyNonDeepCopyable
 
 		public ISet<string> Tags { get; }
 
-		public ISet<IRegistryHierarchyChangeListener> HierarchyChangeListeners { get; }
+	    public ISet<IRegistryHierarchyChangeListener> HierarchyChangeListeners
+	    {
+	        get { return _hierarchyChangeListeners; }
+	    }
 
-		/// <summary>
-		/// Create a registry with a certain (optional) parent and an (optional) list of tags.
-		/// </summary>
-		/// <param name="parent">The optional parent to this registry.</param>
-		/// <param name="tags">The optional tags to this registry.</param>
-		public Registry(IRegistry parent = null, params string[] tags)
+	    /// <summary>
+	    /// Create a registry with a certain (optional) parent and an (optional) list of tags.
+	    /// </summary>
+	    /// <param name="parent">The optional parent to this registry.</param>
+	    /// <param name="tags">The optional tags to this registry.</param>
+	    public Registry(IRegistry parent = null, params string[] tags)
 		{
 			Parent = parent;
 			Root = Parent?.Root ?? Parent;
@@ -72,7 +79,7 @@ public Registry(IRegistry parent = null, params string[] tags)
 			}
 
 			Tags = new HashSet<string>(tags);
-			HierarchyChangeListeners = new HashSet<IRegistryHierarchyChangeListener>();
+			_hierarchyChangeListeners = new HashSet<IRegistryHierarchyChangeListener>();
 		}
 
 		public object DeepCopy()
@@ -408,6 +415,28 @@ public bool RegistryContentEquals(IRegistry other)
 		{
 			return other != null && MappedValues.Count == other.Count && MappedValues.Keys.All(k => other.ContainsKey(k) && Equals(MappedValues[k], other[k]));
 		}
+
+	    /// <summary>
+	    /// Called before this object is serialised.
+	    /// </summary>
+	    public void OnSerialising()
+	    {
+	    }
+
+	    /// <summary>
+	    /// Called after this object was serialised.
+	    /// </summary>
+	    public void OnSerialised()
+	    {
+	    }
+
+	    /// <summary>
+	    /// Called after this object was de-serialised. 
+	    /// </summary>
+	    public void OnDeserialised()
+	    {
+            _hierarchyChangeListeners = new HashSet<IRegistryHierarchyChangeListener>();
+	    }
 	}
 
 	/// <summary>

From 6be2c973ebeb29c47cab5a750bf57b4e33065ac6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Wed, 12 Apr 2017 21:20:50 +0200
Subject: [PATCH 14/40] Add read and validation for existing objects from
 binary files in serialisation

Add read and validation for existing objects from binary files in
serialisation
---
 Sigma.Core/Persistence/Serialisation.cs  | 40 +++++++++++++++++++++---
 Sigma.Tests.Internals.Backend/Program.cs |  2 ++
 2 files changed, 38 insertions(+), 4 deletions(-)

diff --git a/Sigma.Core/Persistence/Serialisation.cs b/Sigma.Core/Persistence/Serialisation.cs
index 2e0a7b77..54c07db3 100644
--- a/Sigma.Core/Persistence/Serialisation.cs
+++ b/Sigma.Core/Persistence/Serialisation.cs
@@ -77,7 +77,7 @@ public static long Write(object obj, Stream target, ISerialiser serialiser, bool
 			long beforePosition = target.Position;
 
 			TraverseObjectGraph(obj, new HashSet<object>(), (p, f, o) => (o as ISerialisationNotifier)?.OnSerialising());
-		    serialiser.Write(obj, target);
+			serialiser.Write(obj, target);
 			TraverseObjectGraph(obj, new HashSet<object>(), (p, f, o) => (o as ISerialisationNotifier)?.OnSerialised());
 
 			target.Flush();
@@ -89,7 +89,7 @@ public static long Write(object obj, Stream target, ISerialiser serialiser, bool
 			LoggingUtils.Log(verbose ? Level.Info : Level.Debug, $"Done writing {obj.GetType().Name} {obj} to target stream {target} using serialiser {serialiser}, " +
 						  $"wrote {(bytesWritten / 1024.0):#.#}kB, took {stopwatch.ElapsedMilliseconds}ms.", ClazzLogger);
 
-		    return bytesWritten;
+			return bytesWritten;
 		}
 
 		/// <summary>
@@ -134,6 +134,38 @@ public static T Read<T>(Stream target, ISerialiser serialiser, bool verbose = tr
 			return (T) read;
 		}
 
+		/// <summary>
+		/// Attempt to read and validate certain object from a binary file, return the original value if unsuccessful.
+		/// </summary>
+		/// <typeparam name="T">The object type.</typeparam>
+		/// <param name="fileName">The file name.</param>
+		/// <param name="originalValue">The original value.</param>
+		/// <param name="verbose">Optionally indicate where the log messages should written to (verbose = Info, otherwise Debug).</param>
+		/// <param name="validationFunction">The optional validation function to validate the read object with (if false, the original value is returned).</param>
+		/// <returns>The read (i.e. existing) if successfully read and validated, otherwise the original value.</returns>
+		public static T ReadFromBinaryFileIfExists<T>(string fileName, T originalValue, bool verbose = true, Func<T, bool> validationFunction = null)
+		{
+			try
+			{
+				T existing = ReadBinaryFile<T>(fileName, verbose);
+
+				if (validationFunction == null || validationFunction.Invoke(existing))
+				{
+					LoggingUtils.Log(verbose ? Level.Info :  Level.Debug, $"Read and validation of type {typeof(T)} successful, returning existing value.", ClazzLogger);
+
+					return existing;
+				}
+
+				LoggingUtils.Log(verbose ? Level.Info : Level.Debug, $"Read of type {typeof(T)} successful, validation failed, returning default value.", ClazzLogger);
+			}
+			catch (Exception e)
+			{
+				LoggingUtils.Log(verbose ? Level.Info : Level.Debug, $"Read of type {typeof(T)} failed with {e}, returning default value.", ClazzLogger);
+			}
+
+			return originalValue;
+		}
+
 		/// <summary>
 		/// Traverse the object graph of a given object (i.e. all related and referenced objects, recursively).
 		/// </summary>
@@ -149,7 +181,7 @@ internal static void TraverseObjectGraph(object root, ISet<object> traversedObje
 			do
 			{
 				FieldInfo[] fields = type.GetFields(BindingFlags.Instance | BindingFlags.NonPublic | BindingFlags.Public);
-                // hierarchy change listeners..
+				// hierarchy change listeners..
 				// for every type check all fields for relevance
 				foreach (FieldInfo field in fields)
 				{
@@ -162,7 +194,7 @@ internal static void TraverseObjectGraph(object root, ISet<object> traversedObje
 
 					if (value != null)
 					{
-                        // Note: I am completely aware how awful this "optimisation" is, but it works and there currently is no time to implement a better system.
+						// Note: I am completely aware how awful this "optimisation" is, but it works and there currently is no time to implement a better system.
 						string ns = value.GetType().Namespace;
 						bool boringType = ns.StartsWith("System") && !ns.StartsWith("System.Collections") || ns.StartsWith("log4net");
 
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index 58bc0e15..b004fc21 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -73,6 +73,8 @@ private static void SampleTrainerOperatorWorkerIris()
                                             + FullyConnectedLayer.Construct(3)
                                             + OutputLayer.Construct(3)
                                             + SquaredDifferenceCostLayer.Construct();
+            trainer.Network = Serialisation.ReadFromBinaryFileIfExists<INetwork>("iris.sgnet", trainer.Network);
+
             trainer.TrainingDataIterator = new MinibatchIterator(4, dataset);
             trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
             trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.9);

From fada53ae3318acd48d65a9f5a60faef5ab3a6398 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Thu, 13 Apr 2017 23:12:35 +0200
Subject: [PATCH 15/40] Add network recovery when resuming training, fix
 serialisation issue with criteria

Add network recovery when resuming training, fix serialisation issue
with criteria
---
 Sigma.Core/Architecture/INetwork.cs           |  10 +
 Sigma.Core/Architecture/Network.cs            | 484 +++++-----
 .../Training/Hooks/HookInvokeCriteria.cs      |   1 +
 .../Training/Hooks/Saviors/DiskSaviorHook.cs  |  37 +-
 Sigma.Core/Training/ITrainer.cs               |   8 +-
 Sigma.Core/Training/Trainer.cs                | 826 ++++++++++--------
 Sigma.Tests.Internals.Backend/Program.cs      |   2 +-
 7 files changed, 745 insertions(+), 623 deletions(-)

diff --git a/Sigma.Core/Architecture/INetwork.cs b/Sigma.Core/Architecture/INetwork.cs
index 5666ab18..b99ace47 100644
--- a/Sigma.Core/Architecture/INetwork.cs
+++ b/Sigma.Core/Architecture/INetwork.cs
@@ -34,6 +34,16 @@ public interface INetwork : IDeepCopyable
 		/// </summary>
 		IRegistry Registry { get; }
 
+		/// <summary>
+		/// The computation handler associated with this network, which is used for initialisation and copy operations.
+		/// </summary>
+		IComputationHandler AssociatedHandler { get; set; }
+
+		/// <summary>
+		/// Indicate if this network was already initialised.
+		/// </summary>
+		bool Initialised { get; }
+
 		/// <summary>
 		/// Validate this network (e.g. ensure all connections are correctly assigned and compatible). 
 		/// </summary>
diff --git a/Sigma.Core/Architecture/Network.cs b/Sigma.Core/Architecture/Network.cs
index 095a99b8..0c04e528 100644
--- a/Sigma.Core/Architecture/Network.cs
+++ b/Sigma.Core/Architecture/Network.cs
@@ -19,268 +19,284 @@ For full license see LICENSE in the root directory of this project.
 
 namespace Sigma.Core.Architecture
 {
-	/// <summary>
-	/// A default implementation of the <see cref="INetwork"/> interface.
-	/// Represents a neural network consisting of interconnected neural layers and a network architecture.
-	/// </summary>
-	[Serializable]
-	public class Network : INetwork
-	{
-		/// <inheritdoc />
-		public INetworkArchitecture Architecture { get; set; }
-
-		/// <inheritdoc />
-		public string Name { get; }
-
-		/// <inheritdoc />
-		public IRegistry Registry { get; }
-
-		[NonSerialized]
-		private readonly ILog _logger = LogManager.GetLogger(System.Reflection.MethodBase.GetCurrentMethod().DeclaringType);
-		private readonly List<InternalLayerBuffer> _orderedLayerBuffers;
-		private readonly List<InternalLayerBuffer> _externalInputsLayerBuffers;
-		private readonly List<InternalLayerBuffer> _externalOutputsLayerBuffers;
-		private List<ILayer> _orderedLayers;
+    /// <summary>
+    /// A default implementation of the <see cref="INetwork"/> interface.
+    /// Represents a neural network consisting of interconnected neural layers and a network architecture.
+    /// </summary>
+    [Serializable]
+    public class Network : INetwork
+    {
+        /// <inheritdoc />
+        public INetworkArchitecture Architecture { get; set; }
+
+        /// <inheritdoc />
+        public string Name { get; }
+
+        /// <inheritdoc />
+        public IRegistry Registry { get; }
+
+        /// <summary>
+        /// The computation handler associated with this network, which is used for initialisation and copy operations.
+        /// Note: Set this 
+        /// </summary>
+        public IComputationHandler AssociatedHandler
+        {
+            get { return _associatedHandler; }
+            set { _associatedHandler = value; }
+        }
+
+        /// <inheritdoc />
+        public bool Initialised { get { return _initialised; } }
 
         [NonSerialized]
-		private IComputationHandler _initialisationHandler;
-		private bool _initialised;
-
-		/// <summary>
-		/// Create a network with a certain unique name.
-		/// </summary>
-		/// <param name="name">The name.</param>
-		public Network(string name = "unnamed")
-		{
-			if (name == null) throw new ArgumentNullException(nameof(name));
-
-			Name = name;
-			Registry = new Registry(tags: "network");
-			_orderedLayerBuffers = new List<InternalLayerBuffer>();
-			_externalInputsLayerBuffers = new List<InternalLayerBuffer>();
-			_externalOutputsLayerBuffers = new List<InternalLayerBuffer>();
-		}
-
-		/// <inheritdoc />
-		public virtual object DeepCopy()
-		{
-			Network copy = new Network(Name);
-			copy.Architecture = (INetworkArchitecture) Architecture.DeepCopy();
-
-			if (_initialised)
-			{
-				copy.Initialise(_initialisationHandler);
-
-				for (int i = 0; i < _orderedLayerBuffers.Count; i++)
-				{
-					InternalLayerBuffer originalBuffer = _orderedLayerBuffers[i];
-					InternalLayerBuffer copyBuffer = copy._orderedLayerBuffers[i];
-
-					foreach (string parameterIdentifier in originalBuffer.Parameters.Keys.ToArray())
-					{
-						object value = originalBuffer.Parameters[parameterIdentifier];
-						IDeepCopyable deepCopyableValue = value as IDeepCopyable;
-						object copiedValue;
+        private readonly ILog _logger = LogManager.GetLogger(System.Reflection.MethodBase.GetCurrentMethod().DeclaringType);
+        private readonly List<InternalLayerBuffer> _orderedLayerBuffers;
+        private readonly List<InternalLayerBuffer> _externalInputsLayerBuffers;
+        private readonly List<InternalLayerBuffer> _externalOutputsLayerBuffers;
+        private List<ILayer> _orderedLayers;
 
-						// copy and copy efficiently by any means possible
-						if (deepCopyableValue == null)
-						{
-						    ICloneable cloneableValue = value as ICloneable;
-						    copiedValue = cloneableValue?.Clone() ?? value;
-						}
-						else
-						{
-							INDArray asNDArray = value as INDArray;
-
-							if (asNDArray != null)
-							{
-								_initialisationHandler.Fill(asNDArray, copyBuffer.Parameters.Get<INDArray>(parameterIdentifier));
-							}
-
-							copiedValue = deepCopyableValue.DeepCopy();
-						}
-
-						copyBuffer.Parameters[parameterIdentifier] = copiedValue;
-					}
-				}
-			}
-
-			return copy;
-		}
-
-		/// <inheritdoc />
-		public void Validate()
-		{
-			if (Architecture == null)
-			{
-				throw new InvalidOperationException("Cannot validate network before assigning a network architecture.");
-			}
-
-			Architecture.Validate();
-		}
-
-		/// <inheritdoc />
-		public void Initialise(IComputationHandler handler)
-		{
-			if (handler == null) throw new ArgumentNullException(nameof(handler));
-
-			if (Architecture == null)
-			{
-				throw new InvalidOperationException("Cannot initialise network before assigning a network architecture.");
-			}
-
-			_logger.Debug($"Initialising network \"{Name}\" for handler {handler} containing {Architecture.LayerCount} layers...");
-
-			_initialisationHandler = handler;
-
-			ITaskObserver prepareTask = SigmaEnvironment.TaskManager.BeginTask(TaskType.Prepare);
-
-			Architecture.ResolveAllNames();
-
-			_orderedLayerBuffers.Clear();
-			_externalInputsLayerBuffers.Clear();
-			_externalOutputsLayerBuffers.Clear();
-
-			Dictionary<Tuple<LayerConstruct, LayerConstruct>, IRegistry> mappedRegistriesByInOutputs = new Dictionary<Tuple<LayerConstruct, LayerConstruct>, IRegistry>();
-
-			foreach (LayerConstruct layerConstruct in Architecture.YieldLayerConstructsOrdered())
-			{
-				ILayer layer = layerConstruct.InstantiateLayer(handler);
-
-				Dictionary<string, IRegistry> inputs = new Dictionary<string, IRegistry>();
-
-				foreach (string externalInputAlias in layerConstruct.ExternalInputs)
-				{
-					inputs[externalInputAlias] = new Registry(tags: "external_input");
-				}
-
-				foreach (string inputAlias in layerConstruct.Inputs.Keys)
-				{
-					inputs[inputAlias] = mappedRegistriesByInOutputs[new Tuple<LayerConstruct, LayerConstruct>(layerConstruct.Inputs[inputAlias], layerConstruct)];
-				}
-
-				Dictionary<string, IRegistry> outputs = new Dictionary<string, IRegistry>();
-
-				foreach (string externalOutputAlias in layerConstruct.ExternalOutputs)
-				{
-					outputs[externalOutputAlias] = new Registry(tags: "external_output");
-				}
-
-				foreach (string outputAlias in layerConstruct.Outputs.Keys)
-				{
-					LayerConstruct outputConstruct = layerConstruct.Outputs[outputAlias];
-
-					Tuple<LayerConstruct, LayerConstruct> inOuTuple = new Tuple<LayerConstruct, LayerConstruct>(layerConstruct, outputConstruct);
+        [NonSerialized]
+        private IComputationHandler _associatedHandler;
+        private bool _initialised;
+        
+        /// <summary>
+        /// Create a network with a certain unique name.
+        /// </summary>
+        /// <param name="name">The name.</param>
+        public Network(string name = "unnamed")
+        {
+            if (name == null) throw new ArgumentNullException(nameof(name));
+
+            Name = name;
+            Registry = new Registry(tags: "network");
+            _orderedLayerBuffers = new List<InternalLayerBuffer>();
+            _externalInputsLayerBuffers = new List<InternalLayerBuffer>();
+            _externalOutputsLayerBuffers = new List<InternalLayerBuffer>();
+        }
+
+        /// <inheritdoc />
+        public virtual object DeepCopy()
+        {
+            Network copy = new Network(Name);
+            copy.Architecture = (INetworkArchitecture) Architecture.DeepCopy();
+
+            if (_initialised)
+            {
+                copy.Initialise(_associatedHandler);
+
+                for (int i = 0; i < _orderedLayerBuffers.Count; i++)
+                {
+                    InternalLayerBuffer originalBuffer = _orderedLayerBuffers[i];
+                    InternalLayerBuffer copyBuffer = copy._orderedLayerBuffers[i];
+
+                    foreach (string parameterIdentifier in originalBuffer.Parameters.Keys.ToArray())
+                    {
+                        object value = originalBuffer.Parameters[parameterIdentifier];
+                        IDeepCopyable deepCopyableValue = value as IDeepCopyable;
+                        object copiedValue;
+
+                        // copy and copy efficiently by any means possible
+                        if (deepCopyableValue == null)
+                        {
+                            ICloneable cloneableValue = value as ICloneable;
+                            copiedValue = cloneableValue?.Clone() ?? value;
+                        }
+                        else
+                        {
+                            INDArray asNDArray = value as INDArray;
+
+                            if (asNDArray != null)
+                            {
+                                _associatedHandler.Fill(asNDArray, copyBuffer.Parameters.Get<INDArray>(parameterIdentifier));
+                                copiedValue = copyBuffer.Parameters.Get<INDArray>(parameterIdentifier);
+                            }
+                            else
+                            {
+                                copiedValue = deepCopyableValue.DeepCopy();
+                            }
+                        }
+
+                        copyBuffer.Parameters[parameterIdentifier] = copiedValue;
+                    }
+                }
+            }
+
+            return copy;
+        }
+
+        /// <inheritdoc />
+        public void Validate()
+        {
+            if (Architecture == null)
+            {
+                throw new InvalidOperationException("Cannot validate network before assigning a network architecture.");
+            }
+
+            Architecture.Validate();
+        }
+
+        /// <inheritdoc />
+        public void Initialise(IComputationHandler handler)
+        {
+            if (handler == null) throw new ArgumentNullException(nameof(handler));
+
+            if (Architecture == null)
+            {
+                throw new InvalidOperationException("Cannot initialise network before assigning a network architecture.");
+            }
+
+            _logger.Debug($"Initialising network \"{Name}\" for handler {handler} containing {Architecture.LayerCount} layers...");
+
+            _associatedHandler = handler;
+
+            ITaskObserver prepareTask = SigmaEnvironment.TaskManager.BeginTask(TaskType.Prepare);
+
+            Architecture.ResolveAllNames();
+
+            _orderedLayerBuffers.Clear();
+            _externalInputsLayerBuffers.Clear();
+            _externalOutputsLayerBuffers.Clear();
+
+            Dictionary<Tuple<LayerConstruct, LayerConstruct>, IRegistry> mappedRegistriesByInOutputs = new Dictionary<Tuple<LayerConstruct, LayerConstruct>, IRegistry>();
+
+            foreach (LayerConstruct layerConstruct in Architecture.YieldLayerConstructsOrdered())
+            {
+                ILayer layer = layerConstruct.InstantiateLayer(handler);
+
+                Dictionary<string, IRegistry> inputs = new Dictionary<string, IRegistry>();
+
+                foreach (string externalInputAlias in layerConstruct.ExternalInputs)
+                {
+                    inputs[externalInputAlias] = new Registry(tags: "external_input");
+                }
 
-					Registry outRegistry = new Registry(tags: "internal");
+                foreach (string inputAlias in layerConstruct.Inputs.Keys)
+                {
+                    inputs[inputAlias] = mappedRegistriesByInOutputs[new Tuple<LayerConstruct, LayerConstruct>(layerConstruct.Inputs[inputAlias], layerConstruct)];
+                }
 
-					mappedRegistriesByInOutputs.Add(inOuTuple, outRegistry);
+                Dictionary<string, IRegistry> outputs = new Dictionary<string, IRegistry>();
 
-					outputs[outputAlias] = outRegistry;
-				}
+                foreach (string externalOutputAlias in layerConstruct.ExternalOutputs)
+                {
+                    outputs[externalOutputAlias] = new Registry(tags: "external_output");
+                }
 
-				InternalLayerBuffer layerBuffer = new InternalLayerBuffer(layer, layerConstruct.Parameters, inputs, outputs,
-					layerConstruct.ExternalInputs, layerConstruct.ExternalOutputs);
+                foreach (string outputAlias in layerConstruct.Outputs.Keys)
+                {
+                    LayerConstruct outputConstruct = layerConstruct.Outputs[outputAlias];
+
+                    Tuple<LayerConstruct, LayerConstruct> inOuTuple = new Tuple<LayerConstruct, LayerConstruct>(layerConstruct, outputConstruct);
 
-				_orderedLayerBuffers.Add(layerBuffer);
+                    Registry outRegistry = new Registry(tags: "internal");
+
+                    mappedRegistriesByInOutputs.Add(inOuTuple, outRegistry);
+
+                    outputs[outputAlias] = outRegistry;
+                }
 
-				if (layerConstruct.ExternalInputs.Length > 0)
-				{
-					_externalInputsLayerBuffers.Add(layerBuffer);
-				}
+                InternalLayerBuffer layerBuffer = new InternalLayerBuffer(layer, layerConstruct.Parameters, inputs, outputs,
+                    layerConstruct.ExternalInputs, layerConstruct.ExternalOutputs);
+
+                _orderedLayerBuffers.Add(layerBuffer);
+
+                if (layerConstruct.ExternalInputs.Length > 0)
+                {
+                    _externalInputsLayerBuffers.Add(layerBuffer);
+                }
 
-				if (layerConstruct.ExternalOutputs.Length > 0)
-				{
-					_externalOutputsLayerBuffers.Add(layerBuffer);
-				}
-			}
+                if (layerConstruct.ExternalOutputs.Length > 0)
+                {
+                    _externalOutputsLayerBuffers.Add(layerBuffer);
+                }
+            }
 
-			_orderedLayers = _orderedLayerBuffers.ConvertAll(buffer => buffer.Layer);
+            _orderedLayers = _orderedLayerBuffers.ConvertAll(buffer => buffer.Layer);
 
-			UpdateRegistry();
+            UpdateRegistry();
 
-			SigmaEnvironment.TaskManager.EndTask(prepareTask);
+            SigmaEnvironment.TaskManager.EndTask(prepareTask);
 
-			_initialised = true;
+            _initialised = true;
 
-			_logger.Debug($"Done initialising network \"{Name}\" for handler {handler} containing {Architecture.LayerCount} layers.");
-		}
+            _logger.Debug($"Done initialising network \"{Name}\" for handler {handler} containing {Architecture.LayerCount} layers.");
+        }
 
-		protected virtual void UpdateRegistry()
-		{
-			Registry.Clear();
+        protected virtual void UpdateRegistry()
+        {
+            Registry.Clear();
 
-			Registry["initialised"] = _initialised;
-			Registry["self"] = this;
-			Registry["name"] = Name;
-			Registry["architecture"] = Architecture?.Registry;
+            Registry["initialised"] = _initialised;
+            Registry["self"] = this;
+            Registry["name"] = Name;
+            Registry["architecture"] = Architecture?.Registry;
 
-			Registry layersRegistry = new Registry(Registry);
-			Registry["layers"] = layersRegistry;
+            Registry layersRegistry = new Registry(Registry);
+            Registry["layers"] = layersRegistry;
 
-			foreach (InternalLayerBuffer layerBuffer in _orderedLayerBuffers)
-			{
-				layersRegistry[layerBuffer.Layer.Name] = layerBuffer.Layer.Parameters;
-			}
-		}
+            foreach (InternalLayerBuffer layerBuffer in _orderedLayerBuffers)
+            {
+                layersRegistry[layerBuffer.Layer.Name] = layerBuffer.Layer.Parameters;
+            }
+        }
 
-		/// <inheritdoc />
-		public void Run(IComputationHandler handler, bool trainingPass)
-		{
-			if (handler == null) throw new ArgumentNullException(nameof(handler));
+        /// <inheritdoc />
+        public void Run(IComputationHandler handler, bool trainingPass)
+        {
+            if (handler == null) throw new ArgumentNullException(nameof(handler));
 
-			foreach (InternalLayerBuffer layerBuffer in _orderedLayerBuffers)
-			{
-				layerBuffer.Layer.Run(layerBuffer, handler, trainingPass);
-			}
-		}
+            foreach (InternalLayerBuffer layerBuffer in _orderedLayerBuffers)
+            {
+                layerBuffer.Layer.Run(layerBuffer, handler, trainingPass);
+            }
+        }
 
-		/// <inheritdoc />
-		public void Reset()
-		{
-			_logger.Debug($"Resetting network \"{Name}\" to un-initialised state...");
+        /// <inheritdoc />
+        public void Reset()
+        {
+            _logger.Debug($"Resetting network \"{Name}\" to un-initialised state...");
 
-			_orderedLayerBuffers.Clear();
-			_orderedLayers.Clear();
-			_externalInputsLayerBuffers.Clear();
-			_externalOutputsLayerBuffers.Clear();
+            _orderedLayerBuffers.Clear();
+            _orderedLayers.Clear();
+            _externalInputsLayerBuffers.Clear();
+            _externalOutputsLayerBuffers.Clear();
 
-			_initialised = false;
-			_initialisationHandler = null;
+            _initialised = false;
+            _associatedHandler = null;
 
-			UpdateRegistry();
+            UpdateRegistry();
 
-			_logger.Debug($"Done resetting network \"{Name}\". All layer buffer information was discarded.");
-		}
+            _logger.Debug($"Done resetting network \"{Name}\". All layer buffer information was discarded.");
+        }
 
-		/// <inheritdoc />
-		public IEnumerable<ILayer> YieldLayersOrdered()
-		{
-			return _orderedLayers;
-		}
+        /// <inheritdoc />
+        public IEnumerable<ILayer> YieldLayersOrdered()
+        {
+            return _orderedLayers;
+        }
 
-		/// <inheritdoc />
-		public IEnumerable<ILayerBuffer> YieldLayerBuffersOrdered()
-		{
-			return _orderedLayerBuffers;
-		}
+        /// <inheritdoc />
+        public IEnumerable<ILayerBuffer> YieldLayerBuffersOrdered()
+        {
+            return _orderedLayerBuffers;
+        }
 
-		/// <inheritdoc />
-		public IEnumerable<ILayerBuffer> YieldExternalInputsLayerBuffers()
-		{
-			return _externalInputsLayerBuffers;
-		}
+        /// <inheritdoc />
+        public IEnumerable<ILayerBuffer> YieldExternalInputsLayerBuffers()
+        {
+            return _externalInputsLayerBuffers;
+        }
 
-		/// <inheritdoc />
-		public IEnumerable<ILayerBuffer> YieldExternalOutputsLayerBuffers()
-		{
-			return _externalOutputsLayerBuffers;
-		}
-
-		/// <inheritdoc />
-		public INetworkSelector<INetwork> Select()
-		{
-			return new DefaultNetworkSelector<INetwork>(this);
-		}
-	}
+        /// <inheritdoc />
+        public IEnumerable<ILayerBuffer> YieldExternalOutputsLayerBuffers()
+        {
+            return _externalOutputsLayerBuffers;
+        }
+
+        /// <inheritdoc />
+        public INetworkSelector<INetwork> Select()
+        {
+            return new DefaultNetworkSelector<INetwork>(this);
+        }
+    }
 }
diff --git a/Sigma.Core/Training/Hooks/HookInvokeCriteria.cs b/Sigma.Core/Training/Hooks/HookInvokeCriteria.cs
index 493d3328..2914febd 100644
--- a/Sigma.Core/Training/Hooks/HookInvokeCriteria.cs
+++ b/Sigma.Core/Training/Hooks/HookInvokeCriteria.cs
@@ -370,6 +370,7 @@ public override string ToString()
 	/// <summary>
 	/// An extrema criteria that fires when a value has reached a new extrema (min / max).
 	/// </summary>
+	[Serializable]
 	public class ExtremaCriteria : HookInvokeCriteria
 	{
 		/// <summary>
diff --git a/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs b/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
index 484e3773..654c945a 100644
--- a/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
+++ b/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
@@ -7,14 +7,16 @@ For full license see LICENSE in the root directory of this project.
 */
 
 using System;
-using System.IO;
 using log4net;
-using log4net.Core;
 using Sigma.Core.Persistence;
 using Sigma.Core.Utils;
 
 namespace Sigma.Core.Training.Hooks.Saviors
 {
+    /// <summary>
+    /// A disk savior hook for selectively storing certain objects on disk on certain conditions / at certain intervals.
+    /// </summary>
+    /// <typeparam name="T">The type of object to store.</typeparam>
     [Serializable]
     public class DiskSaviorHook<T> : BaseHook
     {
@@ -27,12 +29,34 @@ public class DiskSaviorHook<T> : BaseHook
         /// <param name="timestep">The time step.</param>
         /// <param name="registryEntryToSave"></param>
         /// <param name="fileName">The file name to store to disk as.</param>
-        /// <param name="selectFunction">The select function to apply.</param>
+        /// <param name="verbose">Indicate whether or not to report when the specified object was serialised.</param>
+        public DiskSaviorHook(string registryEntryToSave, string fileName, bool verbose = true) : this(Utils.TimeStep.Every(1, TimeScale.Iteration), registryEntryToSave, fileName, verbose)
+        {
+        }
+
+        /// <summary>
+        /// Create a savior hook that will automatically serialise a certain registry entry.
+        /// </summary>
+        /// <param name="timestep">The time step.</param>
+        /// <param name="registryEntryToSave"></param>
+        /// <param name="fileName">The file name to store to disk as.</param>
         /// <param name="verbose">Indicate whether or not to report when the specified object was serialised.</param>
         public DiskSaviorHook(ITimeStep timestep, string registryEntryToSave, string fileName, bool verbose = true) : this(timestep, registryEntryToSave, fileName, o => o, verbose)
         {
         }
 
+        /// <summary>
+        /// Create a savior hook that will automatically serialise a certain registry entry.
+        /// </summary>
+        /// <param name="timestep">The time step.</param>
+        /// <param name="registryEntryToSave"></param>
+        /// <param name="fileName">The file name to store to disk as.</param>
+        /// <param name="selectFunction">The select function to apply.</param>
+        /// <param name="verbose">Indicate whether or not to report when the specified object was serialised.</param>
+        public DiskSaviorHook(string registryEntryToSave, string fileName, Func<T, T> selectFunction, bool verbose = true) : this(Utils.TimeStep.Every(1, TimeScale.Iteration), registryEntryToSave, fileName, selectFunction, verbose)
+        {
+        }
+
         /// <summary>
         /// Create a savior hook that will automatically serialise a certain registry entry.
         /// </summary>
@@ -70,11 +94,14 @@ public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
 
             toSerialise = selectFunction.Invoke((T) toSerialise);
 
-            Serialisation.WriteBinaryFile(toSerialise, fileName, verbose: false);
+            lock (fileName)
+            {
+                Serialisation.WriteBinaryFile(toSerialise, fileName, verbose: false);
+            }
 
             if (verbose)
             {
-                _logger.Info($"Saved \"{registryEntryToSave}\" to \"{SigmaEnvironment.Globals.Get<string>("storage_path")}/{fileName}\".");
+                _logger.Info($"Saved \"{registryEntryToSave}\" to \"{SigmaEnvironment.Globals.Get<string>("storage_path")}{fileName}\".");
             }
         }
     }
diff --git a/Sigma.Core/Training/ITrainer.cs b/Sigma.Core/Training/ITrainer.cs
index 418ba746..b0dfdcd6 100644
--- a/Sigma.Core/Training/ITrainer.cs
+++ b/Sigma.Core/Training/ITrainer.cs
@@ -98,6 +98,11 @@ public interface ITrainer
 		/// </summary>
 		IRegistry Registry { get; }
 
+		/// <summary>
+		/// Force (re-) initialisation of this trainer's <see cref="Network"/>, ignoring whether it has already been initialised or not.
+		/// </summary>
+		bool ForceInitialisation { get; set; }
+
 		/// <summary>
 		/// Add an initialiser by registry resolve string (e.g. FC*.weights, *.weights, Layer1.biases, Layer2.*).
 		/// Registry resolve notation may be used as the initialiser will be executed on all ndarrays which resolve to a match in a certain layer and match identifier. 
@@ -143,7 +148,8 @@ public interface ITrainer
 		void AddLocalHook(IHook hook);
 
 		/// <summary>
-		/// Initialise this trainer and the network to be trained using the set initialisers. Set up all handlers and constructs used to run the trainer. 
+		/// Initialise this trainer and the network to be trained using the set initialisers (if the network is not already initialised or force initialisation is set). 
+		/// Set up all handlers and constructs used to run the trainer. 
 		/// </summary>
 		/// <param name="handler">The computation handler to initialise for (must be the interchangeable with the one used for running the network).</param>
 		void Initialise(IComputationHandler handler);
diff --git a/Sigma.Core/Training/Trainer.cs b/Sigma.Core/Training/Trainer.cs
index f7b6db59..353184ae 100644
--- a/Sigma.Core/Training/Trainer.cs
+++ b/Sigma.Core/Training/Trainer.cs
@@ -27,386 +27,448 @@ For full license see LICENSE in the root directory of this project.
 
 namespace Sigma.Core.Training
 {
-	/// <summary>
-	/// The default <see cref="ITrainer"/> implementation.
-	/// A trainer that defines how a network should be trained, denoting initialisers, optimiser, operator, custom hooks and data to apply and use. 
-	/// </summary>
-	[Serializable]
-	public class Trainer : ITrainer
-	{
-		[NonSerialized]
-		private readonly ILog _logger = LogManager.GetLogger(MethodBase.GetCurrentMethod().DeclaringType);
-		private readonly IList<IHook> _localHooks;
-		private readonly IList<IHook> _globalHooks;
-		private readonly Dictionary<string, IDataIterator> _additionalNameDataIterators;
-		private readonly IList<IHook> _allHooks;
-		private readonly IDictionary<string, IInitialiser> _initialisers;
-		private readonly IDictionary<string, ISet<IValueModifier>> _valueModifiers;
-		private bool _initialised;
-
-		public string Name { get; }
-		public SigmaEnvironment Sigma { get; set; }
-		public INetwork Network { get; set; }
-		public IOptimiser Optimiser { get; set; }
-		public IOperator Operator { get; set; } = new CpuSinglethreadedOperator();
-		public IDataProvider DataProvider { get; set; } = new DefaultDataProvider();
-
-		public IReadOnlyDictionary<string, IInitialiser> Initialisers { get; }
-		public IDataIterator TrainingDataIterator { get; set; }
-		public IReadOnlyDictionary<string, IDataIterator> AdditionalNameDataIterators { get; }
-		public IReadOnlyCollection<IHook> Hooks { get; }
-		public IReadOnlyCollection<IHook> GlobalHooks { get; }
-		public IReadOnlyCollection<IHook> LocalHooks { get; }
-		public IReadOnlyDictionary<string, ISet<IValueModifier>> ValueModifiers { get; }
-		public IRegistry Registry { get; }
-
-		public Trainer(string name)
-		{
-			if (name == null) throw new ArgumentNullException(nameof(name));
-
-			Name = name;
-
-			_allHooks = new List<IHook>();
-			_localHooks = new List<IHook>();
-			_globalHooks = new List<IHook>();
-			_additionalNameDataIterators = new Dictionary<string, IDataIterator>();
-			_initialisers = new Dictionary<string, IInitialiser>();
-			_valueModifiers = new Dictionary<string, ISet<IValueModifier>>();
-
-			Hooks = new ReadOnlyCollection<IHook>(_allHooks);
-			GlobalHooks = new ReadOnlyCollection<IHook>(_globalHooks);
-			LocalHooks = new ReadOnlyCollection<IHook>(_localHooks);
-			AdditionalNameDataIterators = new ReadOnlyDictionary<string, IDataIterator>(_additionalNameDataIterators);
-			ValueModifiers = new ReadOnlyDictionary<string, ISet<IValueModifier>>(_valueModifiers);
-			Initialisers = new ReadOnlyDictionary<string, IInitialiser>(_initialisers);
-			Registry = new Registry(tags: "trainer");
-			Registry["self"] = this;
-		}
-
-		public void AddNamedDataIterator(string name, IDataIterator iterator)
-		{
-			if (_additionalNameDataIterators.ContainsKey(name))
-			{
-				throw new ArgumentException($"Named data iterator with name {name} already registered in this trainer ({Name}).");
-			}
-
-			_additionalNameDataIterators.Add(name, iterator);
-		}
-
-		public void AddInitialiser(string identifier, IInitialiser initialiser)
-		{
-			if (identifier == null) { throw new ArgumentNullException(nameof(identifier)); }
-			if (initialiser == null) { throw new ArgumentNullException(nameof(initialiser)); }
-
-			if (_initialisers.ContainsKey(identifier))
-			{
-				throw new InvalidOperationException($"Cannot add duplicate identifier {identifier} for initialiser {initialiser}," +
-													$" identifier is already bound to initialiser {_initialisers[identifier]}");
-			}
-
-			_initialisers.Add(identifier, initialiser);
-		}
-
-		public void AddValueModifier(string identifier, IValueModifier modifier)
-		{
-			_valueModifiers.TryGetValue(identifier, () => new HashSet<IValueModifier>()).Add(modifier);
-		}
-
-		public void AddHook(IHook hook)
-		{
-			if (hook.DefaultTargetMode == TargetMode.Local)
-			{
-				AddLocalHook(hook);
-			}
-			else if (hook.DefaultTargetMode == TargetMode.Global)
-			{
-				AddGlobalHook(hook);
-			}
-			else
-			{
-				throw new InvalidOperationException($"Ambiguous add hook call for hook {hook} with target mode {hook.DefaultTargetMode}. " +
-													$"Target mode must be explicitly {nameof(TargetMode.Local)} or {nameof(TargetMode.Global)} for implicit hook add to work" +
-													$" (i.e. unable to determine where to add this hook, specify it explicitly in the caller).");
-			}
-		}
-
-		public void AddLocalHook(IHook hook)
-		{
-			if (Hooks.Contains(hook))
-			{
-				throw new ArgumentException($"Duplicate hook {hook}, hook already registered in this trainer ({Name}).");
-			}
-
-			_allHooks.Add(hook);
-			_localHooks.Add(hook);
-		}
-
-		public void AddGlobalHook(IHook hook)
-		{
-			if (Hooks.Contains(hook))
-			{
-				throw new ArgumentException($"Duplicate hook {hook}, hook already registered in this trainer ({Name}).");
-			}
-
-			_allHooks.Add(hook);
-			_globalHooks.Add(hook);
-		}
-
-		public void Initialise(IComputationHandler handler)
-		{
-			ValidateAssignedComponents();
-
-			_logger.Info($"Initialising trainer \"{Name}\" with handler {handler}...");
-
-			ITaskObserver prepareTask = SigmaEnvironment.TaskManager.BeginTask(TaskType.Prepare, $"Preparing trainer {Name}");
-
-			Network.Initialise(handler);
-
-			RegistryResolver networkResolver = new RegistryResolver(Network.Registry.Get<IRegistry>("layers"));
-			int initialisedNDArrayCount = 0, initialisedNumberCount = 0;
-			List<string> orderedInitialiserIdentifiers = _initialisers.Keys.ToList();
-			orderedInitialiserIdentifiers.Sort(RegistryUtils.CompareIdentifierSpecificityAscending);
-
-			foreach (string identifier in orderedInitialiserIdentifiers)
-			{
-				object[] values = networkResolver.ResolveGet(identifier, new object[0]);
-				IInitialiser initialiser = _initialisers[identifier];
-
-				foreach (object value in values)
-				{
-					INDArray array = value as INDArray;
-
-					if (array != null)
-					{
-						initialiser.Initialise(array, handler, Sigma.Random);
-						initialisedNDArrayCount++;
-					}
-					else
-					{
-						INumber number = value as INumber;
-
-						if (number != null)
-						{
-							initialiser.Initialise(number, handler, Sigma.Random);
-							initialisedNumberCount++;
-						}
-					}
-				}
-			}
-
-			Operator.Sigma = Sigma;
-			Operator.Handler = Operator.Handler ?? handler;
-			Operator.Network = Network;
-			Operator.Trainer = this;
-
-			// attach all given hooks
-			foreach (IHook hook in _globalHooks)
-			{
-				if (!Operator.AttachGlobalHook(hook))
-				{
-					_logger.Debug($"Skipped attaching global hook {hook} in trainer \"{Name}\", operator refused to attach it.");
-				}
-			}
-
-			foreach (IHook hook in _localHooks)
-			{
-				if (!Operator.AttachLocalHook(hook))
-				{
-					_logger.Debug($"Skipped attaching local hook {hook} in trainer \"{Name}\", operator refused to attach it.");
-				}
-			}
-
-			UpdateRegistry();
-
-			_initialised = true;
-
-			SigmaEnvironment.TaskManager.EndTask(prepareTask);
-
-			_logger.Info($"Done initialising trainer \"{Name}\" for handler {handler}, initialised {initialisedNDArrayCount} ndarrays and {initialisedNumberCount} numbers.");
-		}
-
-		protected virtual void UpdateRegistry()
-		{
-			Registry["initialised"] = _initialised;
-			Registry["name"] = Name;
-			Registry["network"] = Network?.Registry;
-			Registry["optimiser"] = Optimiser?.Registry;
-
-			Registry initialiserRegistry = new Registry(Registry, tags: "initialisers");
-			Registry["initialisers"] = initialiserRegistry;
-
-			foreach (string initialiserMatchIdentifier in Initialisers.Keys)
-			{
-				initialiserRegistry[initialiserMatchIdentifier] = Initialisers[initialiserMatchIdentifier];
-			}
-		}
-
-		private void ValidateAssignedComponents()
-		{
-			if (Network == null)
-			{
-				throw new InvalidOperationException($"Cannot initialise trainer {Name} before assigning a network.");
-			}
-
-			if (Sigma == null)
-			{
-				throw new InvalidOperationException($"Cannot initialise trainer {Name} before assigning a sigma environment.");
-			}
-
-			if (Operator == null)
-			{
-				throw new InvalidOperationException($"Cannot initialise trainer {Name} before assigning an operator.");
-			}
-
-			if (DataProvider == null)
-			{
-				throw new InvalidOperationException($"Cannot initialise trainer {Name} before assigning a data provider.");
-			}
-
-			Network.Validate();
-		}
-
-		private void CheckInitialised()
-		{
-			if (!_initialised)
-			{
-				throw new InvalidOperationException($"Trainer {Name} has not been initialised yet. Call {nameof(Initialise)}!");
-			}
-		}
-
-		public void Start()
-		{
-			_logger.Info($"Validating trainer state of trainer {Name} before start...");
-
-			ValidateAssignedComponents();
-			CheckInitialised();
-
-			_logger.Info($"Starting operator {Operator} with trainer {Name}...");
-
-			Operator.Network = Network;
-			Operator.Trainer = this;
-
-			Operator.Start();
-		}
-
-		public void RunTrainingIteration(INetwork localNetwork, IOptimiser localOptimiser, IRegistry localRegistry, IComputationHandler handler)
-		{
-			if (localNetwork == null) throw new ArgumentNullException(nameof(localNetwork));
-			if (localOptimiser == null) throw new ArgumentNullException(nameof(localOptimiser));
-			if (localRegistry == null) throw new ArgumentNullException(nameof(localRegistry));
-			if (handler == null) throw new ArgumentNullException(nameof(handler));
-
-			CheckInitialised();
-
-			localOptimiser.PrepareRun(localNetwork, handler);
-			localNetwork.Run(handler, trainingPass: true);
-			localOptimiser.Run(localNetwork, handler);
-			ApplyValueModifiers(localRegistry, handler);
-		}
-
-		private void ApplyValueModifiers(IRegistry localRegistry, IComputationHandler handler)
-		{
-			if (_valueModifiers.Count == 0)
-			{
-				return;
-			}
-
-			RegistryResolver resolver = new RegistryResolver(localRegistry);
-
-			foreach (string identifier in _valueModifiers.Keys)
-			{
-				string[] fullyResolvedIdentifiers;
-				object[] values = resolver.ResolveGet<object>(identifier, out fullyResolvedIdentifiers);
-
-				for (int i = 0; i < values.Length; i++)
-				{
-					object value = values[i];
-					INDArray asNDArray = value as INDArray;
-					INumber asNumber = value as INumber;
-
-					if (asNDArray != null)
-					{
-						foreach (IValueModifier modifier in _valueModifiers[identifier])
-						{
-							asNDArray = modifier.Modify(fullyResolvedIdentifiers[i], asNDArray, handler);
-						}
-						values[i] = asNDArray;
-					}
-					else if (asNumber != null)
-					{
-						foreach (IValueModifier modifier in _valueModifiers[identifier])
-						{
-							asNumber = modifier.Modify(fullyResolvedIdentifiers[i], asNumber, handler);
-						}
-						values[i] = asNumber;
-					}
-					else
-					{
-						double? asDouble = value as double?;
-
-						if (asDouble != null)
-						{
-							foreach (IValueModifier modifier in _valueModifiers[identifier])
-							{
-								asDouble = modifier.Modify(fullyResolvedIdentifiers[i], asDouble.Value, handler);
-							}
-							values[i] = asDouble.Value;
-						}
-					}
-
-					resolver.ResolveSet(fullyResolvedIdentifiers[i], values[i]);
-				}
-			}
-		}
-
-		/// <summary>
-		/// Provide the external data to a network given the current record block (typically as given by the training data iterator).
-		/// </summary>
-		/// <param name="localNetwork">The network to provide the data with.</param>
-		/// <param name="currentBlock">The current record block.</param>
-		public void ProvideExternalInputData(INetwork localNetwork, IDictionary<string, INDArray> currentBlock)
-		{
-			CheckInitialised();
-
-			DataProviderUtils.ProvideExternalInputData(DataProvider, localNetwork, currentBlock);
-		}
-
-		/// <summary>
-		/// Provide the external output data from network to the data provider.
-		/// </summary>
-		/// <param name="localNetwork">The network to get the data from.</param>
-		/// <param name="currentBlock">The current record block.</param>
-		public void ProvideExternalOutputData(INetwork localNetwork, IDictionary<string, INDArray> currentBlock)
-		{
-			DataProviderUtils.ProvideExternalOutputData(DataProvider, localNetwork, currentBlock);
-		}
-
-		/// <summary>
-		/// Reset this trainer to an un-initialised state, discard all progress information. If necessary, stop the operator (and wait for that).
-		/// </summary>
-		public void Reset()
-		{
-			_logger.Info($"Resetting trainer \"{Name}\" to un-initialised state, discarding all progress data...");
-
-			if (Operator?.State != ExecutionState.None)
-			{
-				_logger.Info($"Signalling operator to stop and reset, waiting for state change signal to continue trainer reset...");
-
-				Operator.SignalReset();
-				Operator.WaitForStateChanged();
-			}
-
-			Network?.Reset();
-			_initialised = false;
-
-			UpdateRegistry();
-
-			_logger.Info($"Done resetting trainer \"{Name}\" to un-initialised state, discarded all progress data and stopped operator.");
-		}
-
-		public override string ToString()
-		{
-			return $"trainer \"{Name}\"";
-		}
-	}
+    /// <summary>
+    /// The default <see cref="ITrainer"/> implementation.
+    /// A trainer that defines how a network should be trained, denoting initialisers, optimiser, operator, custom hooks and data to apply and use. 
+    /// </summary>
+    [Serializable]
+    public class Trainer : ITrainer
+    {
+        [NonSerialized]
+        private readonly ILog _logger = LogManager.GetLogger(MethodBase.GetCurrentMethod().DeclaringType);
+        private readonly IList<IHook> _localHooks;
+        private readonly IList<IHook> _globalHooks;
+        private readonly Dictionary<string, IDataIterator> _additionalNameDataIterators;
+        private readonly IList<IHook> _allHooks;
+        private readonly IDictionary<string, IInitialiser> _initialisers;
+        private readonly IDictionary<string, ISet<IValueModifier>> _valueModifiers;
+        private bool _initialised;
+
+        /// <inheritdoc />
+        public string Name { get; }
+
+        /// <inheritdoc />
+        public SigmaEnvironment Sigma { get; set; }
+
+        /// <inheritdoc />
+        public bool ForceInitialisation { get; set; }
+
+        /// <inheritdoc />
+        public INetwork Network { get; set; }
+
+        /// <inheritdoc />
+        public IOptimiser Optimiser { get; set; }
+
+        /// <inheritdoc />
+        public IOperator Operator { get; set; } = new CpuSinglethreadedOperator();
+
+        /// <inheritdoc />
+        public IDataProvider DataProvider { get; set; } = new DefaultDataProvider();
+
+        /// <inheritdoc />
+        public IReadOnlyDictionary<string, IInitialiser> Initialisers { get; }
+
+        /// <inheritdoc />
+        public IDataIterator TrainingDataIterator { get; set; }
+
+        /// <inheritdoc />
+        public IReadOnlyDictionary<string, IDataIterator> AdditionalNameDataIterators { get; }
+
+        /// <inheritdoc />
+        public IReadOnlyCollection<IHook> Hooks { get; }
+
+        /// <inheritdoc />
+        public IReadOnlyCollection<IHook> GlobalHooks { get; }
+
+        /// <inheritdoc />
+        public IReadOnlyCollection<IHook> LocalHooks { get; }
+
+        /// <inheritdoc />
+        public IReadOnlyDictionary<string, ISet<IValueModifier>> ValueModifiers { get; }
+
+        /// <inheritdoc />
+        public IRegistry Registry { get; }
+
+        /// <summary>
+        /// Create a trainer with a certain name.
+        /// </summary>
+        /// <param name="name">The name.</param>
+        public Trainer(string name)
+        {
+            if (name == null) throw new ArgumentNullException(nameof(name));
+
+            Name = name;
+
+            _allHooks = new List<IHook>();
+            _localHooks = new List<IHook>();
+            _globalHooks = new List<IHook>();
+            _additionalNameDataIterators = new Dictionary<string, IDataIterator>();
+            _initialisers = new Dictionary<string, IInitialiser>();
+            _valueModifiers = new Dictionary<string, ISet<IValueModifier>>();
+
+            Hooks = new ReadOnlyCollection<IHook>(_allHooks);
+            GlobalHooks = new ReadOnlyCollection<IHook>(_globalHooks);
+            LocalHooks = new ReadOnlyCollection<IHook>(_localHooks);
+            AdditionalNameDataIterators = new ReadOnlyDictionary<string, IDataIterator>(_additionalNameDataIterators);
+            ValueModifiers = new ReadOnlyDictionary<string, ISet<IValueModifier>>(_valueModifiers);
+            Initialisers = new ReadOnlyDictionary<string, IInitialiser>(_initialisers);
+            Registry = new Registry(tags: "trainer");
+            Registry["self"] = this;
+        }
+
+        /// <inheritdoc />
+        public void AddNamedDataIterator(string name, IDataIterator iterator)
+        {
+            if (_additionalNameDataIterators.ContainsKey(name))
+            {
+                throw new ArgumentException($"Named data iterator with name {name} already registered in this trainer ({Name}).");
+            }
+
+            _additionalNameDataIterators.Add(name, iterator);
+        }
+
+        /// <inheritdoc />
+        public void AddInitialiser(string identifier, IInitialiser initialiser)
+        {
+            if (identifier == null) { throw new ArgumentNullException(nameof(identifier)); }
+            if (initialiser == null) { throw new ArgumentNullException(nameof(initialiser)); }
+
+            if (_initialisers.ContainsKey(identifier))
+            {
+                throw new InvalidOperationException($"Cannot add duplicate identifier {identifier} for initialiser {initialiser}," +
+                                                    $" identifier is already bound to initialiser {_initialisers[identifier]}");
+            }
+
+            _initialisers.Add(identifier, initialiser);
+        }
+
+        /// <inheritdoc />
+        public void AddValueModifier(string identifier, IValueModifier modifier)
+        {
+            _valueModifiers.TryGetValue(identifier, () => new HashSet<IValueModifier>()).Add(modifier);
+        }
+
+        /// <inheritdoc />
+        public void AddHook(IHook hook)
+        {
+            if (hook.DefaultTargetMode == TargetMode.Local)
+            {
+                AddLocalHook(hook);
+            }
+            else if (hook.DefaultTargetMode == TargetMode.Global)
+            {
+                AddGlobalHook(hook);
+            }
+            else
+            {
+                throw new InvalidOperationException($"Ambiguous add hook call for hook {hook} with target mode {hook.DefaultTargetMode}. " +
+                                                    $"Target mode must be explicitly {nameof(TargetMode.Local)} or {nameof(TargetMode.Global)} for implicit hook add to work" +
+                                                    $" (i.e. unable to determine where to add this hook, specify it explicitly in the caller).");
+            }
+        }
+
+        /// <inheritdoc />
+        public void AddLocalHook(IHook hook)
+        {
+            if (Hooks.Contains(hook))
+            {
+                throw new ArgumentException($"Duplicate hook {hook}, hook already registered in this trainer ({Name}).");
+            }
+
+            _allHooks.Add(hook);
+            _localHooks.Add(hook);
+        }
+
+        /// <inheritdoc />
+        public void AddGlobalHook(IHook hook)
+        {
+            if (Hooks.Contains(hook))
+            {
+                throw new ArgumentException($"Duplicate hook {hook}, hook already registered in this trainer ({Name}).");
+            }
+
+            _allHooks.Add(hook);
+            _globalHooks.Add(hook);
+        }
+
+        /// <inheritdoc />
+        public void Initialise(IComputationHandler handler)
+        {
+            ValidateAssignedComponents();
+
+            _logger.Info($"Initialising trainer \"{Name}\" with handler {handler}...");
+
+            ITaskObserver prepareTask = SigmaEnvironment.TaskManager.BeginTask(TaskType.Prepare, $"Preparing trainer {Name}");
+
+            int initialisedNDArrayCount;
+            int initialisedNumberCount;
+
+            Network.AssociatedHandler = Operator.Handler;
+
+            if (Network.Initialised && !ForceInitialisation)
+            {
+                initialisedNumberCount = 0;
+                initialisedNDArrayCount = 0;
+
+                _logger.Info($"Skipping network initialisation because network was already initialised and force initialisation flag is set to false...");
+            }
+            else
+            {
+                InitialiseNetwork(handler, out initialisedNumberCount, out initialisedNDArrayCount);
+            }
+
+            Operator.Sigma = Sigma;
+            Operator.Handler = Operator.Handler ?? handler;
+            Operator.Network = Network;
+            Operator.Trainer = this;
+
+            // attach all given hooks
+            foreach (IHook hook in _globalHooks)
+            {
+                if (!Operator.AttachGlobalHook(hook))
+                {
+                    _logger.Debug($"Skipped attaching global hook {hook} in trainer \"{Name}\", operator refused to attach it.");
+                }
+            }
+
+            foreach (IHook hook in _localHooks)
+            {
+                if (!Operator.AttachLocalHook(hook))
+                {
+                    _logger.Debug($"Skipped attaching local hook {hook} in trainer \"{Name}\", operator refused to attach it.");
+                }
+            }
+
+            UpdateRegistry();
+
+            _initialised = true;
+
+            SigmaEnvironment.TaskManager.EndTask(prepareTask);
+
+            _logger.Info($"Done initialising trainer \"{Name}\" for handler {handler}, initialised {initialisedNDArrayCount} ndarrays and {initialisedNumberCount} numbers.");
+        }
+
+        private void InitialiseNetwork(IComputationHandler handler, out int initialisedNumberCount, out int initialisedNDArrayCount)
+        {
+            Network.Initialise(handler);
+
+            initialisedNDArrayCount = 0;
+            initialisedNumberCount = 0;
+
+            RegistryResolver networkResolver = new RegistryResolver(Network.Registry.Get<IRegistry>("layers"));
+            List<string> orderedInitialiserIdentifiers = _initialisers.Keys.ToList();
+            orderedInitialiserIdentifiers.Sort(RegistryUtils.CompareIdentifierSpecificityAscending);
+
+            foreach (string identifier in orderedInitialiserIdentifiers)
+            {
+                object[] values = networkResolver.ResolveGet(identifier, new object[0]);
+                IInitialiser initialiser = _initialisers[identifier];
+
+                foreach (object value in values)
+                {
+                    INDArray array = value as INDArray;
+
+                    if (array != null)
+                    {
+                        initialiser.Initialise(array, handler, Sigma.Random);
+                        initialisedNDArrayCount++;
+                    }
+                    else
+                    {
+                        INumber number = value as INumber;
+
+                        if (number != null)
+                        {
+                            initialiser.Initialise(number, handler, Sigma.Random);
+                            initialisedNumberCount++;
+                        }
+                    }
+                }
+            }
+        }
+
+        protected virtual void UpdateRegistry()
+        {
+            Registry["initialised"] = _initialised;
+            Registry["name"] = Name;
+            Registry["network"] = Network?.Registry;
+            Registry["optimiser"] = Optimiser?.Registry;
+
+            Registry initialiserRegistry = new Registry(Registry, tags: "initialisers");
+            Registry["initialisers"] = initialiserRegistry;
+
+            foreach (string initialiserMatchIdentifier in Initialisers.Keys)
+            {
+                initialiserRegistry[initialiserMatchIdentifier] = Initialisers[initialiserMatchIdentifier];
+            }
+        }
+
+        private void ValidateAssignedComponents()
+        {
+            if (Network == null)
+            {
+                throw new InvalidOperationException($"Cannot initialise trainer {Name} before assigning a network.");
+            }
+
+            if (Sigma == null)
+            {
+                throw new InvalidOperationException($"Cannot initialise trainer {Name} before assigning a sigma environment.");
+            }
+
+            if (Operator == null)
+            {
+                throw new InvalidOperationException($"Cannot initialise trainer {Name} before assigning an operator.");
+            }
+
+            if (DataProvider == null)
+            {
+                throw new InvalidOperationException($"Cannot initialise trainer {Name} before assigning a data provider.");
+            }
+
+            Network.Validate();
+        }
+
+        private void CheckInitialised()
+        {
+            if (!_initialised)
+            {
+                throw new InvalidOperationException($"Trainer {Name} has not been initialised yet. Call {nameof(Initialise)}!");
+            }
+        }
+
+        public void Start()
+        {
+            _logger.Info($"Validating trainer state of trainer {Name} before start...");
+
+            ValidateAssignedComponents();
+            CheckInitialised();
+
+            _logger.Info($"Starting operator {Operator} with trainer {Name}...");
+
+            Operator.Network = Network;
+            Operator.Trainer = this;
+
+            Operator.Start();
+        }
+
+        public void RunTrainingIteration(INetwork localNetwork, IOptimiser localOptimiser, IRegistry localRegistry, IComputationHandler handler)
+        {
+            if (localNetwork == null) throw new ArgumentNullException(nameof(localNetwork));
+            if (localOptimiser == null) throw new ArgumentNullException(nameof(localOptimiser));
+            if (localRegistry == null) throw new ArgumentNullException(nameof(localRegistry));
+            if (handler == null) throw new ArgumentNullException(nameof(handler));
+
+            CheckInitialised();
+
+            localOptimiser.PrepareRun(localNetwork, handler);
+            localNetwork.Run(handler, trainingPass: true);
+            localOptimiser.Run(localNetwork, handler);
+            ApplyValueModifiers(localRegistry, handler);
+        }
+
+        private void ApplyValueModifiers(IRegistry localRegistry, IComputationHandler handler)
+        {
+            if (_valueModifiers.Count == 0)
+            {
+                return;
+            }
+
+            RegistryResolver resolver = new RegistryResolver(localRegistry);
+
+            foreach (string identifier in _valueModifiers.Keys)
+            {
+                string[] fullyResolvedIdentifiers;
+                object[] values = resolver.ResolveGet<object>(identifier, out fullyResolvedIdentifiers);
+
+                for (int i = 0; i < values.Length; i++)
+                {
+                    object value = values[i];
+                    INDArray asNDArray = value as INDArray;
+                    INumber asNumber = value as INumber;
+
+                    if (asNDArray != null)
+                    {
+                        foreach (IValueModifier modifier in _valueModifiers[identifier])
+                        {
+                            asNDArray = modifier.Modify(fullyResolvedIdentifiers[i], asNDArray, handler);
+                        }
+                        values[i] = asNDArray;
+                    }
+                    else if (asNumber != null)
+                    {
+                        foreach (IValueModifier modifier in _valueModifiers[identifier])
+                        {
+                            asNumber = modifier.Modify(fullyResolvedIdentifiers[i], asNumber, handler);
+                        }
+                        values[i] = asNumber;
+                    }
+                    else
+                    {
+                        double? asDouble = value as double?;
+
+                        if (asDouble != null)
+                        {
+                            foreach (IValueModifier modifier in _valueModifiers[identifier])
+                            {
+                                asDouble = modifier.Modify(fullyResolvedIdentifiers[i], asDouble.Value, handler);
+                            }
+                            values[i] = asDouble.Value;
+                        }
+                    }
+
+                    resolver.ResolveSet(fullyResolvedIdentifiers[i], values[i]);
+                }
+            }
+        }
+
+        /// <summary>
+        /// Provide the external data to a network given the current record block (typically as given by the training data iterator).
+        /// </summary>
+        /// <param name="localNetwork">The network to provide the data with.</param>
+        /// <param name="currentBlock">The current record block.</param>
+        public void ProvideExternalInputData(INetwork localNetwork, IDictionary<string, INDArray> currentBlock)
+        {
+            CheckInitialised();
+
+            DataProviderUtils.ProvideExternalInputData(DataProvider, localNetwork, currentBlock);
+        }
+
+        /// <summary>
+        /// Provide the external output data from network to the data provider.
+        /// </summary>
+        /// <param name="localNetwork">The network to get the data from.</param>
+        /// <param name="currentBlock">The current record block.</param>
+        public void ProvideExternalOutputData(INetwork localNetwork, IDictionary<string, INDArray> currentBlock)
+        {
+            DataProviderUtils.ProvideExternalOutputData(DataProvider, localNetwork, currentBlock);
+        }
+
+        /// <summary>
+        /// Reset this trainer to an un-initialised state, discard all progress information. If necessary, stop the operator (and wait for that).
+        /// </summary>
+        public void Reset()
+        {
+            _logger.Info($"Resetting trainer \"{Name}\" to un-initialised state, discarding all progress data...");
+
+            if (Operator?.State != ExecutionState.None)
+            {
+                _logger.Info($"Signalling operator to stop and reset, waiting for state change signal to continue trainer reset...");
+
+                Operator.SignalReset();
+                Operator.WaitForStateChanged();
+            }
+
+            Network?.Reset();
+            _initialised = false;
+
+            UpdateRegistry();
+
+            _logger.Info($"Done resetting trainer \"{Name}\" to un-initialised state, discarded all progress data and stopped operator.");
+        }
+
+        public override string ToString()
+        {
+            return $"trainer \"{Name}\"";
+        }
+    }
 }
\ No newline at end of file
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index b004fc21..b99d6756 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -88,7 +88,7 @@ private static void SampleTrainerOperatorWorkerIris()
             trainer.AddHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch)));
             trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));
             trainer.AddHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
-            trainer.AddHook(new DiskSaviorHook<INetwork>(TimeStep.Every(1, TimeScale.Epoch), "network.self", "iris.sgnet"));
+            trainer.AddLocalHook(new DiskSaviorHook<INetwork>("network.self", "iris.sgnet").On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
 
             //trainer.AddGlobalHook(new CurrentEpochIterationReporter(TimeStep.Every(1, TimeScale.Epoch)));
 

From 48129bf50d61b65e3f98567831e22051e79e899e Mon Sep 17 00:00:00 2001
From: Michael Plainer <plainer@ymail.com>
Date: Thu, 13 Apr 2017 23:02:50 +0200
Subject: [PATCH 16/40] Add automatic parameter update

---
 .../Panels/Parameterisation/ParameterPanel.cs |  2 +
 .../Sigma.Core.Monitors.WPF.csproj            |  2 +
 .../Defaults/SigmaTextBlock.xaml.cs           | 14 ++---
 .../Defaults/SigmaTimeBlock.cs                | 53 ++++++++++++++++++
 .../Parameterisation/ParameterView.xaml.cs    | 54 +++++++++++++++----
 .../UserControlParameterVisualiser.cs         | 27 ++++++++++
 .../Parameterisation/IParameterVisualiser.cs  |  2 +
 .../IParameterVisualiserManager.cs            |  1 -
 .../ParameterVisualiserManager.cs             |  4 +-
 .../Parameterisation/PollParameterHook.cs     | 38 +++++++++++++
 .../ISynchronisationHandler.cs                | 10 ++++
 .../Synchronisation/SynchronisationHandler.cs | 20 +++++++
 Sigma.Core/Training/Hooks/BaseHook.cs         | 20 +++----
 Sigma.Core/Training/Hooks/LambdaHook.cs       |  2 +-
 .../Hooks/Reporters/RunningTimeReporter.cs    |  6 +--
 Sigma.Tests.Internals.WPF/Program.cs          | 17 +++++-
 16 files changed, 239 insertions(+), 33 deletions(-)
 create mode 100644 Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTimeBlock.cs
 create mode 100644 Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/PollParameterHook.cs

diff --git a/Sigma.Core.Monitors.WPF/Panels/Parameterisation/ParameterPanel.cs b/Sigma.Core.Monitors.WPF/Panels/Parameterisation/ParameterPanel.cs
index edf1a8ef..ea956598 100644
--- a/Sigma.Core.Monitors.WPF/Panels/Parameterisation/ParameterPanel.cs
+++ b/Sigma.Core.Monitors.WPF/Panels/Parameterisation/ParameterPanel.cs
@@ -9,6 +9,7 @@ For full license see LICENSE in the root directory of this project.
 using System;
 using Sigma.Core.Monitors.Synchronisation;
 using Sigma.Core.Monitors.WPF.View.Parameterisation;
+using Sigma.Core.Monitors.WPF.View.Windows;
 using Sigma.Core.Monitors.WPF.ViewModel.Parameterisation;
 using Sigma.Core.Utils;
 
@@ -27,6 +28,7 @@ public ParameterPanel(string title, IParameterVisualiserManager visualiserManage
 		{
 			Content = new ParameterView(visualiserManager, synchronisationHandler);
 		}
+		public ParameterPanel(string title, SigmaEnvironment environment, SigmaWindow window, object headerContent = null) : this(title, window.ParameterVisualiser, environment.SynchronisationHandler, headerContent) { }
 
 		public void Add(string name, Type type, IRegistry registry, string key)
 		{
diff --git a/Sigma.Core.Monitors.WPF/Sigma.Core.Monitors.WPF.csproj b/Sigma.Core.Monitors.WPF/Sigma.Core.Monitors.WPF.csproj
index 13638d38..849159bd 100644
--- a/Sigma.Core.Monitors.WPF/Sigma.Core.Monitors.WPF.csproj
+++ b/Sigma.Core.Monitors.WPF/Sigma.Core.Monitors.WPF.csproj
@@ -168,6 +168,7 @@
     <Compile Include="Utils\AttributeUtils.cs" />
     <Compile Include="Utils\ChartPanelPerformance.cs" />
     <Compile Include="Utils\Converters\InverseBooleanConverter.cs" />
+    <Compile Include="ViewModel\Parameterisation\PollParameterHook.cs" />
     <Compile Include="Utils\WindowUtils.cs" />
     <Compile Include="ViewModel\Parameterisation\IParameterVisualiserManager.cs" />
     <Compile Include="ViewModel\Parameterisation\ParameterVisualiserManager.cs" />
@@ -233,6 +234,7 @@
     </Compile>
     <Compile Include="ViewModel\Parameterisation\IParameterLabel.cs" />
     <Compile Include="ViewModel\Parameterisation\IParameterVisualiserInfo.cs" />
+    <Compile Include="View\Parameterisation\Defaults\SigmaTimeBlock.cs" />
     <Compile Include="View\Parameterisation\ParameterLabel.cs" />
     <Compile Include="View\Parameterisation\ParameterView.xaml.cs">
       <DependentUpon>ParameterView.xaml</DependentUpon>
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTextBlock.xaml.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTextBlock.xaml.cs
index fffd80fd..ad2e62bc 100644
--- a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTextBlock.xaml.cs
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTextBlock.xaml.cs
@@ -18,17 +18,20 @@ namespace Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults
 	[ParameterVisualiser(typeof(object), Priority = VisualiserPriority.Lower)]
 	public partial class SigmaTextBlock
 	{
-		private object _object;
+		/// <summary>
+		/// The object that is currently being displayed (without updating the displayed information)
+		/// </summary>
+		protected object _Object;
 
 		/// <summary>
 		/// The object that is being displayed (toString is called).
 		/// </summary>
-		public object Object
+		public virtual object Object
 		{
-			get { return _object; }
+			get { return _Object; }
 			set
 			{
-				_object = value;
+				_Object = value;
 				TextBlock.Text = value?.ToString() ?? "null";
 			}
 		}
@@ -38,7 +41,6 @@ public object Object
 		/// </summary>
 		public string Text => TextBlock.Text;
 
-
 		/// <summary>
 		/// The fully resolved key to access the synchandler.
 		/// </summary>
@@ -86,7 +88,7 @@ public SigmaTextBlock()
 		/// </summary>
 		public override void Read()
 		{
-			Object = SynchronisationHandler.SynchroniseGet<object>(Registry, Key);
+			SynchronisationHandler.SynchroniseUpdate(Registry, Key, Object, newObj => Dispatcher.Invoke(() => Object = newObj));
 		}
 
 		/// <summary>
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTimeBlock.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTimeBlock.cs
new file mode 100644
index 00000000..4391f8f4
--- /dev/null
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTimeBlock.cs
@@ -0,0 +1,53 @@
+using System;
+using Sigma.Core.Monitors.WPF.ViewModel.Parameterisation;
+
+namespace Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults
+{
+	/// <summary>
+	/// A TimeBlock that allows to display the current time. 
+	/// </summary>
+	[ParameterVisualiser(typeof(DateTime), Priority = VisualiserPriority.Lower)]
+	public class SigmaTimeBlock : SigmaTextBlock
+	{
+		/// <inheritdoc />
+		public override object Object
+		{
+			get { return _Object; }
+			set
+			{
+				if (_Object is DateTime)
+				{
+					_Object = value;
+					TextBlock.Text = ((DateTime) Object).ToString(FormatString);
+				}
+				else
+				{
+					base.Object = value;
+				}
+			}
+		}
+
+		/// <summary>
+		/// The string that is used to format the time. 
+		/// <c>null</c>, if default formatting should be applied.
+		/// </summary>
+		public string FormatString { get; set; }
+
+		/// <summary>
+		/// Create a label that is capable of displaying a time.
+		/// </summary>
+		public SigmaTimeBlock()
+		{
+			base.IsReadOnly = true;
+		}
+
+		/// <summary>
+		/// Determines whether the parameter is editable or not. 
+		/// </summary>
+		public sealed override bool IsReadOnly
+		{
+			get { return base.IsReadOnly; }
+			set { throw new NotImplementedException(); }
+		}
+	}
+}
\ No newline at end of file
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterView.xaml.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterView.xaml.cs
index a04a13df..916478fd 100644
--- a/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterView.xaml.cs
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterView.xaml.cs
@@ -8,10 +8,11 @@ For full license see LICENSE in the root directory of this project.
 
 using System;
 using System.Windows;
-using System.Windows.Annotations;
 using System.Windows.Controls;
 using log4net;
 using Sigma.Core.Monitors.Synchronisation;
+using Sigma.Core.Monitors.WPF.Annotations;
+using Sigma.Core.Monitors.WPF.View.Windows;
 using Sigma.Core.Monitors.WPF.ViewModel.Parameterisation;
 using Sigma.Core.Utils;
 
@@ -24,11 +25,26 @@ public partial class ParameterView
 	{
 		private readonly ILog _log = LogManager.GetLogger(typeof(ParameterView));
 
+		/// <summary>
+		/// The manager that keeps track of all visualisers.
+		/// </summary>
 		protected readonly IParameterVisualiserManager Manager;
+
+		/// <summary>
+		/// The handler that is used for transactions with the monitor.
+		/// </summary>
 		protected readonly ISynchronisationHandler SynchronisationHandler;
 
+		/// <summary>
+		/// The current rowpost to which elements will be added.
+		/// </summary>
 		protected int RowPos;
 
+		/// <summary>
+		/// Generate a new parameter view with a given manager and synchronisation handler.
+		/// </summary>
+		/// <param name="manager">A manager of all active visualisers.</param>
+		/// <param name="synchronisationHandler">A handler for parameter syncing.</param>
 		public ParameterView(IParameterVisualiserManager manager, ISynchronisationHandler synchronisationHandler)
 		{
 			Manager = manager;
@@ -36,9 +52,25 @@ public ParameterView(IParameterVisualiserManager manager, ISynchronisationHandle
 			InitializeComponent();
 		}
 
+		/// <summary>
+		/// Generate a new parameter view with the manager and synchronisation handler assigned in the environment / window.
+		/// <param name="environment">The currently active environment.</param>
+		/// <param name="window">The currently active window (i.e. root window).</param>
+		/// </summary>
+		public ParameterView(SigmaEnvironment environment, SigmaWindow window) : this(window.ParameterVisualiser, environment.SynchronisationHandler)
+		{
+		}
+
+		/// <summary>
+		/// Display a given type stored in given registry (with the given key) next to a label with a given text.
+		/// </summary>
+		/// <param name="name">The text the label will contain.</param>
+		/// <param name="type">The type that will be displayed.</param>
+		/// <param name="registry">The registry which contains the value that should be displayed.</param>
+		/// <param name="key">The key to access the exact value required.</param>
 		public void Add(string name, Type type, IRegistry registry, string key)
 		{
-			Add(new Label { Content = name }, type, registry, key);
+			Add(new Label {Content = name}, type, registry, key);
 		}
 
 		public void Add(UIElement name, Type visualiserType, IRegistry registry, string key)
@@ -56,7 +88,7 @@ public void Add(UIElement name, Type visualiserType, IRegistry registry, string
 
 		public void Add(string name, object visualiserAndDisplayer, IRegistry registry, string key)
 		{
-			Add(new Label { Content = name }, visualiserAndDisplayer, registry, key);
+			Add(new Label {Content = name}, visualiserAndDisplayer, registry, key);
 		}
 
 		public void Add(UIElement name, object visualiserAndDisplayer, IRegistry registry, string key)
@@ -74,16 +106,16 @@ public void Add(UIElement name, object visualiserAndDisplayer, IRegistry registr
 		}
 
 		/// <summary>
-		/// 
+		/// Add a <see cref="UIElement"/> that contains information (e.g. the name of the object), and display it with a given object (e.g. the object to interact with).
 		/// </summary>
-		/// <param name="name"></param>
+		/// <param name="name">The element taht displays information about the elment being displayed (e.g. descriptive name).</param>
 		/// <param name="displayer">The element that displays the object in the cell (normally the same as <see ref="visualiser"/>).</param>
 		/// <param name="visualiser">The object that is responsible for the link with a variable (normally the same as <see ref="displayer"/>).</param>
-		/// <param name="registry"></param>
-		/// <param name="key"></param>
-		public void Add(UIElement name, UIElement displayer, IParameterVisualiser visualiser, IRegistry registry, string key)
+		/// <param name="registry">The registry which contains the value that should be displayed. May or may not be <c>null</c> (depending on the visualiser).</param>
+		/// <param name="key">The key to access the exact value required. May or may not be <c>null</c> (depending on the visualiser).</param>
+		public void Add([CanBeNull] UIElement name, [CanBeNull] UIElement displayer, [CanBeNull] IParameterVisualiser visualiser, IRegistry registry, string key)
 		{
-			Content.RowDefinitions.Add(new RowDefinition { Height = GridLength.Auto });
+			Content.RowDefinitions.Add(new RowDefinition {Height = GridLength.Auto});
 
 			if (visualiser != null)
 			{
@@ -93,6 +125,7 @@ public void Add(UIElement name, UIElement displayer, IParameterVisualiser visual
 				visualiser.Read();
 			}
 
+			// add the name to the left
 			if (name != null)
 			{
 				Grid.SetColumn(name, 0);
@@ -109,5 +142,8 @@ public void Add(UIElement name, UIElement displayer, IParameterVisualiser visual
 
 			RowPos++;
 		}
+
+
+
 	}
 }
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/UserControlParameterVisualiser.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/UserControlParameterVisualiser.cs
index fef2ae29..c74951da 100644
--- a/Sigma.Core.Monitors.WPF/View/Parameterisation/UserControlParameterVisualiser.cs
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/UserControlParameterVisualiser.cs
@@ -6,9 +6,12 @@ MIT License
 For full license see LICENSE in the root directory of this project. 
 */
 
+using System;
 using System.Windows.Controls;
 using Sigma.Core.Monitors.Synchronisation;
 using Sigma.Core.Monitors.WPF.ViewModel.Parameterisation;
+using Sigma.Core.Training;
+using Sigma.Core.Training.Hooks;
 using Sigma.Core.Utils;
 
 namespace Sigma.Core.Monitors.WPF.View.Parameterisation
@@ -62,5 +65,29 @@ public abstract class UserControlParameterVisualiser : UserControl, IParameterVi
 		/// Force the visualiser to store its value (i.e. write the value that is displayed to the registry).
 		/// </summary>
 		public abstract void Write();
+
+		/// <summary>
+		/// The currently active poll hook that is responsible for updating values. 
+		/// </summary>
+		protected PollParameterHook ActiveHook;
+
+		/// <summary>
+		/// Enables the automatic polling of values (call Read on every TimeStep). 
+		/// <c>null</c> if no automatic polling should be enabled.
+		/// </summary>
+		/// <param name="trainer">The trainer on which the poll will be performed.</param>
+		/// <param name="step">The TimeStep on when the parameter should update.</param>
+		public virtual void AutoPollValues(ITrainer trainer, ITimeStep step)
+		{
+			if (ActiveHook != null)
+			{
+					trainer.Operator.DetachGlobalHook(ActiveHook);
+
+			}
+
+			ActiveHook = new PollParameterHook(step, this);
+
+			trainer.AddGlobalHook(ActiveHook);
+		}
 	}
 }
diff --git a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiser.cs b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiser.cs
index c1b230bd..1f80063f 100644
--- a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiser.cs
+++ b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiser.cs
@@ -48,11 +48,13 @@ public interface IParameterVisualiser
 
 		/// <summary>
 		/// Force the visualiser to update its value (i.e. display the value that is stored).
+		/// This function may be called from an arbitrary thread.
 		/// </summary>
 		void Read();
 
 		/// <summary>
 		/// Force the visualiser to store its value (i.e. write the value that is displayed to the registry).
+		/// This function may be called from an arbitrary thread.
 		/// </summary>
 		void Write();
 	}
diff --git a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiserManager.cs b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiserManager.cs
index 9dd86e73..e7b1dcde 100644
--- a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiserManager.cs
+++ b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiserManager.cs
@@ -8,7 +8,6 @@ For full license see LICENSE in the root directory of this project.
 
 using System;
 using Sigma.Core.Monitors.WPF.Annotations;
-using Sigma.Core.Monitors.WPF.View.Parameterisation;
 using Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults;
 
 namespace Sigma.Core.Monitors.WPF.ViewModel.Parameterisation
diff --git a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/ParameterVisualiserManager.cs b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/ParameterVisualiserManager.cs
index 5cfe5117..1a9a9145 100644
--- a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/ParameterVisualiserManager.cs
+++ b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/ParameterVisualiserManager.cs
@@ -44,7 +44,7 @@ public class ParameterVisualiserManager : IParameterVisualiserManager
 		/// <summary>
 		/// The default constructor.
 		/// </summary>
-		/// <param name="autoAssign">If <c>true</c> it will automatically add all classes marked with the attribute <see cref="ParameterVisualiserAttribute"/>.</param>
+		/// <param name="autoAssign">If <c>true</c>, it will automatically add all classes marked with the attribute <see cref="ParameterVisualiserAttribute"/>.</param>
 		public ParameterVisualiserManager(bool autoAssign = true)
 		{
 			TypeMapping = new Dictionary<Type, Type>();
@@ -116,7 +116,7 @@ public virtual bool Add(Type visualiserClass, IParameterVisualiserInfo parameter
 					return false;
 				}
 
-				_log.Info($"{parameterInfo.Type} was visualised by {storedClass.Name}; {visualiserClass.Name} has a higher priority and is therefore the new visualiser ({parameterInfo.Priority} > {storedAttribte.Priority}).");
+				_log.Debug($"{parameterInfo.Type} was visualised by {storedClass.Name}; {visualiserClass.Name} has a higher priority and is therefore the new visualiser ({parameterInfo.Priority} > {storedAttribte.Priority}).");
 			}
 
 			TypeMapping[parameterInfo.Type] = visualiserClass;
diff --git a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/PollParameterHook.cs b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/PollParameterHook.cs
new file mode 100644
index 00000000..d347c7a1
--- /dev/null
+++ b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/PollParameterHook.cs
@@ -0,0 +1,38 @@
+using System;
+using Sigma.Core.Training.Hooks;
+using Sigma.Core.Utils;
+
+namespace Sigma.Core.Monitors.WPF.ViewModel.Parameterisation
+{
+	/// <summary>
+	/// A hook that updates a given IParameterVisualiser on a given TimeStep.
+	/// </summary>
+	[Serializable]
+	public class PollParameterHook : BaseHook
+	{
+		/// <summary>
+		/// The identifier for the currently active visualiser.
+		/// </summary>
+		protected const string VisualiserIdentifier = "visualiser";
+
+		/// <summary>
+		/// Create a hook with a certain time step
+		/// </summary>
+		/// <param name="timestep">The time step.</param>
+		/// <param name="visualiser">The visualisers that will be updated.</param>
+		public PollParameterHook(ITimeStep timestep, IParameterVisualiser visualiser) : base(timestep)
+		{
+			ParameterRegistry[VisualiserIdentifier] = visualiser;
+		}
+
+		/// <summary>
+		/// Invoke this hook with a certain parameter registry if optional conditional criteria are satisfied.
+		/// </summary>
+		/// <param name="registry">The registry containing the required values for this hook's execution.</param>
+		/// <param name="resolver">A helper resolver for complex registry entries (automatically cached).</param>
+		public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
+		{
+			((IParameterVisualiser) ParameterRegistry[VisualiserIdentifier]).Read();
+		}
+	}
+}
\ No newline at end of file
diff --git a/Sigma.Core/Monitors/Synchronisation/ISynchronisationHandler.cs b/Sigma.Core/Monitors/Synchronisation/ISynchronisationHandler.cs
index 76b37fed..e96eedc7 100644
--- a/Sigma.Core/Monitors/Synchronisation/ISynchronisationHandler.cs
+++ b/Sigma.Core/Monitors/Synchronisation/ISynchronisationHandler.cs
@@ -41,5 +41,15 @@ public interface ISynchronisationHandler
 		/// <typeparam name="T">The type of the value that will be gathered.</typeparam>
 		/// <param name="key">The fully resolved identifier for the parameter that will be received.</param>
 		T SynchroniseGet<T>(IRegistry registry, string key);
+
+		/// <summary>
+		///	Update a value with a given action if it has changed (not <see cref="object.Equals(object)"/>).
+		/// </summary>
+		/// <typeparam name="T">The type of the value that will be gathered.</typeparam>
+		/// <param name="registry">The registry in which the entry will be set.</param>
+		/// <param name="key">The fully resolved identifier for the parameter that will be received.</param>
+		/// <param name="currentVal">The current value of the object.</param>
+		/// <param name="update">The method that will be called if the parameter has to be updated.</param>
+		void SynchroniseUpdate<T>(IRegistry registry, string key, T currentVal,Action<T> update);
 	}
 }
\ No newline at end of file
diff --git a/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs b/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
index 7da376a8..614b5e65 100644
--- a/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
+++ b/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
@@ -77,5 +77,25 @@ public virtual T SynchroniseGet<T>(IRegistry registry, string key)
 			IRegistryResolver resolver = RegistryResolvers.TryGetValue(registry, () => new RegistryResolver(registry));
 			return resolver.ResolveGetSingleWithDefault(key, default(T));
 		}
+
+
+		/// <summary>
+		///	Update a value with a given action if it has changed (<see cref="object.Equals(object)"/>).
+		/// </summary>
+		/// <typeparam name="T">The type of the value that will be gathered.</typeparam>
+		/// <param name="registry">The registry in which the entry will be set.</param>
+		/// <param name="key">The fully resolved identifier for the parameter that will be received.</param>
+		/// <param name="currentVal">The current value of the object.</param>
+		/// <param name="update">The method that will be called if the parameter has to be updated.</param>
+		public void SynchroniseUpdate<T>(IRegistry registry, string key, T currentVal, Action<T> update)
+		{
+			if (update == null) throw new ArgumentNullException(nameof(update));
+
+			T newObj = SynchroniseGet<T>(registry, key);
+			if (newObj != null && currentVal == null || newObj != null && !newObj.Equals(currentVal))
+			{
+				update(newObj);
+			}
+		}
 	}
 }
\ No newline at end of file
diff --git a/Sigma.Core/Training/Hooks/BaseHook.cs b/Sigma.Core/Training/Hooks/BaseHook.cs
index 31ae67d9..253e4aeb 100644
--- a/Sigma.Core/Training/Hooks/BaseHook.cs
+++ b/Sigma.Core/Training/Hooks/BaseHook.cs
@@ -57,7 +57,7 @@ public abstract class BaseHook : IHook
 		/// Set this to true if performance intensive operations (e.g. storing to disk, processing large arrays) are used in this hook.
 		/// Note: When invoked in background, hooks received a complete copy of all required registry entries and can therefore not directly modify the parameters of a worker/operator.
 		/// </summary>
-		public bool InvokeInBackground { get; protected set; } = false;
+		public bool InvokeInBackground { get; protected set; }
 
 		/// <summary>
 		/// The operator that owns this hook and dispatched it for execution. 
@@ -114,16 +114,16 @@ protected BaseHook(ITimeStep timestep, ISet<string> requiredRegistryEntries)
 			ParameterRegistry = new Registry();
 		}
 
-        /// <summary>
-        /// Set this hook to be invoked in a background thread.
-        /// </summary>
-        /// <returns></returns>
-	    public BaseHook SetInvokeInBackground()
-	    {
-	        InvokeInBackground = true;
+		/// <summary>
+		/// Set this hook to be invoked in a background thread.
+		/// </summary>
+		/// <returns></returns>
+		public BaseHook SetInvokeInBackground()
+		{
+			InvokeInBackground = true;
 
-	        return this;
-	    }
+			return this;
+		}
 
 		/// <summary>
 		/// Invoke this hook only when a certain hook invoke criteria is satisfied.
diff --git a/Sigma.Core/Training/Hooks/LambdaHook.cs b/Sigma.Core/Training/Hooks/LambdaHook.cs
index 13ab9d78..55991209 100644
--- a/Sigma.Core/Training/Hooks/LambdaHook.cs
+++ b/Sigma.Core/Training/Hooks/LambdaHook.cs
@@ -35,7 +35,7 @@ public LambdaHook(ITimeStep timestep, Action<IRegistry, IRegistryResolver> invok
 		/// <param name="resolver">A helper resolver for complex registry entries (automatically cached).</param>
 		public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
 		{
-			var action = ParameterRegistry.Get<Action<IRegistry, IRegistryResolver>>("invoke_action");
+			Action<IRegistry, IRegistryResolver> action = ParameterRegistry.Get<Action<IRegistry, IRegistryResolver>>("invoke_action");
 			action.Invoke(registry, resolver);
 		}
 	}
diff --git a/Sigma.Core/Training/Hooks/Reporters/RunningTimeReporter.cs b/Sigma.Core/Training/Hooks/Reporters/RunningTimeReporter.cs
index 54a255cf..a77ec491 100644
--- a/Sigma.Core/Training/Hooks/Reporters/RunningTimeReporter.cs
+++ b/Sigma.Core/Training/Hooks/Reporters/RunningTimeReporter.cs
@@ -27,7 +27,7 @@ public class RunningTimeReporter : BaseHook
 		/// </summary>
 		/// <param name="timeStep">The time step.</param>
 		/// <param name="averageSpan">The interval span to average over.</param>
-		public RunningTimeReporter(TimeStep timeStep, int averageSpan = 4) : base(timeStep)
+		public RunningTimeReporter(ITimeStep timeStep, int averageSpan = 4) : base(timeStep)
 		{
 			DefaultTargetMode = TargetMode.Global;
 
@@ -46,8 +46,8 @@ public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
 		{
 			string baseResultKey = ParameterRegistry.Get<string>("base_result_key");
 
-			long lastTime = resolver.ResolveGetSingleWithDefault<long>(baseResultKey + "_last", -1L);
-			long averageTime = resolver.ResolveGetSingleWithDefault<long>(baseResultKey + "_average", -1L);
+			long lastTime = resolver.ResolveGetSingleWithDefault(baseResultKey + "_last", -1L);
+			long averageTime = resolver.ResolveGetSingleWithDefault(baseResultKey + "_average", -1L);
 
 			Report(TimeStep.TimeScale, lastTime, averageTime);
 		}
diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index e99822d2..cca492ba 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -1,4 +1,5 @@
 using System;
+using System.Windows.Controls;
 using LiveCharts.Wpf;
 using Sigma.Core;
 using Sigma.Core.Architecture;
@@ -17,9 +18,12 @@
 using Sigma.Core.Monitors.WPF.Panels.Charts;
 using Sigma.Core.Monitors.WPF.Panels.Controls;
 using Sigma.Core.Monitors.WPF.Panels.Logging;
+using Sigma.Core.Monitors.WPF.Panels.Parameterisation;
 using Sigma.Core.Monitors.WPF.Utils;
 using Sigma.Core.Monitors.WPF.View.CustomControls.StatusBar;
+using Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults;
 using Sigma.Core.Training;
+using Sigma.Core.Training.Hooks;
 using Sigma.Core.Training.Hooks.Reporters;
 using Sigma.Core.Training.Initialisers;
 using Sigma.Core.Training.Operators.Backends.NativeCpu;
@@ -76,7 +80,18 @@ private static void Main()
 					//accuracy.Fast();
 
 					// add the newly created panel
-					window.TabControl["Overview"].AddCumulativePanel(cost, 1, 2, iris);
+					window.TabControl["Overview"].AddCumulativePanel(cost, 1, 1, iris);
+
+					IRegistry regTest = new Registry();
+					regTest.Add("test", DateTime.Now);
+
+					var parameter = new ParameterPanel("Parameters", sigma, window);
+					parameter.Add("Time", typeof(DateTime), regTest, "test");
+					var costBlock = new SigmaTimeBlock();
+					costBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+					parameter.Content.Add(new Label { Content = "Time" }, costBlock, trainer.Operator.Registry, "optimiser.learning_rate");
+
+					window.TabControl["Overview"].AddCumulativePanel(parameter);
 
 					//window.TabControl["Overview"].AddCumulativePanel(accuracy);
 

From 4e83074c06180bd2337445f76ff66ba2639c1feb Mon Sep 17 00:00:00 2001
From: Michael Plainer <plainer@ymail.com>
Date: Thu, 13 Apr 2017 23:38:31 +0200
Subject: [PATCH 17/40] Add SynchronisationSources

---
 .../UserControlParameterVisualiser.cs         |  3 +-
 .../ISynchronisationHandler.cs                | 13 ++++
 .../Synchronisation/ISynchronisationSource.cs | 28 +++++++
 .../Synchronisation/SetValueCommand.cs        |  1 +
 .../Synchronisation/SynchronisationHandler.cs | 57 +++++++++++++-
 Sigma.Core/Sigma.Core.csproj                  |  1 +
 Sigma.Core/Utils/Registry.cs                  | 76 +++++++++----------
 Sigma.Tests.Internals.WPF/Program.cs          |  6 +-
 8 files changed, 140 insertions(+), 45 deletions(-)
 create mode 100644 Sigma.Core/Monitors/Synchronisation/ISynchronisationSource.cs

diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/UserControlParameterVisualiser.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/UserControlParameterVisualiser.cs
index c74951da..4b5f2627 100644
--- a/Sigma.Core.Monitors.WPF/View/Parameterisation/UserControlParameterVisualiser.cs
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/UserControlParameterVisualiser.cs
@@ -81,8 +81,7 @@ public virtual void AutoPollValues(ITrainer trainer, ITimeStep step)
 		{
 			if (ActiveHook != null)
 			{
-					trainer.Operator.DetachGlobalHook(ActiveHook);
-
+				trainer.Operator.DetachGlobalHook(ActiveHook);
 			}
 
 			ActiveHook = new PollParameterHook(step, this);
diff --git a/Sigma.Core/Monitors/Synchronisation/ISynchronisationHandler.cs b/Sigma.Core/Monitors/Synchronisation/ISynchronisationHandler.cs
index e96eedc7..de410f45 100644
--- a/Sigma.Core/Monitors/Synchronisation/ISynchronisationHandler.cs
+++ b/Sigma.Core/Monitors/Synchronisation/ISynchronisationHandler.cs
@@ -21,6 +21,19 @@ public interface ISynchronisationHandler
 		/// </summary>
 		SigmaEnvironment Sigma { get; }
 
+		/// <summary>
+		/// Add an additional source that will be used if the values cannot be found. 
+		/// </summary>
+		/// <param name="source">The source that will be added.</param>
+		void AddSynchronisationSource(ISynchronisationSource source);
+
+		/// <summary>
+		/// Remove an additional source.
+		/// </summary>
+		/// <param name="source">The source that will be removed.</param>
+		/// <returns><c>True</c> if teh source could be removed, <c>false</c> otherwise.</returns>
+		bool RemoveSynchronisationSource(ISynchronisationSource source);
+
 		/// <summary>
 		/// Indicate that a value has changed and synchronise it with the given <see cref="SigmaEnvironment"/>.
 		/// 
diff --git a/Sigma.Core/Monitors/Synchronisation/ISynchronisationSource.cs b/Sigma.Core/Monitors/Synchronisation/ISynchronisationSource.cs
new file mode 100644
index 00000000..0552a024
--- /dev/null
+++ b/Sigma.Core/Monitors/Synchronisation/ISynchronisationSource.cs
@@ -0,0 +1,28 @@
+using System.Collections.Generic;
+
+namespace Sigma.Core.Monitors.Synchronisation
+{
+	/// <summary>
+	/// A synchronisation source provides additional data for a synchronisation handler if a value cannot be found in the default registry.
+	/// </summary>
+	public interface ISynchronisationSource
+	{
+		/// <summary>
+		/// Try to retrieve a value from this source (if existent).
+		/// </summary>
+		/// <typeparam name="T">The type of the value that will be retrieved.</typeparam>
+		/// <param name="key">The key of the value.</param>
+		/// <param name="val">The value itself that will be assigned if it could be retrieved, <c>null</c> otherwise.</param>
+		/// <returns><c>True</c> if the source could retrieve given key, <c>false</c> otherwise.</returns>
+		bool TryGet<T>(string key, out T val);
+
+		/// <summary>
+		/// Try to set a value from this source (if existent).
+		/// </summary>
+		/// <typeparam name="T">The type of the value that will be set.</typeparam>
+		/// <param name="key">The key of the value.</param>
+		/// <param name="val">The value itself that will be assigned if it applicable.</param>
+		/// <returns><c>True</c> if the source could set given key, <c>false</c> otherwise.</returns>
+		bool TrySet<T>(string key, T val);
+	}
+}
\ No newline at end of file
diff --git a/Sigma.Core/Monitors/Synchronisation/SetValueCommand.cs b/Sigma.Core/Monitors/Synchronisation/SetValueCommand.cs
index 5e59f5dc..cbad4a4d 100644
--- a/Sigma.Core/Monitors/Synchronisation/SetValueCommand.cs
+++ b/Sigma.Core/Monitors/Synchronisation/SetValueCommand.cs
@@ -110,6 +110,7 @@ public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
 
 			for (int i = 0; i < keys.Length; i++)
 			{
+				//TODO: validate if successfully set and call error otherwise (for each key?)
 				resolver.ResolveSet(keys[i], values[i], AddItentifierIfNotExists, typeof(T));
 			}
 		}
diff --git a/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs b/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
index 614b5e65..9caa0f7a 100644
--- a/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
+++ b/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
@@ -17,7 +17,7 @@ namespace Sigma.Core.Monitors.Synchronisation
 	/// The default synchronisation handler for Sigma. It is responsible for syncing values between monitors 
 	/// and the environment itself.
 	/// </summary>
-	public class SynchronisationHandler : ISynchronisationHandler
+	public class SynchronisationHandler : ISynchronisationHandler, ISynchronisationSource
 	{
 		/// <summary>
 		/// The environment this handler is associated with.
@@ -29,6 +29,11 @@ public class SynchronisationHandler : ISynchronisationHandler
 		/// </summary>
 		protected Dictionary<IRegistry, IRegistryResolver> RegistryResolvers { get; }
 
+		/// <summary>
+		/// The assigned synchronisation sources.
+		/// </summary>
+		protected List<ISynchronisationSource> Sources;
+
 		/// <summary>
 		/// Default constructor for <see cref="ISynchronisationHandler"/>. 
 		/// </summary>
@@ -39,10 +44,25 @@ public SynchronisationHandler(SigmaEnvironment sigma)
 			if (sigma == null) throw new ArgumentNullException(nameof(sigma));
 
 			RegistryResolvers = new Dictionary<IRegistry, IRegistryResolver>();
+			Sources = new List<ISynchronisationSource>();
 
 			Sigma = sigma;
 		}
 
+		/// <inheritdoc />
+		public void AddSynchronisationSource(ISynchronisationSource source)
+		{
+			if (source == null) throw new ArgumentNullException(nameof(source));
+			Sources.Add(source);
+		}
+
+		/// <inheritdoc />
+		public bool RemoveSynchronisationSource(ISynchronisationSource source)
+		{
+			if (source == null) throw new ArgumentNullException(nameof(source));
+			return Sources.Remove(source);
+		}
+
 		/// <inheritdoc />
 		public virtual void SynchroniseSet<T>(IRegistry registry, string key, T val, Action<T> onSuccess = null, Action<Exception> onError = null)
 		{
@@ -52,6 +72,7 @@ public virtual void SynchroniseSet<T>(IRegistry registry, string key, T val, Act
 				if (ReferenceEquals(op.Registry, registry))
 				{
 					//TODO: test if callback is called
+					//TODO: on error check sources for other to set the value
 					op.InvokeCommand(new SetValueCommand<T>(key, val, () => onSuccess?.Invoke(val)));
 
 					return;
@@ -75,9 +96,27 @@ public virtual void SynchroniseSet<T>(IRegistry registry, string key, T val, Act
 		public virtual T SynchroniseGet<T>(IRegistry registry, string key)
 		{
 			IRegistryResolver resolver = RegistryResolvers.TryGetValue(registry, () => new RegistryResolver(registry));
-			return resolver.ResolveGetSingleWithDefault(key, default(T));
-		}
+			//return resolver.ResolveGetSingle<>()
+			string[] emptyArrayThrowaway;
+
+			T[] result = resolver.ResolveGet<T>(key, out emptyArrayThrowaway);
+
+			if (result.Length != 0)
+			{
+				return result[0];
+			}
+
+			foreach (ISynchronisationSource source in Sources)
+			{
+				T res;
+				if (source.TryGet(key, out res))
+				{
+					return res;
+				}
+			}
 
+			return default(T);
+		}
 
 		/// <summary>
 		///	Update a value with a given action if it has changed (<see cref="object.Equals(object)"/>).
@@ -97,5 +136,17 @@ public void SynchroniseUpdate<T>(IRegistry registry, string key, T currentVal, A
 				update(newObj);
 			}
 		}
+
+		/// <inheritdoc />
+		bool ISynchronisationSource.TryGet<T>(string key, out T val)
+		{
+			throw new NotImplementedException("Get currently not implemented as no registry is passed");
+		}
+
+		/// <inheritdoc />
+		bool ISynchronisationSource.TrySet<T>(string key, T val)
+		{
+			throw new NotImplementedException("Set currently not implemented as there is no error");
+		}
 	}
 }
\ No newline at end of file
diff --git a/Sigma.Core/Sigma.Core.csproj b/Sigma.Core/Sigma.Core.csproj
index b964c061..8af6bc17 100644
--- a/Sigma.Core/Sigma.Core.csproj
+++ b/Sigma.Core/Sigma.Core.csproj
@@ -208,6 +208,7 @@
     <Compile Include="Monitors\IMonitor.cs" />
     <Compile Include="Monitors\MonitorAdapter.cs" />
     <Compile Include="Monitors\Synchronisation\ISynchronisationHandler.cs" />
+    <Compile Include="Monitors\Synchronisation\ISynchronisationSource.cs" />
     <Compile Include="Monitors\Synchronisation\SetValueCommand.cs" />
     <Compile Include="Monitors\Synchronisation\SynchronisationHandler.cs" />
     <Compile Include="Parameterisation\IParameterisationManager.cs" />
diff --git a/Sigma.Core/Utils/Registry.cs b/Sigma.Core/Utils/Registry.cs
index fe0e4e48..94649cc6 100644
--- a/Sigma.Core/Utils/Registry.cs
+++ b/Sigma.Core/Utils/Registry.cs
@@ -28,10 +28,10 @@ public class Registry : IRegistry, ISerialisationNotifier
 		internal Dictionary<string, object> MappedValues;
 		internal Dictionary<string, Type> AssociatedTypes;
 
-        [NonSerialized]
-	    private ISet<IRegistryHierarchyChangeListener> _hierarchyChangeListeners;
+		[NonSerialized]
+		private ISet<IRegistryHierarchyChangeListener> _hierarchyChangeListeners;
 
-	    public bool CheckTypes
+		public bool CheckTypes
 		{
 			get; set;
 		} = true;
@@ -55,17 +55,17 @@ public bool ExceptionOnCopyNonDeepCopyable
 
 		public ISet<string> Tags { get; }
 
-	    public ISet<IRegistryHierarchyChangeListener> HierarchyChangeListeners
-	    {
-	        get { return _hierarchyChangeListeners; }
-	    }
+		public ISet<IRegistryHierarchyChangeListener> HierarchyChangeListeners
+		{
+			get { return _hierarchyChangeListeners; }
+		}
 
-	    /// <summary>
-	    /// Create a registry with a certain (optional) parent and an (optional) list of tags.
-	    /// </summary>
-	    /// <param name="parent">The optional parent to this registry.</param>
-	    /// <param name="tags">The optional tags to this registry.</param>
-	    public Registry(IRegistry parent = null, params string[] tags)
+		/// <summary>
+		/// Create a registry with a certain (optional) parent and an (optional) list of tags.
+		/// </summary>
+		/// <param name="parent">The optional parent to this registry.</param>
+		/// <param name="tags">The optional tags to this registry.</param>
+		public Registry(IRegistry parent = null, params string[] tags)
 		{
 			Parent = parent;
 			Root = Parent?.Root ?? Parent;
@@ -379,10 +379,10 @@ public IEnumerator GetValueIterator()
 			return MappedValues.Values.GetEnumerator();
 		}
 
-	    public override string ToString()
-	    {
-	        return $"registry tagged as {(Tags.Count == 0 ? "<none>" : string.Join("", Tags))} with {MappedValues.Count} entries";
-	    }
+		public override string ToString()
+		{
+			return $"registry tagged as {(Tags.Count == 0 ? "<none>" : string.Join("", Tags))} with {MappedValues.Count} entries";
+		}
 
 		public string FancyToString()
 		{
@@ -416,27 +416,27 @@ public bool RegistryContentEquals(IRegistry other)
 			return other != null && MappedValues.Count == other.Count && MappedValues.Keys.All(k => other.ContainsKey(k) && Equals(MappedValues[k], other[k]));
 		}
 
-	    /// <summary>
-	    /// Called before this object is serialised.
-	    /// </summary>
-	    public void OnSerialising()
-	    {
-	    }
-
-	    /// <summary>
-	    /// Called after this object was serialised.
-	    /// </summary>
-	    public void OnSerialised()
-	    {
-	    }
-
-	    /// <summary>
-	    /// Called after this object was de-serialised. 
-	    /// </summary>
-	    public void OnDeserialised()
-	    {
-            _hierarchyChangeListeners = new HashSet<IRegistryHierarchyChangeListener>();
-	    }
+		/// <summary>
+		/// Called before this object is serialised.
+		/// </summary>
+		public void OnSerialising()
+		{
+		}
+
+		/// <summary>
+		/// Called after this object was serialised.
+		/// </summary>
+		public void OnSerialised()
+		{
+		}
+
+		/// <summary>
+		/// Called after this object was de-serialised. 
+		/// </summary>
+		public void OnDeserialised()
+		{
+			_hierarchyChangeListeners = new HashSet<IRegistryHierarchyChangeListener>();
+		}
 	}
 
 	/// <summary>
diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index cca492ba..ce27b455 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -20,10 +20,8 @@
 using Sigma.Core.Monitors.WPF.Panels.Logging;
 using Sigma.Core.Monitors.WPF.Panels.Parameterisation;
 using Sigma.Core.Monitors.WPF.Utils;
-using Sigma.Core.Monitors.WPF.View.CustomControls.StatusBar;
 using Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults;
 using Sigma.Core.Training;
-using Sigma.Core.Training.Hooks;
 using Sigma.Core.Training.Hooks.Reporters;
 using Sigma.Core.Training.Initialisers;
 using Sigma.Core.Training.Operators.Backends.NativeCpu;
@@ -91,6 +89,10 @@ private static void Main()
 					costBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 					parameter.Content.Add(new Label { Content = "Time" }, costBlock, trainer.Operator.Registry, "optimiser.learning_rate");
 
+					var heeBlock = new SigmaTimeBlock();
+					heeBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+					parameter.Content.Add(new Label { Content = "Cost" }, heeBlock, trainer.Operator.Registry, "optimiser.cost_total");
+
 					window.TabControl["Overview"].AddCumulativePanel(parameter);
 
 					//window.TabControl["Overview"].AddCumulativePanel(accuracy);

From 34946707a21c76574fb69290a912813b105f650a Mon Sep 17 00:00:00 2001
From: Michael Plainer <plainer@ymail.com>
Date: Fri, 14 Apr 2017 13:56:07 +0200
Subject: [PATCH 18/40] Add ValueSourceReporterHook

---
 .../Synchronisation/SynchronisationHandler.cs |  17 +-
 Sigma.Core/Sigma.Core.csproj                  |   1 +
 .../Reporters/ValueSourceReporterHook.cs      | 145 ++++++++++++++++++
 Sigma.Tests.Internals.WPF/Program.cs          |  16 +-
 4 files changed, 166 insertions(+), 13 deletions(-)
 create mode 100644 Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs

diff --git a/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs b/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
index 9caa0f7a..5d39db3e 100644
--- a/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
+++ b/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
@@ -95,15 +95,18 @@ public virtual void SynchroniseSet<T>(IRegistry registry, string key, T val, Act
 		/// <inheritdoc />
 		public virtual T SynchroniseGet<T>(IRegistry registry, string key)
 		{
-			IRegistryResolver resolver = RegistryResolvers.TryGetValue(registry, () => new RegistryResolver(registry));
-			//return resolver.ResolveGetSingle<>()
-			string[] emptyArrayThrowaway;
+			if (registry != null)
+			{
+				IRegistryResolver resolver = RegistryResolvers.TryGetValue(registry, () => new RegistryResolver(registry));
+				//return resolver.ResolveGetSingle<>()
+				string[] emptyArrayThrowaway;
 
-			T[] result = resolver.ResolveGet<T>(key, out emptyArrayThrowaway);
+				T[] result = resolver.ResolveGet<T>(key, out emptyArrayThrowaway);
 
-			if (result.Length != 0)
-			{
-				return result[0];
+				if (result.Length != 0)
+				{
+					return result[0];
+				}
 			}
 
 			foreach (ISynchronisationSource source in Sources)
diff --git a/Sigma.Core/Sigma.Core.csproj b/Sigma.Core/Sigma.Core.csproj
index 8af6bc17..6ca61e41 100644
--- a/Sigma.Core/Sigma.Core.csproj
+++ b/Sigma.Core/Sigma.Core.csproj
@@ -244,6 +244,7 @@
     <Compile Include="Training\Hooks\Reporters\RunningTimeReporter.cs" />
     <Compile Include="Training\Hooks\Reporters\ValidationAccuracyReporter.cs" />
     <Compile Include="Training\Hooks\Reporters\ValueReporterHook.cs" />
+    <Compile Include="Training\Hooks\Reporters\ValueSourceReporterHook.cs" />
     <Compile Include="Training\Hooks\Saviors\DiskSaviorHook.cs" />
     <Compile Include="Training\Hooks\Scorers\BaseValidationScorer.cs" />
     <Compile Include="Training\Hooks\Scorers\ValidationAccuracyScorer.cs" />
diff --git a/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs b/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
new file mode 100644
index 00000000..39ac56dc
--- /dev/null
+++ b/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
@@ -0,0 +1,145 @@
+using System.Collections.Generic;
+using Sigma.Core.Utils;
+using Sigma.Core.Monitors.Synchronisation;
+
+namespace Sigma.Core.Training.Hooks.Reporters
+{
+	/// <summary>
+	/// A hook that stores given values and can provide them to a <see cref="ISynchronisationHandler"/> as a source.
+	/// </summary>
+	public class ValueSourceReporterHook : ValueReporterHook, ISynchronisationSource
+	{
+		private const string ValueIdentifier = "values";
+		//private readonly IDictionary<string, object> _values = new Dictionary<string, object>();
+
+		/// <summary>
+		///	Create a hook that fetches a given value (i.e. registry identifier) at a given <see cref="ITimeStep"/>.
+		/// </summary>
+		/// <param name="valueIdentifier">The value that will be fetched (i.e. registry identifier). E.g. <c>"optimiser.cost_total"</c></param>
+		/// <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
+		public ValueSourceReporterHook(string valueIdentifier, ITimeStep timestep) : base(valueIdentifier, timestep)
+		{
+			Initialise(valueIdentifier);
+		}
+
+		/// <summary>
+		/// Create a hook that conditionally (extrema criteria) fetches a given value (i.e. registry identifier) at a given <see cref="ITimeStep"/>.
+		/// </summary>
+		/// <param name="valueIdentifier">The value that will be fetched (i.e. registry identifier). E.g. <c>"optimiser.cost_total"</c></param>
+		/// <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
+		/// <param name="target">The extrema criteria target.</param>
+		public ValueSourceReporterHook(string valueIdentifier, ITimeStep timestep, ExtremaTarget target) : base(valueIdentifier, timestep, target)
+		{
+			Initialise(valueIdentifier);
+		}
+
+		/// <summary>
+		/// Create a hook that conditionally (threshold criteria) fetches a given value (i.e. registry identifier) at a given <see cref="ITimeStep"/>.
+		/// </summary>
+		/// <param name="valueIdentifier">The value that will be fetched (i.e. registry identifier). E.g. <c>"optimiser.cost_total"</c></param>
+		/// <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
+		/// <param name="threshold">The threshold to compare against.</param>
+		/// <param name="target">The threshold criteria comparison target.</param>
+		/// <param name="fireContinously">If the value should be reported every time step the criteria is satisfied (or just once).</param>
+		public ValueSourceReporterHook(string valueIdentifier, ITimeStep timestep, double threshold, ComparisonTarget target, bool fireContinously = true) : base(valueIdentifier, timestep, threshold, target, fireContinously)
+		{
+			Initialise(valueIdentifier);
+		}
+
+		/// <summary>
+		///	Create a hook that fetches a given amount of values (i.e. registry identifiers) at a given <see cref="ITimeStep"/>.
+		/// </summary>
+		/// <param name="valueIdentifiers">The values that will be fetched (i.e. registry identifiers). E.g. <c>"optimiser.cost_total"</c>, ...</param>
+		/// <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
+		public ValueSourceReporterHook(string[] valueIdentifiers, ITimeStep timestep) : base(valueIdentifiers, timestep)
+		{
+			Initialise(valueIdentifiers);
+		}
+
+		private void Initialise()
+		{
+			ParameterRegistry.Add(ValueIdentifier, new Dictionary<string, object>());
+		}
+
+		/// <summary>
+		/// Initialise the dictionary containing the values with given <see ref="valueIdentifier"/>.
+		/// </summary>
+		/// <param name="valueIdentifier">The value that will be fetched.</param>
+		protected void Initialise(string valueIdentifier)
+		{
+			Initialise();
+			IDictionary<string, object> values = (IDictionary<string, object>) ParameterRegistry[ValueIdentifier];
+			values.Add(valueIdentifier, null);
+		}
+
+		/// <summary>
+		/// Initialise the dictionary containing the values with given <see ref="valueIdentifiers"/>.
+		/// </summary>
+		/// <param name="valueIdentifiers">The values that will be fetched.</param>
+		protected void Initialise(string[] valueIdentifiers)
+		{
+			Initialise();
+			IDictionary<string, object> values = (IDictionary<string, object>) ParameterRegistry[ValueIdentifier];
+
+			foreach (string identifier in valueIdentifiers)
+			{
+				values.Add(identifier, null);
+			}
+		}
+
+		/// <summary>
+		/// Report the values for a certain epoch / iteration.
+		/// Note: By default, this method writes to the logger. If you want to report to anywhere else, overwrite this method.
+		/// </summary>
+		/// <param name="valuesByIdentifier">The values by their identifier.</param>
+		protected override void ReportValues(IDictionary<string, object> valuesByIdentifier)
+		{
+			IDictionary<string, object> values = (IDictionary<string, object>) ParameterRegistry[ValueIdentifier];
+
+			//TODO: validate lock requirement, probably it is required
+			lock (values)
+			{
+				foreach (KeyValuePair<string, object> valuePair in valuesByIdentifier)
+				{
+					values[valuePair.Key] = valuePair.Value;
+				}
+			}
+		}
+
+		/// <summary>
+		/// Try to retrieve a value from this source (if existent).
+		/// </summary>
+		/// <typeparam name="T">The type of the value that will be retrieved.</typeparam>
+		/// <param name="key">The key of the value.</param>
+		/// <param name="val">The value itself that will be assigned if it could be retrieved, <c>null</c> otherwise.</param>
+		/// <returns><c>True</c> if the source could retrieve given key, <c>false</c> otherwise.</returns>
+		public bool TryGet<T>(string key, out T val)
+		{
+			IDictionary<string, object> values = (IDictionary<string, object>) ParameterRegistry[ValueIdentifier];
+
+			//TODO: validate lock requirement, probably it is required
+			lock (values)
+			{
+				object oVal;
+
+				bool ret = values.TryGetValue(key, out oVal);
+				val = (T) oVal;
+
+				return ret;
+			}
+		}
+
+		/// <summary>
+		/// No set supported in this observative hook. 
+		/// </summary>
+		/// <typeparam name="T">The type of the value that will be set.</typeparam>
+		/// <param name="key">The key of the value.</param>
+		/// <param name="val">The value itself that will be assigned if it applicable.</param>
+		/// <returns><c>True</c> if the source could set given key, <c>false</c> otherwise.</returns>
+		public bool TrySet<T>(string key, T val)
+		{
+			// a set is not supported
+			return false;
+		}
+	}
+}
\ No newline at end of file
diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index ce27b455..4bfcb9b8 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -17,7 +17,6 @@
 using Sigma.Core.Monitors.WPF.Model.UI.StatusBar;
 using Sigma.Core.Monitors.WPF.Panels.Charts;
 using Sigma.Core.Monitors.WPF.Panels.Controls;
-using Sigma.Core.Monitors.WPF.Panels.Logging;
 using Sigma.Core.Monitors.WPF.Panels.Parameterisation;
 using Sigma.Core.Monitors.WPF.Utils;
 using Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults;
@@ -85,19 +84,24 @@ private static void Main()
 
 					var parameter = new ParameterPanel("Parameters", sigma, window);
 					parameter.Add("Time", typeof(DateTime), regTest, "test");
+
+					ValueSourceReporterHook valueHook = new ValueSourceReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch));
+					trainer.AddLocalHook(valueHook);
+					sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
+
 					var costBlock = new SigmaTimeBlock();
 					costBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
-					parameter.Content.Add(new Label { Content = "Time" }, costBlock, trainer.Operator.Registry, "optimiser.learning_rate");
+					parameter.Content.Add(new Label { Content = "Cost" }, costBlock, trainer.Operator.Registry, "optimiser.cost_total");
 
-					var heeBlock = new SigmaTimeBlock();
-					heeBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
-					parameter.Content.Add(new Label { Content = "Cost" }, heeBlock, trainer.Operator.Registry, "optimiser.cost_total");
+					//var heeBlock = new SigmaTimeBlock();
+					//heeBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+					//parameter.Content.Add(new Label { Content = "Cost" }, heeBlock, null, "optimiser.cost_total");
 
 					window.TabControl["Overview"].AddCumulativePanel(parameter);
 
 					//window.TabControl["Overview"].AddCumulativePanel(accuracy);
 
-					window.TabControl["Overview"].AddCumulativePanel(new LogDataGridPanel("Log"), 1, 3, general);
+					//window.TabControl["Overview"].AddCumulativePanel(new LogDataGridPanel("Log"), 1, 3, general);
 
 					// finish initialisation
 					window.IsInitializing = false;

From 93bf5e8922fff1b5102656d51be7dcef83d69301 Mon Sep 17 00:00:00 2001
From: Michael Plainer <plainer@ymail.com>
Date: Fri, 14 Apr 2017 14:53:54 +0200
Subject: [PATCH 19/40] Add generic visualisers

---
 .../Sigma.Core.Monitors.WPF.csproj            |   2 +
 .../Defaults/SigmaDynamicGenericBox.cs        |  59 ++++++++++
 .../Defaults/SigmaGenericBox.cs               |  68 +++++++++++
 .../Defaults/SigmaSlider.xaml                 |   2 +-
 .../Defaults/SigmaTextBox.xaml.cs             | 108 +-----------------
 .../Parameterisation/ParameterView.xaml.cs    |  11 +-
 .../ParameterVisualiserAttribute.cs           |  25 +++-
 .../ParameterVisualiserInfo.cs                |  18 +--
 .../IParameterVisualiserInfo.cs               |   7 ++
 .../IParameterVisualiserManager.cs            |   6 +
 .../ParameterVisualiserManager.cs             |  42 +++++--
 .../Reporters/ValueSourceReporterHook.cs      |  18 ++-
 Sigma.Tests.Internals.WPF/Program.cs          |  11 +-
 13 files changed, 240 insertions(+), 137 deletions(-)
 create mode 100644 Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaDynamicGenericBox.cs
 create mode 100644 Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaGenericBox.cs

diff --git a/Sigma.Core.Monitors.WPF/Sigma.Core.Monitors.WPF.csproj b/Sigma.Core.Monitors.WPF/Sigma.Core.Monitors.WPF.csproj
index 849159bd..8010611e 100644
--- a/Sigma.Core.Monitors.WPF/Sigma.Core.Monitors.WPF.csproj
+++ b/Sigma.Core.Monitors.WPF/Sigma.Core.Monitors.WPF.csproj
@@ -223,6 +223,8 @@
     <Compile Include="View\Parameterisation\Defaults\SigmaComboBox.xaml.cs">
       <DependentUpon>SigmaComboBox.xaml</DependentUpon>
     </Compile>
+    <Compile Include="View\Parameterisation\Defaults\SigmaDynamicGenericBox.cs" />
+    <Compile Include="View\Parameterisation\Defaults\SigmaGenericBox.cs" />
     <Compile Include="View\Parameterisation\Defaults\SigmaSlider.xaml.cs">
       <DependentUpon>SigmaSlider.xaml</DependentUpon>
     </Compile>
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaDynamicGenericBox.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaDynamicGenericBox.cs
new file mode 100644
index 00000000..7e11bf59
--- /dev/null
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaDynamicGenericBox.cs
@@ -0,0 +1,59 @@
+using System;
+using System.ComponentModel;
+
+namespace Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults
+{
+	/// <summary>
+	/// This is a generic text box that automatically uses the type of the registry in order to correctly display and parse to / from the value.
+	/// 
+	/// It is necessary for XAML or other cases where generics are not possible.
+	/// </summary>
+	public class SigmaDynamicGenericBox : SigmaTextBox
+	{
+		/// <summary>
+		/// The converter that converts the given type for the registry
+		/// </summary>
+		public TypeConverter Converter { get; protected set; }
+
+		/// <summary>
+		/// The current value that is displayed
+		/// </summary>
+		public object CurrentValue { get; protected set; }
+
+		/// <summary>
+		/// Force the visualiser to update its value (i.e. display the value that is stored).
+		/// </summary>
+		public override void Read()
+		{
+			object obj = SynchronisationHandler.SynchroniseGet<object>(Registry, Key);
+
+			if (Converter == null && obj != null)
+			{
+				Converter = TypeDescriptor.GetConverter(obj.GetType());
+			}
+
+			if (obj != null)
+			{
+				CurrentValue = obj;
+				Text = obj.ToString();
+			}
+		}
+
+		/// <summary>
+		/// Force the visualiser to store its value (i.e. write the value that is displayed to the registry).
+		/// </summary>
+		public override void Write()
+		{
+			try
+			{
+				object convertedVal = Converter.ConvertFromString(Text);
+				Pending = true;
+				SynchronisationHandler.SynchroniseSet(Registry, Key, convertedVal, val => Pending = false, e => Errored = true);
+			}
+			catch (Exception)
+			{
+				Errored = true;
+			}
+		}
+	}
+}
\ No newline at end of file
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaGenericBox.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaGenericBox.cs
new file mode 100644
index 00000000..b977c90d
--- /dev/null
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaGenericBox.cs
@@ -0,0 +1,68 @@
+using System;
+using System.ComponentModel;
+using Sigma.Core.Monitors.WPF.ViewModel.Parameterisation;
+
+namespace Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults
+{
+	/// <summary>
+	/// A textbox that can convert from and to an arbitrary object with a type converter.
+	/// </summary>
+	/// <typeparam name="T">The type that is currently being represented.</typeparam>
+	[GenericParameterVisualiser(typeof(double), Priority = VisualiserPriority.Lower)]
+	[GenericParameterVisualiser(typeof(float), Priority = VisualiserPriority.Lower)]
+	[GenericParameterVisualiser(typeof(short), Priority = VisualiserPriority.Lower)]
+	[GenericParameterVisualiser(typeof(int), Priority = VisualiserPriority.Lower)]
+	[GenericParameterVisualiser(typeof(long), Priority = VisualiserPriority.Lower)]
+	public class SigmaGenericBox<T> : SigmaTextBox
+	{
+		/// <summary>
+		/// The converter that converts the given type for the registry
+		/// </summary>
+		public TypeConverter Converter { get; protected set; }
+
+		/// <summary>
+		/// The current active value.
+		/// </summary>
+		protected T CurrentValue;
+
+		/// <summary>
+		/// Create a generic box and initialise the converter.
+		/// </summary>
+		public SigmaGenericBox()
+		{
+			Converter = TypeDescriptor.GetConverter(typeof(T));
+		}
+
+		/// <summary>
+		/// Force the visualiser to update its value (i.e. display the value that is stored).
+		/// </summary>
+		public override void Read()
+		{
+			CurrentValue = SynchronisationHandler.SynchroniseGet<T>(Registry, Key);
+			Text = CurrentValue.ToString();
+		}
+
+		/// <summary>
+		/// Force the visualiser to store its value (i.e. write the value that is displayed to the registry).
+		/// </summary>
+		public override void Write()
+		{
+			try
+			{
+				T convertedValue = (T) Converter.ConvertFromString(Text);
+				Pending = true;
+				SynchronisationHandler.SynchroniseSet(Registry, Key, convertedValue, val =>
+				{
+					Pending = false;
+					Errored = false;
+				}, e => Errored = true);
+
+			}
+			catch (Exception)
+			{
+				Errored = true;
+				throw;
+			}
+		}
+	}
+}
\ No newline at end of file
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaSlider.xaml b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaSlider.xaml
index e2dbc879..15d9a139 100644
--- a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaSlider.xaml
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaSlider.xaml
@@ -26,7 +26,7 @@
 				IsEnabled="{Binding IsReadOnly, Converter={StaticResource InverseBooleanConverter}}"
 				VerticalAlignment="Center"/>
 
-		<defaults:DynamicConverterBox x:Name="TextBox" x:FieldModifier="public"
+		<defaults:SigmaDynamicGenericBox x:Name="TextBox" x:FieldModifier="public"
 									  Grid.Column="1"
 									  Margin="5,0,0,0"
 									  VerticalAlignment="Center"/>
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTextBox.xaml.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTextBox.xaml.cs
index a1cc1bc2..9dc7c7a4 100644
--- a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTextBox.xaml.cs
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTextBox.xaml.cs
@@ -15,110 +15,6 @@ For full license see LICENSE in the root directory of this project.
 
 namespace Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults
 {
-	//[ParameterVisualiser(typeof(float), Priority = VisualiserPriority.Lower)]
-	//internal class SigmaFloatBox : DynamicConverterBox
-	//{ }
-
-	//[ParameterVisualiser(typeof(double), Priority = VisualiserPriority.Lower)]
-	//internal class SigmaDoubleBox : DynamicConverterBox
-	//{ }
-
-	///// <summary>
-	///// Sigmas way of converting a string to given value (e.g. double)
-	///// </summary>
-	//public class SigmaConverterBox<T> : SigmaTextBox
-	//{
-	//	/// <summary>
-	//	/// The converter that converts the given type for the registry
-	//	/// </summary>
-	//	protected readonly TypeConverter Converter;
-
-	//	public SigmaConverterBox()
-	//	{
-	//		Converter = TypeDescriptor.GetConverter(typeof(T));
-	//	}
-
-	//	/// <summary>
-	//	/// Force the visualiser to update its value (i.e. display the value that is stored).
-	//	/// </summary>
-	//	public override void Read()
-	//	{
-	//		Text = SynchronisationHandler.SynchroniseGet<T>(Registry, Key).ToString();
-	//	}
-
-	//	/// <summary>
-	//	/// Force the visualiser to store its value (i.e. write the value that is displayed to the registry).
-	//	/// </summary>
-	//	public override void Write()
-	//	{
-	//		try
-	//		{
-	//			T num = (T) Converter.ConvertFromString(Text);
-	//			Pending = true;
-	//			SynchronisationHandler.SynchroniseSet(Registry, Key, num, val => Pending = false, e => Errored = true);
-	//		}
-	//		catch (Exception)
-	//		{
-	//			Errored = true;
-	//		}
-	//	}
-	//}
-	[ParameterVisualiser(typeof(float), Priority = VisualiserPriority.Lower)]
-	[ParameterVisualiser(typeof(double), Priority = VisualiserPriority.Lower)]
-	[ParameterVisualiser(typeof(long), Priority = VisualiserPriority.Lower)]
-	[ParameterVisualiser(typeof(int), Priority = VisualiserPriority.Lower)]
-	[ParameterVisualiser(typeof(short), Priority = VisualiserPriority.Lower)]
-	public class DynamicConverterBox : SigmaTextBox
-	{
-		/// <summary>
-		/// The converter that converts the given type for the registry
-		/// </summary>
-		public TypeConverter Converter { get; protected set; }
-
-		public object CurrentValue { get; protected set; }
-
-		/// <summary>
-		/// Force the visualiser to update its value (i.e. display the value that is stored).
-		/// </summary>
-		public override void Read()
-		{
-			object obj = SynchronisationHandler.SynchroniseGet<object>(Registry, Key);
-
-			if (Converter == null && obj != null)
-			{
-				Converter = TypeDescriptor.GetConverter(obj.GetType());
-			}
-
-			if (obj != null)
-			{
-				CurrentValue = obj;
-				Text = obj.ToString();
-			}
-		}
-
-		/// <summary>
-		/// Force the visualiser to store its value (i.e. write the value that is displayed to the registry).
-		/// </summary>
-		public override void Write()
-		{
-			try
-			{
-				object convertedVal = Converter.ConvertFromString(Text);
-				Pending = true;
-				SynchronisationHandler.SynchroniseSet(Registry, Key, convertedVal, val => Pending = false, e => Errored = true);
-			}
-			catch (Exception)
-			{
-				Errored = true;
-
-#if DEBUG
-				//TODO: such an ugly hack only for testing
-				Read();
-#endif
-			}
-		}
-	}
-
 	/// <summary>
 	/// Sigmas way of displaying strings. 
 	/// </summary>
@@ -151,7 +47,7 @@ public partial class SigmaTextBox
 		public string Text
 		{
 			get { return TextBox.Text; }
-			set { TextBox.Text = value; }
+			set { Dispatcher.Invoke(() => TextBox.Text = value); }
 		}
 
 		/// <summary>
@@ -181,7 +77,7 @@ public SigmaTextBox()
 		/// </summary>
 		public override void Read()
 		{
-			Text = SynchronisationHandler.SynchroniseGet<string>(Registry, Key);
+			SynchronisationHandler.SynchroniseUpdate(Registry, Key, Text, newVal => Text = newVal);
 		}
 
 		/// <summary>
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterView.xaml.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterView.xaml.cs
index 916478fd..d00adbcf 100644
--- a/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterView.xaml.cs
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterView.xaml.cs
@@ -68,14 +68,15 @@ public ParameterView(SigmaEnvironment environment, SigmaWindow window) : this(wi
 		/// <param name="type">The type that will be displayed.</param>
 		/// <param name="registry">The registry which contains the value that should be displayed.</param>
 		/// <param name="key">The key to access the exact value required.</param>
-		public void Add(string name, Type type, IRegistry registry, string key)
+		public IParameterVisualiser Add(string name, Type type, IRegistry registry, string key)
 		{
-			Add(new Label {Content = name}, type, registry, key);
+			return Add(new Label {Content = name}, type, registry, key);
 		}
 
-		public void Add(UIElement name, Type visualiserType, IRegistry registry, string key)
+		public IParameterVisualiser Add(UIElement name, Type visualiserType, IRegistry registry, string key)
 		{
-			UIElement displayer = (UIElement) Activator.CreateInstance(Manager.VisualiserType(visualiserType));
+			//UIElement displayer = (UIElement) Activator.CreateInstance(Manager.VisualiserType(visualiserType));
+			UIElement displayer = (UIElement) Manager.InstantiateVisualiser(visualiserType);
 			IParameterVisualiser visualiser = displayer as IParameterVisualiser;
 
 			if (visualiser == null)
@@ -84,6 +85,8 @@ public void Add(UIElement name, Type visualiserType, IRegistry registry, string
 			}
 
 			Add(name, displayer, visualiser, registry, key);
+
+			return visualiser;
 		}
 
 		public void Add(string name, object visualiserAndDisplayer, IRegistry registry, string key)
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterVisualiserAttribute.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterVisualiserAttribute.cs
index 5ab287e4..447caf94 100644
--- a/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterVisualiserAttribute.cs
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterVisualiserAttribute.cs
@@ -33,10 +33,33 @@ public class ParameterVisualiserAttribute : Attribute, IParameterVisualiserInfo
 		/// <summary>
 		/// Define that the class visualises given type. 
 		/// </summary>
-		/// <param name="type"></param>
+		/// <param name="type">The type that is being represented.</param>
 		public ParameterVisualiserAttribute(Type type)
 		{
 			Type = type;
 		}
+
+		/// <summary>
+		/// Determinse whether the given visualiser is generic or not.
+		/// </summary>
+		public bool IsGeneric { get; protected set; }
+	}
+
+	/// <summary>
+	/// This marks an <see cref="IParameterVisualiser"/>. It contains information which type this visualiser implements
+	/// and reduces the amount of work required to define a new type. Differently from <see cref="ParameterVisualiserAttribute"/>, the class implementing this
+	/// attribute has to be a generic class with a single attribute, which will be the given type.
+	/// Multiple attributes can be specified (to display <c>string</c>s and <c>object</c>s for example).
+	/// </summary>
+	public class GenericParameterVisualiserAttribute : ParameterVisualiserAttribute
+	{
+		/// <summary>
+		/// Define that the class visualises given type. 
+		/// </summary>
+		/// <param name="type">The type that is being represented.</param>
+		public GenericParameterVisualiserAttribute(Type type) : base(type)
+		{
+			IsGeneric = true;
+		}
 	}
 }
\ No newline at end of file
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterVisualiserInfo.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterVisualiserInfo.cs
index bcbccffc..fdfbb7e5 100644
--- a/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterVisualiserInfo.cs
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/ParameterVisualiserInfo.cs
@@ -18,25 +18,24 @@ namespace Sigma.Core.Monitors.WPF.View.Parameterisation
 	/// </summary>
 	public class ParameterVisualiserInfo : IParameterVisualiserInfo
 	{
-		/// <summary>
-		/// The type this visualiser visualises.
-		/// </summary>
+		/// <inheritdoc />
 		public Type Type { get; }
 
-		/// <summary>
-		/// The priority of the <see cref="IParameterVisualiserInfo"/>. If another priority with a lower priority has already been added, the
-		/// higher priority will override the settings. 
-		/// </summary>
+		/// <inheritdoc />
 		public VisualiserPriority Priority { get; set; }
 
+		/// <inheritdoc />
+		public bool IsGeneric { get; }
+
 		/// <summary>
 		/// Initializes a new instance of the <see cref="IParameterVisualiserInfo" /> class.
 		/// </summary>
 		/// <param name="type">The type the <see cref="IParameterVisualiser"/> is responsible for.</param>
 		/// <param name="priority">The priority of the info. (higher prioriuty overrides lower ones).</param>
+		/// <param name="isGeneric">Determinse whether the given visualiser is generic or not.</param>
 		/// <exception cref="InvalidEnumArgumentException">If bad enum is passed.</exception>
 		/// <exception cref="ArgumentNullException">If <see ref="type"/> is <c>null</c>.</exception>
-		public ParameterVisualiserInfo([NotNull] Type type, VisualiserPriority priority = VisualiserPriority.Normal)
+		public ParameterVisualiserInfo([NotNull] Type type, VisualiserPriority priority = VisualiserPriority.Normal, bool isGeneric = false)
 		{
 			if (type == null) throw new ArgumentNullException(nameof(type));
 			if (!Enum.IsDefined(typeof(VisualiserPriority), priority))
@@ -46,6 +45,9 @@ public ParameterVisualiserInfo([NotNull] Type type, VisualiserPriority priority
 
 			Type = type;
 			Priority = priority;
+			IsGeneric = isGeneric;
 		}
+
+		
 	}
 }
\ No newline at end of file
diff --git a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiserInfo.cs b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiserInfo.cs
index 9e82d5e6..5772bd64 100644
--- a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiserInfo.cs
+++ b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiserInfo.cs
@@ -49,6 +49,13 @@ public interface IParameterVisualiserInfo
 		/// </summary>
 		Type Type { get; }
 
+		/// <summary>
+		/// Determinse whether the given visualiser is generic or not.
+		/// 
+		/// More specifically, if the given visualiser should be passed the visualisation type as generic type or not.
+		/// </summary>
+		bool IsGeneric { get; }
+
 		/// <summary>
 		/// The priority of the <see cref="IParameterVisualiserInfo"/>. If another priority with a lower priority has already been added, the
 		/// higher priority will override the settings. 
diff --git a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiserManager.cs b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiserManager.cs
index e7b1dcde..9ed90060 100644
--- a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiserManager.cs
+++ b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/IParameterVisualiserManager.cs
@@ -49,5 +49,11 @@ public interface IParameterVisualiserManager
 		/// <returns>The closest type for visualisation. <c>null</c> if not found.</returns>
 		Type VisualiserTypeByReference([NotNull] object obj);
 
+		/// <summary>
+		/// Instantiate a visualiser that can represent given type.
+		/// </summary>
+		/// <param name="type">The type that will be visualies</param>
+		/// <returns>An instance of a visualiser.</returns>
+		IParameterVisualiser InstantiateVisualiser(Type type);
 	}
 }
\ No newline at end of file
diff --git a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/ParameterVisualiserManager.cs b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/ParameterVisualiserManager.cs
index 1a9a9145..c3936f22 100644
--- a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/ParameterVisualiserManager.cs
+++ b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/ParameterVisualiserManager.cs
@@ -40,11 +40,10 @@ public class ParameterVisualiserManager : IParameterVisualiserManager
 		/// </summary>
 		protected readonly Dictionary<Type, IParameterVisualiserInfo> AttributeMapping;
 
-
 		/// <summary>
 		/// The default constructor.
 		/// </summary>
-		/// <param name="autoAssign">If <c>true</c>, it will automatically add all classes marked with the attribute <see cref="ParameterVisualiserAttribute"/>.</param>
+		/// <param name="autoAssign">If <c>true</c>, it will automatically add all classes marked with the attribute <see cref="ParameterVisualiserAttribute"/> or <see cref="GenericParameterVisualiserAttribute"/>.</param>
 		public ParameterVisualiserManager(bool autoAssign = true)
 		{
 			TypeMapping = new Dictionary<Type, Type>();
@@ -53,25 +52,29 @@ public ParameterVisualiserManager(bool autoAssign = true)
 			if (autoAssign)
 			{
 				// ReSharper disable once VirtualMemberCallInConstructor
-				AssignMarkedClasses();
+				AssignMarkedClasses(typeof(ParameterVisualiserAttribute), typeof(GenericParameterVisualiserAttribute));
 			}
 		}
 
 		/// <summary>
-		/// Assign all classes that are marked with <see cref="ParameterVisualiserAttribute"/>. 
+		/// Assign all classes that are marked with the given attributes (marker attributes).
+		/// These attributes have to be an <see cref="IParameterVisualiserInfo"/>.
 		/// </summary>
-		protected virtual void AssignMarkedClasses()
+		protected virtual void AssignMarkedClasses(params Type[] markerTypes)
 		{
-			// get all classes that have the custom attribute
-			IEnumerable<Type> classes = AttributeUtils.GetTypesWithAttribute(typeof(ParameterVisualiserAttribute));
-
-			foreach (Type @class in classes)
+			foreach (Type type in markerTypes)
 			{
-				ParameterVisualiserAttribute[] visualisers = (ParameterVisualiserAttribute[])Attribute.GetCustomAttributes(@class, typeof(ParameterVisualiserAttribute));
+				// get all classes that have the custom attribute
+				IEnumerable<Type> classes = AttributeUtils.GetTypesWithAttribute(type);
 
-				foreach (ParameterVisualiserAttribute visualiser in visualisers)
+				foreach (Type @class in classes)
 				{
-					Add(@class, visualiser);
+					IParameterVisualiserInfo[] visualisers = (IParameterVisualiserInfo[]) Attribute.GetCustomAttributes(@class, type);
+
+					foreach (IParameterVisualiserInfo visualiser in visualisers)
+					{
+						Add(@class, visualiser);
+					}
 				}
 			}
 		}
@@ -190,5 +193,20 @@ public Type VisualiserTypeByReference(object obj)
 
 			return VisualiserType(obj.GetType());
 		}
+
+
+		/// <inheritdoc />
+		public IParameterVisualiser InstantiateVisualiser(Type type)
+		{
+			Type visualiserType = VisualiserType(type);
+			IParameterVisualiserInfo info = AttributeMapping[type];
+
+			if (info.IsGeneric)
+			{
+				return (IParameterVisualiser) Activator.CreateInstance(visualiserType.MakeGenericType(type));
+			}
+
+			return (IParameterVisualiser) Activator.CreateInstance(visualiserType);
+		}
 	}
 }
\ No newline at end of file
diff --git a/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs b/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
index 39ac56dc..e2d77c3f 100644
--- a/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
+++ b/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
@@ -122,10 +122,22 @@ public bool TryGet<T>(string key, out T val)
 			{
 				object oVal;
 
-				bool ret = values.TryGetValue(key, out oVal);
-				val = (T) oVal;
+				if (values.TryGetValue(key, out oVal))
+				{
+					if (oVal == null)
+					{
+						val = default(T);
+					}
+					else
+					{
+						val = (T) oVal;
+					}
+
+					return true;
+				}
 
-				return ret;
+				val = default(T);
+				return false;
 			}
 		}
 
diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index 4bfcb9b8..e315ed76 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -19,6 +19,7 @@
 using Sigma.Core.Monitors.WPF.Panels.Controls;
 using Sigma.Core.Monitors.WPF.Panels.Parameterisation;
 using Sigma.Core.Monitors.WPF.Utils;
+using Sigma.Core.Monitors.WPF.View.Parameterisation;
 using Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults;
 using Sigma.Core.Training;
 using Sigma.Core.Training.Hooks.Reporters;
@@ -30,6 +31,7 @@
 
 namespace Sigma.Tests.Internals.WPF
 {
+
 	internal class Program
 	{
 		private const bool UI = true;
@@ -89,9 +91,14 @@ private static void Main()
 					trainer.AddLocalHook(valueHook);
 					sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
 
-					var costBlock = new SigmaTimeBlock();
+					var costBlock = (UserControlParameterVisualiser) parameter.Content.Add("Cost", typeof(double), trainer.Operator.Registry, "optimiser.cost_total");
 					costBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
-					parameter.Content.Add(new Label { Content = "Cost" }, costBlock, trainer.Operator.Registry, "optimiser.cost_total");
+
+					var learningBlock = (UserControlParameterVisualiser) parameter.Content.Add("learning", typeof(double), trainer.Operator.Registry, "optimiser.learning_rate");
+					learningBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+
+					learningBlock = (UserControlParameterVisualiser) parameter.Content.Add("learning", typeof(double), trainer.Operator.Registry, "optimiser.learning_rate");
+					learningBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 
 					//var heeBlock = new SigmaTimeBlock();
 					//heeBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));

From 840874db81a89ba8ed44c8947173a4c87dae62e8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Fri, 14 Apr 2017 15:56:47 +0200
Subject: [PATCH 20/40] Fix logger naming (also during recovery in
 serialisation)

Fix logger naming (also during recovery in serialisation)
---
 Sigma.Core/Persistence/Serialisation.cs             | 2 +-
 Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs | 3 ++-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/Sigma.Core/Persistence/Serialisation.cs b/Sigma.Core/Persistence/Serialisation.cs
index 54c07db3..edf8c1d4 100644
--- a/Sigma.Core/Persistence/Serialisation.cs
+++ b/Sigma.Core/Persistence/Serialisation.cs
@@ -122,7 +122,7 @@ public static T Read<T>(Stream target, ISerialiser serialiser, bool verbose = tr
 				// automatically restore all logger instances
 				if (field.FieldType == typeof(ILog))
 				{
-					field.SetValue(parent, LogManager.GetLogger(parent.GetType()));
+					field.SetValue(parent, LogManager.GetLogger(Assembly.GetCallingAssembly(), parent.GetType().Namespace + "." + parent.GetType().Name));
 				}
 
 				(obj as ISerialisationNotifier)?.OnDeserialised();
diff --git a/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs b/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
index 654c945a..4a6d6b8a 100644
--- a/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
+++ b/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
@@ -7,6 +7,7 @@ For full license see LICENSE in the root directory of this project.
 */
 
 using System;
+using System.Reflection;
 using log4net;
 using Sigma.Core.Persistence;
 using Sigma.Core.Utils;
@@ -21,7 +22,7 @@ namespace Sigma.Core.Training.Hooks.Saviors
     public class DiskSaviorHook<T> : BaseHook
     {
         [NonSerialized]
-        private readonly ILog _logger = LogManager.GetLogger(System.Reflection.MethodBase.GetCurrentMethod().DeclaringType);
+        private readonly ILog _logger = LogManager.GetLogger(Assembly.GetCallingAssembly(), typeof(DiskSaviorHook<T>).Namespace + typeof(DiskSaviorHook<T>).Name);
 
         /// <summary>
         /// Create a savior hook that will automatically serialise a certain registry entry.

From 7aeba780a0a1162fc1fd6b87f517015542d88398 Mon Sep 17 00:00:00 2001
From: Michael Plainer <plainer@ymail.com>
Date: Fri, 14 Apr 2017 15:54:17 +0200
Subject: [PATCH 21/40] Fix logging error in ParameterVisualiserManager

---
 .../ParameterVisualiserManager.cs                | 16 ++++++++++------
 1 file changed, 10 insertions(+), 6 deletions(-)

diff --git a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/ParameterVisualiserManager.cs b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/ParameterVisualiserManager.cs
index c3936f22..13c55e57 100644
--- a/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/ParameterVisualiserManager.cs
+++ b/Sigma.Core.Monitors.WPF/ViewModel/Parameterisation/ParameterVisualiserManager.cs
@@ -111,15 +111,19 @@ public virtual bool Add(Type visualiserClass, IParameterVisualiserInfo parameter
 			// if the mapping has already been added 
 			if (TypeMapping.TryGetValue(parameterInfo.Type, out storedClass) && AttributeMapping.TryGetValue(parameterInfo.Type, out storedAttribte))
 			{
-				// if the new values have a lower priority, we return false
-				if (parameterInfo.Priority <= storedAttribte.Priority)
+				// if the a differnt type is being represented (necessarry for generics)
+				if (!ReferenceEquals(visualiserClass, storedClass))
 				{
-					_log.Warn($"{parameterInfo.Type} is currently visualised by {storedClass.Name}; {visualiserClass.Name} tried to be the visualiser but has a lower priority ({parameterInfo.Priority} <= {storedAttribte.Priority}).");
+					// if the new values have a lower priority, we return false
+					if (parameterInfo.Priority <= storedAttribte.Priority)
+					{
+						_log.Warn($"{parameterInfo.Type} is currently visualised by {storedClass.Name}; {visualiserClass.Name} tried to be the visualiser but has a lower priority ({parameterInfo.Priority} <= {storedAttribte.Priority}).");
 
-					return false;
-				}
+						return false;
+					}
 
-				_log.Debug($"{parameterInfo.Type} was visualised by {storedClass.Name}; {visualiserClass.Name} has a higher priority and is therefore the new visualiser ({parameterInfo.Priority} > {storedAttribte.Priority}).");
+					_log.Debug($"{parameterInfo.Type} was visualised by {storedClass.Name}; {visualiserClass.Name} has a higher priority and is therefore the new visualiser ({parameterInfo.Priority} > {storedAttribte.Priority}).");
+				}
 			}
 
 			TypeMapping[parameterInfo.Type] = visualiserClass;

From 875b671038464e71b0b443aa01bf51489ec2efc7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Sat, 15 Apr 2017 19:32:35 +0200
Subject: [PATCH 22/40] Add current time flag to value reporter hook

Add current time flag to value reporter hook
---
 .../Panels/Charts/TrainerChartPanel.cs        |  5 +++-
 .../Hooks/Reporters/ValueReporterHook.cs      | 28 +++++++++++-------
 .../Reporters/ValueSourceReporterHook.cs      |  5 +++-
 Sigma.Tests.Internals.Backend/Program.cs      | 29 ++++++++++---------
 4 files changed, 41 insertions(+), 26 deletions(-)

diff --git a/Sigma.Core.Monitors.WPF/Panels/Charts/TrainerChartPanel.cs b/Sigma.Core.Monitors.WPF/Panels/Charts/TrainerChartPanel.cs
index 333be572..5e8285a5 100644
--- a/Sigma.Core.Monitors.WPF/Panels/Charts/TrainerChartPanel.cs
+++ b/Sigma.Core.Monitors.WPF/Panels/Charts/TrainerChartPanel.cs
@@ -127,7 +127,10 @@ public VisualValueReporterHook(ChartPanel<TChart, TSeries, TChartValues, TData>
 			/// Report the values for a certain epoch / iteration to a passed ChartPanel. 
 			/// </summary>
 			/// <param name="valuesByIdentifier">The values by their identifier.</param>
-			protected override void ReportValues(IDictionary<string, object> valuesByIdentifier)
+			/// <param name="reportEpochIteration">A boolean indicating whether or not to report the current epoch / iteration.</param>
+			/// <param name="epoch">The current epoch.</param>
+			/// <param name="iteration">The current iteration.</param>
+			protected override void ReportValues(IDictionary<string, object> valuesByIdentifier, bool reportEpochIteration, int epoch, int iteration)
 			{
 				ChartPanel<TChart, TSeries, TChartValues, TData> chartPanel = (ChartPanel<TChart, TSeries, TChartValues, TData>) ParameterRegistry[ChartPanelIdentifier];
 				chartPanel.Add((TData) valuesByIdentifier.Values.First());
diff --git a/Sigma.Core/Training/Hooks/Reporters/ValueReporterHook.cs b/Sigma.Core/Training/Hooks/Reporters/ValueReporterHook.cs
index a532c516..829611ad 100644
--- a/Sigma.Core/Training/Hooks/Reporters/ValueReporterHook.cs
+++ b/Sigma.Core/Training/Hooks/Reporters/ValueReporterHook.cs
@@ -29,7 +29,8 @@ public class ValueReporterHook : BaseHook
 		/// </summary>
 		/// <param name="valueIdentifier">The value that will be fetched (i.e. registry identifier). E.g. <c>"optimiser.cost_total"</c></param>
 		/// <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
-		public ValueReporterHook(string valueIdentifier, ITimeStep timestep) : this(new[] { valueIdentifier }, timestep) { }
+		/// <param name="reportEpochIteration">Indicate whether or not to report the current epoch and iteration in addition to the values.</param>
+		public ValueReporterHook(string valueIdentifier, ITimeStep timestep, bool reportEpochIteration = false) : this(new[] { valueIdentifier }, timestep, reportEpochIteration) { }
 
 		/// <summary>
 		/// Create a hook that conditionally (extrema criteria) fetches a given value (i.e. registry identifier) at a given <see cref="ITimeStep"/>.
@@ -55,12 +56,13 @@ public ValueReporterHook(string valueIdentifier, ITimeStep timestep, double thre
 			On(new ThresholdCriteria(GetAccumulatedIdentifier(valueIdentifier), target, threshold, fireContinously));
 		}
 
-		/// <summary>
-		///	Create a hook that fetches a given amount of values (i.e. registry identifiers) at a given <see cref="ITimeStep"/>.
-		/// </summary>
-		/// <param name="valueIdentifiers">The values that will be fetched (i.e. registry identifiers). E.g. <c>"optimiser.cost_total"</c>, ...</param>
-		/// <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
-		public ValueReporterHook(string[] valueIdentifiers, ITimeStep timestep) : base(timestep, valueIdentifiers)
+		///  <summary>
+		/// 	Create a hook that fetches a given amount of values (i.e. registry identifiers) at a given <see cref="ITimeStep"/>.
+		///  </summary>
+		///  <param name="valueIdentifiers">The values that will be fetched (i.e. registry identifiers). E.g. <c>"optimiser.cost_total"</c>, ...</param>
+		///  <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
+		/// <param name="reportEpochIteration">Indicate whether or not to report the current epoch and iteration in addition to the values.</param>
+		public ValueReporterHook(string[] valueIdentifiers, ITimeStep timestep, bool reportEpochIteration = false) : base(timestep, valueIdentifiers)
 		{
 			if (valueIdentifiers.Length == 0) throw new ArgumentException("Value identifiers cannot be empty (it's the whole point of this hook).");
 
@@ -98,6 +100,7 @@ public ValueReporterHook(string[] valueIdentifiers, ITimeStep timestep) : base(t
 			ParameterRegistry["value_identifiers"] = valueIdentifiers;
 			ParameterRegistry["accumulated_identifiers"] = accumulatedIdentifiers;
 			ParameterRegistry["value_buffer"] = valueBuffer;
+			ParameterRegistry["report_epoch_iteration"] = reportEpochIteration;
 		}
 
 		private static string GetAccumulatedIdentifier(string value)
@@ -125,7 +128,7 @@ public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
 				valuesByIdentifier[valueIdentifiers[i]] = value;
 			}
 
-			ReportValues(valuesByIdentifier);
+			ReportValues(valuesByIdentifier, ParameterRegistry.Get<bool>("report_epoch_iteration"), registry.Get<int>("epoch"), registry.Get<int>("iteration"));
 		}
 
 		/// <summary>
@@ -133,9 +136,14 @@ public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
 		/// Note: By default, this method writes to the logger. If you want to report to anywhere else, overwrite this method.
 		/// </summary>
 		/// <param name="valuesByIdentifier">The values by their identifier.</param>
-		protected virtual void ReportValues(IDictionary<string, object> valuesByIdentifier)
+		/// <param name="reportEpochIteration">A boolean indicating whether or not to report the current epoch / iteration.</param>
+		/// <param name="epoch">The current epoch.</param>
+		/// <param name="iteration">The current iteration.</param>
+		protected virtual void ReportValues(IDictionary<string, object> valuesByIdentifier, bool reportEpochIteration, int epoch, int iteration)
 		{
-			_logger.Info(string.Join(", ", valuesByIdentifier.Select(pair => $"{pair.Key} = {pair.Value}")));
+			string formattedValues = string.Join(", ", valuesByIdentifier.Select(pair => $"{pair.Key} = {pair.Value}"));
+
+			_logger.Info((reportEpochIteration ? $"epoch {epoch} / iteration {iteration}: " : "") + formattedValues);
 		}
 	}
 }
diff --git a/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs b/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
index e2d77c3f..eb54038e 100644
--- a/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
+++ b/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
@@ -92,7 +92,10 @@ protected void Initialise(string[] valueIdentifiers)
 		/// Note: By default, this method writes to the logger. If you want to report to anywhere else, overwrite this method.
 		/// </summary>
 		/// <param name="valuesByIdentifier">The values by their identifier.</param>
-		protected override void ReportValues(IDictionary<string, object> valuesByIdentifier)
+		/// <param name="reportEpochIteration">A boolean indicating whether or not to report the current epoch / iteration.</param>
+		/// <param name="epoch">The current epoch.</param>
+		/// <param name="iteration">The current iteration.</param>
+		protected override void ReportValues(IDictionary<string, object> valuesByIdentifier, bool reportEpochIteration, int epoch, int iteration)
 		{
 			IDictionary<string, object> values = (IDictionary<string, object>) ParameterRegistry[ValueIdentifier];
 
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index b99d6756..726852f3 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -68,37 +68,38 @@ private static void SampleTrainerOperatorWorkerIris()
 
             trainer.Network = new Network();
             trainer.Network.Architecture = InputLayer.Construct(4)
+                                            + FullyConnectedLayer.Construct(24)
                                             + FullyConnectedLayer.Construct(12)
-                                            + FullyConnectedLayer.Construct(10)
                                             + FullyConnectedLayer.Construct(3)
                                             + OutputLayer.Construct(3)
                                             + SquaredDifferenceCostLayer.Construct();
-            trainer.Network = Serialisation.ReadFromBinaryFileIfExists<INetwork>("iris.sgnet", trainer.Network);
+            trainer.Network = Serialisation.ReadFromBinaryFileIfExists("iris.sgnet", trainer.Network);
 
             trainer.TrainingDataIterator = new MinibatchIterator(4, dataset);
             trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
-            trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.9);
-            trainer.Operator = new CpuMultithreadedOperator(workerCount: 2);
+            trainer.Optimiser = new AdagradOptimiser(0.01);
+            trainer.Operator = new CpuSinglethreadedOperator();
 
-            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.2));
-            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.1, mean: 0.0));
+            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.3));
+            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.1));
 
-            trainer.AddGlobalHook(new StopTrainingHook(atEpoch: 100));
+            //trainer.AddGlobalHook(new StopTrainingHook(atEpoch: 100));
             //trainer.AddLocalHook(new EarlyStopperHook("optimiser.cost_total", 20, target: ExtremaTarget.Min));
-            trainer.AddHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch)));
-            trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));
-            trainer.AddHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
-            trainer.AddLocalHook(new DiskSaviorHook<INetwork>("network.self", "iris.sgnet").On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
 
-            //trainer.AddGlobalHook(new CurrentEpochIterationReporter(TimeStep.Every(1, TimeScale.Epoch)));
+            trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch), reportEpochIteration: true)
+                .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
+            trainer.AddLocalHook(new DiskSaviorHook<INetwork>("network.self", "iris.sgnet", verbose: false)
+                .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
+
+            trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));
+            trainer.AddHook(new StopTrainingHook(new ThresholdCriteria("shared.validation_accuracy_top1", ComparisonTarget.GreaterThanEquals, 0.95)));
 
             Serialisation.WriteBinaryFile(trainer, "trainer.sgtrainer");
             trainer = Serialisation.ReadBinaryFile<ITrainer>("trainer.sgtrainer");
 
             sigma.AddTrainer(trainer);
 
-            //trainer.Operator.InvokeCommand(new TestCommand(() => { throw new NotImplementedException(); }, "optimiser.learning_rate"));
-            trainer.Operator.InvokeCommand(new SetValueCommand("optimiser.learning_rate", 0.02, () => {/* finished */}));
+            //trainer.Operator.InvokeCommand(new SetValueCommand("optimiser.learning_rate", 0.02, () => {/* finished */}));
 
             sigma.Run();
         }

From 7d6f6dfa648f06ce45eaacaf2c6dd276cdeb7824 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Sun, 16 Apr 2017 23:22:38 +0200
Subject: [PATCH 23/40] Add shuffle preprocessor, fix (partial) adadelta
 optimiser, improve documentation and sample

Add shuffle preprocessor, fix (partial) adadelta optimiser, improve
documentation and sample
---
 .../Adaptive/BaseAdaptivePreprocessor.cs      | 12 ++-
 .../Data/Preprocessors/ShufflePreprocessor.cs | 75 +++++++++++++++++++
 Sigma.Core/Persistence/Serialisation.cs       |  2 +-
 Sigma.Core/Sigma.Core.csproj                  |  1 +
 Sigma.Core/Training/ITrainer.cs               |  2 +-
 .../Gradient/Memory/AdadeltaOptimiser.cs      |  8 +-
 Sigma.Tests.Internals.Backend/Program.cs      | 60 ++++++++-------
 7 files changed, 127 insertions(+), 33 deletions(-)
 create mode 100644 Sigma.Core/Data/Preprocessors/ShufflePreprocessor.cs

diff --git a/Sigma.Core/Data/Preprocessors/Adaptive/BaseAdaptivePreprocessor.cs b/Sigma.Core/Data/Preprocessors/Adaptive/BaseAdaptivePreprocessor.cs
index f6b57adb..de71a009 100644
--- a/Sigma.Core/Data/Preprocessors/Adaptive/BaseAdaptivePreprocessor.cs
+++ b/Sigma.Core/Data/Preprocessors/Adaptive/BaseAdaptivePreprocessor.cs
@@ -28,12 +28,22 @@ public abstract class BaseAdaptivePreprocessor<TPreprocessor> : BasePreprocessor
         private readonly TPreprocessor _underlyingPreprocessor;
         private bool _initialAdaptionComplete;
 
+        /// <summary>
+        /// Create a base adaptive preprocessor with a certain underlying preprocessor (that will be adapted).
+        /// </summary>
+        /// <param name="underlyingPreprocessor">The underlying preprocessor.</param>
+        /// <param name="sectionNames">The section names to process in this preprocessor (all if null or empty).</param>
+        protected BaseAdaptivePreprocessor(TPreprocessor underlyingPreprocessor, params string[] sectionNames) : this(underlyingPreprocessor, AdaptionRate.Initial, sectionNames)
+        {
+        }
+
         /// <summary>
         /// Create a base adaptive preprocessor with a certain underlying preprocessor (that will be adapted).
         /// </summary>
         /// <param name="underlyingPreprocessor">The underlying preprocessor.</param>
         /// <param name="adaptionRate">The adaption rate.</param>
-        protected BaseAdaptivePreprocessor(TPreprocessor underlyingPreprocessor, AdaptionRate adaptionRate = AdaptionRate.Every)
+        /// <param name="sectionNames">The section names to process in this preprocessor (all if null or empty).</param>
+        protected BaseAdaptivePreprocessor(TPreprocessor underlyingPreprocessor, AdaptionRate adaptionRate, params string[] sectionNames) : base(sectionNames)
         {
             if (underlyingPreprocessor == null) throw new ArgumentNullException(nameof(underlyingPreprocessor));
             if (!Enum.IsDefined(typeof(AdaptionRate), adaptionRate)) throw new InvalidEnumArgumentException(nameof(adaptionRate), (int) adaptionRate, typeof(AdaptionRate));
diff --git a/Sigma.Core/Data/Preprocessors/ShufflePreprocessor.cs b/Sigma.Core/Data/Preprocessors/ShufflePreprocessor.cs
new file mode 100644
index 00000000..b2f84fbf
--- /dev/null
+++ b/Sigma.Core/Data/Preprocessors/ShufflePreprocessor.cs
@@ -0,0 +1,75 @@
+using System;
+using ManagedCuda.VectorTypes;
+using Sigma.Core.Handlers;
+using Sigma.Core.MathAbstract;
+
+namespace Sigma.Core.Data.Preprocessors
+{
+    [Serializable]
+    public class ShufflePreprocessor : BasePreprocessor
+    {
+        /// <summary>
+        /// The dimension along which should be shuffled.
+        /// Note: Must be >= 0.
+        /// </summary>
+        public int AlongDimension
+        {
+            get { return _alongDimension; }
+            set
+            {
+                if (value < 0) throw new ArgumentException($"Along dimension must be >= 0 but given value was {value}.");
+
+                _alongDimension = value;
+            }
+        }
+
+        /// <inheritdoc />
+        public override bool AffectsDataShape => false;
+
+        private Random _random;
+        private int _alongDimension;
+
+        /// <summary>
+        /// Create a shuffle preprocessor and optionally specify the dominant dimension (along which should be shuffled, batch dimension (0) by default).
+        /// </summary>
+        /// <param name="alongDimension"></param>
+        public ShufflePreprocessor(int alongDimension = 0)
+        {
+            AlongDimension = alongDimension;
+        }
+
+        /// <summary>
+        /// Process a certain ndarray with a certain computation handler.
+        /// </summary>
+        /// <param name="array">The ndarray to process.</param>
+        /// <param name="handler">The computation handler to do the processing with.</param>
+        /// <returns>An ndarray with the processed contents of the given array (can be the same or a new one).</returns>
+        internal override INDArray ProcessDirect(INDArray array, IComputationHandler handler)
+        {
+            int recordLength = (int) (array.Length / array.Shape[0]);
+            long[] firstBufferIndices = new long[array.Shape.Length];
+            long[] secondBufferIndices = new long[array.Shape.Length];
+
+            _random = new Random(31415926); // fixed rng for reproducability 
+
+            for (int i = 0; i < array.Shape[0]; i++)
+            {
+                int swapIndex = _random.Next((int) array.Shape[0]);
+
+                for (int y = 0; y < recordLength; y++)
+                {
+                    NDArrayUtils.GetIndices(recordLength * i + y, array.Shape, array.Strides, firstBufferIndices);
+                    NDArrayUtils.GetIndices(recordLength * swapIndex + y, array.Shape, array.Strides, secondBufferIndices);
+
+                    double firstValue = array.GetValue<double>(firstBufferIndices);
+                    double secondValue = array.GetValue<double>(secondBufferIndices);
+
+                    array.SetValue(secondValue, firstBufferIndices);
+                    array.SetValue(firstValue, secondBufferIndices);
+                }
+            }
+
+            return array;
+        }
+    }
+}
diff --git a/Sigma.Core/Persistence/Serialisation.cs b/Sigma.Core/Persistence/Serialisation.cs
index edf8c1d4..2740073a 100644
--- a/Sigma.Core/Persistence/Serialisation.cs
+++ b/Sigma.Core/Persistence/Serialisation.cs
@@ -143,7 +143,7 @@ public static T Read<T>(Stream target, ISerialiser serialiser, bool verbose = tr
 		/// <param name="verbose">Optionally indicate where the log messages should written to (verbose = Info, otherwise Debug).</param>
 		/// <param name="validationFunction">The optional validation function to validate the read object with (if false, the original value is returned).</param>
 		/// <returns>The read (i.e. existing) if successfully read and validated, otherwise the original value.</returns>
-		public static T ReadFromBinaryFileIfExists<T>(string fileName, T originalValue, bool verbose = true, Func<T, bool> validationFunction = null)
+		public static T ReadBinaryFileIfExists<T>(string fileName, T originalValue, bool verbose = true, Func<T, bool> validationFunction = null)
 		{
 			try
 			{
diff --git a/Sigma.Core/Sigma.Core.csproj b/Sigma.Core/Sigma.Core.csproj
index 6ca61e41..1b9bd438 100644
--- a/Sigma.Core/Sigma.Core.csproj
+++ b/Sigma.Core/Sigma.Core.csproj
@@ -160,6 +160,7 @@
     <Compile Include="Data\Preprocessors\NormalisingPreprocessor.cs" />
     <Compile Include="Data\Preprocessors\OneHotPreprocessor.cs" />
     <Compile Include="Data\Preprocessors\PerIndexNormalisingPreprocessor.cs" />
+    <Compile Include="Data\Preprocessors\ShufflePreprocessor.cs" />
     <Compile Include="Data\Readers\ByteRecordReader.cs" />
     <Compile Include="Data\Readers\CSVRecordReader.cs" />
     <Compile Include="Data\Readers\IRecordReader.cs" />
diff --git a/Sigma.Core/Training/ITrainer.cs b/Sigma.Core/Training/ITrainer.cs
index b0dfdcd6..1c762373 100644
--- a/Sigma.Core/Training/ITrainer.cs
+++ b/Sigma.Core/Training/ITrainer.cs
@@ -104,7 +104,7 @@ public interface ITrainer
 		bool ForceInitialisation { get; set; }
 
 		/// <summary>
-		/// Add an initialiser by registry resolve string (e.g. FC*.weights, *.weights, Layer1.biases, Layer2.*).
+		/// Add an initialiser by registry resolve string (e.g. fc*.weights, *.weights, layer1.biases, layer2.*).
 		/// Registry resolve notation may be used as the initialiser will be executed on all ndarrays which resolve to a match in a certain layer and match identifier. 
 		/// </summary>
 		/// <param name="identifier">The identifier (registry resolve string).</param>
diff --git a/Sigma.Core/Training/Optimisers/Gradient/Memory/AdadeltaOptimiser.cs b/Sigma.Core/Training/Optimisers/Gradient/Memory/AdadeltaOptimiser.cs
index 9783a10e..57b1c75f 100644
--- a/Sigma.Core/Training/Optimisers/Gradient/Memory/AdadeltaOptimiser.cs
+++ b/Sigma.Core/Training/Optimisers/Gradient/Memory/AdadeltaOptimiser.cs
@@ -46,8 +46,8 @@ protected override INDArray Optimise(string paramIdentifier, INDArray parameter,
             INDArray currentAccumulatedGradient = handler.Add(handler.Multiply(previousAccumulatedGradient, decayRate), currentGradientDecayed);
 
             // compute previous accumulated gradient root mean squared (rms) and previous accumulated update rms
-            INDArray previousUpdateRms = SquareRootSmoothed(previousAccumulatedUpdate, smoothing, handler);
-            INDArray gradientRms = SquareRootSmoothed(currentAccumulatedGradient, smoothing, handler);
+            INDArray previousUpdateRms = RootMeanSquaredSmoothed(previousAccumulatedUpdate, smoothing, handler);
+            INDArray gradientRms = RootMeanSquaredSmoothed(gradient, smoothing, handler);
 
             // compute parameter update using previous accumulated gradient / update rms
             INDArray update = handler.Multiply(handler.Multiply(handler.Divide(previousUpdateRms, gradientRms), gradient), -1.0);
@@ -64,9 +64,9 @@ protected override INDArray Optimise(string paramIdentifier, INDArray parameter,
             return handler.Add(parameter, update);
         }
 
-        private INDArray SquareRootSmoothed(INDArray array, double smoothing, IComputationHandler handler)
+        private INDArray RootMeanSquaredSmoothed(INDArray array, double smoothing, IComputationHandler handler)
         {
-            return handler.SquareRoot(handler.Add(array, smoothing));
+            return handler.SquareRoot(handler.Add(handler.Multiply(array, array), smoothing));
         }
 
         /// <inheritdoc />
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index 726852f3..f915f865 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -33,6 +33,7 @@
 using System.Linq;
 using System.Threading;
 using Sigma.Core.Training.Hooks.Saviors;
+using Sigma.Core.Training.Optimisers.Gradient;
 
 namespace Sigma.Tests.Internals.Backend
 {
@@ -45,22 +46,24 @@ private static void Main(string[] args)
             SigmaEnvironment.EnableLogging(xml: true);
             SigmaEnvironment.Globals["web_proxy"] = WebUtils.GetProxyFromFileOrDefault(".customproxy");
 
-            SampleTrainerOperatorWorkerIris();
+            SampleIris();
 
             Console.WriteLine("Program ended, waiting for termination, press any key...");
             Console.ReadKey();
         }
 
-        private static void SampleTrainerOperatorWorkerIris()
+        private static void SampleIris()
         {
             SigmaEnvironment sigma = SigmaEnvironment.Create("trainer_test");
+            sigma.SetRandomSeed(1337);
 
             sigma.Prepare();
 
             var irisReader = new CsvRecordReader(new MultiSource(new FileSource("iris.data"), new UrlSource("http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data")));
             IRecordExtractor irisExtractor = irisReader.Extractor("inputs", new[] { 0, 3 }, "targets", 4).AddValueMapping(4, "Iris-setosa", "Iris-versicolor", "Iris-virginica")
-                                                        .Preprocess(new OneHotPreprocessor(sectionName: "targets", minValue: 0, maxValue: 2))
-                                                        .Preprocess(new AdaptiveNormalisingPreprocessor(minOutputValue: 0.0, maxOutputValue: 1.0));
+                                                        .Preprocess(new OneHotPreprocessor("targets", minValue: 0, maxValue: 2))
+                                                        .Preprocess(new AdaptiveNormalisingPreprocessor(minOutputValue: 0.0, maxOutputValue: 1.0))
+                                                        .Preprocess(new ShufflePreprocessor());
 
             IDataset dataset = new Dataset("iris", Dataset.BlockSizeAuto, irisExtractor);
 
@@ -69,15 +72,15 @@ private static void SampleTrainerOperatorWorkerIris()
             trainer.Network = new Network();
             trainer.Network.Architecture = InputLayer.Construct(4)
                                             + FullyConnectedLayer.Construct(24)
-                                            + FullyConnectedLayer.Construct(12)
+                                            + FullyConnectedLayer.Construct(24)
                                             + FullyConnectedLayer.Construct(3)
                                             + OutputLayer.Construct(3)
-                                            + SquaredDifferenceCostLayer.Construct();
-            trainer.Network = Serialisation.ReadFromBinaryFileIfExists("iris.sgnet", trainer.Network);
+                                            + SoftMaxCrossEntropyCostLayer.Construct();
+            //trainer.Network = Serialisation.ReadBinaryFileIfExists("iris.sgnet", trainer.Network);
 
-            trainer.TrainingDataIterator = new MinibatchIterator(4, dataset);
+            trainer.TrainingDataIterator = new MinibatchIterator(25, dataset);
             trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
-            trainer.Optimiser = new AdagradOptimiser(0.01);
+            trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.92);
             trainer.Operator = new CpuSinglethreadedOperator();
 
             trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.3));
@@ -86,10 +89,10 @@ private static void SampleTrainerOperatorWorkerIris()
             //trainer.AddGlobalHook(new StopTrainingHook(atEpoch: 100));
             //trainer.AddLocalHook(new EarlyStopperHook("optimiser.cost_total", 20, target: ExtremaTarget.Min));
 
-            trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch), reportEpochIteration: true)
-                .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
-            trainer.AddLocalHook(new DiskSaviorHook<INetwork>("network.self", "iris.sgnet", verbose: false)
-                .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
+            trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch), reportEpochIteration: true));
+                //.On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
+            //trainer.AddLocalHook(new DiskSaviorHook<INetwork>("network.self", "iris.sgnet", verbose: true)
+            //    .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
 
             trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));
             trainer.AddHook(new StopTrainingHook(new ThresholdCriteria("shared.validation_accuracy_top1", ComparisonTarget.GreaterThanEquals, 0.95)));
@@ -125,7 +128,7 @@ public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
             }
         }
 
-        private static void SampleTrainerOperatorWorkerMnist()
+        private static void SampleMnist()
         {
             SigmaEnvironment sigma = SigmaEnvironment.Create("trainer_test");
 
@@ -142,23 +145,28 @@ private static void SampleTrainerOperatorWorkerMnist()
 
             trainer.Network = new Network();
             trainer.Network.Architecture = InputLayer.Construct(28, 28)
-                                            + 2 * FullyConnectedLayer.Construct(28 * 28)
+                                            + FullyConnectedLayer.Construct(28 * 28)
+                                            + FullyConnectedLayer.Construct(100)
                                             + FullyConnectedLayer.Construct(10)
                                             + OutputLayer.Construct(10)
-                                            + SquaredDifferenceCostLayer.Construct();
-            trainer.TrainingDataIterator = new MinibatchIterator(4, dataset);
+                                            + SoftMaxCrossEntropyCostLayer.Construct();
+            trainer.Network = Serialisation.ReadBinaryFileIfExists("mnist.sgnet", trainer.Network);
+            trainer.TrainingDataIterator = new MinibatchIterator(8, dataset);
             trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
-            trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.9);
-            trainer.Operator = new CpuMultithreadedOperator(workerCount: 2);
+            trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.92);
+            trainer.Operator = new CpuSinglethreadedOperator();
 
-            trainer.AddInitialiser("*.weights", new XavierInitialiser(scale: 5));
-            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01f, mean: 0.03f));
-            trainer.AddHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
+            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.02));
+            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01));
+
+            trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Iteration), reportEpochIteration: true)
+                .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
+            trainer.AddLocalHook(new DiskSaviorHook<INetwork>("network.self", "mnist.sgnet", verbose: false)
+                .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
 
-            trainer.AddHook(new RunningTimeReporter(TimeStep.Every(5, TimeScale.Iteration)));
-            trainer.AddGlobalHook(new CurrentEpochIterationReporter(TimeStep.Every(5, TimeScale.Iteration)));
-            trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(5, TimeScale.Iteration)));
-            trainer.AddGlobalHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: new[] { 1 }));
+            var validationTimeStep = TimeStep.Every(1, TimeScale.Epoch);
+            trainer.AddHook(new ValidationAccuracyReporter("validation", validationTimeStep, tops: 1));
+            trainer.AddHook(new StopTrainingHook(new ThresholdCriteria("shared.validation_accuracy_top1", ComparisonTarget.GreaterThanEquals, 0.5), validationTimeStep));
 
             sigma.Run();
         }

From 6e5303234b8e270592e02d0511e4eb1a90beae34 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Mon, 17 Apr 2017 23:11:16 +0200
Subject: [PATCH 24/40] Fix base gradient optimiser not clearing input / output
 traces, revert adadelta fix (was wrong)

Fix base gradient optimiser not clearing input / output traces, revert
adadelta fix (was wrong)
---
 Sigma.Core/Data/Datasets/Dataset.cs           | 12 ++++
 Sigma.Core/Persistence/Serialisation.cs       |  1 +
 Sigma.Core/Training/Operators/BaseOperator.cs |  1 +
 .../Gradient/BaseGradientOptimiser.cs         | 29 +++++++--
 .../Gradient/Memory/AdadeltaOptimiser.cs      |  8 +--
 .../Gradient/Memory/AdagradOptimiser.cs       |  4 +-
 Sigma.Tests.Internals.Backend/Program.cs      | 61 ++++++-------------
 7 files changed, 66 insertions(+), 50 deletions(-)

diff --git a/Sigma.Core/Data/Datasets/Dataset.cs b/Sigma.Core/Data/Datasets/Dataset.cs
index 936da151..ccd2a538 100644
--- a/Sigma.Core/Data/Datasets/Dataset.cs
+++ b/Sigma.Core/Data/Datasets/Dataset.cs
@@ -123,6 +123,18 @@ public Dataset(string name, params IRecordExtractor[] recordExtractors) : this(n
         /// <param name="blockSizeRecords">The target block size for records. May also be <see cref="BlockSizeAuto"/> or <see cref="BlockSizeAll"/>.</param>
         /// <param name="recordExtractors">The record extractors to fetch the data from, which provide the dataset with ready to use record blocks.</param>
         public Dataset(string name, int blockSizeRecords, params IRecordExtractor[] recordExtractors)
+            : this(name, blockSizeRecords, true, recordExtractors)
+        {
+        }
+
+        /// <summary>
+        /// Create a dataset with a certain unique name, target block size in records and the record extractors to use.
+        /// </summary>
+        /// <param name="name">The unique dataset name.</param>
+        /// <param name="blockSizeRecords">The target block size for records. May also be <see cref="BlockSizeAuto"/> or <see cref="BlockSizeAll"/>.</param>
+        /// <param name="flushCache">Indicate whether the cache provider should be flushed (cleared) before use. Only disable if block size and extractors used do not change (otherwise undefined behaviour).</param>
+        /// <param name="recordExtractors">The record extractors to fetch the data from, which provide the dataset with ready to use record blocks.</param>
+        public Dataset(string name, int blockSizeRecords, bool flushCache, params IRecordExtractor[] recordExtractors)
             : this(name, blockSizeRecords, new DiskCacheProvider(SigmaEnvironment.Globals.Get<string>("cache_path") + name), true, recordExtractors)
         {
         }
diff --git a/Sigma.Core/Persistence/Serialisation.cs b/Sigma.Core/Persistence/Serialisation.cs
index 2740073a..432c9430 100644
--- a/Sigma.Core/Persistence/Serialisation.cs
+++ b/Sigma.Core/Persistence/Serialisation.cs
@@ -175,6 +175,7 @@ public static T ReadBinaryFileIfExists<T>(string fileName, T originalValue, bool
 		internal static void TraverseObjectGraph(object root, ISet<object> traversedObjects, Action<object, FieldInfo, object> action)
 		{
 			Type type = root.GetType();
+
 			traversedObjects.Add(root);
 
 			// traverse all types up to object base type for all relevant fields in the graph
diff --git a/Sigma.Core/Training/Operators/BaseOperator.cs b/Sigma.Core/Training/Operators/BaseOperator.cs
index de19712c..515f09ae 100644
--- a/Sigma.Core/Training/Operators/BaseOperator.cs
+++ b/Sigma.Core/Training/Operators/BaseOperator.cs
@@ -1155,6 +1155,7 @@ protected void PopulateRegistry(IRegistry registry, INetwork localNetwork, IOpti
 			registry["trainer"] = Trainer.Registry;
 			registry["epoch"] = localEpochNumber;
 			registry["iteration"] = localIterationNumber;
+		    registry["runtime_millis"] = RunningTimeMilliseconds;
 
 			if (!registry.ContainsKey("shared") || !(registry["shared"] is IRegistry))
 			{
diff --git a/Sigma.Core/Training/Optimisers/Gradient/BaseGradientOptimiser.cs b/Sigma.Core/Training/Optimisers/Gradient/BaseGradientOptimiser.cs
index 2158a004..ebd3abe9 100644
--- a/Sigma.Core/Training/Optimisers/Gradient/BaseGradientOptimiser.cs
+++ b/Sigma.Core/Training/Optimisers/Gradient/BaseGradientOptimiser.cs
@@ -7,7 +7,8 @@ For full license see LICENSE in the root directory of this project.
 */
 
 using System;
-using log4net;
+using System.Collections.Generic;
+using System.Linq;
 using Sigma.Core.Architecture;
 using Sigma.Core.Handlers;
 using Sigma.Core.Layers;
@@ -33,8 +34,6 @@ public abstract class BaseGradientOptimiser : IOptimiser
 		/// </summary>
 		protected readonly string ExternalCostAlias;
 
-		[NonSerialized]
-		private readonly ILog _logger = LogManager.GetLogger(System.Reflection.MethodBase.GetCurrentMethod().DeclaringType);
 		private bool _prepared;
 		private uint _traceTag;
 
@@ -133,10 +132,32 @@ public void Run(INetwork network, IComputationHandler handler)
 
 					layerBuffer.Parameters[trainableParameter] = handler.ClearTrace(layerBuffer.Parameters.Get<ITraceable>(trainableParameter));
 				}
+
+				// outputs might have a trace as well, clear everything
+			    _InternalClearAllTraces(layerBuffer.Inputs, handler);
+			    _InternalClearAllTraces(layerBuffer.Outputs, handler);
 			}
 		}
 
-		/// <summary>
+	    private static void _InternalClearAllTraces(IReadOnlyDictionary<string, IRegistry> layerExternalBuffer, IComputationHandler handler)
+	    {
+	        foreach (string output in layerExternalBuffer.Keys.ToArray())
+	        {
+	            IRegistry registry = layerExternalBuffer[output];
+
+	            foreach (string parameter in registry.Keys.ToArray())
+	            {
+	                ITraceable traceable = registry[parameter] as ITraceable;
+
+	                if (traceable != null)
+	                {
+	                    registry[parameter] = handler.ClearTrace(traceable);
+	                }
+	            }
+	        }
+	    }
+
+	    /// <summary>
 		/// Get the total cost from a certain network using a certain computation handler and put the relevant information in the cost registry (total, partial, importances).
 		/// </summary>
 		/// <param name="network">The network to get the costs from.</param>
diff --git a/Sigma.Core/Training/Optimisers/Gradient/Memory/AdadeltaOptimiser.cs b/Sigma.Core/Training/Optimisers/Gradient/Memory/AdadeltaOptimiser.cs
index 57b1c75f..9783a10e 100644
--- a/Sigma.Core/Training/Optimisers/Gradient/Memory/AdadeltaOptimiser.cs
+++ b/Sigma.Core/Training/Optimisers/Gradient/Memory/AdadeltaOptimiser.cs
@@ -46,8 +46,8 @@ protected override INDArray Optimise(string paramIdentifier, INDArray parameter,
             INDArray currentAccumulatedGradient = handler.Add(handler.Multiply(previousAccumulatedGradient, decayRate), currentGradientDecayed);
 
             // compute previous accumulated gradient root mean squared (rms) and previous accumulated update rms
-            INDArray previousUpdateRms = RootMeanSquaredSmoothed(previousAccumulatedUpdate, smoothing, handler);
-            INDArray gradientRms = RootMeanSquaredSmoothed(gradient, smoothing, handler);
+            INDArray previousUpdateRms = SquareRootSmoothed(previousAccumulatedUpdate, smoothing, handler);
+            INDArray gradientRms = SquareRootSmoothed(currentAccumulatedGradient, smoothing, handler);
 
             // compute parameter update using previous accumulated gradient / update rms
             INDArray update = handler.Multiply(handler.Multiply(handler.Divide(previousUpdateRms, gradientRms), gradient), -1.0);
@@ -64,9 +64,9 @@ protected override INDArray Optimise(string paramIdentifier, INDArray parameter,
             return handler.Add(parameter, update);
         }
 
-        private INDArray RootMeanSquaredSmoothed(INDArray array, double smoothing, IComputationHandler handler)
+        private INDArray SquareRootSmoothed(INDArray array, double smoothing, IComputationHandler handler)
         {
-            return handler.SquareRoot(handler.Add(handler.Multiply(array, array), smoothing));
+            return handler.SquareRoot(handler.Add(array, smoothing));
         }
 
         /// <inheritdoc />
diff --git a/Sigma.Core/Training/Optimisers/Gradient/Memory/AdagradOptimiser.cs b/Sigma.Core/Training/Optimisers/Gradient/Memory/AdagradOptimiser.cs
index 28c8bd4b..15fa9169 100644
--- a/Sigma.Core/Training/Optimisers/Gradient/Memory/AdagradOptimiser.cs
+++ b/Sigma.Core/Training/Optimisers/Gradient/Memory/AdagradOptimiser.cs
@@ -48,7 +48,9 @@ protected override INDArray Optimise(string paramIdentifier, INDArray parameter,
 
 			INDArray adaptedLearningRate = handler.Divide(learningRate, handler.SquareRoot(handler.Add(squaredGradientSum, smoothing)));
 
-			return handler.Add(parameter, handler.Multiply(gradient, handler.Multiply(adaptedLearningRate, -1.0)));
+		    INDArray update = handler.Multiply(gradient, handler.Multiply(adaptedLearningRate, -1.0));
+
+		    return handler.Add(parameter, update);
 		}
 
 		/// <summary>
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index f915f865..cc68afd2 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -55,7 +55,7 @@ private static void Main(string[] args)
         private static void SampleIris()
         {
             SigmaEnvironment sigma = SigmaEnvironment.Create("trainer_test");
-            sigma.SetRandomSeed(1337);
+            sigma.SetRandomSeed(137);
 
             sigma.Prepare();
 
@@ -65,22 +65,22 @@ private static void SampleIris()
                                                         .Preprocess(new AdaptiveNormalisingPreprocessor(minOutputValue: 0.0, maxOutputValue: 1.0))
                                                         .Preprocess(new ShufflePreprocessor());
 
-            IDataset dataset = new Dataset("iris", Dataset.BlockSizeAuto, irisExtractor);
+            IDataset dataset = new Dataset("iris", Dataset.BlockSizeAuto, false, irisExtractor);
 
             ITrainer trainer = sigma.CreateGhostTrainer("test");
 
             trainer.Network = new Network();
             trainer.Network.Architecture = InputLayer.Construct(4)
-                                            + FullyConnectedLayer.Construct(24)
-                                            + FullyConnectedLayer.Construct(24)
+                                            + FullyConnectedLayer.Construct(4)
+                                            + 2 * FullyConnectedLayer.Construct(24)
                                             + FullyConnectedLayer.Construct(3)
                                             + OutputLayer.Construct(3)
                                             + SoftMaxCrossEntropyCostLayer.Construct();
             //trainer.Network = Serialisation.ReadBinaryFileIfExists("iris.sgnet", trainer.Network);
 
-            trainer.TrainingDataIterator = new MinibatchIterator(25, dataset);
+            trainer.TrainingDataIterator = new MinibatchIterator(10, dataset);
             trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
-            trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.92);
+            trainer.Optimiser = new AdagradOptimiser(baseLearningRate: 0.01);
             trainer.Operator = new CpuSinglethreadedOperator();
 
             trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.3));
@@ -90,9 +90,9 @@ private static void SampleIris()
             //trainer.AddLocalHook(new EarlyStopperHook("optimiser.cost_total", 20, target: ExtremaTarget.Min));
 
             trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch), reportEpochIteration: true));
-                //.On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
-            //trainer.AddLocalHook(new DiskSaviorHook<INetwork>("network.self", "iris.sgnet", verbose: true)
-            //    .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
+            //.On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
+            trainer.AddLocalHook(new DiskSaviorHook<INetwork>("network.self", "iris.sgnet", verbose: true)
+                .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
 
             trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));
             trainer.AddHook(new StopTrainingHook(new ThresholdCriteria("shared.validation_accuracy_top1", ComparisonTarget.GreaterThanEquals, 0.95)));
@@ -102,32 +102,9 @@ private static void SampleIris()
 
             sigma.AddTrainer(trainer);
 
-            //trainer.Operator.InvokeCommand(new SetValueCommand("optimiser.learning_rate", 0.02, () => {/* finished */}));
-
             sigma.Run();
         }
 
-        [Serializable]
-        private class TestCommand : BaseCommand
-        {
-            private readonly ILog _log = LogManager.GetLogger(typeof(TestCommand));
-            public TestCommand(Action onFinish = null, params string[] requiredRegistryEntries) : base(onFinish, requiredRegistryEntries)
-            {
-                _log.Info("Test command created");
-            }
-
-            /// <summary>
-            /// Invoke this hook with a certain parameter registry if optional conditional criteria are satisfied.
-            /// </summary>
-            /// <param name="registry">The registry containing the required values for this hook's execution.</param>
-            /// <param name="resolver">A helper resolver for complex registry entries (automatically cached).</param>
-            public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
-            {
-                _log.Info("Test command invoked");
-                //resolver.ResolveSet("optimiser.learning_rate", 10);
-            }
-        }
-
         private static void SampleMnist()
         {
             SigmaEnvironment sigma = SigmaEnvironment.Create("trainer_test");
@@ -140,33 +117,35 @@ private static void SampleMnist()
             ByteRecordReader mnistTargetReader = new ByteRecordReader(headerLengthBytes: 8, recordSizeBytes: 1, source: new CompressedSource(new MultiSource(new FileSource("train-labels-idx1-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"))));
             IRecordExtractor mnistTargetExtractor = mnistTargetReader.Extractor("targets", new[] { 0L }, new[] { 1L }).Preprocess(new OneHotPreprocessor(minValue: 0, maxValue: 9));
 
-            IDataset dataset = new Dataset("mnist-training", Dataset.BlockSizeAuto, mnistImageExtractor, mnistTargetExtractor);
+            IDataset dataset = new Dataset("mnist", Dataset.BlockSizeAuto, false, mnistImageExtractor, mnistTargetExtractor);
             ITrainer trainer = sigma.CreateTrainer("test");
 
             trainer.Network = new Network();
             trainer.Network.Architecture = InputLayer.Construct(28, 28)
                                             + FullyConnectedLayer.Construct(28 * 28)
-                                            + FullyConnectedLayer.Construct(100)
                                             + FullyConnectedLayer.Construct(10)
                                             + OutputLayer.Construct(10)
                                             + SoftMaxCrossEntropyCostLayer.Construct();
             trainer.Network = Serialisation.ReadBinaryFileIfExists("mnist.sgnet", trainer.Network);
-            trainer.TrainingDataIterator = new MinibatchIterator(8, dataset);
+            trainer.TrainingDataIterator = new MinibatchIterator(100, dataset);
             trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
-            trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.92);
+            trainer.Optimiser = new AdagradOptimiser(baseLearningRate: 0.01);
             trainer.Operator = new CpuSinglethreadedOperator();
 
-            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.02));
-            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01));
+            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.1));
+            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.05));
 
-            trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Iteration), reportEpochIteration: true)
-                .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
-            trainer.AddLocalHook(new DiskSaviorHook<INetwork>("network.self", "mnist.sgnet", verbose: false)
+            trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch), reportEpochIteration: true));
+            //trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Iteration), reportEpochIteration: true)
+            //    .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
+            trainer.AddLocalHook(new DiskSaviorHook<INetwork>("network.self", "mnist.sgnet", verbose: true)
                 .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
 
             var validationTimeStep = TimeStep.Every(1, TimeScale.Epoch);
+
             trainer.AddHook(new ValidationAccuracyReporter("validation", validationTimeStep, tops: 1));
             trainer.AddHook(new StopTrainingHook(new ThresholdCriteria("shared.validation_accuracy_top1", ComparisonTarget.GreaterThanEquals, 0.5), validationTimeStep));
+            trainer.AddHook(new StopTrainingHook(atEpoch: 500));
 
             sigma.Run();
         }

From 4e15adc4dab5b3f46d243e278ffe92c70cbbc38d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Mon, 17 Apr 2017 23:45:32 +0200
Subject: [PATCH 25/40] Add namers for static and dynamic naming

---
 Sigma.Core/Sigma.Core.csproj                  |   1 +
 .../Training/Hooks/Saviors/DiskSaviorHook.cs  |  41 +++--
 Sigma.Core/Utils/Namers.cs                    | 160 ++++++++++++++++++
 Sigma.Tests.Internals.Backend/Program.cs      |   2 +-
 4 files changed, 187 insertions(+), 17 deletions(-)
 create mode 100644 Sigma.Core/Utils/Namers.cs

diff --git a/Sigma.Core/Sigma.Core.csproj b/Sigma.Core/Sigma.Core.csproj
index 1b9bd438..4ca0f50d 100644
--- a/Sigma.Core/Sigma.Core.csproj
+++ b/Sigma.Core/Sigma.Core.csproj
@@ -294,6 +294,7 @@
     <Compile Include="Utils\IDeepCopyable.cs" />
     <Compile Include="Training\Hooks\IHook.cs" />
     <Compile Include="Utils\IEnumerableExtensions.cs" />
+    <Compile Include="Utils\Namers.cs" />
     <Compile Include="Utils\IRegistry.cs" />
     <Compile Include="Utils\IRegistryResolver.cs" />
     <Compile Include="Utils\ITaskObserver.cs" />
diff --git a/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs b/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
index 4a6d6b8a..2fafd58c 100644
--- a/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
+++ b/Sigma.Core/Training/Hooks/Saviors/DiskSaviorHook.cs
@@ -22,14 +22,14 @@ namespace Sigma.Core.Training.Hooks.Saviors
     public class DiskSaviorHook<T> : BaseHook
     {
         [NonSerialized]
-        private readonly ILog _logger = LogManager.GetLogger(Assembly.GetCallingAssembly(), typeof(DiskSaviorHook<T>).Namespace + typeof(DiskSaviorHook<T>).Name);
+        private readonly ILog _logger = LogManager.GetLogger(Assembly.GetCallingAssembly(), typeof(DiskSaviorHook<T>).Namespace + "." + typeof(DiskSaviorHook<T>).Name);
+
 
         /// <summary>
         /// Create a savior hook that will automatically serialise a certain registry entry.
         /// </summary>
-        /// <param name="timestep">The time step.</param>
         /// <param name="registryEntryToSave"></param>
-        /// <param name="fileName">The file name to store to disk as.</param>
+        /// <param name="fileName">The file namer to store to disk as.</param>
         /// <param name="verbose">Indicate whether or not to report when the specified object was serialised.</param>
         public DiskSaviorHook(string registryEntryToSave, string fileName, bool verbose = true) : this(Utils.TimeStep.Every(1, TimeScale.Iteration), registryEntryToSave, fileName, verbose)
         {
@@ -40,9 +40,19 @@ public DiskSaviorHook(string registryEntryToSave, string fileName, bool verbose
         /// </summary>
         /// <param name="timestep">The time step.</param>
         /// <param name="registryEntryToSave"></param>
-        /// <param name="fileName">The file name to store to disk as.</param>
+        /// <param name="fileName">The file namer to store to disk as.</param>
         /// <param name="verbose">Indicate whether or not to report when the specified object was serialised.</param>
-        public DiskSaviorHook(ITimeStep timestep, string registryEntryToSave, string fileName, bool verbose = true) : this(timestep, registryEntryToSave, fileName, o => o, verbose)
+        public DiskSaviorHook(ITimeStep timestep, string registryEntryToSave, string fileName, bool verbose = true) : this(timestep, registryEntryToSave, Namers.Static(fileName), verbose)
+        {
+        }
+
+        /// <summary>
+        /// Create a savior hook that will automatically serialise a certain registry entry.
+        /// </summary>
+        /// <param name="registryEntryToSave"></param>
+        /// <param name="fileNamer">The file namer to store to disk as.</param>
+        /// <param name="verbose">Indicate whether or not to report when the specified object was serialised.</param>
+        public DiskSaviorHook(string registryEntryToSave, INamer fileNamer, bool verbose = true) : this(Utils.TimeStep.Every(1, TimeScale.Iteration), registryEntryToSave, fileNamer, verbose)
         {
         }
 
@@ -51,10 +61,9 @@ public DiskSaviorHook(ITimeStep timestep, string registryEntryToSave, string fil
         /// </summary>
         /// <param name="timestep">The time step.</param>
         /// <param name="registryEntryToSave"></param>
-        /// <param name="fileName">The file name to store to disk as.</param>
-        /// <param name="selectFunction">The select function to apply.</param>
+        /// <param name="fileNamer">The file namer to store to disk as.</param>
         /// <param name="verbose">Indicate whether or not to report when the specified object was serialised.</param>
-        public DiskSaviorHook(string registryEntryToSave, string fileName, Func<T, T> selectFunction, bool verbose = true) : this(Utils.TimeStep.Every(1, TimeScale.Iteration), registryEntryToSave, fileName, selectFunction, verbose)
+        public DiskSaviorHook(ITimeStep timestep, string registryEntryToSave, INamer fileNamer, bool verbose = true) : this(timestep, registryEntryToSave, fileNamer, o => o, verbose)
         {
         }
 
@@ -63,17 +72,17 @@ public DiskSaviorHook(string registryEntryToSave, string fileName, Func<T, T> se
         /// </summary>
         /// <param name="timestep">The time step.</param>
         /// <param name="registryEntryToSave"></param>
-        /// <param name="fileName">The file name to store to disk as.</param>
+        /// <param name="fileNamer">The file namer to store to disk as.</param>
         /// <param name="selectFunction">The select function to apply.</param>
         /// <param name="verbose">Indicate whether or not to report when the specified object was serialised.</param>
-        public DiskSaviorHook(ITimeStep timestep, string registryEntryToSave, string fileName, Func<T, T> selectFunction, bool verbose = true) : base(timestep, registryEntryToSave)
+        public DiskSaviorHook(ITimeStep timestep, string registryEntryToSave, INamer fileNamer, Func<T, T> selectFunction, bool verbose = true) : base(timestep, registryEntryToSave)
         {
             if (registryEntryToSave == null) throw new ArgumentNullException(nameof(registryEntryToSave));
-            if (fileName == null) throw new ArgumentNullException(nameof(fileName));
+            if (fileNamer == null) throw new ArgumentNullException(nameof(fileNamer));
             if (selectFunction == null) throw new ArgumentNullException(nameof(selectFunction));
 
             ParameterRegistry["registry_entry_to_save"] = registryEntryToSave;
-            ParameterRegistry["file_name"] = fileName;
+            ParameterRegistry["file_namer"] = fileNamer;
             ParameterRegistry["select_function"] = selectFunction;
             ParameterRegistry["verbose"] = verbose;
 
@@ -88,21 +97,21 @@ public DiskSaviorHook(ITimeStep timestep, string registryEntryToSave, string fil
         public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
         {
             string registryEntryToSave = ParameterRegistry.Get<string>("registry_entry_to_save");
-            string fileName = ParameterRegistry.Get<string>("file_name");
+            INamer fileNamer = ParameterRegistry.Get<INamer>("file_namer");
             object toSerialise = resolver.ResolveGetSingle<object>(registryEntryToSave);
             bool verbose = ParameterRegistry.Get<bool>("verbose");
             Func<T, T> selectFunction = ParameterRegistry.Get<Func<T, T>>("select_function");
 
             toSerialise = selectFunction.Invoke((T) toSerialise);
 
-            lock (fileName)
+            lock (fileNamer)
             {
-                Serialisation.WriteBinaryFile(toSerialise, fileName, verbose: false);
+                Serialisation.WriteBinaryFile(toSerialise, fileNamer.GetName(registry, resolver, this), verbose: false);
             }
 
             if (verbose)
             {
-                _logger.Info($"Saved \"{registryEntryToSave}\" to \"{SigmaEnvironment.Globals.Get<string>("storage_path")}{fileName}\".");
+                _logger.Info($"Saved \"{registryEntryToSave}\" to \"{SigmaEnvironment.Globals.Get<string>("storage_path")}{fileNamer}\".");
             }
         }
     }
diff --git a/Sigma.Core/Utils/Namers.cs b/Sigma.Core/Utils/Namers.cs
new file mode 100644
index 00000000..f69e6ff7
--- /dev/null
+++ b/Sigma.Core/Utils/Namers.cs
@@ -0,0 +1,160 @@
+/* 
+MIT License
+
+Copyright (c) 2016-2017 Florian Cäsar, Michael Plainer
+
+For full license see LICENSE in the root directory of this project. 
+*/
+
+using System;
+
+namespace Sigma.Core.Utils
+{
+    /// <summary>
+    /// A common namer interface for static and dynamic naming of things. Any things.
+    /// </summary>
+    public interface INamer
+    {
+        /// <summary>
+        /// Get the name using a certain registry (and the corresponding resolver) for a certain sender.
+        /// Note: The sender may be used to get extra 
+        /// </summary>
+        /// <param name="registry">The parameter registry.</param>
+        /// <param name="resolver">The resolver to the parameter registry.</param>
+        /// <param name="sender">The sender of this naming request.</param>
+        /// <returns>The name using the givne information.</returns>
+        string GetName(IRegistry registry, IRegistryResolver resolver, object sender);
+    }
+
+    /// <summary>
+    /// A static namer using a ... static name.
+    /// </summary>
+    [Serializable]
+    public class StaticNamer : INamer
+    {
+        private readonly string _name;
+
+        /// <summary>
+        /// Create a static namer for a certain name.
+        /// </summary>
+        /// <param name="name">The name.</param>
+        public StaticNamer(string name)
+        {
+            if (name == null) throw new ArgumentNullException(nameof(name));
+
+            _name = name;
+        }
+
+        /// <inheritdoc />
+        public string GetName(IRegistry registry, IRegistryResolver resolver, object sender)
+        {
+            return _name;
+        }
+    }
+
+    /// <summary>
+    /// Create a dynamic namer using a certain lambda function for <see cref="INamer.GetName"/>.
+    /// </summary>
+    [Serializable]
+    public class DynamicLambdaNamer : INamer
+    {
+        private readonly Func<IRegistry, IRegistryResolver, object, string> _nameFunction;
+
+        /// <summary>
+        /// Create a dynamic namer using the lambda function <see cref="INamer.GetName"/>
+        /// </summary>
+        /// <param name="nameFunction">The name function</param>
+        public DynamicLambdaNamer(Func<IRegistry, IRegistryResolver, object, string> nameFunction)
+        {
+            if (nameFunction == null) throw new ArgumentNullException(nameof(nameFunction));
+
+            _nameFunction = nameFunction;
+        }
+
+        /// <inheritdoc />
+        public string GetName(IRegistry registry, IRegistryResolver resolver, object sender)
+        {
+            return _nameFunction.Invoke(registry, resolver, sender);
+        }
+    }
+
+    /// <summary>
+    /// An dynamic namer using individual parameters as items in a format string.
+    /// </summary>
+    [Serializable]
+    public class DynamicItemisedNamer : INamer
+    {
+        private readonly string _formatString;
+        private readonly string[] _parameterIdentifiers;
+        private readonly object[] _bufferParameters;
+
+        /// <summary>
+        /// Create a dynamic itemised namer using a format string and parameter identifiers (which will be resolved to the given values).
+        /// Note: Parameter order is preserved.
+        /// </summary>
+        /// <param name="formatString">The format string.</param>
+        /// <param name="parameterIdentifiers">The parameter identifiers.</param>
+        public DynamicItemisedNamer(string formatString, params string[] parameterIdentifiers)
+        {
+            if (formatString == null) throw new ArgumentNullException(nameof(formatString));
+            if (parameterIdentifiers == null) throw new ArgumentNullException(nameof(parameterIdentifiers));
+
+            _formatString = formatString;
+            _parameterIdentifiers = parameterIdentifiers; // not sure, maybe copy?
+            _bufferParameters = new object[parameterIdentifiers.Length];
+        }
+
+        /// <inheritdoc />
+        public string GetName(IRegistry registry, IRegistryResolver resolver, object sender)
+        {
+            for (int i = 0; i < _parameterIdentifiers.Length; i++)
+            {
+                _bufferParameters[i] = resolver.ResolveGetSingle<object>(_parameterIdentifiers[i]);
+            }
+
+            string name = string.Format(_formatString, _bufferParameters);
+
+            for (var i = 0; i < _bufferParameters.Length; i++)
+            {
+                _bufferParameters[i] = null;
+            }
+
+            return name;
+        }
+    }
+
+    /// <summary>
+    /// A utility collection for various static and dynamic namers.
+    /// </summary>
+    public static class Namers
+    {
+        /// <summary>
+        /// A static namer using a ... static name.
+        /// </summary>   
+        public static INamer Static(string name)
+        {
+            return new StaticNamer(name);
+        }
+
+        /// <summary>
+        /// Create a dynamic namer using the lambda function <see cref="INamer.GetName"/>
+        /// </summary>
+        /// <param name="nameFunction">The name function</param>
+        public static INamer Dynamic(Func<IRegistry, IRegistryResolver, object, string> nameFunction)
+        {
+            return new DynamicLambdaNamer(nameFunction);
+        }
+
+        /// <summary>
+        /// Create a dynamic itemised namer using a format string and parameter identifiers (which will be resolved to the given values).
+        /// Note: Parameter order is preserved.
+        /// </summary>
+        /// <param name="formatString">The format string.</param>
+        /// <param name="parameterIdentifiers">The parameter identifiers.</param>
+        // TODO fix this attr, for some reason can't be found [StringFormatMethod("formatString")]
+        public static INamer Dynamic(string formatString, params string[] parameterIdentifiers)
+        {
+            return new DynamicItemisedNamer(formatString, parameterIdentifiers);
+        }
+    }
+}
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index cc68afd2..50f2e221 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -91,7 +91,7 @@ private static void SampleIris()
 
             trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch), reportEpochIteration: true));
             //.On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
-            trainer.AddLocalHook(new DiskSaviorHook<INetwork>("network.self", "iris.sgnet", verbose: true)
+            trainer.AddLocalHook(new DiskSaviorHook<INetwork>("network.self", Namers.Dynamic("iris_epoch{0}.sgnet", "epoch"), verbose: true)
                 .On(new ExtremaCriteria("optimiser.cost_total", ExtremaTarget.Min)));
 
             trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));

From 95385724775e12323c6688fd483b3f9f261b57cb Mon Sep 17 00:00:00 2001
From: Michael Plainer <plainer@ymail.com>
Date: Tue, 18 Apr 2017 19:06:20 +0200
Subject: [PATCH 26/40] Add RunningTimeDisplayer

---
 .../Defaults/SigmaGenericBox.cs               |  7 +-
 .../Defaults/SigmaTextBlock.xaml.cs           | 29 +++++++-
 .../Defaults/SigmaTimeBlock.cs                |  7 ++
 .../ISynchronisationHandler.cs                |  7 ++
 .../Synchronisation/SynchronisationHandler.cs | 11 +++
 .../Reporters/ValueSourceReporterHook.cs      | 69 ++++++-------------
 Sigma.Tests.Internals.WPF/Program.cs          |  9 ++-
 7 files changed, 87 insertions(+), 52 deletions(-)

diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaGenericBox.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaGenericBox.cs
index b977c90d..652d696b 100644
--- a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaGenericBox.cs
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaGenericBox.cs
@@ -38,8 +38,11 @@ public SigmaGenericBox()
 		/// </summary>
 		public override void Read()
 		{
-			CurrentValue = SynchronisationHandler.SynchroniseGet<T>(Registry, Key);
-			Text = CurrentValue.ToString();
+			SynchronisationHandler.SynchroniseUpdate(Registry, Key, CurrentValue, val =>
+			{
+				CurrentValue = val;
+				Text = CurrentValue.ToString();
+			});
 		}
 
 		/// <summary>
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTextBlock.xaml.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTextBlock.xaml.cs
index ad2e62bc..a650317a 100644
--- a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTextBlock.xaml.cs
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTextBlock.xaml.cs
@@ -6,6 +6,8 @@ MIT License
 For full license see LICENSE in the root directory of this project. 
 */
 
+using System.Windows;
+using System.Windows.Controls;
 using Sigma.Core.Monitors.Synchronisation;
 using Sigma.Core.Monitors.WPF.ViewModel.Parameterisation;
 using Sigma.Core.Utils;
@@ -32,7 +34,8 @@ public virtual object Object
 			set
 			{
 				_Object = value;
-				TextBlock.Text = value?.ToString() ?? "null";
+				string text = value?.ToString() ?? "null";
+				TextBlock.Text = Prefix + text + Postfix;
 			}
 		}
 
@@ -41,6 +44,30 @@ public virtual object Object
 		/// </summary>
 		public string Text => TextBlock.Text;
 
+		/// <summary>
+		/// This string will be added before the displayed string.
+		/// </summary>
+		public string Prefix
+		{
+			get { return (string) GetValue(PrefixProperty); }
+			set { SetValue(PrefixProperty, value); }
+		}
+
+		public static readonly DependencyProperty PrefixProperty =
+			DependencyProperty.Register("Prefix", typeof(string), typeof(SigmaTextBox), new PropertyMetadata(""));
+
+		/// <summary>
+		/// This string will be added after the displayed string.
+		/// </summary>
+		public string Postfix
+		{
+			get { return (string) GetValue(PostfixProperty); }
+			set { SetValue(PostfixProperty, value); }
+		}
+
+		public static readonly DependencyProperty PostfixProperty =
+			DependencyProperty.Register("Postfix", typeof(string), typeof(SigmaTextBox), new PropertyMetadata(""));
+
 		/// <summary>
 		/// The fully resolved key to access the synchandler.
 		/// </summary>
diff --git a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTimeBlock.cs b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTimeBlock.cs
index 4391f8f4..b2ea855b 100644
--- a/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTimeBlock.cs
+++ b/Sigma.Core.Monitors.WPF/View/Parameterisation/Defaults/SigmaTimeBlock.cs
@@ -3,6 +3,13 @@
 
 namespace Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults
 {
+	//TODO: editable time box (timepicker)
+	//[ParameterVisualiser(typeof(DateTime), Priority = VisualiserPriority.Lower)]
+	//public class SigmaTimeBox : SigmaTextBox
+	//{
+		
+	//}
+
 	/// <summary>
 	/// A TimeBlock that allows to display the current time. 
 	/// </summary>
diff --git a/Sigma.Core/Monitors/Synchronisation/ISynchronisationHandler.cs b/Sigma.Core/Monitors/Synchronisation/ISynchronisationHandler.cs
index de410f45..92e6ba1c 100644
--- a/Sigma.Core/Monitors/Synchronisation/ISynchronisationHandler.cs
+++ b/Sigma.Core/Monitors/Synchronisation/ISynchronisationHandler.cs
@@ -34,6 +34,13 @@ public interface ISynchronisationHandler
 		/// <returns><c>True</c> if teh source could be removed, <c>false</c> otherwise.</returns>
 		bool RemoveSynchronisationSource(ISynchronisationSource source);
 
+		/// <summary>
+		/// Check if a source is contained.
+		/// </summary>
+		/// <param name="source">The source that will be checked.</param>
+		/// <returns><c>True</c>, if the handler contains the source - <c>false</c> otherwise</returns>
+		bool ContainsSynchronisationSoruce(ISynchronisationSource source);
+
 		/// <summary>
 		/// Indicate that a value has changed and synchronise it with the given <see cref="SigmaEnvironment"/>.
 		/// 
diff --git a/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs b/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
index 5d39db3e..e407e57a 100644
--- a/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
+++ b/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
@@ -63,6 +63,17 @@ public bool RemoveSynchronisationSource(ISynchronisationSource source)
 			return Sources.Remove(source);
 		}
 
+
+		/// <summary>
+		/// Check if a source is contained.
+		/// </summary>
+		/// <param name="source">The source that will be checked.</param>
+		/// <returns><c>True</c>, if the handler contains the source - <c>false</c> otherwise</returns>
+		public bool ContainsSynchronisationSoruce(ISynchronisationSource source)
+		{
+			return Sources.Contains(source);
+		}
+
 		/// <inheritdoc />
 		public virtual void SynchroniseSet<T>(IRegistry registry, string key, T val, Action<T> onSuccess = null, Action<Exception> onError = null)
 		{
diff --git a/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs b/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
index eb54038e..e004484a 100644
--- a/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
+++ b/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
@@ -7,7 +7,7 @@ namespace Sigma.Core.Training.Hooks.Reporters
 	/// <summary>
 	/// A hook that stores given values and can provide them to a <see cref="ISynchronisationHandler"/> as a source.
 	/// </summary>
-	public class ValueSourceReporterHook : ValueReporterHook, ISynchronisationSource
+	public class ValueSourceReporterHook : BaseHook, ISynchronisationSource
 	{
 		private const string ValueIdentifier = "values";
 		//private readonly IDictionary<string, object> _values = new Dictionary<string, object>();
@@ -17,41 +17,18 @@ public class ValueSourceReporterHook : ValueReporterHook, ISynchronisationSource
 		/// </summary>
 		/// <param name="valueIdentifier">The value that will be fetched (i.e. registry identifier). E.g. <c>"optimiser.cost_total"</c></param>
 		/// <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
-		public ValueSourceReporterHook(string valueIdentifier, ITimeStep timestep) : base(valueIdentifier, timestep)
+		public ValueSourceReporterHook(TimeStep timestep, string valueIdentifier) : base(timestep, valueIdentifier)
 		{
 			Initialise(valueIdentifier);
 		}
 
-		/// <summary>
-		/// Create a hook that conditionally (extrema criteria) fetches a given value (i.e. registry identifier) at a given <see cref="ITimeStep"/>.
-		/// </summary>
-		/// <param name="valueIdentifier">The value that will be fetched (i.e. registry identifier). E.g. <c>"optimiser.cost_total"</c></param>
-		/// <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
-		/// <param name="target">The extrema criteria target.</param>
-		public ValueSourceReporterHook(string valueIdentifier, ITimeStep timestep, ExtremaTarget target) : base(valueIdentifier, timestep, target)
-		{
-			Initialise(valueIdentifier);
-		}
-
-		/// <summary>
-		/// Create a hook that conditionally (threshold criteria) fetches a given value (i.e. registry identifier) at a given <see cref="ITimeStep"/>.
-		/// </summary>
-		/// <param name="valueIdentifier">The value that will be fetched (i.e. registry identifier). E.g. <c>"optimiser.cost_total"</c></param>
-		/// <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
-		/// <param name="threshold">The threshold to compare against.</param>
-		/// <param name="target">The threshold criteria comparison target.</param>
-		/// <param name="fireContinously">If the value should be reported every time step the criteria is satisfied (or just once).</param>
-		public ValueSourceReporterHook(string valueIdentifier, ITimeStep timestep, double threshold, ComparisonTarget target, bool fireContinously = true) : base(valueIdentifier, timestep, threshold, target, fireContinously)
-		{
-			Initialise(valueIdentifier);
-		}
 
 		/// <summary>
 		///	Create a hook that fetches a given amount of values (i.e. registry identifiers) at a given <see cref="ITimeStep"/>.
 		/// </summary>
 		/// <param name="valueIdentifiers">The values that will be fetched (i.e. registry identifiers). E.g. <c>"optimiser.cost_total"</c>, ...</param>
 		/// <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
-		public ValueSourceReporterHook(string[] valueIdentifiers, ITimeStep timestep) : base(valueIdentifiers, timestep)
+		public ValueSourceReporterHook(ITimeStep timestep, params  string[] valueIdentifiers) : base(timestep, valueIdentifiers)
 		{
 			Initialise(valueIdentifiers);
 		}
@@ -87,27 +64,6 @@ protected void Initialise(string[] valueIdentifiers)
 			}
 		}
 
-		/// <summary>
-		/// Report the values for a certain epoch / iteration.
-		/// Note: By default, this method writes to the logger. If you want to report to anywhere else, overwrite this method.
-		/// </summary>
-		/// <param name="valuesByIdentifier">The values by their identifier.</param>
-		/// <param name="reportEpochIteration">A boolean indicating whether or not to report the current epoch / iteration.</param>
-		/// <param name="epoch">The current epoch.</param>
-		/// <param name="iteration">The current iteration.</param>
-		protected override void ReportValues(IDictionary<string, object> valuesByIdentifier, bool reportEpochIteration, int epoch, int iteration)
-		{
-			IDictionary<string, object> values = (IDictionary<string, object>) ParameterRegistry[ValueIdentifier];
-
-			//TODO: validate lock requirement, probably it is required
-			lock (values)
-			{
-				foreach (KeyValuePair<string, object> valuePair in valuesByIdentifier)
-				{
-					values[valuePair.Key] = valuePair.Value;
-				}
-			}
-		}
 
 		/// <summary>
 		/// Try to retrieve a value from this source (if existent).
@@ -156,5 +112,24 @@ public bool TrySet<T>(string key, T val)
 			// a set is not supported
 			return false;
 		}
+
+		/// <summary>
+		/// Invoke this hook with a certain parameter registry if optional conditional criteria are satisfied.
+		/// </summary>
+		/// <param name="registry">The registry containing the required values for this hook's execution.</param>
+		/// <param name="resolver">A helper resolver for complex registry entries (automatically cached).</param>
+		public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
+		{
+			IDictionary<string, object> values = (IDictionary<string, object>) ParameterRegistry[ValueIdentifier];
+
+			//TODO: validate lock requirement, probably it is required
+			lock (values)
+			{
+				foreach (KeyValuePair<string, object> valuePair in registry)
+				{
+					values[valuePair.Key] = valuePair.Value;
+				}
+			}
+		}
 	}
 }
\ No newline at end of file
diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index e315ed76..5f686ba9 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -1,5 +1,4 @@
 using System;
-using System.Windows.Controls;
 using LiveCharts.Wpf;
 using Sigma.Core;
 using Sigma.Core.Architecture;
@@ -87,7 +86,7 @@ private static void Main()
 					var parameter = new ParameterPanel("Parameters", sigma, window);
 					parameter.Add("Time", typeof(DateTime), regTest, "test");
 
-					ValueSourceReporterHook valueHook = new ValueSourceReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch));
+					ValueSourceReporterHook valueHook = new ValueSourceReporterHook( TimeStep.Every(1, TimeScale.Epoch), "optimiser.cost_total", "runtime_millis");
 					trainer.AddLocalHook(valueHook);
 					sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
 
@@ -100,6 +99,12 @@ private static void Main()
 					learningBlock = (UserControlParameterVisualiser) parameter.Content.Add("learning", typeof(double), trainer.Operator.Registry, "optimiser.learning_rate");
 					learningBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 
+					var timeBox = (SigmaTextBlock) parameter.Content.Add("Running time", typeof(object), trainer.Operator.Registry, "runtime_millis");
+					timeBox.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+					timeBox.Postfix = " ms";
+
+					//trainer.AddGlobalHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
+
 					//var heeBlock = new SigmaTimeBlock();
 					//heeBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 					//parameter.Content.Add(new Label { Content = "Cost" }, heeBlock, null, "optimiser.cost_total");

From 75c6166fd334c0aac9183d2e2146034a37689227 Mon Sep 17 00:00:00 2001
From: Michael Plainer <plainer@ymail.com>
Date: Tue, 18 Apr 2017 20:50:01 +0200
Subject: [PATCH 27/40] Add current epoch and iteration

---
 Sigma.Tests.Internals.WPF/Program.cs | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index 5f686ba9..235dfd37 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -86,7 +86,11 @@ private static void Main()
 					var parameter = new ParameterPanel("Parameters", sigma, window);
 					parameter.Add("Time", typeof(DateTime), regTest, "test");
 
-					ValueSourceReporterHook valueHook = new ValueSourceReporterHook( TimeStep.Every(1, TimeScale.Epoch), "optimiser.cost_total", "runtime_millis");
+					ValueSourceReporterHook valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Epoch), "optimiser.cost_total", "runtime_millis");
+					trainer.AddGlobalHook(valueHook);
+					sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
+
+					valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Iteration), "iteration");
 					trainer.AddLocalHook(valueHook);
 					sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
 
@@ -103,6 +107,12 @@ private static void Main()
 					timeBox.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 					timeBox.Postfix = " ms";
 
+					var epochBox = (UserControlParameterVisualiser) parameter.Content.Add("Current epoch", typeof(object), trainer.Operator.Registry, "epoch");
+					epochBox.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+
+					var iterationBox = (UserControlParameterVisualiser) parameter.Content.Add("Current iteration", typeof(object), trainer.Operator.Registry, "iteration");
+					iterationBox.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Iteration));
+
 					//trainer.AddGlobalHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
 
 					//var heeBlock = new SigmaTimeBlock();

From 66f043a421f54b807ca3ae4ef2c018edf60d1036 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Tue, 18 Apr 2017 21:21:54 +0200
Subject: [PATCH 28/40] Add metric processor hook, add exposed parameter
 updates in gradient optimisers

Add metric processor hook, add exposed parameter updates in gradient
optimisers
---
 Sigma.Core/Sigma.Core.csproj                  |  1 +
 .../Hooks/Processors/MetricProcessorHook.cs   | 85 +++++++++++++++++++
 .../Gradient/BaseGradientOptimiser.cs         | 56 +++++++-----
 .../Gradient/GradientDescentOptimiser.cs      |  6 +-
 .../Gradient/Memory/AdadeltaOptimiser.cs      |  2 +
 .../Gradient/Memory/AdagradOptimiser.cs       |  6 +-
 .../Memory/MomentumGradientOptimiser.cs       |  6 +-
 Sigma.Tests.Internals.Backend/Program.cs      |  1 +
 8 files changed, 138 insertions(+), 25 deletions(-)
 create mode 100644 Sigma.Core/Training/Hooks/Processors/MetricProcessorHook.cs

diff --git a/Sigma.Core/Sigma.Core.csproj b/Sigma.Core/Sigma.Core.csproj
index 4ca0f50d..a14fab03 100644
--- a/Sigma.Core/Sigma.Core.csproj
+++ b/Sigma.Core/Sigma.Core.csproj
@@ -234,6 +234,7 @@
     <Compile Include="Persistence\Serialiser.cs" />
     <Compile Include="Sigma.cs" />
     <Compile Include="Properties\AssemblyInfo.cs" />
+    <Compile Include="Training\Hooks\Processors\MetricProcessorHook.cs" />
     <Compile Include="Training\Hooks\Processors\NumberAccumulatorHook.cs" />
     <Compile Include="Training\Hooks\BaseHook.cs" />
     <Compile Include="Training\Hooks\IllegalHookDependencyException.cs" />
diff --git a/Sigma.Core/Training/Hooks/Processors/MetricProcessorHook.cs b/Sigma.Core/Training/Hooks/Processors/MetricProcessorHook.cs
new file mode 100644
index 00000000..c24f3f91
--- /dev/null
+++ b/Sigma.Core/Training/Hooks/Processors/MetricProcessorHook.cs
@@ -0,0 +1,85 @@
+/* 
+MIT License
+
+Copyright (c) 2016-2017 Florian Cäsar, Michael Plainer
+
+For full license see LICENSE in the root directory of this project. 
+*/
+
+using System;
+using System.Collections.Generic;
+using Sigma.Core.Handlers;
+using Sigma.Core.MathAbstract;
+using Sigma.Core.Utils;
+
+namespace Sigma.Core.Training.Hooks.Processors
+{
+    [Serializable]
+    public class MetricProcessorHook<T> : BaseHook where T : class
+    {
+        public MetricProcessorHook(string registryEntryToProcess, Func<T, IComputationHandler, INumber> metricFunction, string metricSharedResultEntry) : this(Utils.TimeStep.Every(1, TimeScale.Iteration), registryEntryToProcess, metricFunction, metricSharedResultEntry)
+        {
+        }
+
+        public MetricProcessorHook(ITimeStep timestep, string registryEntryToProcess, Func<T, IComputationHandler, INumber> metricFunction, string metricSharedResultIdentifier) : base(timestep, registryEntryToProcess)
+        {
+            if (registryEntryToProcess == null) throw new ArgumentNullException(nameof(registryEntryToProcess));
+            if (metricFunction == null) throw new ArgumentNullException(nameof(metricFunction));
+            if (metricSharedResultIdentifier == null) throw new ArgumentNullException(nameof(metricSharedResultIdentifier));
+
+            InvokePriority = -1000;
+            ParameterRegistry["registry_entry_to_process"] = registryEntryToProcess;
+            ParameterRegistry["metric_function"] = metricFunction;
+            ParameterRegistry["metric_shared_result_identifier"] = metricSharedResultIdentifier;
+        }
+
+        /// <inheritdoc />
+        public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
+        {
+            IComputationHandler handler = Operator.Handler;
+
+            string registryEntryToProcess = ParameterRegistry.Get<string>("registry_entry_to_process");
+            Func<T, IComputationHandler, INumber> metricFunction = ParameterRegistry.Get<Func<T, IComputationHandler, INumber>>("metric_function");
+            string metricSharedResultIdentifier = ParameterRegistry.Get<string>("metric_shared_result_identifier");
+
+            object[] entries = resolver.ResolveGet<object>(registryEntryToProcess);
+
+            double totalMetric = 0.0;
+            int count = 0;
+
+            foreach (object entry in entries)
+            {
+                T entryAsT = entry as T;
+                IEnumerable<T> entryAsEnumerable = entry as IEnumerable<T>;
+                IDictionary<string, T> entryAsDictionary = entry as IDictionary<string, T>;
+
+                if (entryAsDictionary != null)
+                {
+                    entryAsEnumerable = entryAsDictionary.Values;
+                }
+
+                if (entryAsT != null)
+                {
+                    totalMetric += metricFunction.Invoke(entryAsT, handler).GetValueAs<double>();
+                    count++;
+                }
+                else if (entryAsEnumerable != null)
+                {
+                    foreach (T value in entryAsEnumerable)
+                    {
+                        totalMetric += metricFunction.Invoke(value, handler).GetValueAs<double>();
+                        count++;
+                    }
+                }
+                else
+                {
+                    throw new InvalidOperationException($"Cannot process metric for entry of type {entry.GetType()} with identifier \"{registryEntryToProcess}\", must be {typeof(T)} or enumerable thereof.");
+                }
+            }
+
+            double resultMetric = totalMetric / count;
+
+            resolver.ResolveSet(metricSharedResultIdentifier, resultMetric, addIdentifierIfNotExists: true);
+        }
+    }
+}
diff --git a/Sigma.Core/Training/Optimisers/Gradient/BaseGradientOptimiser.cs b/Sigma.Core/Training/Optimisers/Gradient/BaseGradientOptimiser.cs
index ebd3abe9..9dc0a2cb 100644
--- a/Sigma.Core/Training/Optimisers/Gradient/BaseGradientOptimiser.cs
+++ b/Sigma.Core/Training/Optimisers/Gradient/BaseGradientOptimiser.cs
@@ -47,6 +47,7 @@ protected BaseGradientOptimiser(string externalCostAlias = "external_cost")
 
 			ExternalCostAlias = externalCostAlias;
 			Registry = new Registry(tags: "optimiser");
+			Registry["updates"] = new Dictionary<string, INDArray>();
 		}
 
 		/// <summary>
@@ -134,30 +135,43 @@ public void Run(INetwork network, IComputationHandler handler)
 				}
 
 				// outputs might have a trace as well, clear everything
-			    _InternalClearAllTraces(layerBuffer.Inputs, handler);
-			    _InternalClearAllTraces(layerBuffer.Outputs, handler);
+				_InternalClearAllTraces(layerBuffer.Inputs, handler);
+				_InternalClearAllTraces(layerBuffer.Outputs, handler);
 			}
 		}
 
-	    private static void _InternalClearAllTraces(IReadOnlyDictionary<string, IRegistry> layerExternalBuffer, IComputationHandler handler)
-	    {
-	        foreach (string output in layerExternalBuffer.Keys.ToArray())
-	        {
-	            IRegistry registry = layerExternalBuffer[output];
-
-	            foreach (string parameter in registry.Keys.ToArray())
-	            {
-	                ITraceable traceable = registry[parameter] as ITraceable;
-
-	                if (traceable != null)
-	                {
-	                    registry[parameter] = handler.ClearTrace(traceable);
-	                }
-	            }
-	        }
-	    }
-
-	    /// <summary>
+		private static void _InternalClearAllTraces(IReadOnlyDictionary<string, IRegistry> layerExternalBuffer, IComputationHandler handler)
+		{
+			foreach (string output in layerExternalBuffer.Keys.ToArray())
+			{
+				IRegistry registry = layerExternalBuffer[output];
+
+				foreach (string parameter in registry.Keys.ToArray())
+				{
+					ITraceable traceable = registry[parameter] as ITraceable;
+
+					if (traceable != null)
+					{
+						registry[parameter] = handler.ClearTrace(traceable);
+					}
+				}
+			}
+		}
+
+		/// <summary>
+		/// Expose a parameter update to the outside through the gradient optimiser utilities.
+		/// </summary>
+		/// <param name="parameterIdentifier">The parameter identifier.</param>
+		/// <param name="update">The update.</param>
+		protected void ExposeParameterUpdate(string parameterIdentifier, INDArray update)
+		{
+			if (parameterIdentifier == null) throw new ArgumentNullException(nameof(parameterIdentifier));
+			if (update == null) throw new ArgumentNullException(nameof(update));
+
+			Registry.Get<IDictionary<string, INDArray>>("updates")[parameterIdentifier] = update;
+		}
+
+		/// <summary>
 		/// Get the total cost from a certain network using a certain computation handler and put the relevant information in the cost registry (total, partial, importances).
 		/// </summary>
 		/// <param name="network">The network to get the costs from.</param>
diff --git a/Sigma.Core/Training/Optimisers/Gradient/GradientDescentOptimiser.cs b/Sigma.Core/Training/Optimisers/Gradient/GradientDescentOptimiser.cs
index b6573533..376f6a62 100644
--- a/Sigma.Core/Training/Optimisers/Gradient/GradientDescentOptimiser.cs
+++ b/Sigma.Core/Training/Optimisers/Gradient/GradientDescentOptimiser.cs
@@ -32,7 +32,11 @@ public GradientDescentOptimiser(double learningRate, string externalCostAlias =
 
 		protected override INDArray Optimise(string paramIdentifier, INDArray parameter, INDArray gradient, IComputationHandler handler)
 		{
-			return handler.Add(parameter, handler.Multiply(gradient, -Registry.Get<double>("learning_rate")));
+			INDArray update = handler.Multiply(gradient, -Registry.Get<double>("learning_rate"));
+
+			ExposeParameterUpdate(paramIdentifier, update);
+
+			return handler.Add(parameter, update);
 		}
 
 		/// <summary>
diff --git a/Sigma.Core/Training/Optimisers/Gradient/Memory/AdadeltaOptimiser.cs b/Sigma.Core/Training/Optimisers/Gradient/Memory/AdadeltaOptimiser.cs
index 9783a10e..0c82fc98 100644
--- a/Sigma.Core/Training/Optimisers/Gradient/Memory/AdadeltaOptimiser.cs
+++ b/Sigma.Core/Training/Optimisers/Gradient/Memory/AdadeltaOptimiser.cs
@@ -60,6 +60,8 @@ protected override INDArray Optimise(string paramIdentifier, INDArray parameter,
             SetMemory(memoryIdentifierGradient, currentAccumulatedGradient);
             SetMemory(memoryIdentifierUpdate, currentAccumulatedUpdate);
 
+            ExposeParameterUpdate(paramIdentifier, update);
+
             // compute optimised parameter using computed update
             return handler.Add(parameter, update);
         }
diff --git a/Sigma.Core/Training/Optimisers/Gradient/Memory/AdagradOptimiser.cs b/Sigma.Core/Training/Optimisers/Gradient/Memory/AdagradOptimiser.cs
index 15fa9169..fc304637 100644
--- a/Sigma.Core/Training/Optimisers/Gradient/Memory/AdagradOptimiser.cs
+++ b/Sigma.Core/Training/Optimisers/Gradient/Memory/AdagradOptimiser.cs
@@ -48,9 +48,11 @@ protected override INDArray Optimise(string paramIdentifier, INDArray parameter,
 
 			INDArray adaptedLearningRate = handler.Divide(learningRate, handler.SquareRoot(handler.Add(squaredGradientSum, smoothing)));
 
-		    INDArray update = handler.Multiply(gradient, handler.Multiply(adaptedLearningRate, -1.0));
+			INDArray update = handler.Multiply(gradient, handler.Multiply(adaptedLearningRate, -1.0));
 
-		    return handler.Add(parameter, update);
+			ExposeParameterUpdate(paramIdentifier, update);
+
+			return handler.Add(parameter, update);
 		}
 
 		/// <summary>
diff --git a/Sigma.Core/Training/Optimisers/Gradient/Memory/MomentumGradientOptimiser.cs b/Sigma.Core/Training/Optimisers/Gradient/Memory/MomentumGradientOptimiser.cs
index 4bdf364e..07e33390 100644
--- a/Sigma.Core/Training/Optimisers/Gradient/Memory/MomentumGradientOptimiser.cs
+++ b/Sigma.Core/Training/Optimisers/Gradient/Memory/MomentumGradientOptimiser.cs
@@ -44,7 +44,11 @@ protected override INDArray Optimise(string paramIdentifier, INDArray parameter,
 
 			SetMemory(paramIdentifier, velocity);
 
-			return handler.Subtract(velocity, parameter);
+			INDArray update = handler.Multiply(velocity, -1.0);
+
+			ExposeParameterUpdate(paramIdentifier, update);
+
+			return handler.Add(parameter, update);
 		}
 
 		/// <inheritdoc />
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index 50f2e221..872c13b3 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -32,6 +32,7 @@
 using System.Diagnostics;
 using System.Linq;
 using System.Threading;
+using Sigma.Core.Training.Hooks.Processors;
 using Sigma.Core.Training.Hooks.Saviors;
 using Sigma.Core.Training.Optimisers.Gradient;
 

From 9a777a2b12a73b4efe003ad518415fd032da734a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Tue, 18 Apr 2017 21:33:59 +0200
Subject: [PATCH 29/40] Add metric graphs to internal wpf demo

Add metric graphs to internal wpf demo
---
 Sigma.Tests.Internals.WPF/Program.cs | 29 ++++++++++++++++++++--------
 1 file changed, 21 insertions(+), 8 deletions(-)

diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index 235dfd37..eebb7f87 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -11,6 +11,7 @@
 using Sigma.Core.Layers.Cost;
 using Sigma.Core.Layers.External;
 using Sigma.Core.Layers.Feedforward;
+using Sigma.Core.MathAbstract;
 using Sigma.Core.Monitors.WPF;
 using Sigma.Core.Monitors.WPF.Model.UI.Resources;
 using Sigma.Core.Monitors.WPF.Model.UI.StatusBar;
@@ -21,6 +22,7 @@
 using Sigma.Core.Monitors.WPF.View.Parameterisation;
 using Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults;
 using Sigma.Core.Training;
+using Sigma.Core.Training.Hooks.Processors;
 using Sigma.Core.Training.Hooks.Reporters;
 using Sigma.Core.Training.Initialisers;
 using Sigma.Core.Training.Operators.Backends.NativeCpu;
@@ -43,6 +45,10 @@ private static void Main()
 			// create a new mnist trainer
 			ITrainer trainer = CreateIrisTrainer(sigma);
 
+			trainer.AddLocalHook(new MetricProcessorHook<INDArray>("network.layers.*.weights", (a, h) => h.Divide(h.Sum(a), a.Length), "shared.network_weights_average"));
+			trainer.AddLocalHook(new MetricProcessorHook<INDArray>("network.layers.*.weights", (a, h) => h.StandardDeviation(a), "shared.network_weights_stddev"));
+			trainer.AddLocalHook(new MetricProcessorHook<INDArray>("optimiser.updates", (a, h) => h.Divide(h.Sum(a), a.Length), "shared.optimiser_updates_average"));
+
 			// for the UI we have to activate more features
 			if (UI)
 			{
@@ -70,16 +76,22 @@ private static void Main()
 					window.TabControl["Overview"].AddCumulativePanel(new ControlPanel("Control", trainer), legend: iris);
 
 					// create an accuracy cost that updates every iteration
-					var cost = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Cost", trainer, "optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch));
+					var cost = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Cost / Epoch", trainer, "optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch));
 					// improve the chart performance
 					cost.Fast();
 
+					var weightAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Average of weights / Epoch", trainer, "shared.network_weights_average", TimeStep.Every(10, TimeScale.Epoch));
+					weightAverage.Fast();
+
+					var weightStddev = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Standard deviation of weights / Epoch", trainer, "shared.network_weights_stddev", TimeStep.Every(10, TimeScale.Epoch));
+					weightStddev.Fast();
+
+					var updateAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Average of parameter updates / Epoch", trainer, "shared.optimiser_updates_average", TimeStep.Every(10, TimeScale.Epoch));
+					updateAverage.Fast();
+
 					//var accuracy = new AccuracyPanel("Accuracy", trainer, null, 1, 2, 3);
 					//accuracy.Fast();
 
-					// add the newly created panel
-					window.TabControl["Overview"].AddCumulativePanel(cost, 1, 1, iris);
-
 					IRegistry regTest = new Registry();
 					regTest.Add("test", DateTime.Now);
 
@@ -97,11 +109,9 @@ private static void Main()
 					var costBlock = (UserControlParameterVisualiser) parameter.Content.Add("Cost", typeof(double), trainer.Operator.Registry, "optimiser.cost_total");
 					costBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 
-					var learningBlock = (UserControlParameterVisualiser) parameter.Content.Add("learning", typeof(double), trainer.Operator.Registry, "optimiser.learning_rate");
+					var learningBlock = (UserControlParameterVisualiser) parameter.Content.Add("Learning rate", typeof(double), trainer.Operator.Registry, "optimiser.learning_rate");
 					learningBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 
-					learningBlock = (UserControlParameterVisualiser) parameter.Content.Add("learning", typeof(double), trainer.Operator.Registry, "optimiser.learning_rate");
-					learningBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 
 					var timeBox = (SigmaTextBlock) parameter.Content.Add("Running time", typeof(object), trainer.Operator.Registry, "runtime_millis");
 					timeBox.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
@@ -119,8 +129,11 @@ private static void Main()
 					//heeBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 					//parameter.Content.Add(new Label { Content = "Cost" }, heeBlock, null, "optimiser.cost_total");
 
+					window.TabControl["Overview"].AddCumulativePanel(cost, 1, 1, iris);
+					window.TabControl["Overview"].AddCumulativePanel(updateAverage, 1, 1, iris);
 					window.TabControl["Overview"].AddCumulativePanel(parameter);
-
+					window.TabControl["Overview"].AddCumulativePanel(weightStddev, 1, 1, iris);
+					window.TabControl["Overview"].AddCumulativePanel(weightAverage, 1, 1, iris);
 					//window.TabControl["Overview"].AddCumulativePanel(accuracy);
 
 					//window.TabControl["Overview"].AddCumulativePanel(new LogDataGridPanel("Log"), 1, 3, general);

From 67fe41c18ab5a8d0664ad38b7093d0e4c8f273c2 Mon Sep 17 00:00:00 2001
From: Michael Plainer <plainer@ymail.com>
Date: Tue, 18 Apr 2017 21:45:26 +0200
Subject: [PATCH 30/40] Improve controlpanel with more information

Add running time
Add epoch
Add iteration
Add operator
---
 .../Panels/Controls/ControlPanel.cs           | 75 ++++++++++++++++++-
 Sigma.Core.Monitors.WPF/Panels/SigmaPanel.cs  | 55 ++++++++++++--
 .../View/Windows/SigmaWindow.cs               |  6 +-
 .../ViewModel/Tabs/TabUI.cs                   | 18 ++++-
 .../Synchronisation/ISynchronisationSource.cs | 14 ++++
 .../Synchronisation/SynchronisationHandler.cs | 32 ++++++++
 Sigma.Core/Sigma.cs                           |  3 +-
 .../Reporters/ValueSourceReporterHook.cs      | 23 +++++-
 Sigma.Tests.Internals.WPF/Program.cs          | 12 +--
 9 files changed, 209 insertions(+), 29 deletions(-)

diff --git a/Sigma.Core.Monitors.WPF/Panels/Controls/ControlPanel.cs b/Sigma.Core.Monitors.WPF/Panels/Controls/ControlPanel.cs
index ca4f677d..df9e3655 100644
--- a/Sigma.Core.Monitors.WPF/Panels/Controls/ControlPanel.cs
+++ b/Sigma.Core.Monitors.WPF/Panels/Controls/ControlPanel.cs
@@ -6,10 +6,17 @@ MIT License
 For full license see LICENSE in the root directory of this project. 
 */
 
-using System.Windows;
-using System.Windows.Controls;
 using Sigma.Core.Monitors.WPF.View.CustomControls.Panels.Control;
+using Sigma.Core.Monitors.WPF.View.Parameterisation;
+using Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults;
+using Sigma.Core.Monitors.WPF.View.Windows;
 using Sigma.Core.Training;
+using Sigma.Core.Training.Hooks.Reporters;
+using Sigma.Core.Utils;
+using System;
+using System.Collections.Generic;
+using System.Windows;
+using System.Windows.Controls;
 
 namespace Sigma.Core.Monitors.WPF.Panels.Controls
 {
@@ -19,7 +26,8 @@ namespace Sigma.Core.Monitors.WPF.Panels.Controls
 	/// </summary>
 	public class ControlPanel : GenericPanel<StackPanel>
 	{
-		private readonly SigmaPlaybackControl _playbackControl;
+		private SigmaPlaybackControl _playbackControl;
+		private ParameterView _parameterView;
 
 		private ITrainer _trainer;
 
@@ -36,6 +44,18 @@ public ITrainer Trainer
 			}
 		}
 
+		/// <summary>
+		/// This list stores all trainers that have been initialised.
+		/// Required to only add one hook per trainer.
+		/// </summary>
+		private static readonly IList<ITrainer> Trainers;
+
+		static ControlPanel()
+		{
+			Trainers = new List<ITrainer>();
+		}
+
+
 		public ControlPanel(string title, object content = null) : this(title, null, content) { }
 
 		public ControlPanel(string title, ITrainer trainer, object content = null) : base(title, content)
@@ -49,10 +69,57 @@ public ControlPanel(string title, ITrainer trainer, object content = null) : bas
 				HorizontalAlignment = HorizontalAlignment.Center,
 				Margin = new Thickness(0, 20, 0, 0)
 			};
+		}
 
-			_playbackControl = new SigmaPlaybackControl { Trainer = Trainer };
+		/// <summary>
+		/// This method will be called once the window is initialising (after it has been added).
+		/// Do not store a reference of the window unless you properly dispose it (remove reference once not required).
+		/// </summary>
+		/// <param name="window">The wpf window this panel will be added to.</param>
+		protected override void OnInitialise(WPFWindow window)
+		{
+			throw new InvalidOperationException($"{nameof(ControlPanel)} is only compatible with {nameof(SigmaWindow)}s.");
+		}
+
+		/// <summary>
+		/// This method will be called after the panel has been added (window, monitor set...)
+		/// </summary>
+		protected override void OnInitialise(SigmaWindow window)
+		{
+			if (!Trainers.Contains(Trainer))
+			{
+				ValueSourceReporterHook valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Epoch), "runtime_millis");
+				_trainer.AddGlobalHook(valueHook);
+				Monitor.Sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
+				Trainers.Add(Trainer);
+			}
+
+			//TODO: style?
+			_playbackControl = new SigmaPlaybackControl { Trainer = Trainer, Margin = new Thickness(0, 0, 0, 20) };
 
 			Content.Children.Add(_playbackControl);
+
+			_parameterView = new ParameterView(Monitor.Sigma, window);
+
+			//TODO: language support
+
+			SigmaTextBlock timeBox = (SigmaTextBlock) _parameterView.Add("Running time", typeof(object), _trainer.Operator.Registry, "runtime_millis");
+			timeBox.AutoPollValues(_trainer, TimeStep.Every(1, TimeScale.Epoch));
+			timeBox.Postfix = " ms";
+
+			UserControlParameterVisualiser epochBox = (UserControlParameterVisualiser) _parameterView.Add("Current epoch", typeof(object), _trainer.Operator.Registry, "epoch");
+			epochBox.AutoPollValues(_trainer, TimeStep.Every(1, TimeScale.Epoch));
+
+			UserControlParameterVisualiser iterationBox = (UserControlParameterVisualiser) _parameterView.Add("Current iteration", typeof(object), _trainer.Operator.Registry, "iteration");
+			iterationBox.AutoPollValues(_trainer, TimeStep.Every(1, TimeScale.Iteration));
+
+			IRegistry registry = new Registry
+			{
+				{ "op", Trainer.Operator.GetType().Name }
+			};
+			_parameterView.Add("Current operator", typeof(object), registry, "op");
+
+			Content.Children.Add(_parameterView);
 		}
 	}
 }
diff --git a/Sigma.Core.Monitors.WPF/Panels/SigmaPanel.cs b/Sigma.Core.Monitors.WPF/Panels/SigmaPanel.cs
index 73028d60..5fe123e4 100644
--- a/Sigma.Core.Monitors.WPF/Panels/SigmaPanel.cs
+++ b/Sigma.Core.Monitors.WPF/Panels/SigmaPanel.cs
@@ -9,6 +9,7 @@ For full license see LICENSE in the root directory of this project.
 using System.Windows;
 using System.Windows.Controls;
 using MaterialDesignThemes.Wpf;
+using Sigma.Core.Monitors.WPF.View.Windows;
 
 // ReSharper disable VirtualMemberCallInConstructor
 
@@ -38,6 +39,11 @@ public abstract class SigmaPanel : Card
 		/// </summary>
 		private UIElement _content;
 
+		/// <summary>
+		/// Currently responsible monitor - it will be automatically set when adding a new panel. (<c>null</c> until <see cref="Initialise"/>)
+		/// </summary>
+		public WPFMonitor Monitor { get; set; }
+
 		/// <summary>
 		///     Create a SigmaPanel with a given title.
 		///     If a title is not sufficient modify <see cref="Header" />.
@@ -99,7 +105,7 @@ protected SigmaPanel(string title, object content = null)
 				}
 				else
 				{
-					_content = value as UIElement ?? new Label { Content = value.ToString() };
+					_content = value as UIElement ?? new Label {Content = value.ToString()};
 					ContentGrid.Children.Add(_content);
 				}
 			}
@@ -143,10 +149,10 @@ protected virtual Grid CreateHeader(object content)
 		{
 			Grid header = new Grid();
 
-			header.RowDefinitions.Add(new RowDefinition { Height = new GridLength(1, GridUnitType.Auto) });
-			header.ColumnDefinitions.Add(new ColumnDefinition { Width = new GridLength(1, GridUnitType.Auto) });
+			header.RowDefinitions.Add(new RowDefinition {Height = new GridLength(1, GridUnitType.Auto)});
+			header.ColumnDefinitions.Add(new ColumnDefinition {Width = new GridLength(1, GridUnitType.Auto)});
 
-			Label headerContent = new Label { Content = content };
+			Label headerContent = new Label {Content = content};
 			header.Children.Add(headerContent);
 
 			header.SetResourceReference(BackgroundProperty, "SigmaPanelHeaderBackground");
@@ -174,19 +180,54 @@ protected virtual Grid CreateContentGrid()
 		{
 			Grid grid = new Grid();
 
-			grid.RowDefinitions.Add(new RowDefinition { Height = new GridLength(1, GridUnitType.Star) });
-			grid.ColumnDefinitions.Add(new ColumnDefinition { Width = new GridLength(1, GridUnitType.Star) });
+			grid.RowDefinitions.Add(new RowDefinition {Height = new GridLength(1, GridUnitType.Star)});
+			grid.ColumnDefinitions.Add(new ColumnDefinition {Width = new GridLength(1, GridUnitType.Star)});
 
 			return grid;
 		}
 
+		/// <summary>
+		/// This method invokes the initialisation of the panel (after it has been addded).
+		/// </summary>
+		public void Initialise(WPFWindow window)
+		{
+			if (window is SigmaWindow)
+			{
+				OnInitialise((SigmaWindow)window);
+			}
+			else
+			{
+				OnInitialise(window);
+			}
+		}
+
+		/// <summary>
+		/// This method will be called once the window is initialising (after it has been added).
+		/// Do not store a reference of the window unless you properly dispose it (remove reference once not required).
+		/// </summary>
+		/// <param name="window">The wpf window this panel will be added to.</param>
+		protected virtual void OnInitialise(WPFWindow window)
+		{
+			
+		}
+
+		/// <summary>
+		/// This method will be called once the window is initialising (after it has been added).
+		/// Do not store a reference of the window unless you properly dispose it (remove reference once not required).
+		/// </summary>
+		/// <param name="window">The wpf window this panel will be added to.</param>
+		protected virtual void OnInitialise(SigmaWindow window)
+		{
+			
+		}
+
 		/// <summary>
 		///     Create the default panel in which every other element is contained.
 		/// </summary>
 		/// <returns>The newly create <see cref="DockPanel" />.</returns>
 		protected virtual DockPanel CreateDockPanel()
 		{
-			return new DockPanel { LastChildFill = true, Margin = new Thickness(-1, 0, 0, 0) };
+			return new DockPanel {LastChildFill = true, Margin = new Thickness(-1, 0, 0, 0)};
 		}
 	}
 }
\ No newline at end of file
diff --git a/Sigma.Core.Monitors.WPF/View/Windows/SigmaWindow.cs b/Sigma.Core.Monitors.WPF/View/Windows/SigmaWindow.cs
index 1e615dee..2428a1ba 100644
--- a/Sigma.Core.Monitors.WPF/View/Windows/SigmaWindow.cs
+++ b/Sigma.Core.Monitors.WPF/View/Windows/SigmaWindow.cs
@@ -171,7 +171,7 @@ public class SigmaWindow : WPFWindow, IDisposable
 		/// The <see cref="IParameterVisualiserManager"/> that is responsible for creation and detection of 
 		/// visualisation elements.
 		/// </summary>
-		public IParameterVisualiserManager ParameterVisualiser { get;  }
+		public IParameterVisualiserManager ParameterVisualiser { get; }
 
 		/// <summary>
 		/// The prefix-identifier for <see cref="DialogHost"/>.
@@ -663,7 +663,7 @@ protected virtual void AddTabs(TabControlUI<SigmaWindow, TabUI> tabControl, List
 		{
 			foreach (string name in names)
 			{
-				tabControl.AddTab(name, new TabUI(name, DefaultGridSize));
+				tabControl.AddTab(name, new TabUI(Monitor, name, DefaultGridSize));
 			}
 		}
 
@@ -675,7 +675,7 @@ public virtual void AddTabs(params string[] tabs)
 		{
 			foreach (string tab in tabs)
 			{
-				TabControl.AddTab(tab, new TabUI(tab, DefaultGridSize));
+				TabControl.AddTab(tab, new TabUI(Monitor, tab, DefaultGridSize));
 			}
 		}
 
diff --git a/Sigma.Core.Monitors.WPF/ViewModel/Tabs/TabUI.cs b/Sigma.Core.Monitors.WPF/ViewModel/Tabs/TabUI.cs
index 9fe107bc..b737ce86 100644
--- a/Sigma.Core.Monitors.WPF/ViewModel/Tabs/TabUI.cs
+++ b/Sigma.Core.Monitors.WPF/ViewModel/Tabs/TabUI.cs
@@ -17,6 +17,7 @@ For full license see LICENSE in the root directory of this project.
 using Sigma.Core.Monitors.WPF.Model.UI.Windows;
 using Sigma.Core.Monitors.WPF.Panels;
 using Sigma.Core.Monitors.WPF.View;
+using Sigma.Core.Monitors.WPF.View.Windows;
 using Sigma.Core.Monitors.WPF.ViewModel.CustomControls;
 using WPFGrid = System.Windows.Controls.Grid;
 
@@ -39,17 +40,24 @@ public class TabUI : UIWrapper<TabItem>
 		/// </summary>
 		private GridSize _gridSize;
 
+		/// <summary>
+		/// The monitor this tab is assigned to.
+		/// </summary>
+		protected WPFMonitor Monitor;
+
 		/// <summary>
 		///     Create a new <see cref="TabUI" /> - this basically is a
 		///     <see cref="TabItem" /> with additional control.
 		/// </summary>
+		/// <param name="monitor">The monitor this tab is assigned to.</param>
 		/// <param name="header">The header of the tab (name in the <see cref="TabControl" />)</param>
 		/// <param name="gridsize">
-		///     The <see cref="GridSize" />. Use
-		///     <see cref="View.Windows.SigmaWindow.DefaultGridSize" />.
+		/// The <see cref="GridSize" />. Use
+		/// <see cref="SigmaWindow.DefaultGridSize" />.
 		/// </param>
-		public TabUI(string header, GridSize gridsize)
+		public TabUI(WPFMonitor monitor, string header, GridSize gridsize)
 		{
+			Monitor = monitor;
 			Content.Header = header;
 			GridSize = gridsize;
 		}
@@ -205,8 +213,10 @@ protected virtual void ApplyLegend(SigmaPanel panel, StatusBarLegendInfo legend)
 		public void AddCumulativePanel(SigmaPanel panel, int rowSpan = 1, int columnSpan = 1,
 			StatusBarLegendInfo legend = null)
 		{
+			panel.Monitor = Monitor;
 			AddCumulativeElement(panel, rowSpan, columnSpan);
 			ApplyLegend(panel, legend);
+			panel.Initialise(Monitor.Window);
 		}
 
 		/// <summary>
@@ -266,8 +276,10 @@ public void AddCumulativeElement(UIElement element, int rowSpan = 1, int columnS
 		public void AddPanel(SigmaPanel panel, int row, int column, int rowSpan = 1, int columnSpan = 1,
 			StatusBarLegendInfo legend = null)
 		{
+			panel.Monitor = Monitor;
 			AddElement(panel, row, column, rowSpan, columnSpan);
 			ApplyLegend(panel, legend);
+			panel.Initialise(Monitor.Window);
 		}
 
 		/// <summary>
diff --git a/Sigma.Core/Monitors/Synchronisation/ISynchronisationSource.cs b/Sigma.Core/Monitors/Synchronisation/ISynchronisationSource.cs
index 0552a024..f6f17e9b 100644
--- a/Sigma.Core/Monitors/Synchronisation/ISynchronisationSource.cs
+++ b/Sigma.Core/Monitors/Synchronisation/ISynchronisationSource.cs
@@ -24,5 +24,19 @@ public interface ISynchronisationSource
 		/// <param name="val">The value itself that will be assigned if it applicable.</param>
 		/// <returns><c>True</c> if the source could set given key, <c>false</c> otherwise.</returns>
 		bool TrySet<T>(string key, T val);
+
+		/// <summary>
+		/// Determine whether a given key is contained / manged by this source.
+		/// </summary>
+		/// <param name="key">The key that will be checked.</param>
+		/// <returns><c>True</c> if given key can be accessed with get / set, <c>false</c> otherwise.</returns>
+		bool Contains(string key);
+
+		/// <summary>
+		/// This is a list of keys this source provides. It is <b>completely</b> optional, although it is recommended to implement it.
+		/// 
+		/// Once a new source is added, the keys of the sources are checked against to determine double entries which makes debugging for users easier (as log entries are produced autoamtically).
+		/// </summary>
+		string[] Keys { get; }
 	}
 }
\ No newline at end of file
diff --git a/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs b/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
index e407e57a..86c44038 100644
--- a/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
+++ b/Sigma.Core/Monitors/Synchronisation/SynchronisationHandler.cs
@@ -8,6 +8,8 @@ For full license see LICENSE in the root directory of this project.
 
 using System;
 using System.Collections.Generic;
+using System.Linq;
+using log4net;
 using Sigma.Core.Training.Operators;
 using Sigma.Core.Utils;
 
@@ -24,6 +26,8 @@ public class SynchronisationHandler : ISynchronisationHandler, ISynchronisationS
 		/// </summary>
 		public SigmaEnvironment Sigma { get; }
 
+		private readonly ILog _logger = LogManager.GetLogger(typeof(SigmaEnvironment));
+
 		/// <summary>
 		/// Map every registry to a resolver for that registry. 
 		/// </summary>
@@ -53,6 +57,24 @@ public SynchronisationHandler(SigmaEnvironment sigma)
 		public void AddSynchronisationSource(ISynchronisationSource source)
 		{
 			if (source == null) throw new ArgumentNullException(nameof(source));
+
+			if (source.Keys != null)
+			{
+				foreach (string key in source.Keys)
+				{
+					foreach (ISynchronisationSource savedSource in Sources)
+					{
+						if (savedSource.Keys != null)
+						{
+							if (savedSource.Keys.Contains(key))
+							{
+								_logger.Warn($"The key {key} is added to a synchronisation handler by {source.GetType()} but is already provided by {savedSource.GetType()}. It is uncertain which key will be taken (possible performance decrease).");
+							}
+						}
+					}
+				}
+			}
+
 			Sources.Add(source);
 		}
 
@@ -151,16 +173,26 @@ public void SynchroniseUpdate<T>(IRegistry registry, string key, T currentVal, A
 			}
 		}
 
+		public string[] Keys { get; }
+
 		/// <inheritdoc />
 		bool ISynchronisationSource.TryGet<T>(string key, out T val)
 		{
 			throw new NotImplementedException("Get currently not implemented as no registry is passed");
 		}
 
+
+		/// <inheritdoc />
+		bool ISynchronisationSource.Contains(string key)
+		{
+			throw new NotImplementedException("Get currently not implemented as no registry is passed");
+		}
+
 		/// <inheritdoc />
 		bool ISynchronisationSource.TrySet<T>(string key, T val)
 		{
 			throw new NotImplementedException("Set currently not implemented as there is no error");
 		}
+
 	}
 }
\ No newline at end of file
diff --git a/Sigma.Core/Sigma.cs b/Sigma.Core/Sigma.cs
index 211c771a..35ee5b86 100644
--- a/Sigma.Core/Sigma.cs
+++ b/Sigma.Core/Sigma.cs
@@ -59,7 +59,7 @@ public class SigmaEnvironment : ISerialisationNotifier
 		private ManualResetEvent _processQueueEvent;
 
 		[NonSerialized]
-		private readonly ILog _logger = LogManager.GetLogger(System.Reflection.MethodBase.GetCurrentMethod().DeclaringType);
+		private readonly ILog _logger = LogManager.GetLogger(typeof(SigmaEnvironment));
 
 		/// <summary>
 		/// The unique name of this environment. 
@@ -86,6 +86,7 @@ public class SigmaEnvironment : ISerialisationNotifier
 		/// </summary>
 		public IParameterisationManager ParameterisationManager { get; }
 
+		//TODO: put into trainer
 		/// <summary>
 		/// The handler that is responsible for syncing the monitor with operators / workers. 
 		/// </summary>
diff --git a/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs b/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
index e004484a..4080024f 100644
--- a/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
+++ b/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
@@ -28,7 +28,7 @@ public ValueSourceReporterHook(TimeStep timestep, string valueIdentifier) : base
 		/// </summary>
 		/// <param name="valueIdentifiers">The values that will be fetched (i.e. registry identifiers). E.g. <c>"optimiser.cost_total"</c>, ...</param>
 		/// <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
-		public ValueSourceReporterHook(ITimeStep timestep, params  string[] valueIdentifiers) : base(timestep, valueIdentifiers)
+		public ValueSourceReporterHook(ITimeStep timestep, params string[] valueIdentifiers) : base(timestep, valueIdentifiers)
 		{
 			Initialise(valueIdentifiers);
 		}
@@ -47,6 +47,7 @@ protected void Initialise(string valueIdentifier)
 			Initialise();
 			IDictionary<string, object> values = (IDictionary<string, object>) ParameterRegistry[ValueIdentifier];
 			values.Add(valueIdentifier, null);
+			Keys = new[] {valueIdentifier};
 		}
 
 		/// <summary>
@@ -62,6 +63,7 @@ protected void Initialise(string[] valueIdentifiers)
 			{
 				values.Add(identifier, null);
 			}
+			Keys = valueIdentifiers;
 		}
 
 
@@ -131,5 +133,24 @@ public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
 				}
 			}
 		}
+
+		/// <summary>
+		/// Determine whether a given key is contained / manged by this source.
+		/// </summary>
+		/// <param name="key">The key that will be checked.</param>
+		/// <returns><c>True</c> if given key can be accessed with get / set, <c>false</c> otherwise.</returns>
+		public bool Contains(string key)
+		{
+			IDictionary<string, object> values = (IDictionary<string, object>) ParameterRegistry[ValueIdentifier];
+
+			return values.ContainsKey(key);
+		}
+
+		/// <summary>
+		/// This is a list of keys this source provides. It is <b>completely</b> optional, although it is recommended to implement it.
+		/// 
+		/// Once a new source is added, the keys of the sources are checked against to determine double entries which makes debugging for users easier (as log entries are produced autoamtically).
+		/// </summary>
+		public string[] Keys { get; private set; }
 	}
 }
\ No newline at end of file
diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index eebb7f87..ad760752 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -98,7 +98,7 @@ private static void Main()
 					var parameter = new ParameterPanel("Parameters", sigma, window);
 					parameter.Add("Time", typeof(DateTime), regTest, "test");
 
-					ValueSourceReporterHook valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Epoch), "optimiser.cost_total", "runtime_millis");
+					ValueSourceReporterHook valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Epoch), "optimiser.cost_total");
 					trainer.AddGlobalHook(valueHook);
 					sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
 
@@ -113,15 +113,7 @@ private static void Main()
 					learningBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 
 
-					var timeBox = (SigmaTextBlock) parameter.Content.Add("Running time", typeof(object), trainer.Operator.Registry, "runtime_millis");
-					timeBox.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
-					timeBox.Postfix = " ms";
-
-					var epochBox = (UserControlParameterVisualiser) parameter.Content.Add("Current epoch", typeof(object), trainer.Operator.Registry, "epoch");
-					epochBox.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
-
-					var iterationBox = (UserControlParameterVisualiser) parameter.Content.Add("Current iteration", typeof(object), trainer.Operator.Registry, "iteration");
-					iterationBox.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Iteration));
+					
 
 					//trainer.AddGlobalHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
 

From aaf9999232d8abd4997c0ae10e51639237b648f2 Mon Sep 17 00:00:00 2001
From: Florian <florian.caesar@outlook.com>
Date: Wed, 19 Apr 2017 09:44:55 +0200
Subject: [PATCH 31/40] Update metric wpf demo

---
 Sigma.Tests.Internals.WPF/Program.cs | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index ad760752..0027f37b 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -1,5 +1,4 @@
-using System;
-using LiveCharts.Wpf;
+using LiveCharts.Wpf;
 using Sigma.Core;
 using Sigma.Core.Architecture;
 using Sigma.Core.Data.Datasets;
@@ -20,7 +19,6 @@
 using Sigma.Core.Monitors.WPF.Panels.Parameterisation;
 using Sigma.Core.Monitors.WPF.Utils;
 using Sigma.Core.Monitors.WPF.View.Parameterisation;
-using Sigma.Core.Monitors.WPF.View.Parameterisation.Defaults;
 using Sigma.Core.Training;
 using Sigma.Core.Training.Hooks.Processors;
 using Sigma.Core.Training.Hooks.Reporters;
@@ -29,6 +27,7 @@
 using Sigma.Core.Training.Optimisers.Gradient;
 using Sigma.Core.Training.Optimisers.Gradient.Memory;
 using Sigma.Core.Utils;
+using System;
 
 namespace Sigma.Tests.Internals.WPF
 {
@@ -76,7 +75,7 @@ private static void Main()
 					window.TabControl["Overview"].AddCumulativePanel(new ControlPanel("Control", trainer), legend: iris);
 
 					// create an accuracy cost that updates every iteration
-					var cost = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Cost / Epoch", trainer, "optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch));
+					var cost = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Cost / Epoch", trainer, "optimiser.cost_total", TimeStep.Every(10, TimeScale.Epoch));
 					// improve the chart performance
 					cost.Fast();
 

From 3ea4826cc32c3149990939e99632b56e43ea1320 Mon Sep 17 00:00:00 2001
From: Michael Plainer <plainer@ymail.com>
Date: Wed, 19 Apr 2017 20:54:23 +0200
Subject: [PATCH 32/40] Fix cost parameter

---
 .../Panels/Controls/ControlPanel.cs           |  6 +++-
 .../Reporters/ValueSourceReporterHook.cs      | 28 +++++++++----------
 Sigma.Tests.Internals.WPF/Program.cs          |  9 +-----
 3 files changed, 19 insertions(+), 24 deletions(-)

diff --git a/Sigma.Core.Monitors.WPF/Panels/Controls/ControlPanel.cs b/Sigma.Core.Monitors.WPF/Panels/Controls/ControlPanel.cs
index df9e3655..f5790190 100644
--- a/Sigma.Core.Monitors.WPF/Panels/Controls/ControlPanel.cs
+++ b/Sigma.Core.Monitors.WPF/Panels/Controls/ControlPanel.cs
@@ -92,10 +92,14 @@ protected override void OnInitialise(SigmaWindow window)
 				_trainer.AddGlobalHook(valueHook);
 				Monitor.Sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
 				Trainers.Add(Trainer);
+
+				valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Iteration), "iteration");
+				_trainer.AddLocalHook(valueHook);
+				Monitor.Sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
 			}
 
 			//TODO: style?
-			_playbackControl = new SigmaPlaybackControl { Trainer = Trainer, Margin = new Thickness(0, 0, 0, 20) };
+			_playbackControl = new SigmaPlaybackControl { Trainer = Trainer, Margin = new Thickness(0, 0, 0, 20), HorizontalAlignment = HorizontalAlignment.Center};
 
 			Content.Children.Add(_playbackControl);
 
diff --git a/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs b/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
index 4080024f..aef22a04 100644
--- a/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
+++ b/Sigma.Core/Training/Hooks/Reporters/ValueSourceReporterHook.cs
@@ -10,6 +10,8 @@ namespace Sigma.Core.Training.Hooks.Reporters
 	public class ValueSourceReporterHook : BaseHook, ISynchronisationSource
 	{
 		private const string ValueIdentifier = "values";
+		private const string RegistryResolver = "resolver";
+
 		//private readonly IDictionary<string, object> _values = new Dictionary<string, object>();
 
 		/// <summary>
@@ -35,7 +37,10 @@ public ValueSourceReporterHook(ITimeStep timestep, params string[] valueIdentifi
 
 		private void Initialise()
 		{
-			ParameterRegistry.Add(ValueIdentifier, new Dictionary<string, object>());
+			IRegistry reg = new Registry();
+			reg.Add(RegistryResolver, new RegistryResolver(reg));
+
+			ParameterRegistry.Add(ValueIdentifier, reg);
 		}
 
 		/// <summary>
@@ -45,7 +50,7 @@ private void Initialise()
 		protected void Initialise(string valueIdentifier)
 		{
 			Initialise();
-			IDictionary<string, object> values = (IDictionary<string, object>) ParameterRegistry[ValueIdentifier];
+			IRegistry values = (IRegistry) ParameterRegistry[ValueIdentifier];
 			values.Add(valueIdentifier, null);
 			Keys = new[] {valueIdentifier};
 		}
@@ -57,7 +62,7 @@ protected void Initialise(string valueIdentifier)
 		protected void Initialise(string[] valueIdentifiers)
 		{
 			Initialise();
-			IDictionary<string, object> values = (IDictionary<string, object>) ParameterRegistry[ValueIdentifier];
+			IRegistry values = (IRegistry) ParameterRegistry[ValueIdentifier];
 
 			foreach (string identifier in valueIdentifiers)
 			{
@@ -76,24 +81,17 @@ protected void Initialise(string[] valueIdentifiers)
 		/// <returns><c>True</c> if the source could retrieve given key, <c>false</c> otherwise.</returns>
 		public bool TryGet<T>(string key, out T val)
 		{
-			IDictionary<string, object> values = (IDictionary<string, object>) ParameterRegistry[ValueIdentifier];
+			IRegistry values = (IRegistry) ParameterRegistry[ValueIdentifier];
+			IRegistryResolver resolver = values.Get<IRegistryResolver>(RegistryResolver);
 
 			//TODO: validate lock requirement, probably it is required
 			lock (values)
 			{
-				object oVal;
+				T[] vals = resolver.ResolveGet<T>(key);
 
-				if (values.TryGetValue(key, out oVal))
+				if (vals.Length > 0)
 				{
-					if (oVal == null)
-					{
-						val = default(T);
-					}
-					else
-					{
-						val = (T) oVal;
-					}
-
+					val = vals[0];
 					return true;
 				}
 
diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index 0027f37b..a07fcbf0 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -98,22 +98,15 @@ private static void Main()
 					parameter.Add("Time", typeof(DateTime), regTest, "test");
 
 					ValueSourceReporterHook valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Epoch), "optimiser.cost_total");
-					trainer.AddGlobalHook(valueHook);
-					sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
-
-					valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Iteration), "iteration");
 					trainer.AddLocalHook(valueHook);
 					sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
 
-					var costBlock = (UserControlParameterVisualiser) parameter.Content.Add("Cost", typeof(double), trainer.Operator.Registry, "optimiser.cost_total");
+					var costBlock = (UserControlParameterVisualiser) parameter.Content.Add("Cost", typeof(object), trainer.Operator.Registry, "optimiser.cost_total");
 					costBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 
 					var learningBlock = (UserControlParameterVisualiser) parameter.Content.Add("Learning rate", typeof(double), trainer.Operator.Registry, "optimiser.learning_rate");
 					learningBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 
-
-					
-
 					//trainer.AddGlobalHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
 
 					//var heeBlock = new SigmaTimeBlock();

From 3c73a001533437f1ee26877ef940cdaa7229859f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Thu, 20 Apr 2017 19:19:03 +0200
Subject: [PATCH 33/40] Add average mode to number accumulator and
 corresponding components

Add average mode to number accumulator and corresponding components
---
 .../Panels/Charts/AccuracyPanel.cs            |  20 +-
 .../Panels/Charts/TrainerChartPanel.cs        |  10 +-
 .../Hooks/Processors/NumberAccumulatorHook.cs |  26 +-
 .../Hooks/Reporters/ValueReporterHook.cs      |   4 +-
 Sigma.Core/Utils/RegistryResolver.cs          |   2 +-
 Sigma.Tests.Internals.WPF/Program.cs          | 315 ++++++++++--------
 6 files changed, 216 insertions(+), 161 deletions(-)

diff --git a/Sigma.Core.Monitors.WPF/Panels/Charts/AccuracyPanel.cs b/Sigma.Core.Monitors.WPF/Panels/Charts/AccuracyPanel.cs
index d480525e..a96a0db9 100644
--- a/Sigma.Core.Monitors.WPF/Panels/Charts/AccuracyPanel.cs
+++ b/Sigma.Core.Monitors.WPF/Panels/Charts/AccuracyPanel.cs
@@ -6,6 +6,7 @@ MIT License
 For full license see LICENSE in the root directory of this project. 
 */
 
+using System;
 using System.Collections.Generic;
 using LiveCharts;
 using LiveCharts.Wpf;
@@ -42,15 +43,30 @@ public AccuracyPanel(string title, ITrainer trainer, object headerContent = null
 		/// <param name="headerContent">The content for the header. If <c>null</c> is passed,
 		/// the title will be used.</param>
 		/// <param name="tops"></param>
-		public AccuracyPanel(string title, ITrainer trainer, object headerContent = null, params int[] tops) : base(title, headerContent)
+		public AccuracyPanel(string title, ITrainer trainer, object headerContent = null, params int[] tops) : this(title, trainer, TimeStep.Every(1, TimeScale.Epoch), headerContent, tops)
 		{
+		}
+
+		/// <summary>
+		/// Create an AccuracyPanel with a given title. It displays given accuracies per epoch.
+		/// If a title is not sufficient modify <see cref="SigmaPanel.Header" />.
+		/// </summary>
+		/// <param name="title">The given tile.</param>
+		/// <param name="trainer"></param>
+		/// <param name="headerContent">The content for the header. If <c>null</c> is passed,
+		/// the title will be used.</param>
+		/// <param name="tops"></param>
+		public AccuracyPanel(string title, ITrainer trainer, ITimeStep timeStep, object headerContent = null, params int[] tops) : base(title, headerContent)
+		{
+			if (timeStep == null) throw new ArgumentNullException(nameof(timeStep));
+
 			// skip the first since its automatically generated
 			for (int i = 1; i < tops.Length; i++)
 			{
 				AddSeries(new LineSeries());
 			}
 
-			trainer.AddHook(new ChartValidationAccuracyReport(this, "validation", TimeStep.Every(1, TimeScale.Epoch), tops));
+			trainer.AddHook(new ChartValidationAccuracyReport(this, "validation", timeStep, tops));
 
 			AxisY.MinValue = 0;
 			AxisY.MaxValue = 100;
diff --git a/Sigma.Core.Monitors.WPF/Panels/Charts/TrainerChartPanel.cs b/Sigma.Core.Monitors.WPF/Panels/Charts/TrainerChartPanel.cs
index 5e8285a5..7ac2486d 100644
--- a/Sigma.Core.Monitors.WPF/Panels/Charts/TrainerChartPanel.cs
+++ b/Sigma.Core.Monitors.WPF/Panels/Charts/TrainerChartPanel.cs
@@ -48,9 +48,9 @@ namespace Sigma.Core.Monitors.WPF.Panels.Charts
 		/// <param name="timestep">The <see cref="TimeStep"/> for the hook.</param>
 		/// <param name="headerContent">The content for the header. If <c>null</c> is passed,
 		/// the title will be used.</param>
-		public TrainerChartPanel(string title, ITrainer trainer, string hookedValue, ITimeStep timestep, object headerContent = null) : base(title, headerContent)
+		public TrainerChartPanel(string title, ITrainer trainer, string hookedValue, ITimeStep timestep, bool averageMode = false, object headerContent = null) : base(title, headerContent)
 		{
-			VisualValueReporterHook hook = new VisualValueReporterHook(this, new[] { hookedValue }, timestep);
+			VisualValueReporterHook hook = new VisualValueReporterHook(this, new[] { hookedValue }, timestep, averageMode);
 			Init(trainer, hook);
 		}
 
@@ -65,9 +65,9 @@ public TrainerChartPanel(string title, ITrainer trainer, string hookedValue, ITi
 		/// <param name="timestep">The <see cref="TimeStep"/> for the hook.</param>
 		/// <param name="headerContent">The content for the header. If <c>null</c> is passed,
 		/// the title will be used.</param>
-		public TrainerChartPanel(string title, ITrainer trainer, ITimeStep timestep, object headerContent = null, params string[] hookedValues) : base(title, headerContent)
+		public TrainerChartPanel(string title, ITrainer trainer, ITimeStep timestep, bool averageMode = false, object headerContent = null, params string[] hookedValues) : base(title, headerContent)
 		{
-			VisualValueReporterHook hook = new VisualValueReporterHook(this, hookedValues, timestep);
+			VisualValueReporterHook hook = new VisualValueReporterHook(this, hookedValues, timestep, averageMode);
 			Init(trainer, hook);
 		}
 
@@ -118,7 +118,7 @@ protected class VisualValueReporterHook : ValueReporterHook
 			/// <param name="chartPanel">The chartpanel to which points will get added.</param>
 			/// <param name="valueIdentifiers">The identifiers for the <see cref="ValueReporterHook"/>; these values will get plotted.</param>
 			/// <param name="timestep">The <see cref="TimeStep"/> for the hook (i.e. execution definition).</param>
-			public VisualValueReporterHook(ChartPanel<TChart, TSeries, TChartValues, TData> chartPanel, string[] valueIdentifiers, ITimeStep timestep) : base(valueIdentifiers, timestep)
+			public VisualValueReporterHook(ChartPanel<TChart, TSeries, TChartValues, TData> chartPanel, string[] valueIdentifiers, ITimeStep timestep, bool averageMode = false) : base(valueIdentifiers, timestep, averageMode, false)
 			{
 				ParameterRegistry[ChartPanelIdentifier] = chartPanel;
 			}
diff --git a/Sigma.Core/Training/Hooks/Processors/NumberAccumulatorHook.cs b/Sigma.Core/Training/Hooks/Processors/NumberAccumulatorHook.cs
index dbe445c9..a33eafc1 100644
--- a/Sigma.Core/Training/Hooks/Processors/NumberAccumulatorHook.cs
+++ b/Sigma.Core/Training/Hooks/Processors/NumberAccumulatorHook.cs
@@ -17,16 +17,19 @@ namespace Sigma.Core.Training.Hooks.Accumulators
 	[Serializable]
 	public class NumberAccumulatorHook : BaseHook
 	{
-		public NumberAccumulatorHook(string registryEntry, TimeStep timeStep, int resetEvery = -1, int resetInterval = 0) : this(registryEntry, registryEntry.Replace('.', '_') + "_accumulated", timeStep, resetEvery, resetInterval)
+		public NumberAccumulatorHook(string registryEntry, TimeStep timeStep, bool averageMode = false, int resetEvery = -1, int resetInterval = 0) : this(registryEntry, registryEntry.Replace('.', '_') + "_accumulated", timeStep, averageMode, resetEvery, resetInterval)
 		{
 		}
 
-		public NumberAccumulatorHook(string registryEntry, string resultEntry, TimeStep timeStep, int resetEvery = -1, int resetInterval = 0) : base(timeStep, registryEntry)
+		public NumberAccumulatorHook(string registryEntry, string resultEntry, TimeStep timeStep, bool averageMode = false, int resetEvery = -1, int resetInterval = 0) : base(timeStep, registryEntry)
 		{
 			ParameterRegistry["registry_entry"] = registryEntry;
 			ParameterRegistry["shared_result_entry"] = resultEntry;
+			ParameterRegistry["accumulated_value"] = 0.0;
 			ParameterRegistry["reset_interval"] = resetInterval;
 			ParameterRegistry["reset_every"] = resetEvery;
+			ParameterRegistry["average_mode"] = averageMode;
+			ParameterRegistry["count_since_reset"] = 0;
 		}
 
 		/// <summary>
@@ -40,18 +43,31 @@ public override void SubInvoke(IRegistry registry, IRegistryResolver resolver)
 			string resultEntry = ParameterRegistry.Get<string>("shared_result_entry");
 
 			double value = resolver.ResolveGetSingle<double>(registryEntry);
-			double accumulatedValue = resolver.ResolveGetSingleWithDefault<double>(resultEntry, 0.0);
+			double previousAccumulatedValue = ParameterRegistry.Get<double>("accumulated_value");
 
 			int currentInterval = HookUtils.GetCurrentInterval(registry, TimeStep.TimeScale);
 			int resetInterval = ParameterRegistry.Get<int>("reset_interval");
 			int resetEvery = ParameterRegistry.Get<int>("reset_every");
+			int countSinceReset = ParameterRegistry.Get<int>("count_since_reset");
 
 			if (currentInterval == resetInterval || resetEvery > 0 && currentInterval % resetEvery == 0)
 			{
-				accumulatedValue = 0.0;
+				previousAccumulatedValue = 0.0;
+				countSinceReset = 0;
 			}
 
-			resolver.ResolveSet(resultEntry, value + accumulatedValue, addIdentifierIfNotExists: true);
+		    countSinceReset++;
+
+			double result = value + previousAccumulatedValue;
+
+			if (ParameterRegistry.Get<bool>("average_mode"))
+			{
+			    result /= countSinceReset;
+			}
+
+			ParameterRegistry["count_since_reset"] = countSinceReset;
+			ParameterRegistry["accumulated_value"] = value + previousAccumulatedValue;
+			resolver.ResolveSet(resultEntry, result, addIdentifierIfNotExists: true);
 		}
 	}
 }
diff --git a/Sigma.Core/Training/Hooks/Reporters/ValueReporterHook.cs b/Sigma.Core/Training/Hooks/Reporters/ValueReporterHook.cs
index 829611ad..f79466e8 100644
--- a/Sigma.Core/Training/Hooks/Reporters/ValueReporterHook.cs
+++ b/Sigma.Core/Training/Hooks/Reporters/ValueReporterHook.cs
@@ -62,7 +62,7 @@ public ValueReporterHook(string valueIdentifier, ITimeStep timestep, double thre
 		///  <param name="valueIdentifiers">The values that will be fetched (i.e. registry identifiers). E.g. <c>"optimiser.cost_total"</c>, ...</param>
 		///  <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
 		/// <param name="reportEpochIteration">Indicate whether or not to report the current epoch and iteration in addition to the values.</param>
-		public ValueReporterHook(string[] valueIdentifiers, ITimeStep timestep, bool reportEpochIteration = false) : base(timestep, valueIdentifiers)
+		public ValueReporterHook(string[] valueIdentifiers, ITimeStep timestep, bool averageValues = false, bool reportEpochIteration = false) : base(timestep, valueIdentifiers)
 		{
 			if (valueIdentifiers.Length == 0) throw new ArgumentException("Value identifiers cannot be empty (it's the whole point of this hook).");
 
@@ -92,7 +92,7 @@ public ValueReporterHook(string[] valueIdentifiers, ITimeStep timestep, bool rep
 					resetInterval = 0;
 				}
 
-				RequireHook(new NumberAccumulatorHook(value, accumulatedIdentifiers[i], Utils.TimeStep.Every(1, TimeScale.Iteration), resetEvery, resetInterval));
+				RequireHook(new NumberAccumulatorHook(value, accumulatedIdentifiers[i], Utils.TimeStep.Every(1, TimeScale.Iteration), averageValues, resetEvery, resetInterval));
 
 				valueBuffer.Add(value, null);
 			}
diff --git a/Sigma.Core/Utils/RegistryResolver.cs b/Sigma.Core/Utils/RegistryResolver.cs
index 70158acf..f5b2f750 100644
--- a/Sigma.Core/Utils/RegistryResolver.cs
+++ b/Sigma.Core/Utils/RegistryResolver.cs
@@ -344,7 +344,7 @@ private void AddMatchingIdentifiersFromRegistryTree(int hierarchyLevel, int last
 
 			bool noneMatched = true;
 
-			foreach (string identifier in currentRootAtLevel.Keys)
+			foreach (string identifier in currentRootAtLevel.Keys.ToArray()) // TODO ugly hack, toarray is inefficient and is just to prevent "random" concurrent modification exception
 			{
 				if (regex.IsMatch(identifier))
 				{
diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index 0027f37b..a0b49466 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -28,191 +28,214 @@
 using Sigma.Core.Training.Optimisers.Gradient.Memory;
 using Sigma.Core.Utils;
 using System;
+using Sigma.Core.Monitors.WPF.Model.UI.Windows;
+using Sigma.Core.Training.Modifiers;
 
 namespace Sigma.Tests.Internals.WPF
 {
 
-	internal class Program
-	{
-		private const bool UI = true;
+    internal class Program
+    {
+        private const bool UI = true;
 
-		private static void Main()
-		{
-			SigmaEnvironment.EnableLogging();
-			SigmaEnvironment sigma = SigmaEnvironment.Create("Sigma-MNIST");
+        private static void Main()
+        {
+            SigmaEnvironment.EnableLogging();
+            SigmaEnvironment sigma = SigmaEnvironment.Create("Sigma-MNIST");
 
-			// create a new mnist trainer
-			ITrainer trainer = CreateIrisTrainer(sigma);
+            // create a new mnist trainer
+            ITrainer trainer = CreateIrisTrainer(sigma);
 
-			trainer.AddLocalHook(new MetricProcessorHook<INDArray>("network.layers.*.weights", (a, h) => h.Divide(h.Sum(a), a.Length), "shared.network_weights_average"));
-			trainer.AddLocalHook(new MetricProcessorHook<INDArray>("network.layers.*.weights", (a, h) => h.StandardDeviation(a), "shared.network_weights_stddev"));
-			trainer.AddLocalHook(new MetricProcessorHook<INDArray>("optimiser.updates", (a, h) => h.Divide(h.Sum(a), a.Length), "shared.optimiser_updates_average"));
+            trainer.AddLocalHook(new MetricProcessorHook<INDArray>("network.layers.*.weights", (a, h) => h.Divide(h.Sum(a), a.Length), "shared.network_weights_average"));
+            trainer.AddLocalHook(new MetricProcessorHook<INDArray>("network.layers.*.weights", (a, h) => h.StandardDeviation(a), "shared.network_weights_stddev"));
+            trainer.AddLocalHook(new MetricProcessorHook<INDArray>("network.layers.*.biases", (a, h) => h.Divide(h.Sum(a), a.Length), "shared.network_biases_average"));
+            trainer.AddLocalHook(new MetricProcessorHook<INDArray>("network.layers.*.biases", (a, h) => h.StandardDeviation(a), "shared.network_biases_stddev"));
+            trainer.AddLocalHook(new MetricProcessorHook<INDArray>("optimiser.updates", (a, h) => h.Divide(h.Sum(a), a.Length), "shared.optimiser_updates_average"));
+            trainer.AddLocalHook(new MetricProcessorHook<INDArray>("optimiser.updates", (a, h) => h.StandardDeviation(a), "shared.optimiser_updates_stddev"));
 
-			// for the UI we have to activate more features
-			if (UI)
-			{
-				// create and attach a new UI framework
-				WPFMonitor gui = sigma.AddMonitor(new WPFMonitor("MNIST"));
+            // for the UI we have to activate more features
+            if (UI)
+            {
+                // create and attach a new UI framework
+                WPFMonitor gui = sigma.AddMonitor(new WPFMonitor("MNIST"));
 
-				StatusBarLegendInfo iris = new StatusBarLegendInfo("IRIS", MaterialColour.Blue);
-				StatusBarLegendInfo general = new StatusBarLegendInfo("General", MaterialColour.Yellow);
-				gui.AddLegend(iris);
-				gui.AddLegend(general);
+                StatusBarLegendInfo iris = new StatusBarLegendInfo("IRIS", MaterialColour.Blue);
+                StatusBarLegendInfo general = new StatusBarLegendInfo("General", MaterialColour.Yellow);
+                gui.AddLegend(iris);
+                gui.AddLegend(general);
 
-				// create a tab
-				gui.AddTabs("Overview");
+                // create a tab
+                gui.AddTabs("Overview", "Metrics", "Validation");
 
-				// access the window inside the ui thread
-				gui.WindowDispatcher(window =>
-				{
-					// enable initialisation
-					window.IsInitializing = true;
+                // access the window inside the ui thread
+                gui.WindowDispatcher(window =>
+                {
+                    // enable initialisation
+                    window.IsInitializing = true;
 
-					window.TabControl["Overview"].GridSize.Rows -= 1;
-					window.TabControl["Overview"].GridSize.Columns -= 1;
+                    window.TabControl["Metrics"].GridSize = new GridSize(2, 4);
+                    window.TabControl["Validation"].GridSize = new GridSize(1, 2);
 
-					// add a panel that controls the learning process
-					window.TabControl["Overview"].AddCumulativePanel(new ControlPanel("Control", trainer), legend: iris);
+                    window.TabControl["Overview"].GridSize.Rows -= 1;
+                    window.TabControl["Overview"].GridSize.Columns -= 1;
 
-					// create an accuracy cost that updates every iteration
-					var cost = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Cost / Epoch", trainer, "optimiser.cost_total", TimeStep.Every(10, TimeScale.Epoch));
-					// improve the chart performance
-					cost.Fast();
+                    // add a panel that controls the learning process
+                    window.TabControl["Overview"].AddCumulativePanel(new ControlPanel("Control", trainer), legend: iris);
 
-					var weightAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Average of weights / Epoch", trainer, "shared.network_weights_average", TimeStep.Every(10, TimeScale.Epoch));
-					weightAverage.Fast();
+                    ITimeStep reportTimeStep = TimeStep.Every(10, TimeScale.Epoch);
 
-					var weightStddev = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Standard deviation of weights / Epoch", trainer, "shared.network_weights_stddev", TimeStep.Every(10, TimeScale.Epoch));
-					weightStddev.Fast();
+                    var cost = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Cost / Epoch", trainer, "optimiser.cost_total", reportTimeStep);
+                    cost.Fast();
 
-					var updateAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Average of parameter updates / Epoch", trainer, "shared.optimiser_updates_average", TimeStep.Every(10, TimeScale.Epoch));
-					updateAverage.Fast();
+                    var weightAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Mean of Weights / Epoch", trainer, "shared.network_weights_average", reportTimeStep, averageMode: true);
+                    weightAverage.Fast();
 
-					//var accuracy = new AccuracyPanel("Accuracy", trainer, null, 1, 2, 3);
-					//accuracy.Fast();
+                    var weightStddev = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Standard Deviation of Weights / Epoch", trainer, "shared.network_weights_stddev", reportTimeStep, averageMode: true);
+                    weightStddev.Fast();
 
-					IRegistry regTest = new Registry();
-					regTest.Add("test", DateTime.Now);
+                    var biasesAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Mean of Biases / Epoch", trainer, "shared.network_biases_average", reportTimeStep, averageMode: true);
+                    biasesAverage.Fast();
 
-					var parameter = new ParameterPanel("Parameters", sigma, window);
-					parameter.Add("Time", typeof(DateTime), regTest, "test");
+                    var biasesStddev = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Standard Deviation of Biases / Epoch", trainer, "shared.network_biases_stddev", reportTimeStep, averageMode: true);
+                    biasesStddev.Fast();
 
-					ValueSourceReporterHook valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Epoch), "optimiser.cost_total");
-					trainer.AddGlobalHook(valueHook);
-					sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
+                    var updateAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Mean of Parameter Updates / Epoch", trainer, "shared.optimiser_updates_average", reportTimeStep, averageMode: true);
+                    updateAverage.Fast();
 
-					valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Iteration), "iteration");
-					trainer.AddLocalHook(valueHook);
-					sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
+                    var updateStddev = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Standard Deviation of Parameter Updates / Epoch", trainer, "shared.optimiser_updates_stddev", reportTimeStep, averageMode: true);
+                    updateStddev.Fast();
 
-					var costBlock = (UserControlParameterVisualiser) parameter.Content.Add("Cost", typeof(double), trainer.Operator.Registry, "optimiser.cost_total");
-					costBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+                    var accuracy = new AccuracyPanel("Validation Accuracy", trainer, reportTimeStep, null, 1, 2);
+                    accuracy.Fast();
 
-					var learningBlock = (UserControlParameterVisualiser) parameter.Content.Add("Learning rate", typeof(double), trainer.Operator.Registry, "optimiser.learning_rate");
-					learningBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+                    IRegistry regTest = new Registry();
+                    regTest.Add("test", DateTime.Now);
 
+                    var parameter = new ParameterPanel("Parameters", sigma, window);
+                    parameter.Add("Time", typeof(DateTime), regTest, "test");
 
-					
+                    ValueSourceReporterHook valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Epoch), "optimiser.cost_total");
+                    trainer.AddGlobalHook(valueHook);
+                    sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
 
-					//trainer.AddGlobalHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
+                    valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Iteration), "iteration");
+                    trainer.AddLocalHook(valueHook);
+                    sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
 
-					//var heeBlock = new SigmaTimeBlock();
-					//heeBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
-					//parameter.Content.Add(new Label { Content = "Cost" }, heeBlock, null, "optimiser.cost_total");
+                    var costBlock = (UserControlParameterVisualiser)parameter.Content.Add("Cost", typeof(double), trainer.Operator.Registry, "optimiser.cost_total");
+                    costBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+
+                    var learningBlock = (UserControlParameterVisualiser)parameter.Content.Add("Learning rate", typeof(double), trainer.Operator.Registry, "optimiser.learning_rate");
+                    learningBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 
-					window.TabControl["Overview"].AddCumulativePanel(cost, 1, 1, iris);
-					window.TabControl["Overview"].AddCumulativePanel(updateAverage, 1, 1, iris);
-					window.TabControl["Overview"].AddCumulativePanel(parameter);
-					window.TabControl["Overview"].AddCumulativePanel(weightStddev, 1, 1, iris);
-					window.TabControl["Overview"].AddCumulativePanel(weightAverage, 1, 1, iris);
-					//window.TabControl["Overview"].AddCumulativePanel(accuracy);
+                    //trainer.AddGlobalHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
 
-					//window.TabControl["Overview"].AddCumulativePanel(new LogDataGridPanel("Log"), 1, 3, general);
+                    //var heeBlock = new SigmaTimeBlock();
+                    //heeBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+                    //parameter.Content.Add(new Label { Content = "Cost" }, heeBlock, null, "optimiser.cost_total");
 
-					// finish initialisation
-					window.IsInitializing = false;
-				});
+                    //window.TabControl["Overview"].AddCumulativePanel(cost, 1, 2, legend: iris);
+                    window.TabControl["Overview"].AddCumulativePanel(parameter);
+                    //window.TabControl["Overview"].AddCumulativePanel(accuracy, 1, 2, legend: iris);
 
-				// the operators should not run instantly but when the user clicks play
-				sigma.StartOperatorsOnRun = false;
-			}
+                    window.TabControl["Metrics"].AddCumulativePanel(cost, legend: iris);
+                    window.TabControl["Metrics"].AddCumulativePanel(weightAverage, legend: iris);
+                    window.TabControl["Metrics"].AddCumulativePanel(biasesAverage, legend: iris);
+                    window.TabControl["Metrics"].AddCumulativePanel(updateAverage, legend: iris);
+                    window.TabControl["Metrics"].AddCumulativePanel(accuracy, legend: iris);
+                    window.TabControl["Metrics"].AddCumulativePanel(weightStddev, legend: iris);
+                    window.TabControl["Metrics"].AddCumulativePanel(biasesStddev, legend: iris);
+                    window.TabControl["Metrics"].AddCumulativePanel(updateStddev, legend: iris);
+
+                    //window.TabControl["Overview"].AddCumulativePanel(new LogDataGridPanel("Log"), 1, 3, general);
 
-			sigma.Prepare();
+                    // finish initialisation
+                    window.IsInitializing = false;
+                });
 
-			sigma.Run();
-		}
+                // the operators should not run instantly but when the user clicks play
+                sigma.StartOperatorsOnRun = false;
+            }
 
-		private static ITrainer CreateIrisTrainer(SigmaEnvironment sigma)
-		{
-			var irisReader = new CsvRecordReader(new MultiSource(new FileSource("iris.data"), new UrlSource("http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data")));
-			IRecordExtractor irisExtractor = irisReader.Extractor("inputs", new[] { 0, 3 }, "targets", 4).AddValueMapping(4, "Iris-setosa", "Iris-versicolor", "Iris-virginica");
-			irisExtractor = irisExtractor.Preprocess(new OneHotPreprocessor(sectionName: "targets", minValue: 0, maxValue: 2));
-			irisExtractor = irisExtractor.Preprocess(new PerIndexNormalisingPreprocessor(0, 1, "inputs", 0, 4.3, 7.9, 1, 2.0, 4.4, 2, 1.0, 6.9, 3, 0.1, 2.5));
+            sigma.Prepare();
 
-			IDataset dataset = new Dataset("iris", Dataset.BlockSizeAuto, irisExtractor);
-			IDataset trainingDataset = dataset;
-			IDataset validationDataset = dataset;
+            sigma.Run();
+        }
 
-			ITrainer trainer = sigma.CreateTrainer("test");
+        private static ITrainer CreateIrisTrainer(SigmaEnvironment sigma)
+        {
+            var irisReader = new CsvRecordReader(new MultiSource(new FileSource("iris.data"), new UrlSource("http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data")));
+            IRecordExtractor irisExtractor = irisReader.Extractor("inputs", new[] { 0, 3 }, "targets", 4).AddValueMapping(4, "Iris-setosa", "Iris-versicolor", "Iris-virginica");
+            irisExtractor = irisExtractor.Preprocess(new OneHotPreprocessor(sectionName: "targets", minValue: 0, maxValue: 2));
+            irisExtractor = irisExtractor.Preprocess(new PerIndexNormalisingPreprocessor(0, 1, "inputs", 0, 4.3, 7.9, 1, 2.0, 4.4, 2, 1.0, 6.9, 3, 0.1, 2.5));
 
-			trainer.Network = new Network();
-			trainer.Network.Architecture = InputLayer.Construct(4)
-										   + FullyConnectedLayer.Construct(10)
-										   + FullyConnectedLayer.Construct(20)
-										   + FullyConnectedLayer.Construct(10)
-										   + FullyConnectedLayer.Construct(3)
-										   + OutputLayer.Construct(3)
-										   + SquaredDifferenceCostLayer.Construct();
-			trainer.TrainingDataIterator = new MinibatchIterator(4, trainingDataset);
-			trainer.AddNamedDataIterator("validation", new UndividedIterator(validationDataset));
-			trainer.Optimiser = new GradientDescentOptimiser(learningRate: 0.002);
-			trainer.Operator = new CpuSinglethreadedOperator();
+            IDataset dataset = new Dataset("iris", Dataset.BlockSizeAuto, irisExtractor);
+            IDataset trainingDataset = dataset;
+            IDataset validationDataset = dataset;
 
-			trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.4));
-			trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01, mean: 0.05));
+            ITrainer trainer = sigma.CreateTrainer("test");
 
-			trainer.AddHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch)));
-			trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));
-			trainer.AddLocalHook(new CurrentEpochIterationReporter(TimeStep.Every(1, TimeScale.Epoch)));
+            trainer.Network = new Network();
+            trainer.Network.Architecture = InputLayer.Construct(4)
+                                           + FullyConnectedLayer.Construct(10)
+                                           + FullyConnectedLayer.Construct(20)
+                                           + FullyConnectedLayer.Construct(10)
+                                           + FullyConnectedLayer.Construct(3)
+                                           + OutputLayer.Construct(3)
+                                           + SquaredDifferenceCostLayer.Construct();
+            trainer.TrainingDataIterator = new MinibatchIterator(4, trainingDataset);
+            trainer.AddNamedDataIterator("validation", new UndividedIterator(validationDataset));
+            trainer.Optimiser = new GradientDescentOptimiser(learningRate: 0.002);
+            trainer.Operator = new CpuSinglethreadedOperator();
 
-			return trainer;
-		}
-
-		/// <summary>
-		/// Create a MNIST trainer (writing recognition) will be added to an environemnt.
-		/// </summary>
-		/// <param name="sigma">The sigma environemnt this trainer will be assigned to.</param>
-		/// <returns>The newly created trainer.</returns>
-		private static ITrainer CreateMnistTrainer(SigmaEnvironment sigma)
-		{
-			ByteRecordReader mnistImageReader = new ByteRecordReader(headerLengthBytes: 16, recordSizeBytes: 28 * 28, source: new CompressedSource(new MultiSource(new FileSource("train-images-idx3-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz"))));
-			IRecordExtractor mnistImageExtractor = mnistImageReader.Extractor("inputs", new[] { 0L, 0L }, new[] { 28L, 28L }).Preprocess(new NormalisingPreprocessor(0, 255));
-
-			ByteRecordReader mnistTargetReader = new ByteRecordReader(headerLengthBytes: 8, recordSizeBytes: 1, source: new CompressedSource(new MultiSource(new FileSource("train-labels-idx1-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"))));
-			IRecordExtractor mnistTargetExtractor = mnistTargetReader.Extractor("targets", new[] { 0L }, new[] { 1L }).Preprocess(new OneHotPreprocessor(minValue: 0, maxValue: 9));
-
-			IDataset dataset = new Dataset("mnist-training", Dataset.BlockSizeAuto, mnistImageExtractor, mnistTargetExtractor);
-			ITrainer trainer = sigma.CreateTrainer("test");
-
-			trainer.Network = new Network
-			{
-				Architecture = InputLayer.Construct(28, 28)
-				+ 2 * FullyConnectedLayer.Construct(28 * 28)
-				+ FullyConnectedLayer.Construct(10)
-				+ OutputLayer.Construct(10)
-				+ SoftMaxCrossEntropyCostLayer.Construct()
-			};
-
-			trainer.TrainingDataIterator = new MinibatchIterator(8, dataset);
-			trainer.Optimiser = new AdagradOptimiser(baseLearningRate: 0.02);
-			trainer.Operator = new CpuSinglethreadedOperator();
-
-			trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.05f));
-			trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01f, mean: 0.03f));
-
-			trainer.AddGlobalHook(new CurrentEpochIterationReporter(TimeStep.Every(1, TimeScale.Iteration)));
-
-			return trainer;
-		}
-	}
+            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.4));
+            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01, mean: 0.05));
+
+            trainer.AddValueModifier("network.layers.*.weights", new ClipValueModifier());
+            trainer.AddValueModifier("network.layers.*.bias*", new ClipValueModifier());
+
+            trainer.AddHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch)));
+            trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));
+            trainer.AddLocalHook(new CurrentEpochIterationReporter(TimeStep.Every(1, TimeScale.Epoch)));
+
+            return trainer;
+        }
+
+        /// <summary>
+        /// Create a MNIST trainer (writing recognition) will be added to an environemnt.
+        /// </summary>
+        /// <param name="sigma">The sigma environemnt this trainer will be assigned to.</param>
+        /// <returns>The newly created trainer.</returns>
+        private static ITrainer CreateMnistTrainer(SigmaEnvironment sigma)
+        {
+            ByteRecordReader mnistImageReader = new ByteRecordReader(headerLengthBytes: 16, recordSizeBytes: 28 * 28, source: new CompressedSource(new MultiSource(new FileSource("train-images-idx3-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz"))));
+            IRecordExtractor mnistImageExtractor = mnistImageReader.Extractor("inputs", new[] { 0L, 0L }, new[] { 28L, 28L }).Preprocess(new NormalisingPreprocessor(0, 255));
+
+            ByteRecordReader mnistTargetReader = new ByteRecordReader(headerLengthBytes: 8, recordSizeBytes: 1, source: new CompressedSource(new MultiSource(new FileSource("train-labels-idx1-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"))));
+            IRecordExtractor mnistTargetExtractor = mnistTargetReader.Extractor("targets", new[] { 0L }, new[] { 1L }).Preprocess(new OneHotPreprocessor(minValue: 0, maxValue: 9));
+
+            IDataset dataset = new Dataset("mnist-training", Dataset.BlockSizeAuto, mnistImageExtractor, mnistTargetExtractor);
+            ITrainer trainer = sigma.CreateTrainer("test");
+
+            trainer.Network = new Network
+            {
+                Architecture = InputLayer.Construct(28, 28)
+                + 2 * FullyConnectedLayer.Construct(28 * 28)
+                + FullyConnectedLayer.Construct(10)
+                + OutputLayer.Construct(10)
+                + SoftMaxCrossEntropyCostLayer.Construct()
+            };
+
+            trainer.TrainingDataIterator = new MinibatchIterator(8, dataset);
+            trainer.Optimiser = new AdagradOptimiser(baseLearningRate: 0.02);
+            trainer.Operator = new CpuSinglethreadedOperator();
+
+            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.05f));
+            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01f, mean: 0.03f));
+
+            trainer.AddGlobalHook(new CurrentEpochIterationReporter(TimeStep.Every(1, TimeScale.Iteration)));
+
+            return trainer;
+        }
+    }
 }

From 890cc68b59bfefa5cd8756a294dbe90616e89a7b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Thu, 20 Apr 2017 21:38:27 +0200
Subject: [PATCH 34/40] Update internal mnist and iris demos

---
 Sigma.Tests.Internals.WPF/Program.cs | 213 ++++++++++++++-------------
 1 file changed, 107 insertions(+), 106 deletions(-)

diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index 0364ff3f..2cc34edd 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -28,7 +28,12 @@
 using Sigma.Core.Training.Optimisers.Gradient.Memory;
 using Sigma.Core.Utils;
 using System;
+using System.Threading;
+using Sigma.Core.Data.Preprocessors.Adaptive;
 using Sigma.Core.Monitors.WPF.Model.UI.Windows;
+using Sigma.Core.Training.Hooks;
+using Sigma.Core.Training.Hooks.Saviors;
+using Sigma.Core.Training.Hooks.Stoppers;
 using Sigma.Core.Training.Modifiers;
 
 namespace Sigma.Tests.Internals.WPF
@@ -36,15 +41,16 @@ namespace Sigma.Tests.Internals.WPF
 
     internal class Program
     {
-        private const bool UI = true;
+        private const bool SampleMnist = true;
 
         private static void Main()
         {
             SigmaEnvironment.EnableLogging();
-            SigmaEnvironment sigma = SigmaEnvironment.Create("Sigma-MNIST");
+            SigmaEnvironment sigma = SigmaEnvironment.Create("sigma_demo");
 
             // create a new mnist trainer
-            ITrainer trainer = CreateIrisTrainer(sigma);
+            string name = SampleMnist ? "MNIST" : "IRIS";
+            ITrainer trainer = SampleMnist ? CreateMnistTrainer(sigma) : CreateIrisTrainer(sigma);
 
             trainer.AddLocalHook(new MetricProcessorHook<INDArray>("network.layers.*.weights", (a, h) => h.Divide(h.Sum(a), a.Length), "shared.network_weights_average"));
             trainer.AddLocalHook(new MetricProcessorHook<INDArray>("network.layers.*.weights", (a, h) => h.StandardDeviation(a), "shared.network_weights_stddev"));
@@ -53,105 +59,109 @@ private static void Main()
             trainer.AddLocalHook(new MetricProcessorHook<INDArray>("optimiser.updates", (a, h) => h.Divide(h.Sum(a), a.Length), "shared.optimiser_updates_average"));
             trainer.AddLocalHook(new MetricProcessorHook<INDArray>("optimiser.updates", (a, h) => h.StandardDeviation(a), "shared.optimiser_updates_stddev"));
 
-            // for the UI we have to activate more features
-            if (UI)
-            {
-                // create and attach a new UI framework
-                WPFMonitor gui = sigma.AddMonitor(new WPFMonitor("MNIST"));
+            // create and attach a new UI framework
+            WPFMonitor gui = sigma.AddMonitor(new WPFMonitor(name, SampleMnist ? "de-DE" : "en-EN"));
+            gui.ColourManager.Dark = !SampleMnist;
 
-                StatusBarLegendInfo iris = new StatusBarLegendInfo("IRIS", MaterialColour.Blue);
-                StatusBarLegendInfo general = new StatusBarLegendInfo("General", MaterialColour.Yellow);
-                gui.AddLegend(iris);
-                gui.AddLegend(general);
+            StatusBarLegendInfo iris = new StatusBarLegendInfo(name, MaterialColour.Blue);
+            StatusBarLegendInfo general = new StatusBarLegendInfo("General", MaterialColour.Grey);
+            gui.AddLegend(iris);
+            gui.AddLegend(general);
 
-                // create a tab
-                gui.AddTabs("Overview", "Metrics", "Validation");
+            // create a tab
+            gui.AddTabs("Overview", "Metrics", "Validation");
 
-                // access the window inside the ui thread
-                gui.WindowDispatcher(window =>
-                {
-                    // enable initialisation
-                    window.IsInitializing = true;
+            // access the window inside the ui thread
+            gui.WindowDispatcher(window =>
+            {
+                // enable initialisation
+                window.IsInitializing = true;
 
-                    window.TabControl["Metrics"].GridSize = new GridSize(2, 4);
-                    window.TabControl["Validation"].GridSize = new GridSize(1, 2);
+                window.TabControl["Metrics"].GridSize = new GridSize(2, 4);
+                window.TabControl["Validation"].GridSize = new GridSize(1, 2);
 
-                    window.TabControl["Overview"].GridSize.Rows -= 1;
-                    window.TabControl["Overview"].GridSize.Columns -= 1;
+                window.TabControl["Overview"].GridSize.Rows -= 1;
+                window.TabControl["Overview"].GridSize.Columns -= 1;
 
-                    // add a panel that controls the learning process
-                    window.TabControl["Overview"].AddCumulativePanel(new ControlPanel("Control", trainer), legend: iris);
+                // add a panel that controls the learning process
+                window.TabControl["Overview"].AddCumulativePanel(new ControlPanel("Control", trainer), legend: iris);
 
-                    ITimeStep reportTimeStep = TimeStep.Every(10, TimeScale.Epoch);
+                ITimeStep reportTimeStep = SampleMnist ? TimeStep.Every(1, TimeScale.Iteration) : TimeStep.Every(10, TimeScale.Epoch);
 
-                    var cost = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Cost / Epoch", trainer, "optimiser.cost_total", reportTimeStep);
-                    cost.Fast();
+                var cost1 = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Cost / Epoch", trainer, "optimiser.cost_total", reportTimeStep);
+                cost1.Fast();
+                //var cost2 = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Cost / Epoch", trainer, "optimiser.cost_total", reportTimeStep);
+                //cost2.Fast();
 
-                    var weightAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Mean of Weights / Epoch", trainer, "shared.network_weights_average", reportTimeStep, averageMode: true);
-                    weightAverage.Fast();
+                var weightAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Mean of Weights / Epoch", trainer, "shared.network_weights_average", reportTimeStep, averageMode: true);
+                weightAverage.Fast();
 
-                    var weightStddev = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Standard Deviation of Weights / Epoch", trainer, "shared.network_weights_stddev", reportTimeStep, averageMode: true);
-                    weightStddev.Fast();
+                var weightStddev = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Standard Deviation of Weights / Epoch", trainer, "shared.network_weights_stddev", reportTimeStep, averageMode: true);
+                weightStddev.Fast();
 
-                    var biasesAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Mean of Biases / Epoch", trainer, "shared.network_biases_average", reportTimeStep, averageMode: true);
-                    biasesAverage.Fast();
+                var biasesAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Mean of Biases / Epoch", trainer, "shared.network_biases_average", reportTimeStep, averageMode: true);
+                biasesAverage.Fast();
 
-                    var biasesStddev = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Standard Deviation of Biases / Epoch", trainer, "shared.network_biases_stddev", reportTimeStep, averageMode: true);
-                    biasesStddev.Fast();
+                var biasesStddev = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Standard Deviation of Biases / Epoch", trainer, "shared.network_biases_stddev", reportTimeStep, averageMode: true);
+                biasesStddev.Fast();
 
-                    var updateAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Mean of Parameter Updates / Epoch", trainer, "shared.optimiser_updates_average", reportTimeStep, averageMode: true);
-                    updateAverage.Fast();
+                var updateAverage = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Mean of Parameter Updates / Epoch", trainer, "shared.optimiser_updates_average", reportTimeStep, averageMode: true);
+                updateAverage.Fast();
 
-                    var updateStddev = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Standard Deviation of Parameter Updates / Epoch", trainer, "shared.optimiser_updates_stddev", reportTimeStep, averageMode: true);
-                    updateStddev.Fast();
+                var updateStddev = new TrainerChartPanel<CartesianChart, LineSeries, TickChartValues<double>, double>("Standard Deviation of Parameter Updates / Epoch", trainer, "shared.optimiser_updates_stddev", reportTimeStep, averageMode: true);
+                updateStddev.Fast();
 
-                    var accuracy = new AccuracyPanel("Validation Accuracy", trainer, reportTimeStep, null, 1, 2);
-                    accuracy.Fast();
+                var accuracy1 = new AccuracyPanel("Validation Accuracy", trainer, SampleMnist ? TimeStep.Every(1, TimeScale.Epoch) : reportTimeStep, null, 1, 2);
+                accuracy1.Fast();
+                var accuracy2 = new AccuracyPanel("Validation Accuracy", trainer, SampleMnist ? TimeStep.Every(1, TimeScale.Epoch) : reportTimeStep, null, 1, 2);
+                accuracy2.Fast();
 
-                    IRegistry regTest = new Registry();
-                    regTest.Add("test", DateTime.Now);
-					
-                    var parameter = new ParameterPanel("Parameters", sigma, window);
-                    parameter.Add("Time", typeof(DateTime), regTest, "test");
+                IRegistry regTest = new Registry();
+                regTest.Add("test", DateTime.Now);
 
-                    ValueSourceReporterHook valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Epoch), "optimiser.cost_total");
-                    trainer.AddGlobalHook(valueHook);
-                    sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
+                var parameter = new ParameterPanel("Parameters", sigma, window);
+                parameter.Add("Time", typeof(DateTime), regTest, "test");
 
-                    var costBlock = (UserControlParameterVisualiser)parameter.Content.Add("Cost", typeof(double), trainer.Operator.Registry, "optimiser.cost_total");
-                    costBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+                ValueSourceReporterHook valueHook = new ValueSourceReporterHook(TimeStep.Every(1, TimeScale.Epoch), "optimiser.cost_total");
+                trainer.AddGlobalHook(valueHook);
+                sigma.SynchronisationHandler.AddSynchronisationSource(valueHook);
 
-                    var learningBlock = (UserControlParameterVisualiser)parameter.Content.Add("Learning rate", typeof(double), trainer.Operator.Registry, "optimiser.learning_rate");
-                    learningBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+                var costBlock = (UserControlParameterVisualiser) parameter.Content.Add("Cost", typeof(double), trainer.Operator.Registry, "optimiser.cost_total");
+                costBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 
-                    //trainer.AddGlobalHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
+                var learningBlock = (UserControlParameterVisualiser) parameter.Content.Add("Learning rate", typeof(double), trainer.Operator.Registry, "optimiser.learning_rate");
+                learningBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
 
-                    //var heeBlock = new SigmaTimeBlock();
-                    //heeBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
-                    //parameter.Content.Add(new Label { Content = "Cost" }, heeBlock, null, "optimiser.cost_total");
+                //trainer.AddGlobalHook(new RunningTimeReporter(TimeStep.Every(1, TimeScale.Epoch)));
 
-                    //window.TabControl["Overview"].AddCumulativePanel(cost, 1, 2, legend: iris);
-                    window.TabControl["Overview"].AddCumulativePanel(parameter);
-                    //window.TabControl["Overview"].AddCumulativePanel(accuracy, 1, 2, legend: iris);
+                //var heeBlock = new SigmaTimeBlock();
+                //heeBlock.AutoPollValues(trainer, TimeStep.Every(1, TimeScale.Epoch));
+                //parameter.Content.Add(new Label { Content = "Cost" }, heeBlock, null, "optimiser.cost_total");
 
-                    window.TabControl["Metrics"].AddCumulativePanel(cost, legend: iris);
-                    window.TabControl["Metrics"].AddCumulativePanel(weightAverage, legend: iris);
-                    window.TabControl["Metrics"].AddCumulativePanel(biasesAverage, legend: iris);
-                    window.TabControl["Metrics"].AddCumulativePanel(updateAverage, legend: iris);
-                    window.TabControl["Metrics"].AddCumulativePanel(accuracy, legend: iris);
-                    window.TabControl["Metrics"].AddCumulativePanel(weightStddev, legend: iris);
-                    window.TabControl["Metrics"].AddCumulativePanel(biasesStddev, legend: iris);
-                    window.TabControl["Metrics"].AddCumulativePanel(updateStddev, legend: iris);
+                window.TabControl["Overview"].AddCumulativePanel(cost1, 1, 2, legend: iris);
+                window.TabControl["Overview"].AddCumulativePanel(parameter);
+                window.TabControl["Overview"].AddCumulativePanel(accuracy1, 1, 2, legend: iris);
 
-                    //window.TabControl["Overview"].AddCumulativePanel(new LogDataGridPanel("Log"), 1, 3, general);
+                //window.TabControl["Metrics"].AddCumulativePanel(cost2, legend: iris);
+                window.TabControl["Metrics"].AddCumulativePanel(weightAverage, legend: iris);
+                window.TabControl["Metrics"].AddCumulativePanel(biasesAverage, legend: iris);
+                window.TabControl["Metrics"].AddCumulativePanel(updateAverage, legend: iris);
+                window.TabControl["Metrics"].AddCumulativePanel(accuracy2, legend: iris);
+                window.TabControl["Metrics"].AddCumulativePanel(weightStddev, legend: iris);
+                window.TabControl["Metrics"].AddCumulativePanel(biasesStddev, legend: iris);
+                window.TabControl["Metrics"].AddCumulativePanel(updateStddev, legend: iris);
+
+                if (SampleMnist)
+                {
+                    // TODO validation panel
+                }
 
-                    // finish initialisation
-                    window.IsInitializing = false;
-                });
+                // finish initialisation
+                window.IsInitializing = false;
+            });
 
-                // the operators should not run instantly but when the user clicks play
-                sigma.StartOperatorsOnRun = false;
-            }
+            // the operators should not run instantly but when the user clicks play
+            sigma.StartOperatorsOnRun = false;
 
             sigma.Prepare();
 
@@ -161,38 +171,30 @@ private static void Main()
         private static ITrainer CreateIrisTrainer(SigmaEnvironment sigma)
         {
             var irisReader = new CsvRecordReader(new MultiSource(new FileSource("iris.data"), new UrlSource("http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data")));
-            IRecordExtractor irisExtractor = irisReader.Extractor("inputs", new[] { 0, 3 }, "targets", 4).AddValueMapping(4, "Iris-setosa", "Iris-versicolor", "Iris-virginica");
-            irisExtractor = irisExtractor.Preprocess(new OneHotPreprocessor(sectionName: "targets", minValue: 0, maxValue: 2));
-            irisExtractor = irisExtractor.Preprocess(new PerIndexNormalisingPreprocessor(0, 1, "inputs", 0, 4.3, 7.9, 1, 2.0, 4.4, 2, 1.0, 6.9, 3, 0.1, 2.5));
+            IRecordExtractor irisExtractor = irisReader.Extractor("inputs", new[] { 0, 3 }, "targets", 4).AddValueMapping(4, "Iris-setosa", "Iris-versicolor", "Iris-virginica")
+                .Preprocess(new OneHotPreprocessor("targets", minValue: 0, maxValue: 2))
+                .Preprocess(new AdaptiveNormalisingPreprocessor(minOutputValue: 0.0, maxOutputValue: 1.0))
+                .Preprocess(new ShufflePreprocessor());
 
-            IDataset dataset = new Dataset("iris", Dataset.BlockSizeAuto, irisExtractor);
-            IDataset trainingDataset = dataset;
-            IDataset validationDataset = dataset;
+            IDataset dataset = new Dataset("iris", Dataset.BlockSizeAuto, false, irisExtractor);
 
             ITrainer trainer = sigma.CreateTrainer("test");
 
             trainer.Network = new Network();
             trainer.Network.Architecture = InputLayer.Construct(4)
-                                           + FullyConnectedLayer.Construct(10)
-                                           + FullyConnectedLayer.Construct(20)
-                                           + FullyConnectedLayer.Construct(10)
+                                           + FullyConnectedLayer.Construct(4)
+                                           + FullyConnectedLayer.Construct(24)
                                            + FullyConnectedLayer.Construct(3)
                                            + OutputLayer.Construct(3)
-                                           + SquaredDifferenceCostLayer.Construct();
-            trainer.TrainingDataIterator = new MinibatchIterator(4, trainingDataset);
-            trainer.AddNamedDataIterator("validation", new UndividedIterator(validationDataset));
-            trainer.Optimiser = new GradientDescentOptimiser(learningRate: 0.002);
-            trainer.Operator = new CpuSinglethreadedOperator();
-
-            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.4));
-            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01, mean: 0.05));
+                                           + SoftMaxCrossEntropyCostLayer.Construct();
 
-            trainer.AddValueModifier("network.layers.*.weights", new ClipValueModifier());
-            trainer.AddValueModifier("network.layers.*.bias*", new ClipValueModifier());
+            trainer.TrainingDataIterator = new MinibatchIterator(10, dataset);
+            trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
+            trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.9);
+            trainer.Operator = new CpuSinglethreadedOperator();
 
-            trainer.AddHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch)));
-            trainer.AddHook(new ValidationAccuracyReporter("validation", TimeStep.Every(1, TimeScale.Epoch), tops: 1));
-            trainer.AddLocalHook(new CurrentEpochIterationReporter(TimeStep.Every(1, TimeScale.Epoch)));
+            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.3));
+            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.1));
 
             return trainer;
         }
@@ -210,26 +212,25 @@ private static ITrainer CreateMnistTrainer(SigmaEnvironment sigma)
             ByteRecordReader mnistTargetReader = new ByteRecordReader(headerLengthBytes: 8, recordSizeBytes: 1, source: new CompressedSource(new MultiSource(new FileSource("train-labels-idx1-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"))));
             IRecordExtractor mnistTargetExtractor = mnistTargetReader.Extractor("targets", new[] { 0L }, new[] { 1L }).Preprocess(new OneHotPreprocessor(minValue: 0, maxValue: 9));
 
-            IDataset dataset = new Dataset("mnist-training", Dataset.BlockSizeAuto, mnistImageExtractor, mnistTargetExtractor);
+            IDataset dataset = new Dataset("mnist", Dataset.BlockSizeAuto, false, mnistImageExtractor, mnistTargetExtractor);
             ITrainer trainer = sigma.CreateTrainer("test");
 
             trainer.Network = new Network
             {
                 Architecture = InputLayer.Construct(28, 28)
-                + 2 * FullyConnectedLayer.Construct(28 * 28)
+                + FullyConnectedLayer.Construct(28 * 28)
                 + FullyConnectedLayer.Construct(10)
                 + OutputLayer.Construct(10)
                 + SoftMaxCrossEntropyCostLayer.Construct()
             };
 
-            trainer.TrainingDataIterator = new MinibatchIterator(8, dataset);
-            trainer.Optimiser = new AdagradOptimiser(baseLearningRate: 0.02);
+            trainer.TrainingDataIterator = new MinibatchIterator(100, dataset);
+            trainer.AddNamedDataIterator("validation", new UndividedIterator(dataset));
+            trainer.Optimiser = new AdadeltaOptimiser(decayRate: 0.9);
             trainer.Operator = new CpuSinglethreadedOperator();
 
-            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.05f));
-            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.01f, mean: 0.03f));
-
-            trainer.AddGlobalHook(new CurrentEpochIterationReporter(TimeStep.Every(1, TimeScale.Iteration)));
+            trainer.AddInitialiser("*.weights", new GaussianInitialiser(standardDeviation: 0.1f));
+            trainer.AddInitialiser("*.bias*", new GaussianInitialiser(standardDeviation: 0.1f, mean: 0.03f));
 
             return trainer;
         }

From fd33bc9821c0e6ac8adb91bb0eab5ec6fc466aa0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Sun, 23 Apr 2017 21:02:06 +0200
Subject: [PATCH 35/40] Add partial RawDataset, refactor original Dataset to
 ExtractedDataset

---
 .../Data/Datasets/DatasetBlockwiseSlice.cs    |   4 +-
 .../Data/Datasets/DatasetRecordwiseSlice.cs   |   4 +-
 .../{Dataset.cs => ExtractedDataset.cs}       |  10 +-
 Sigma.Core/Data/Datasets/RawDataset.cs        | 230 ++++++++++++++++++
 Sigma.Core/Sigma.Core.csproj                  |   3 +-
 Sigma.Core/Utils/ArrayUtils.cs                |  19 ++
 Sigma.Tests.Internals.Backend/Program.cs      |   8 +-
 Sigma.Tests.Internals.WPF/Program.cs          |   4 +-
 .../Datasets/TestDatasetBlockwiseSlice.cs     |   4 +-
 .../Datasets/TestDatasetRecordwiseSlice.cs    |   4 +-
 ...TestDataset.cs => TestExtractedDataset.cs} |  30 +--
 .../Data/Iterators/TestMinibatchIterator.cs   |   4 +-
 .../Data/Iterators/TestUndividedIterator.cs   |   4 +-
 .../Data/Iterators/TestUnifiedIterator.cs     |   2 +-
 Sigma.Tests/Sigma.Tests.csproj                |   2 +-
 Sigma.Tests/Training/MockTrainer.cs           |   2 +-
 16 files changed, 292 insertions(+), 42 deletions(-)
 rename Sigma.Core/Data/Datasets/{Dataset.cs => ExtractedDataset.cs} (98%)
 create mode 100644 Sigma.Core/Data/Datasets/RawDataset.cs
 rename Sigma.Tests/Data/Datasets/{TestDataset.cs => TestExtractedDataset.cs} (80%)

diff --git a/Sigma.Core/Data/Datasets/DatasetBlockwiseSlice.cs b/Sigma.Core/Data/Datasets/DatasetBlockwiseSlice.cs
index 22797aa7..f2643b5c 100644
--- a/Sigma.Core/Data/Datasets/DatasetBlockwiseSlice.cs
+++ b/Sigma.Core/Data/Datasets/DatasetBlockwiseSlice.cs
@@ -112,12 +112,12 @@ protected int MapToUnderlyingIndex(int blockIndex)
 
 		public IDataset[] SplitBlockwise(params int[] parts)
 		{
-			return Dataset.SplitBlockwise(this, parts);
+			return ExtractedDataset.SplitBlockwise(this, parts);
 		}
 
 		public IDataset[] SplitRecordwise(params double[] parts)
 		{
-			return Dataset.SplitRecordwise(this, parts);
+			return ExtractedDataset.SplitRecordwise(this, parts);
 		}
 
 		public bool TrySetBlockSize(int blockSizeRecords)
diff --git a/Sigma.Core/Data/Datasets/DatasetRecordwiseSlice.cs b/Sigma.Core/Data/Datasets/DatasetRecordwiseSlice.cs
index baf2fe84..d4659f71 100644
--- a/Sigma.Core/Data/Datasets/DatasetRecordwiseSlice.cs
+++ b/Sigma.Core/Data/Datasets/DatasetRecordwiseSlice.cs
@@ -89,12 +89,12 @@ public DatasetRecordwiseSlice(IDataset underlyingDataset, double shareOffset, do
 
 		public IDataset[] SplitBlockwise(params int[] parts)
 		{
-			return Dataset.SplitBlockwise(this, parts);
+			return ExtractedDataset.SplitBlockwise(this, parts);
 		}
 
 		public IDataset[] SplitRecordwise(params double[] parts)
 		{
-			return Dataset.SplitRecordwise(this, parts);
+			return ExtractedDataset.SplitRecordwise(this, parts);
 		}
 
 		public bool TrySetBlockSize(int blockSizeRecords)
diff --git a/Sigma.Core/Data/Datasets/Dataset.cs b/Sigma.Core/Data/Datasets/ExtractedDataset.cs
similarity index 98%
rename from Sigma.Core/Data/Datasets/Dataset.cs
rename to Sigma.Core/Data/Datasets/ExtractedDataset.cs
index ccd2a538..138846b0 100644
--- a/Sigma.Core/Data/Datasets/Dataset.cs
+++ b/Sigma.Core/Data/Datasets/ExtractedDataset.cs
@@ -26,7 +26,7 @@ namespace Sigma.Core.Data.Datasets
     /// Provides caching of entire blocks and reader data, partial extraction, unordered extraction, automatic block sizing, smart block loading. 
     /// </summary>
     [Serializable]
-    public class Dataset : IDataset, ISerialisationNotifier
+    public class ExtractedDataset : IDataset, ISerialisationNotifier
     {
         [NonSerialized]
         private readonly ILog _logger = LogManager.GetLogger(System.Reflection.MethodBase.GetCurrentMethod().DeclaringType);
@@ -112,7 +112,7 @@ public class Dataset : IDataset, ISerialisationNotifier
         /// </summary>
         /// <param name="name">The unique dataset name.</param>
         /// <param name="recordExtractors">The record extractors to fetch the data from, which provide the dataset with ready to use record blocks.</param>
-        public Dataset(string name, params IRecordExtractor[] recordExtractors) : this(name, BlockSizeAuto, recordExtractors)
+        public ExtractedDataset(string name, params IRecordExtractor[] recordExtractors) : this(name, BlockSizeAuto, recordExtractors)
         {
         }
 
@@ -122,7 +122,7 @@ public Dataset(string name, params IRecordExtractor[] recordExtractors) : this(n
         /// <param name="name">The unique dataset name.</param>
         /// <param name="blockSizeRecords">The target block size for records. May also be <see cref="BlockSizeAuto"/> or <see cref="BlockSizeAll"/>.</param>
         /// <param name="recordExtractors">The record extractors to fetch the data from, which provide the dataset with ready to use record blocks.</param>
-        public Dataset(string name, int blockSizeRecords, params IRecordExtractor[] recordExtractors)
+        public ExtractedDataset(string name, int blockSizeRecords, params IRecordExtractor[] recordExtractors)
             : this(name, blockSizeRecords, true, recordExtractors)
         {
         }
@@ -134,7 +134,7 @@ public Dataset(string name, int blockSizeRecords, params IRecordExtractor[] reco
         /// <param name="blockSizeRecords">The target block size for records. May also be <see cref="BlockSizeAuto"/> or <see cref="BlockSizeAll"/>.</param>
         /// <param name="flushCache">Indicate whether the cache provider should be flushed (cleared) before use. Only disable if block size and extractors used do not change (otherwise undefined behaviour).</param>
         /// <param name="recordExtractors">The record extractors to fetch the data from, which provide the dataset with ready to use record blocks.</param>
-        public Dataset(string name, int blockSizeRecords, bool flushCache, params IRecordExtractor[] recordExtractors)
+        public ExtractedDataset(string name, int blockSizeRecords, bool flushCache, params IRecordExtractor[] recordExtractors)
             : this(name, blockSizeRecords, new DiskCacheProvider(SigmaEnvironment.Globals.Get<string>("cache_path") + name), true, recordExtractors)
         {
         }
@@ -147,7 +147,7 @@ public Dataset(string name, int blockSizeRecords, bool flushCache, params IRecor
         /// <param name="cacheProvider">The cache provider to use for caching record blocks and raw reader data.</param>
         /// <param name="flushCache">Indicate whether the cache provider should be flushed (cleared) before use. Only disable if block size and extractors used do not change (otherwise undefined behaviour).</param>
         /// <param name="recordExtractors">The record extractors to fetch the data from, which provide the dataset with ready to use record blocks.</param>
-        public Dataset(string name, int blockSizeRecords, ICacheProvider cacheProvider, bool flushCache = true, params IRecordExtractor[] recordExtractors)
+        public ExtractedDataset(string name, int blockSizeRecords, ICacheProvider cacheProvider, bool flushCache = true, params IRecordExtractor[] recordExtractors)
         {
             if (name == null)
             {
diff --git a/Sigma.Core/Data/Datasets/RawDataset.cs b/Sigma.Core/Data/Datasets/RawDataset.cs
new file mode 100644
index 00000000..c281ada4
--- /dev/null
+++ b/Sigma.Core/Data/Datasets/RawDataset.cs
@@ -0,0 +1,230 @@
+/*
+MIT License
+
+Copyright(c) 2016-2017 Florian Cäsar, Michael Plainer
+
+For full license see LICENSE in the root directory of this project.
+*/
+
+
+using System;
+using System.Collections;
+using System.Collections.Concurrent;
+using System.Collections.Generic;
+using System.Threading.Tasks;
+using Sigma.Core.Handlers;
+using Sigma.Core.MathAbstract;
+using Sigma.Core.Utils;
+
+namespace Sigma.Core.Data.Datasets
+{
+    /// <summary>
+    /// A raw in-system-memory dataset which can be manually 
+    /// </summary>
+    public class RawDataset : IDataset
+    {
+        private readonly IComputationHandler _internalHandler;
+
+        /// <summary>
+        /// The name and identifier of this dataset.
+        /// Dataset names should be globally unique and easily identifiable. 
+        /// </summary>
+        public string Name { get; }
+
+        /// <summary>
+        /// Indicate if this dataset is an online dataset (meaning new data might be added during runtime).
+        /// By default, this is assumed to be false, indicating a static dataset.
+        /// Note: Data iterators and may perform certain optimisations for static datasets, so set this to false if possible.
+        /// </summary>
+        public bool Online { get; set; }
+
+        /// <summary>
+        /// The preferred per block size in records.
+        /// Note: Not every block must obey this request (e.g. the last black might very well be a different size).
+        /// </summary>
+        public int TargetBlockSizeRecords { get; }
+
+        /// <summary>
+        /// The maximum number of concurrently active blocks. 
+        /// </summary>
+        public int MaxConcurrentActiveBlocks { get; }
+
+        /// <summary>
+        /// The maximum total concurrently active block size in bytes.
+        /// </summary>
+        public long MaxTotalActiveBlockSizeBytes { get; }
+
+        /// <summary>
+        /// The total size of all currently active record blocks in system memory in bytes.
+        /// </summary>
+        public long TotalActiveBlockSizeBytes { get; }
+
+        /// <summary>
+        /// The maxmimum number of blocks to keep in the cache (inactive blocks are written to a cache, typically on disk, to be reloaded later).
+        /// </summary>
+        public int MaxBlocksInCache { get { throw new NotSupportedException(); } set { throw new NotSupportedException(); } }
+
+        /// <summary>
+        /// The maxmimum number of bytes to keep in the cache (inactive blocks are written to a cache, typically on disk, to be reloaded later).
+        /// </summary>
+        public long MaxBytesInCache { get { throw new NotSupportedException(); } set { throw new NotSupportedException(); } }
+
+        /// <summary>
+        /// The names for all sections present in this dataset (e.g. "inputs", "targets").
+        /// </summary>
+        public string[] SectionNames { get; }
+
+        /// <summary>
+        /// A set of currently active and loaded record block indices. 
+        /// </summary>
+        public IReadOnlyCollection<int> ActiveBlockIndices { get; }
+
+        /// <summary>
+        /// The number of currently active and loaded record blocks, with different block formats counting as different blocks. 
+        /// </summary>
+        public int ActiveIndividualBlockCount { get; }
+
+        /// <summary>
+        /// The number of currently active and loaded record blocks, with different block formats of the same region counting as one active block index.
+        /// </summary>
+        public int ActiveBlockRegionCount { get; }
+
+        /// <summary>
+        /// The current working data that can be edited and is "flushed" to the public raw data with the next <see cref="FetchBlock"/> call.
+        /// </summary>
+        private readonly IDictionary<string, INDArray> _internalWorkingData;
+
+        /// <summary>
+        /// The raw data of this dataset that is returned via the <see cref="FetchBlock"/> functions.
+        /// </summary>
+        private readonly IDictionary<IComputationHandler, IDictionary<string, INDArray>> _rawData;
+
+
+        /// <summary>
+        /// Create a raw dataset with a certain name and computation handler.
+        /// </summary>
+        /// <param name="name">The globally unique name of this dataset.</param>
+        /// <param name="internalHandler">The internal handler to use for data management.</param>
+        public RawDataset(string name, IComputationHandler internalHandler)
+        {
+            if (name == null) throw new ArgumentNullException(nameof(name));
+            if (internalHandler == null) throw new ArgumentNullException(nameof(internalHandler));
+
+            Name = name;
+            _internalHandler = internalHandler;
+
+            _internalWorkingData = new Dictionary<string, INDArray>();
+            _rawData = new ConcurrentDictionary<IComputationHandler, IDictionary<string, INDArray>>();
+        }
+
+        public void AddRecord<T>(string block, params T[] record)
+        {
+            AddRecords<T>(block, new long[] { record.Length }, new[] { record });
+        }
+
+        public void AddRecord<T>(string block, long[] featureShape, params T[][] records)
+        {
+            AddRecords<T>(block, featureShape, records);
+        }
+
+        public void AddRecords<T>(string block, T[][] records)
+        {
+            AddRecords<T>(block, new long[] { records[0].Length }, records);
+        }
+
+        public void AddRecords<T>(string block, long[] featureShape, T[][] records)
+        {
+            if (records.Length == 0)
+            {
+                return;
+            }
+
+            lock (_internalWorkingData)
+            {
+                long[] shape = ArrayUtils.Concatenate(new long[] { records.Length, 1 }, featureShape); // BatchTimeFeatures shape order, time dimension is not supported at the moment
+
+                if (_internalWorkingData.ContainsKey(block))
+                {
+                    shape[0] += _internalWorkingData[block].Shape[0]; // append to record end
+                }
+
+                INDArray newBlock = _internalHandler.NDArray(shape);
+
+                // TODO finish this
+                throw new NotImplementedException("to be completed another time");
+            }
+        }
+
+        /// <inheritdoc />
+        public IDictionary<string, INDArray> FetchBlock(int blockIndex, IComputationHandler handler, bool shouldWaitUntilAvailable = true)
+        {
+            throw new NotImplementedException();
+        }
+
+        /// <inheritdoc />
+        public Task<IDictionary<string, INDArray>> FetchBlockAsync(int blockIndex, IComputationHandler handler, bool shouldWaitUntilAvailable = true)
+        {
+            throw new NotImplementedException();
+        }
+
+        /// <inheritdoc />
+        public void FreeBlock(int blockIndex, IComputationHandler handler)
+        {
+            throw new NotImplementedException();
+        }
+
+        /// <inheritdoc />
+        public bool IsBlockActive(int blockIndex)
+        {
+            return blockIndex == 0;
+        }
+
+        /// <inheritdoc />
+        public bool IsBlockActive(int blockIndex, IComputationHandler handler)
+        {
+            return blockIndex == 0 && _rawData.ContainsKey(handler);
+        }
+
+        /// <inheritdoc />
+        public long GetBlockSizeBytes(int blockIndex, IComputationHandler handler)
+        {
+            if (!IsBlockActive(blockIndex, handler))
+            {
+                return -1L;
+            }
+
+            // TODO
+            throw new NotImplementedException();
+        }
+
+        /// <inheritdoc />
+        public bool CanFetchBlocksAfter(int blockIndex)
+        {
+            return blockIndex == -1;
+        }
+
+        /// <inheritdoc />
+        public bool TrySetBlockSize(int blockSizeRecords)
+        {
+            throw new NotSupportedException();
+        }
+
+        /// <inheritdoc />
+        public IDataset[] SplitBlockwise(params int[] parts)
+        {
+            return ExtractedDataset.SplitBlockwise(this, parts);
+        }
+
+        /// <inheritdoc />
+        public IDataset[] SplitRecordwise(params double[] percentages)
+        {
+            return ExtractedDataset.SplitRecordwise(this, percentages);
+        }
+
+        /// <summary>Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.</summary>
+        public void Dispose()
+        {
+
+        }
+    }
+}
diff --git a/Sigma.Core/Sigma.Core.csproj b/Sigma.Core/Sigma.Core.csproj
index a14fab03..ecd5b8d2 100644
--- a/Sigma.Core/Sigma.Core.csproj
+++ b/Sigma.Core/Sigma.Core.csproj
@@ -138,10 +138,11 @@
     <Compile Include="Architecture\Linear\Parallel.cs" />
     <Compile Include="Architecture\Network.cs" />
     <Compile Include="Data\DataBuffer.cs" />
-    <Compile Include="Data\Datasets\Dataset.cs" />
+    <Compile Include="Data\Datasets\ExtractedDataset.cs" />
     <Compile Include="Data\Datasets\DatasetBlockwiseSlice.cs" />
     <Compile Include="Data\Datasets\DatasetRecordwiseSlice.cs" />
     <Compile Include="Data\Datasets\IDataset.cs" />
+    <Compile Include="Data\Datasets\RawDataset.cs" />
     <Compile Include="Data\Extractors\BaseExtractor.cs" />
     <Compile Include="Data\Extractors\ByteRecordExtractor.cs" />
     <Compile Include="Data\Extractors\CSVRecordExtractor.cs" />
diff --git a/Sigma.Core/Utils/ArrayUtils.cs b/Sigma.Core/Utils/ArrayUtils.cs
index ee50396e..622679bf 100644
--- a/Sigma.Core/Utils/ArrayUtils.cs
+++ b/Sigma.Core/Utils/ArrayUtils.cs
@@ -18,6 +18,25 @@ namespace Sigma.Core.Utils
 	/// </summary>
 	public static class ArrayUtils
 	{
+        /// <summary>
+        /// Concatenate two given arrays into one result array (b is appended after a).
+        /// </summary>
+        /// <typeparam name="T">The array element type.</typeparam>
+        /// <param name="a">The first array.</param>
+        /// <param name="b">The second array.</param>
+        /// <returns>A concatenated array of a and b.</returns>
+	    public static T[] Concatenate<T>(T[] a, T[] b)
+	    {
+            if (a == null) throw new ArgumentNullException(nameof(a));
+            if (b == null) throw new ArgumentNullException(nameof(b));
+
+	        T[] result = new T[a.Length + b.Length];
+            a.CopyTo(result, 0);
+            b.CopyTo(result, a.Length);
+
+	        return result;
+	    }
+
 		/// <summary>
 		/// The product of an integer array (i.e. all values multiplied with each other).
 		/// </summary>
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index 872c13b3..1fb50117 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -66,7 +66,7 @@ private static void SampleIris()
                                                         .Preprocess(new AdaptiveNormalisingPreprocessor(minOutputValue: 0.0, maxOutputValue: 1.0))
                                                         .Preprocess(new ShufflePreprocessor());
 
-            IDataset dataset = new Dataset("iris", Dataset.BlockSizeAuto, false, irisExtractor);
+            IDataset dataset = new ExtractedDataset("iris", ExtractedDataset.BlockSizeAuto, false, irisExtractor);
 
             ITrainer trainer = sigma.CreateGhostTrainer("test");
 
@@ -118,7 +118,7 @@ private static void SampleMnist()
             ByteRecordReader mnistTargetReader = new ByteRecordReader(headerLengthBytes: 8, recordSizeBytes: 1, source: new CompressedSource(new MultiSource(new FileSource("train-labels-idx1-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"))));
             IRecordExtractor mnistTargetExtractor = mnistTargetReader.Extractor("targets", new[] { 0L }, new[] { 1L }).Preprocess(new OneHotPreprocessor(minValue: 0, maxValue: 9));
 
-            IDataset dataset = new Dataset("mnist", Dataset.BlockSizeAuto, false, mnistImageExtractor, mnistTargetExtractor);
+            IDataset dataset = new ExtractedDataset("mnist", ExtractedDataset.BlockSizeAuto, false, mnistImageExtractor, mnistTargetExtractor);
             ITrainer trainer = sigma.CreateTrainer("test");
 
             trainer.Network = new Network();
@@ -160,7 +160,7 @@ private static void SampleCachedFastIteration()
             ByteRecordReader mnistImageReader = new ByteRecordReader(headerLengthBytes: 16, recordSizeBytes: 28 * 28, source: dataSource);
             IRecordExtractor mnistImageExtractor = mnistImageReader.Extractor("inputs", new[] { 0L, 0L }, new[] { 28L, 28L }).Preprocess(new NormalisingPreprocessor(0, 255));
 
-            IDataset dataset = new Dataset("mnist-training", Dataset.BlockSizeAuto, mnistImageExtractor);
+            IDataset dataset = new ExtractedDataset("mnist-training", ExtractedDataset.BlockSizeAuto, mnistImageExtractor);
             IDataset[] slices = dataset.SplitRecordwise(0.8, 0.2);
             IDataset trainingData = slices[0];
 
@@ -350,7 +350,7 @@ private static void SampleLoadExtractIterate()
 
             IComputationHandler handler = new CpuFloat32Handler();
 
-            Dataset dataset = new Dataset("mnist-training", Dataset.BlockSizeAuto, mnistImageExtractor, mnistTargetExtractor);
+            ExtractedDataset dataset = new ExtractedDataset("mnist-training", ExtractedDataset.BlockSizeAuto, mnistImageExtractor, mnistTargetExtractor);
             IDataset[] slices = dataset.SplitRecordwise(0.8, 0.2);
             IDataset trainingData = slices[0];
             IDataset validationData = slices[1];
diff --git a/Sigma.Tests.Internals.WPF/Program.cs b/Sigma.Tests.Internals.WPF/Program.cs
index 2cc34edd..7ea19b00 100644
--- a/Sigma.Tests.Internals.WPF/Program.cs
+++ b/Sigma.Tests.Internals.WPF/Program.cs
@@ -176,7 +176,7 @@ private static ITrainer CreateIrisTrainer(SigmaEnvironment sigma)
                 .Preprocess(new AdaptiveNormalisingPreprocessor(minOutputValue: 0.0, maxOutputValue: 1.0))
                 .Preprocess(new ShufflePreprocessor());
 
-            IDataset dataset = new Dataset("iris", Dataset.BlockSizeAuto, false, irisExtractor);
+            IDataset dataset = new ExtractedDataset("iris", ExtractedDataset.BlockSizeAuto, false, irisExtractor);
 
             ITrainer trainer = sigma.CreateTrainer("test");
 
@@ -212,7 +212,7 @@ private static ITrainer CreateMnistTrainer(SigmaEnvironment sigma)
             ByteRecordReader mnistTargetReader = new ByteRecordReader(headerLengthBytes: 8, recordSizeBytes: 1, source: new CompressedSource(new MultiSource(new FileSource("train-labels-idx1-ubyte.gz"), new UrlSource("http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"))));
             IRecordExtractor mnistTargetExtractor = mnistTargetReader.Extractor("targets", new[] { 0L }, new[] { 1L }).Preprocess(new OneHotPreprocessor(minValue: 0, maxValue: 9));
 
-            IDataset dataset = new Dataset("mnist", Dataset.BlockSizeAuto, false, mnistImageExtractor, mnistTargetExtractor);
+            IDataset dataset = new ExtractedDataset("mnist", ExtractedDataset.BlockSizeAuto, false, mnistImageExtractor, mnistTargetExtractor);
             ITrainer trainer = sigma.CreateTrainer("test");
 
             trainer.Network = new Network
diff --git a/Sigma.Tests/Data/Datasets/TestDatasetBlockwiseSlice.cs b/Sigma.Tests/Data/Datasets/TestDatasetBlockwiseSlice.cs
index 5f2cbec4..922e748b 100644
--- a/Sigma.Tests/Data/Datasets/TestDatasetBlockwiseSlice.cs
+++ b/Sigma.Tests/Data/Datasets/TestDatasetBlockwiseSlice.cs
@@ -48,7 +48,7 @@ public void TestDatasetBlockwiseSliceCreate()
 			CreateCsvTempFile(filename);
 
 			CsvRecordExtractor extractor = new CsvRecordReader(new FileSource(filename)).Extractor("inputs", 1, 2, "targets", 3);
-			Dataset dataset = new Dataset("name", Dataset.BlockSizeAuto, extractor);
+			ExtractedDataset dataset = new ExtractedDataset("name", ExtractedDataset.BlockSizeAuto, extractor);
 
 			Assert.Throws<ArgumentNullException>(() => new DatasetBlockwiseSlice(null, 0, 0, 1));
 			Assert.Throws<ArgumentException>(() => new DatasetBlockwiseSlice(dataset, 0, 0, 0));
@@ -82,7 +82,7 @@ public void TestDatasetBlockwiseSliceFetch()
 			CreateCsvTempFile(filename);
 
 			CsvRecordExtractor extractor = new CsvRecordReader(new FileSource(filename)).Extractor("inputs", 0, "targets", 3);
-			Dataset dataset = new Dataset("name", 1, extractor);
+			ExtractedDataset dataset = new ExtractedDataset("name", 1, extractor);
 			DatasetBlockwiseSlice slice = new DatasetBlockwiseSlice(dataset, 1, 2, 3);
 
 			Assert.AreEqual(new float[] { 4.9f }, slice.FetchBlock(0, new CpuFloat32Handler())["inputs"].GetDataAs<float>().GetValuesArrayAs<float>(0, 1));
diff --git a/Sigma.Tests/Data/Datasets/TestDatasetRecordwiseSlice.cs b/Sigma.Tests/Data/Datasets/TestDatasetRecordwiseSlice.cs
index 929f3a32..dce8c9fe 100644
--- a/Sigma.Tests/Data/Datasets/TestDatasetRecordwiseSlice.cs
+++ b/Sigma.Tests/Data/Datasets/TestDatasetRecordwiseSlice.cs
@@ -48,7 +48,7 @@ public void TestDatasetRecordwiseSliceCreate()
 			CreateCsvTempFile(filename);
 
 			CsvRecordExtractor extractor = new CsvRecordReader(new FileSource(filename)).Extractor("inputs", 1, 2, "targets", 3);
-			Dataset dataset = new Dataset("name", Dataset.BlockSizeAuto, extractor);
+			ExtractedDataset dataset = new ExtractedDataset("name", ExtractedDataset.BlockSizeAuto, extractor);
 
 			Assert.Throws<ArgumentNullException>(() => new DatasetRecordwiseSlice(null, 0.0, 1.0));
 			Assert.Throws<ArgumentException>(() => new DatasetRecordwiseSlice(dataset, -0.2, 1.0));
@@ -74,7 +74,7 @@ public void TestDatsetRecordwiseSliceFetch()
 			CreateCsvTempFile(filename);
 
 			CsvRecordExtractor extractor = new CsvRecordReader(new FileSource(filename)).Extractor("inputs", 0, "targets", 3);
-			Dataset dataset = new Dataset("name", 3, extractor);
+			ExtractedDataset dataset = new ExtractedDataset("name", 3, extractor);
 			DatasetRecordwiseSlice slice = new DatasetRecordwiseSlice(dataset, 0.1, 0.6);
 
 			Assert.AreEqual(new float[] { 5.1f, 4.9f }, slice.FetchBlock(0, new CpuFloat32Handler())["inputs"].GetDataAs<float>().GetValuesArrayAs<float>(0, 2));
diff --git a/Sigma.Tests/Data/Datasets/TestDataset.cs b/Sigma.Tests/Data/Datasets/TestExtractedDataset.cs
similarity index 80%
rename from Sigma.Tests/Data/Datasets/TestDataset.cs
rename to Sigma.Tests/Data/Datasets/TestExtractedDataset.cs
index dfe5e065..c63e3d44 100644
--- a/Sigma.Tests/Data/Datasets/TestDataset.cs
+++ b/Sigma.Tests/Data/Datasets/TestExtractedDataset.cs
@@ -21,7 +21,7 @@ For full license see LICENSE in the root directory of this project.
 
 namespace Sigma.Tests.Data.Datasets
 {
-	public class TestDataset : BaseLocaleTest
+	public class TestExtractedDataset : BaseLocaleTest
 	{
 		private static void RedirectGlobalsToTempPath()
 		{
@@ -53,20 +53,20 @@ public void TestDatasetCreate()
 			CsvRecordExtractor extractor = new CsvRecordReader(new FileSource(filename)).Extractor("inputs", 1, 2, "targets", 3);
 			CsvRecordExtractor clashingExtractor = new CsvRecordReader(new FileSource(filename)).Extractor("inputs", 1, 2);
 
-			Assert.Throws<ArgumentNullException>(() => new Dataset(null, null));
-			Assert.Throws<ArgumentNullException>(() => new Dataset("name", null));
-			Assert.Throws<ArgumentNullException>(() => new Dataset("name", 10, null));
-			Assert.Throws<ArgumentNullException>(() => new Dataset("name", 10, null, extractor));
+			Assert.Throws<ArgumentNullException>(() => new ExtractedDataset(null, null));
+			Assert.Throws<ArgumentNullException>(() => new ExtractedDataset("name", null));
+			Assert.Throws<ArgumentNullException>(() => new ExtractedDataset("name", 10, null));
+			Assert.Throws<ArgumentNullException>(() => new ExtractedDataset("name", 10, null, extractor));
 
-			Assert.Throws<ArgumentException>(() => new Dataset("name", 10));
-			Assert.Throws<ArgumentException>(() => new Dataset("name", -3, extractor));
-			Assert.Throws<ArgumentException>(() => new Dataset("name"));
-			Assert.Throws<ArgumentException>(() => new Dataset("name", extractor, clashingExtractor));
+			Assert.Throws<ArgumentException>(() => new ExtractedDataset("name", 10));
+			Assert.Throws<ArgumentException>(() => new ExtractedDataset("name", -3, extractor));
+			Assert.Throws<ArgumentException>(() => new ExtractedDataset("name"));
+			Assert.Throws<ArgumentException>(() => new ExtractedDataset("name", extractor, clashingExtractor));
 
-			Assert.AreEqual("name", new Dataset("name", extractor).Name);
+			Assert.AreEqual("name", new ExtractedDataset("name", extractor).Name);
 
-			Assert.Greater(new Dataset("name", extractor).TargetBlockSizeRecords, 0);
-			Assert.Greater(new Dataset("name", Dataset.BlockSizeAuto, extractor).TargetBlockSizeRecords, 0);
+			Assert.Greater(new ExtractedDataset("name", extractor).TargetBlockSizeRecords, 0);
+			Assert.Greater(new ExtractedDataset("name", ExtractedDataset.BlockSizeAuto, extractor).TargetBlockSizeRecords, 0);
 
 			DeleteTempFile(filename);
 		}
@@ -81,7 +81,7 @@ public void TestDatasetFetchBlockSequential()
 			CreateCsvTempFile(filename);
 
 			CsvRecordExtractor extractor = new CsvRecordReader(new FileSource(filename, Path.GetTempPath())).Extractor("inputs", 1, 2, "targets", 3);
-			Dataset dataset = new Dataset(name: "name", blockSizeRecords: 1, recordExtractors: extractor);
+			ExtractedDataset dataset = new ExtractedDataset(name: "name", blockSizeRecords: 1, recordExtractors: extractor);
 			CpuFloat32Handler handler = new CpuFloat32Handler();
 
 			IDictionary<string, INDArray> namedArrays = dataset.FetchBlock(0, handler, false);
@@ -122,7 +122,7 @@ public async Task TestDatasetFetchAsync()
 			CreateCsvTempFile(filename);
 
 			CsvRecordExtractor extractor = new CsvRecordReader(new FileSource(filename, Path.GetTempPath())).Extractor("inputs", 1, 2, "targets", 3);
-			Dataset dataset = new Dataset(name: "name", blockSizeRecords: 1, recordExtractors: extractor);
+			ExtractedDataset dataset = new ExtractedDataset(name: "name", blockSizeRecords: 1, recordExtractors: extractor);
 			CpuFloat32Handler handler = new CpuFloat32Handler();
 
 			var block0 = dataset.FetchBlockAsync(0, handler);
@@ -160,7 +160,7 @@ public void TestDatasetFreeBlockSequential()
 			CreateCsvTempFile(filename);
 
 			CsvRecordExtractor extractor = new CsvRecordReader(new FileSource(filename, Path.GetTempPath())).Extractor("inputs", 1, 2, "targets", 3);
-			Dataset dataset = new Dataset(name: "name", blockSizeRecords: 1, recordExtractors: extractor);
+			ExtractedDataset dataset = new ExtractedDataset(name: "name", blockSizeRecords: 1, recordExtractors: extractor);
 			CpuFloat32Handler handler = new CpuFloat32Handler();
 
 			dataset.FetchBlock(0, handler, false);
diff --git a/Sigma.Tests/Data/Iterators/TestMinibatchIterator.cs b/Sigma.Tests/Data/Iterators/TestMinibatchIterator.cs
index 57a39c2c..383bf1a5 100644
--- a/Sigma.Tests/Data/Iterators/TestMinibatchIterator.cs
+++ b/Sigma.Tests/Data/Iterators/TestMinibatchIterator.cs
@@ -45,7 +45,7 @@ public void TestMinibatchIteratorCreate()
 
 			FileSource source = new FileSource(filename, Path.GetTempPath());
 			CsvRecordExtractor extractor = (CsvRecordExtractor) new CsvRecordReader(source).Extractor(new CsvRecordExtractor(new Dictionary<string, int[][]> { ["inputs"] = new[] { new[] { 0 } } }));
-			Dataset dataset = new Dataset("test", 1, new DiskCacheProvider(Path.GetTempPath() + "/" + nameof(TestMinibatchIteratorYield)), true, extractor);
+			ExtractedDataset dataset = new ExtractedDataset("test", 1, new DiskCacheProvider(Path.GetTempPath() + "/" + nameof(TestMinibatchIteratorYield)), true, extractor);
 
 			Assert.Throws<ArgumentException>(() => new MinibatchIterator(-3, dataset));
 			Assert.Throws<ArgumentNullException>(() => new MinibatchIterator(1, null));
@@ -76,7 +76,7 @@ public void TestMinibatchIteratorYield(int minibatchSize)
 
 			FileSource source = new FileSource(filename, Path.GetTempPath());
 			CsvRecordExtractor extractor = (CsvRecordExtractor) new CsvRecordReader(source).Extractor(new CsvRecordExtractor(new Dictionary<string, int[][]> { ["inputs"] = new[] { new[] { 0 } } }));
-			Dataset dataset = new Dataset("test", 1, new DiskCacheProvider(Path.GetTempPath() + "/" + nameof(TestMinibatchIteratorYield)), true, extractor);
+			ExtractedDataset dataset = new ExtractedDataset("test", 1, new DiskCacheProvider(Path.GetTempPath() + "/" + nameof(TestMinibatchIteratorYield)), true, extractor);
 			MinibatchIterator iterator = new MinibatchIterator(minibatchSize, dataset);
 			IComputationHandler handler = new CpuFloat32Handler();
 			SigmaEnvironment sigma = SigmaEnvironment.Create("test");
diff --git a/Sigma.Tests/Data/Iterators/TestUndividedIterator.cs b/Sigma.Tests/Data/Iterators/TestUndividedIterator.cs
index cdc1fb62..199c1a35 100644
--- a/Sigma.Tests/Data/Iterators/TestUndividedIterator.cs
+++ b/Sigma.Tests/Data/Iterators/TestUndividedIterator.cs
@@ -44,7 +44,7 @@ public void TestUndividedIteratorCreate()
 
 			FileSource source = new FileSource(filename, Path.GetTempPath());
 			CsvRecordExtractor extractor = (CsvRecordExtractor) new CsvRecordReader(source).Extractor(new CsvRecordExtractor(new Dictionary<string, int[][]> { ["inputs"] = new[] { new[] { 0 } } }));
-			Dataset dataset = new Dataset("test", 1, new DiskCacheProvider(Path.GetTempPath() + "/" + nameof(TestUndividedIteratorCreate)), true, extractor);
+			ExtractedDataset dataset = new ExtractedDataset("test", 1, new DiskCacheProvider(Path.GetTempPath() + "/" + nameof(TestUndividedIteratorCreate)), true, extractor);
 
 			Assert.Throws<ArgumentNullException>(() => new UndividedIterator(null));
 
@@ -64,7 +64,7 @@ public void TestUndividedIteratorYield()
 
 			FileSource source = new FileSource(filename, Path.GetTempPath());
 			CsvRecordExtractor extractor = (CsvRecordExtractor) new CsvRecordReader(source).Extractor(new CsvRecordExtractor(new Dictionary<string, int[][]> { ["inputs"] = new[] { new[] { 0 } } }));
-			Dataset dataset = new Dataset("test", 2, new DiskCacheProvider(Path.GetTempPath() + "/" + nameof(TestUndividedIteratorCreate)), true, extractor);
+			ExtractedDataset dataset = new ExtractedDataset("test", 2, new DiskCacheProvider(Path.GetTempPath() + "/" + nameof(TestUndividedIteratorCreate)), true, extractor);
 			UndividedIterator iterator = new UndividedIterator(dataset);
 			SigmaEnvironment sigma = SigmaEnvironment.Create("test");
 			IComputationHandler handler = new CpuFloat32Handler();
diff --git a/Sigma.Tests/Data/Iterators/TestUnifiedIterator.cs b/Sigma.Tests/Data/Iterators/TestUnifiedIterator.cs
index bd77f73f..5cbb5934 100644
--- a/Sigma.Tests/Data/Iterators/TestUnifiedIterator.cs
+++ b/Sigma.Tests/Data/Iterators/TestUnifiedIterator.cs
@@ -52,7 +52,7 @@ public void TestUnifiedIteratorYield()
 
 			FileSource source = new FileSource(filename, Path.GetTempPath());
 			CsvRecordExtractor extractor = (CsvRecordExtractor) new CsvRecordReader(source).Extractor(new CsvRecordExtractor(new Dictionary<string, int[][]> { ["inputs"] = new[] { new[] { 0 } } }));
-			Dataset dataset = new Dataset("test", 2, new DiskCacheProvider(Path.GetTempPath() + "/" + nameof(TestUnifiedIteratorYield)), true, extractor);
+			ExtractedDataset dataset = new ExtractedDataset("test", 2, new DiskCacheProvider(Path.GetTempPath() + "/" + nameof(TestUnifiedIteratorYield)), true, extractor);
 			UnifiedIterator iterator = new UnifiedIterator(dataset);
 			SigmaEnvironment sigma = SigmaEnvironment.Create("test");
 			IComputationHandler handler = new CpuFloat32Handler();
diff --git a/Sigma.Tests/Sigma.Tests.csproj b/Sigma.Tests/Sigma.Tests.csproj
index 936769f7..9e5b2e94 100644
--- a/Sigma.Tests/Sigma.Tests.csproj
+++ b/Sigma.Tests/Sigma.Tests.csproj
@@ -123,7 +123,7 @@
   </Choose>
   <ItemGroup>
     <Compile Include="BaseLocaleTest.cs" />
-    <Compile Include="Data\Datasets\TestDataset.cs" />
+    <Compile Include="Data\Datasets\TestExtractedDataset.cs" />
     <Compile Include="Data\Datasets\TestDatasetBlockwiseSlice.cs" />
     <Compile Include="Data\Datasets\TestDatasetRecordwiseSlice.cs" />
     <Compile Include="Data\Extractors\TestByteRecordExtractor.cs" />
diff --git a/Sigma.Tests/Training/MockTrainer.cs b/Sigma.Tests/Training/MockTrainer.cs
index a9986d48..5adea2c0 100644
--- a/Sigma.Tests/Training/MockTrainer.cs
+++ b/Sigma.Tests/Training/MockTrainer.cs
@@ -40,7 +40,7 @@ protected MockTrainer(string name) : base(name)
 			extractor.SectionNames = new[] {"targets", "inputs"};
 			extractor.Reader = new MockRecordReader();
 			Sigma = SigmaEnvironment.GetOrCreate("testificate-mocktrainer");
-			TrainingDataIterator = new UndividedIterator(new Dataset("testificate", extractor));
+			TrainingDataIterator = new UndividedIterator(new ExtractedDataset("testificate", extractor));
 		}
 
 		internal class MockRecordReader : IRecordReader

From 8d97f65d8a732b9c0f2022dc02d2b528fbea1739 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Mon, 24 Apr 2017 21:09:27 +0200
Subject: [PATCH 36/40] Add AddRecords functions to RawDataset, add
 PrepareAndRun to SigmaEnv

---
 Sigma.Core/Data/Datasets/RawDataset.cs        | 71 +++++++++++++++----
 .../Backends/Debugging/DebugHandler.cs        | 16 ++++-
 .../SigmaDiff/DiffSharpFloat32Handler.cs      | 25 +++++--
 .../SigmaDiff/NativeCpu/CPUFloat32Handler.cs  | 57 +++++++++++++--
 Sigma.Core/Handlers/IComputationHandler.cs    | 22 ++++++
 Sigma.Core/Sigma.cs                           | 10 +++
 6 files changed, 178 insertions(+), 23 deletions(-)

diff --git a/Sigma.Core/Data/Datasets/RawDataset.cs b/Sigma.Core/Data/Datasets/RawDataset.cs
index c281ada4..3e8707b2 100644
--- a/Sigma.Core/Data/Datasets/RawDataset.cs
+++ b/Sigma.Core/Data/Datasets/RawDataset.cs
@@ -11,8 +11,10 @@ For full license see LICENSE in the root directory of this project.
 using System.Collections;
 using System.Collections.Concurrent;
 using System.Collections.Generic;
+using System.Linq;
 using System.Threading.Tasks;
 using Sigma.Core.Handlers;
+using Sigma.Core.Handlers.Backends.SigmaDiff.NativeCpu;
 using Sigma.Core.MathAbstract;
 using Sigma.Core.Utils;
 
@@ -100,6 +102,15 @@ public class RawDataset : IDataset
         private readonly IDictionary<IComputationHandler, IDictionary<string, INDArray>> _rawData;
 
 
+        /// <summary>
+        /// Create a raw dataset with a certain name and an internal cpu handler with 32-bit float precision.
+        /// </summary>
+        /// <param name="name">The globally unique name of this dataset.</param>
+        /// <param name="internalHandler">The internal handler to use for data management.</param>
+        public RawDataset(string name) : this(name, new CpuFloat32Handler())
+        {
+        }
+
         /// <summary>
         /// Create a raw dataset with a certain name and computation handler.
         /// </summary>
@@ -117,22 +128,22 @@ public RawDataset(string name, IComputationHandler internalHandler)
             _rawData = new ConcurrentDictionary<IComputationHandler, IDictionary<string, INDArray>>();
         }
 
-        public void AddRecord<T>(string block, params T[] record)
+        public void AddRecord<T>(string blockName, params T[] record)
         {
-            AddRecords<T>(block, new long[] { record.Length }, new[] { record });
+            AddShapedRecords<T>(blockName, new long[] { record.Length }, new[] { record });
         }
 
-        public void AddRecord<T>(string block, long[] featureShape, params T[][] records)
+        public void AddRecord<T>(string blockName, long[] featureShape, params T[][] records)
         {
-            AddRecords<T>(block, featureShape, records);
+            AddShapedRecords<T>(blockName, featureShape, records);
         }
 
-        public void AddRecords<T>(string block, T[][] records)
+        public void AddRecords<T>(string blockName, params T[][] records)
         {
-            AddRecords<T>(block, new long[] { records[0].Length }, records);
+            AddShapedRecords<T>(blockName, new long[] { records[0].Length }, records);
         }
 
-        public void AddRecords<T>(string block, long[] featureShape, T[][] records)
+        public void AddShapedRecords<T>(string blockName, long[] featureShape, params T[][] records)
         {
             if (records.Length == 0)
             {
@@ -141,17 +152,51 @@ public void AddRecords<T>(string block, long[] featureShape, T[][] records)
 
             lock (_internalWorkingData)
             {
-                long[] shape = ArrayUtils.Concatenate(new long[] { records.Length, 1 }, featureShape); // BatchTimeFeatures shape order, time dimension is not supported at the moment
+                long featureLength = ArrayUtils.Product(featureShape);
+                long[] insertedShape = ArrayUtils.Concatenate(new long[] { records.Length, 1 }, featureShape); // BatchTimeFeatures shape order, time dimension is not supported at the moment
+                long[] newShape = (long[])insertedShape.Clone();
+                bool previousBlockExists = _internalWorkingData.ContainsKey(blockName);
+
+                if (previousBlockExists)
+                {
+                    insertedShape[0] += _internalWorkingData[blockName].Shape[0]; // append new record to end
+                }
+
+                INDArray newBlock = _internalHandler.NDArray(newShape);
 
-                if (_internalWorkingData.ContainsKey(block))
+                long[] destinationBegin = new long[newBlock.Rank];
+
+                if (previousBlockExists)
                 {
-                    shape[0] += _internalWorkingData[block].Shape[0]; // append to record end
+                    INDArray oldBlock = _internalWorkingData[blockName];
+
+                    long[] previousSourceBegin = new long[oldBlock.Shape.Rank];
+                    long[] previousSourceEnd = oldBlock.Shape.Select(i => i - 1).ToArray();
+
+                    _internalHandler.Fill(oldBlock, newBlock, previousSourceBegin, previousSourceEnd, previousSourceBegin, previousSourceEnd);
+
+                    destinationBegin[0] = oldBlock.Shape[0];
                 }
 
-                INDArray newBlock = _internalHandler.NDArray(shape);
+                long[] destinationEnd = newShape.Select(i => i - 1).ToArray();
+                destinationEnd[0] = destinationBegin[0];
+
+                for (int i = 0; i < records.Length; i++)
+                {
+                    _internalHandler.Fill(records[i], newBlock, destinationBegin, destinationEnd);
 
-                // TODO finish this
-                throw new NotImplementedException("to be completed another time");
+                    destinationBegin[0]++;
+                    destinationEnd[0]++;
+                } // values aren't set correctly, shifted around and just wrong - TODO fix
+
+                if (previousBlockExists)
+                {
+                    _internalWorkingData[blockName] = newBlock;
+                }
+                else
+                {
+                    _internalWorkingData.Add(blockName, newBlock);
+                }
             }
         }
 
diff --git a/Sigma.Core/Handlers/Backends/Debugging/DebugHandler.cs b/Sigma.Core/Handlers/Backends/Debugging/DebugHandler.cs
index ac52b11b..b2dc1ed3 100644
--- a/Sigma.Core/Handlers/Backends/Debugging/DebugHandler.cs
+++ b/Sigma.Core/Handlers/Backends/Debugging/DebugHandler.cs
@@ -278,11 +278,25 @@ public void Fill(INDArray filler, INDArray arrayToFill)
 
 		public void Fill<TOther>(TOther value, INDArray arrayToFill)
 		{
-			UnderlyingHandler.Fill(value, CheckNice(arrayToFill));
+			UnderlyingHandler.Fill(value, arrayToFill);
 
 			CheckNice(arrayToFill);
 		}
 
+	    public void Fill(INDArray filler, INDArray arrayToFill, long[] sourceBeginIndices, long[] sourceEndIndices, long[] destinationBeginIndices, long[] destinationEndIndices)
+	    {
+            UnderlyingHandler.Fill(CheckNice(filler), CheckNice(arrayToFill), sourceBeginIndices, sourceEndIndices, destinationBeginIndices, destinationEndIndices);
+
+	        CheckNice(arrayToFill);
+	    }
+
+	    public void Fill<T>(T[] filler, INDArray arrayToFill, long[] destinationBeginIndices, long[] destinationEndIndices)
+	    {
+	        UnderlyingHandler.Fill(filler, CheckNice(arrayToFill), destinationBeginIndices, destinationEndIndices);
+
+	        CheckNice(arrayToFill);
+	    }
+
 		public INDArray FlattenTime(INDArray array)
 		{
 			if (Enabled && array.Rank < 2) // two or three? technically 2 is enough ([BT]F) but 3 makes more sense
diff --git a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs
index 61c9609f..90263f63 100644
--- a/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs
+++ b/Sigma.Core/Handlers/Backends/SigmaDiff/DiffSharpFloat32Handler.cs
@@ -117,22 +117,39 @@ protected ADNDFloat32Array AssignTag(ADNDFloat32Array array)
 			return array;
 		}
 
-		// IComputationHandler stuff that is probably different for each diffsharp handler implementation
+        // IComputationHandler stuff that is probably different for each diffsharp handler implementation
+	    /// <inheritdoc />
 		public abstract void InitAfterDeserialisation(INDArray array);
+	    /// <inheritdoc />
 		public abstract long GetSizeBytes(params INDArray[] array);
+	    /// <inheritdoc />
 		public abstract bool IsInterchangeable(IComputationHandler otherHandler);
+	    /// <inheritdoc />
 		public abstract INDArray NDArray(params long[] shape);
+	    /// <inheritdoc />
 		public abstract INDArray NDArray<TOther>(TOther[] values, params long[] shape);
+	    /// <inheritdoc />
 		public abstract INumber Number(object value);
+	    /// <inheritdoc />
 		public abstract IDataBuffer<T> DataBuffer<T>(T[] values);
+	    /// <inheritdoc />
 		public abstract INDArray AsNDArray(INumber number);
+	    /// <inheritdoc />
 		public abstract INumber AsNumber(INDArray array, params long[] indices);
+	    /// <inheritdoc />
 		public abstract bool CanConvert(INDArray array, IComputationHandler otherHandler);
+	    /// <inheritdoc />
 		public abstract INDArray Convert(INDArray array, IComputationHandler otherHandler);
+	    /// <inheritdoc />
 		public abstract void Fill(INDArray filler, INDArray arrayToFill);
-		public abstract void Fill<TOther>(TOther value, INDArray arrayToFill);
-
-		protected ADNDFloat32Array ConvertInternal(INDArray array)
+	    /// <inheritdoc />
+	    public abstract void Fill<TOther>(TOther value, INDArray arrayToFill);
+        /// <inheritdoc />
+        public abstract void Fill(INDArray filler, INDArray arrayToFill, long[] sourceBeginIndices, long[] sourceEndIndices, long[] destinationBeginIndices, long[] destinationEndIndices);
+	    /// <inheritdoc />
+	    public abstract void Fill<T>(T[] filler, INDArray arrayToFill, long[] destinationBeginIndices, long[] destinationEndIndices);
+
+	    protected ADNDFloat32Array ConvertInternal(INDArray array)
 		{
 			return new ADNDFloat32Array(_backendTag, array.GetDataAs<float>(), array.Shape);
 		}
diff --git a/Sigma.Core/Handlers/Backends/SigmaDiff/NativeCpu/CPUFloat32Handler.cs b/Sigma.Core/Handlers/Backends/SigmaDiff/NativeCpu/CPUFloat32Handler.cs
index d73c6f7e..9936e80c 100644
--- a/Sigma.Core/Handlers/Backends/SigmaDiff/NativeCpu/CPUFloat32Handler.cs
+++ b/Sigma.Core/Handlers/Backends/SigmaDiff/NativeCpu/CPUFloat32Handler.cs
@@ -12,6 +12,7 @@ For full license see LICENSE in the root directory of this project.
 using System;
 using Sigma.Core.MathAbstract.Backends.SigmaDiff;
 using Sigma.Core.MathAbstract.Backends.SigmaDiff.NativeCpu;
+using Sigma.Core.Utils;
 
 namespace Sigma.Core.Handlers.Backends.SigmaDiff.NativeCpu
 {
@@ -21,22 +22,27 @@ namespace Sigma.Core.Handlers.Backends.SigmaDiff.NativeCpu
 	[Serializable]
 	public class CpuFloat32Handler : DiffSharpFloat32Handler
 	{
+	    /// <inheritdoc />
 		public CpuFloat32Handler() : base(new OpenBlasBlasBackend(), new OpenBlasLapackBackend())
 		{
 		}
 
+	    /// <inheritdoc />
 		public override IDataType DataType => DataTypes.Float32;
 
+	    /// <inheritdoc />
 		public override IDataBuffer<T> DataBuffer<T>(T[] values)
 		{
 			return new SigmaDiffDataBuffer<T>(values, backendTag: DiffsharpBackendHandle.BackendTag);
 		}
 
+	    /// <inheritdoc />
 		public override INDArray NDArray(params long[] shape)
 		{
 			return AssignTag(new ADNDFloat32Array(DiffsharpBackendHandle.BackendTag, shape)).SetAssociatedHandler(this);
 		}
 
+	    /// <inheritdoc />
 		public override INDArray NDArray<TOther>(TOther[] values, params long[] shape)
 		{
 			float[] convertedValues = new float[values.Length];
@@ -50,11 +56,13 @@ public override INDArray NDArray<TOther>(TOther[] values, params long[] shape)
 			return AssignTag(new ADNDFloat32Array(DiffsharpBackendHandle.BackendTag, convertedValues, shape)).SetAssociatedHandler(this);
 		}
 
+	    /// <inheritdoc />
 		public override INumber Number(object value)
 		{
 			return new ADFloat32Number((float) System.Convert.ChangeType(value, typeof(float))).SetAssociatedHandler(this);
 		}
 
+	    /// <inheritdoc />
 		public override INDArray AsNDArray(INumber number)
 		{
 			ADFloat32Number internalNumber = InternaliseNumber(number);
@@ -62,6 +70,7 @@ public override INDArray AsNDArray(INumber number)
 			return AssignTag(new ADNDFloat32Array(DNDArray.OfDNumber(internalNumber._adNumberHandle, DiffsharpBackendHandle)));
 		}
 
+	    /// <inheritdoc />
 		public override INumber AsNumber(INDArray array, params long[] indices)
 		{
 			ADNDFloat32Array internalArray = InternaliseArray(array);
@@ -70,12 +79,14 @@ public override INumber AsNumber(INDArray array, params long[] indices)
 			return new ADFloat32Number(DNDArray.ToDNumber(internalArray._adArrayHandle, (int) flatIndex));
 		}
 
+	    /// <inheritdoc />
 		public override void InitAfterDeserialisation(INDArray array)
 		{
 			// nothing to do here for this handler, all relevant components are serialised automatically, 
 			// diffsharp does not need to be de-serialised, components only need to be removed from trace
 		}
 
+	    /// <inheritdoc />
 		public override long GetSizeBytes(params INDArray[] arrays)
 		{
 			long totalSizeBytes = 0L;
@@ -93,34 +104,39 @@ public override long GetSizeBytes(params INDArray[] arrays)
 			return totalSizeBytes;
 		}
 
+	    /// <inheritdoc />
 		public override bool IsInterchangeable(IComputationHandler otherHandler)
 		{
 			//there are no interchangeable implementations so it will have to be the same type 
 			return otherHandler.GetType() == GetType();
 		}
 
+	    /// <inheritdoc />
 		public override bool CanConvert(INDArray array, IComputationHandler otherHandler)
 		{
 			//if it's the same base unit and at least the same precision we can convert
 			return otherHandler.DataType.BaseUnderlyingType == DataType.BaseUnderlyingType && otherHandler.DataType.SizeBytes >= DataType.SizeBytes;
 		}
 
+	    /// <inheritdoc />
 		public override INDArray Convert(INDArray array, IComputationHandler otherHandler)
 		{
 			return ConvertInternal(array);
 		}
 
+	    /// <inheritdoc />
 		public override void Fill(INDArray filler, INDArray arrayToFill)
 		{
-			IDataBuffer<float> arrayToFillData = ((ADNDArray<float>) arrayToFill).Data;
-			IDataBuffer<float> fillerData = ((ADNDArray<float>) filler).Data;
+			IDataBuffer<float> arrayToFillData = InternaliseArray(arrayToFill).Data;
+			IDataBuffer<float> fillerData = InternaliseArray(filler).Data;
 
 			arrayToFillData.SetValues(fillerData.Data, fillerData.Offset, arrayToFillData.Offset, Math.Min(arrayToFill.Length, filler.Length));
 		}
 
-		public override void Fill<TOther>(TOther value, INDArray arrayToFill)
+	    /// <inheritdoc />
+        public override void Fill<TOther>(TOther value, INDArray arrayToFill)
 		{
-			IDataBuffer<float> arrayToFillData = ((ADNDArray<float>) arrayToFill).Data;
+			IDataBuffer<float> arrayToFillData = InternaliseArray(arrayToFill).Data;
 
 			float floatValue = (float) System.Convert.ChangeType(value, typeof(float));
 
@@ -129,5 +145,36 @@ public override void Fill<TOther>(TOther value, INDArray arrayToFill)
 				arrayToFillData.Data.SetValue(floatValue, i);
 			}
 		}
-	}
+
+	    /// <inheritdoc />
+	    public override void Fill(INDArray filler, INDArray arrayToFill, long[] sourceBeginIndices, long[] sourceEndIndices, long[] destinationBeginIndices, long[] destinationEndIndices)
+	    {
+	        IDataBuffer<float> fillerData = InternaliseArray(filler).Data;
+	        IDataBuffer<float> arrayToFillData = InternaliseArray(arrayToFill).Data;
+
+	        int sourceOffset = (int) NDArrayUtils.GetFlatIndex(filler.Shape, filler.Strides, sourceBeginIndices);
+            int destinationOffset = (int) NDArrayUtils.GetFlatIndex(filler.Shape, filler.Strides, sourceEndIndices);
+	        int sourceLength = (int) NDArrayUtils.GetFlatIndex(arrayToFill.Shape, arrayToFill.Strides, destinationBeginIndices);
+            int destinationLength = (int) NDArrayUtils.GetFlatIndex(arrayToFill.Shape, arrayToFill.Strides, destinationEndIndices);
+
+            if (sourceLength < 0) throw new ArgumentOutOfRangeException($"Source begin indices must be smaller than source end indices, but source length was {sourceLength}.");
+            if (destinationLength < 0) throw new ArgumentOutOfRangeException($"Destination begin indices must be smaller than destination end indices, but destination length was {destinationLength}.");
+            if (sourceLength != destinationLength) throw new ArgumentException($"Source and destination indices length must batch, but source length was {sourceLength} and destination legnth was {destinationLength}.");
+
+            Array.Copy(fillerData.Data, sourceOffset, arrayToFillData.Data, destinationOffset, sourceLength);
+	    }
+
+	    /// <inheritdoc />
+	    public override void Fill<T>(T[] filler, INDArray arrayToFill, long[] destinationBeginIndices, long[] destinationEndIndices)
+	    {
+	        IDataBuffer<float> arrayToFillData = InternaliseArray(arrayToFill).Data;
+
+	        int destinationOffset = (int) NDArrayUtils.GetFlatIndex(arrayToFill.Shape, arrayToFill.Strides, destinationBeginIndices);
+	        int destinationLength = (int) NDArrayUtils.GetFlatIndex(arrayToFill.Shape, arrayToFill.Strides, destinationEndIndices) - destinationOffset;
+
+	        if (destinationLength < 0) throw new ArgumentOutOfRangeException($"Destination begin indices must be smaller than destination end indices, but destination length was {destinationLength}.");
+
+	        Array.Copy(filler, 0, arrayToFillData.Data, destinationOffset, destinationLength);
+	    }
+    }
 }
diff --git a/Sigma.Core/Handlers/IComputationHandler.cs b/Sigma.Core/Handlers/IComputationHandler.cs
index 5c752a21..bcea2dca 100644
--- a/Sigma.Core/Handlers/IComputationHandler.cs
+++ b/Sigma.Core/Handlers/IComputationHandler.cs
@@ -133,6 +133,28 @@ public interface IComputationHandler
 		/// <param name="arrayToFill">The ndarray to fill.</param>
 		void Fill(INDArray filler, INDArray arrayToFill);
 
+	    /// <summary>
+	    /// Fill an ndarray with the contents of another ndarray within a specific range.
+	    /// Note: The index ranges must be of the same size (in source and destination).
+	    /// </summary>
+	    /// <param name="filler">The filler ndarray (from which the values will be copied in the specified range).</param>
+	    /// <param name="arrayToFill">The array to fill within the specified range.</param>
+	    /// <param name="sourceBeginIndices">The begin indices in the filler array.</param>
+	    /// <param name="sourceEndIndices">The end indices in the filler array.</param>
+	    /// <param name="destinationBeginIndices">The begin indices in the array to fill.</param>
+	    /// <param name="destinationEndIndices">The end indices in the array to fill.</param>
+	    void Fill(INDArray filler, INDArray arrayToFill, long[] sourceBeginIndices, long[] sourceEndIndices, long[] destinationBeginIndices, long[] destinationEndIndices);
+
+	    /// <summary>
+	    /// Fill an ndarray with the contents of another ndarray within a specific range.
+	    /// Note: The index ranges must be of the same size (in source and destination).
+	    /// </summary>
+	    /// <param name="filler">The filler ndarray (from which the values will be copied in the specified range).</param>
+	    /// <param name="arrayToFill">The array to fill within the specified range.</param>
+	    /// <param name="destinationBeginIndices">The begin indices in the array to fill.</param>
+	    /// <param name="destinationEndIndices">The end indices in the array to fill.</param>
+	    void Fill<T>(T[] filler, INDArray arrayToFill, long[] destinationBeginIndices, long[] destinationEndIndices);
+
 		/// <summary>
 		/// Fill an ndarray with a single value.
 		/// This is not a traceable operation. 
diff --git a/Sigma.Core/Sigma.cs b/Sigma.Core/Sigma.cs
index 35ee5b86..9a39c0a4 100644
--- a/Sigma.Core/Sigma.cs
+++ b/Sigma.Core/Sigma.cs
@@ -330,6 +330,16 @@ public async Task RunAsync()
 			await Task.Run(() => Run());
 		}
 
+        /// <summary>
+        /// Prepare and run this sigma environment.
+        /// Note: This should only be used with smaller projects, as an early <see cref="Prepare"/> call gives monitors more time to setup and more instant user feedback.
+        /// </summary>
+	    public void PrepareAndRun()
+	    {
+	        Prepare();
+	        Run();
+	    }
+
 		private void InitialiseTrainers()
 		{
 			foreach (ITrainer trainer in _trainersByName.Values)

From 1142812122c2b1a19a8300c36b507c5ecd36c094 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Tue, 25 Apr 2017 21:29:05 +0200
Subject: [PATCH 37/40] Fix RawDataset AddRecords, fix CPUFloat32Handler ranged
 Fill, fix TestConstantValueInitialiser test

---
 Sigma.Core/Data/Datasets/RawDataset.cs        | 20 +++++++++++++------
 .../SigmaDiff/NativeCpu/CPUFloat32Handler.cs  |  8 ++++----
 Sigma.Tests.Internals.Backend/Program.cs      | 13 +++++++++++-
 .../TestConstantValueInitialiser.cs           |  6 ++++--
 4 files changed, 34 insertions(+), 13 deletions(-)

diff --git a/Sigma.Core/Data/Datasets/RawDataset.cs b/Sigma.Core/Data/Datasets/RawDataset.cs
index 3e8707b2..eb2978e5 100644
--- a/Sigma.Core/Data/Datasets/RawDataset.cs
+++ b/Sigma.Core/Data/Datasets/RawDataset.cs
@@ -153,13 +153,13 @@ public void AddShapedRecords<T>(string blockName, long[] featureShape, params T[
             lock (_internalWorkingData)
             {
                 long featureLength = ArrayUtils.Product(featureShape);
-                long[] insertedShape = ArrayUtils.Concatenate(new long[] { records.Length, 1 }, featureShape); // BatchTimeFeatures shape order, time dimension is not supported at the moment
-                long[] newShape = (long[])insertedShape.Clone();
+                long[] newShape = ArrayUtils.Concatenate(new long[] { records.Length, 1 }, featureShape); // BatchTimeFeatures shape order, time dimension is not supported at the moment
+                long[] insertedShape = (long[]) newShape.Clone();
                 bool previousBlockExists = _internalWorkingData.ContainsKey(blockName);
 
                 if (previousBlockExists)
                 {
-                    insertedShape[0] += _internalWorkingData[blockName].Shape[0]; // append new record to end
+                    newShape[0] += _internalWorkingData[blockName].Shape[0]; // append new record to end
                 }
 
                 INDArray newBlock = _internalHandler.NDArray(newShape);
@@ -170,7 +170,15 @@ public void AddShapedRecords<T>(string blockName, long[] featureShape, params T[
                 {
                     INDArray oldBlock = _internalWorkingData[blockName];
 
-                    long[] previousSourceBegin = new long[oldBlock.Shape.Rank];
+                    for (int i = 1; i < oldBlock.Shape.Length; i++)
+                    {
+                        if (newShape[i] != oldBlock.Shape[i])
+                        {
+                            throw new InvalidOperationException($"Shape mismatch: already existing block for \"{blockName}\" has shape {ArrayUtils.ToString(oldBlock.Shape)} but new block has shape {ArrayUtils.ToString(newShape)}");
+                        }
+                    }
+
+                    long[] previousSourceBegin = new long[oldBlock.Rank];
                     long[] previousSourceEnd = oldBlock.Shape.Select(i => i - 1).ToArray();
 
                     _internalHandler.Fill(oldBlock, newBlock, previousSourceBegin, previousSourceEnd, previousSourceBegin, previousSourceEnd);
@@ -178,7 +186,7 @@ public void AddShapedRecords<T>(string blockName, long[] featureShape, params T[
                     destinationBegin[0] = oldBlock.Shape[0];
                 }
 
-                long[] destinationEnd = newShape.Select(i => i - 1).ToArray();
+                long[] destinationEnd = insertedShape.Select(i => i - 1).ToArray();
                 destinationEnd[0] = destinationBegin[0];
 
                 for (int i = 0; i < records.Length; i++)
@@ -187,7 +195,7 @@ public void AddShapedRecords<T>(string blockName, long[] featureShape, params T[
 
                     destinationBegin[0]++;
                     destinationEnd[0]++;
-                } // values aren't set correctly, shifted around and just wrong - TODO fix
+                }
 
                 if (previousBlockExists)
                 {
diff --git a/Sigma.Core/Handlers/Backends/SigmaDiff/NativeCpu/CPUFloat32Handler.cs b/Sigma.Core/Handlers/Backends/SigmaDiff/NativeCpu/CPUFloat32Handler.cs
index 9936e80c..fc5871ca 100644
--- a/Sigma.Core/Handlers/Backends/SigmaDiff/NativeCpu/CPUFloat32Handler.cs
+++ b/Sigma.Core/Handlers/Backends/SigmaDiff/NativeCpu/CPUFloat32Handler.cs
@@ -153,9 +153,9 @@ public override void Fill(INDArray filler, INDArray arrayToFill, long[] sourceBe
 	        IDataBuffer<float> arrayToFillData = InternaliseArray(arrayToFill).Data;
 
 	        int sourceOffset = (int) NDArrayUtils.GetFlatIndex(filler.Shape, filler.Strides, sourceBeginIndices);
-            int destinationOffset = (int) NDArrayUtils.GetFlatIndex(filler.Shape, filler.Strides, sourceEndIndices);
-	        int sourceLength = (int) NDArrayUtils.GetFlatIndex(arrayToFill.Shape, arrayToFill.Strides, destinationBeginIndices);
-            int destinationLength = (int) NDArrayUtils.GetFlatIndex(arrayToFill.Shape, arrayToFill.Strides, destinationEndIndices);
+	        int sourceLength = (int) NDArrayUtils.GetFlatIndex(filler.Shape, filler.Strides, sourceEndIndices) - sourceOffset + 1; // +1 because end is inclusive
+	        int destinationOffset = (int) NDArrayUtils.GetFlatIndex(arrayToFill.Shape, arrayToFill.Strides, destinationBeginIndices);
+            int destinationLength = (int) NDArrayUtils.GetFlatIndex(arrayToFill.Shape, arrayToFill.Strides, destinationEndIndices) - destinationOffset + 1; // same here
 
             if (sourceLength < 0) throw new ArgumentOutOfRangeException($"Source begin indices must be smaller than source end indices, but source length was {sourceLength}.");
             if (destinationLength < 0) throw new ArgumentOutOfRangeException($"Destination begin indices must be smaller than destination end indices, but destination length was {destinationLength}.");
@@ -170,7 +170,7 @@ public override void Fill<T>(T[] filler, INDArray arrayToFill, long[] destinatio
 	        IDataBuffer<float> arrayToFillData = InternaliseArray(arrayToFill).Data;
 
 	        int destinationOffset = (int) NDArrayUtils.GetFlatIndex(arrayToFill.Shape, arrayToFill.Strides, destinationBeginIndices);
-	        int destinationLength = (int) NDArrayUtils.GetFlatIndex(arrayToFill.Shape, arrayToFill.Strides, destinationEndIndices) - destinationOffset;
+	        int destinationLength = (int) NDArrayUtils.GetFlatIndex(arrayToFill.Shape, arrayToFill.Strides, destinationEndIndices) - destinationOffset + 1; // +1 because end is inclusive
 
 	        if (destinationLength < 0) throw new ArgumentOutOfRangeException($"Destination begin indices must be smaller than destination end indices, but destination length was {destinationLength}.");
 
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index 1fb50117..723b2328 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -47,12 +47,23 @@ private static void Main(string[] args)
             SigmaEnvironment.EnableLogging(xml: true);
             SigmaEnvironment.Globals["web_proxy"] = WebUtils.GetProxyFromFileOrDefault(".customproxy");
 
-            SampleIris();
+            SampleXOR();
 
             Console.WriteLine("Program ended, waiting for termination, press any key...");
             Console.ReadKey();
         }
 
+        private static void SampleXOR()
+        {
+            SigmaEnvironment sigma = SigmaEnvironment.Create("xor");
+            RawDataset dataset = new RawDataset("xor");
+
+            dataset.AddRecords("inputs", new[] { 0, 1 }, new[] { 2, 3 }, new[] { 4, 5 }, new[] { 6, 7 });
+            dataset.AddRecords("targets", new[] { 0 }, new[] { 1 }, new[] { 1 }, new[] { 0 });
+            dataset.AddRecords("inputs", new[] { 8, 9 });
+            dataset.AddRecords("targets", new[] { 1 });
+        }
+
         private static void SampleIris()
         {
             SigmaEnvironment sigma = SigmaEnvironment.Create("trainer_test");
diff --git a/Sigma.Tests/Training/Initialisers/TestConstantValueInitialiser.cs b/Sigma.Tests/Training/Initialisers/TestConstantValueInitialiser.cs
index 9edbc610..20acf8ea 100644
--- a/Sigma.Tests/Training/Initialisers/TestConstantValueInitialiser.cs
+++ b/Sigma.Tests/Training/Initialisers/TestConstantValueInitialiser.cs
@@ -13,6 +13,7 @@ For full license see LICENSE in the root directory of this project.
 using System;
 using Sigma.Core.Handlers.Backends.SigmaDiff.NativeCpu;
 using Sigma.Core.MathAbstract.Backends.SigmaDiff;
+using Sigma.Core.MathAbstract.Backends.SigmaDiff.NativeCpu;
 
 namespace Sigma.Tests.Training.Initialisers
 {
@@ -23,9 +24,10 @@ public void TestConstantValueInitialiserInitialise()
 		{
 			ConstantValueInitialiser initialiser = new ConstantValueInitialiser(2.0);
 
-			INDArray array = new ADNDArray<float>(2, 1, 2, 2);
 			IComputationHandler handler = new CpuFloat32Handler();
-			Random random = new Random();
+		    INDArray array = handler.NDArray(2L, 1L, 2L, 2L);
+
+            Random random = new Random();
 
 			Assert.Throws<ArgumentNullException>(() => initialiser.Initialise((INDArray) null, handler, random));
 			Assert.Throws<ArgumentNullException>(() => initialiser.Initialise((INumber) null, handler, random));

From ee75cc5a55be633fcc3bdf7c73cf21e141fe3f93 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Wed, 26 Apr 2017 21:05:55 +0200
Subject: [PATCH 38/40] Add RawDataset block fetching, refactor IDataset metric
 field

---
 .../Data/Datasets/DatasetBlockwiseSlice.cs    |   2 +-
 .../Data/Datasets/DatasetRecordwiseSlice.cs   |   2 +-
 Sigma.Core/Data/Datasets/ExtractedDataset.cs  |   6 +-
 Sigma.Core/Data/Datasets/IDataset.cs          |   2 +-
 Sigma.Core/Data/Datasets/RawDataset.cs        | 153 ++++++++++++------
 5 files changed, 107 insertions(+), 58 deletions(-)

diff --git a/Sigma.Core/Data/Datasets/DatasetBlockwiseSlice.cs b/Sigma.Core/Data/Datasets/DatasetBlockwiseSlice.cs
index f2643b5c..31509525 100644
--- a/Sigma.Core/Data/Datasets/DatasetBlockwiseSlice.cs
+++ b/Sigma.Core/Data/Datasets/DatasetBlockwiseSlice.cs
@@ -50,7 +50,7 @@ public long MaxBytesInCache
 		}
 		public string[] SectionNames => UnderlyingDataset.SectionNames;
 		public IReadOnlyCollection<int> ActiveBlockIndices => UnderlyingDataset.ActiveBlockIndices;
-		public int ActiveIndividualBlockCount => UnderlyingDataset.ActiveIndividualBlockCount;
+		public int ActiveIndividualBlockRegionCount => UnderlyingDataset.ActiveIndividualBlockRegionCount;
 		public int ActiveBlockRegionCount => UnderlyingDataset.ActiveBlockRegionCount;
 
 		/// <summary>
diff --git a/Sigma.Core/Data/Datasets/DatasetRecordwiseSlice.cs b/Sigma.Core/Data/Datasets/DatasetRecordwiseSlice.cs
index d4659f71..f8714d6b 100644
--- a/Sigma.Core/Data/Datasets/DatasetRecordwiseSlice.cs
+++ b/Sigma.Core/Data/Datasets/DatasetRecordwiseSlice.cs
@@ -48,7 +48,7 @@ public long MaxBytesInCache
 		}
 		public string[] SectionNames => UnderlyingDataset.SectionNames;
 		public IReadOnlyCollection<int> ActiveBlockIndices => UnderlyingDataset.ActiveBlockIndices;
-		public int ActiveIndividualBlockCount => UnderlyingDataset.ActiveIndividualBlockCount;
+		public int ActiveIndividualBlockRegionCount => UnderlyingDataset.ActiveIndividualBlockRegionCount;
 		public int ActiveBlockRegionCount => UnderlyingDataset.ActiveBlockRegionCount;
 
 		/// <summary>
diff --git a/Sigma.Core/Data/Datasets/ExtractedDataset.cs b/Sigma.Core/Data/Datasets/ExtractedDataset.cs
index 138846b0..9ca598a9 100644
--- a/Sigma.Core/Data/Datasets/ExtractedDataset.cs
+++ b/Sigma.Core/Data/Datasets/ExtractedDataset.cs
@@ -64,7 +64,7 @@ public class ExtractedDataset : IDataset, ISerialisationNotifier
         public int ActiveBlockRegionCount => _activeBlocks.Count;
 
         /// <inheritdoc />
-        public int ActiveIndividualBlockCount { get { return _activeBlocks.Values.Sum(set => set.Count); } }
+        public int ActiveIndividualBlockRegionCount { get { return _activeBlocks.Values.Sum(set => set.Count); } }
 
         /// <inheritdoc />
         public int TargetBlockSizeRecords { get; private set; }
@@ -241,7 +241,7 @@ public void OnSerialised()
         public void OnDeserialised()
         {
             InvalidateAndClearCaches();
-            _availableBlocksSemaphore = new Semaphore(MaxConcurrentActiveBlocks - ActiveIndividualBlockCount, MaxConcurrentActiveBlocks);
+            _availableBlocksSemaphore = new Semaphore(MaxConcurrentActiveBlocks - ActiveIndividualBlockRegionCount, MaxConcurrentActiveBlocks);
         }
 
         public IDataset[] SplitBlockwise(params int[] parts)
@@ -494,7 +494,7 @@ private Dictionary<string, INDArray> FetchBlockWhenAvailable(int blockIndex, ICo
 
         private Dictionary<string, INDArray> FetchBlockConstrained(int blockIndex, IComputationHandler handler)
         {
-            if (ActiveIndividualBlockCount >= MaxConcurrentActiveBlocks)
+            if (ActiveIndividualBlockRegionCount >= MaxConcurrentActiveBlocks)
             {
                 _logger.Debug($"Unable to fetch block due to MaxConcurrentActiveBlocks constraint of {MaxConcurrentActiveBlocks}.");
 
diff --git a/Sigma.Core/Data/Datasets/IDataset.cs b/Sigma.Core/Data/Datasets/IDataset.cs
index a4ffc1c2..558b9fbc 100644
--- a/Sigma.Core/Data/Datasets/IDataset.cs
+++ b/Sigma.Core/Data/Datasets/IDataset.cs
@@ -76,7 +76,7 @@ public interface IDataset : IDisposable
 		/// <summary>
 		/// The number of currently active and loaded record blocks, with different block formats counting as different blocks. 
 		/// </summary>
-		int ActiveIndividualBlockCount { get; }
+		int ActiveIndividualBlockRegionCount { get; }
 
 		/// <summary>
 		/// The number of currently active and loaded record blocks, with different block formats of the same region counting as one active block index.
diff --git a/Sigma.Core/Data/Datasets/RawDataset.cs b/Sigma.Core/Data/Datasets/RawDataset.cs
index eb2978e5..c9be7ad6 100644
--- a/Sigma.Core/Data/Datasets/RawDataset.cs
+++ b/Sigma.Core/Data/Datasets/RawDataset.cs
@@ -84,12 +84,12 @@ public class RawDataset : IDataset
         /// <summary>
         /// The number of currently active and loaded record blocks, with different block formats counting as different blocks. 
         /// </summary>
-        public int ActiveIndividualBlockCount { get; }
+        public int ActiveIndividualBlockRegionCount => _rawData.Count;
 
         /// <summary>
         /// The number of currently active and loaded record blocks, with different block formats of the same region counting as one active block index.
         /// </summary>
-        public int ActiveBlockRegionCount { get; }
+        public int ActiveBlockRegionCount => _rawData.Count & 0b1; // can only be 1 active block
 
         /// <summary>
         /// The current working data that can be edited and is "flushed" to the public raw data with the next <see cref="FetchBlock"/> call.
@@ -101,12 +101,10 @@ public class RawDataset : IDataset
         /// </summary>
         private readonly IDictionary<IComputationHandler, IDictionary<string, INDArray>> _rawData;
 
-
         /// <summary>
         /// Create a raw dataset with a certain name and an internal cpu handler with 32-bit float precision.
         /// </summary>
         /// <param name="name">The globally unique name of this dataset.</param>
-        /// <param name="internalHandler">The internal handler to use for data management.</param>
         public RawDataset(string name) : this(name, new CpuFloat32Handler())
         {
         }
@@ -124,25 +122,55 @@ public RawDataset(string name, IComputationHandler internalHandler)
             Name = name;
             _internalHandler = internalHandler;
 
-            _internalWorkingData = new Dictionary<string, INDArray>();
+            _internalWorkingData = new ConcurrentDictionary<string, INDArray>();
             _rawData = new ConcurrentDictionary<IComputationHandler, IDictionary<string, INDArray>>();
         }
 
+        /// <summary>
+        /// Add a record to a certain block.
+        /// Note: Feature shape is length of record, no time dimension, auto batch dimension.
+        /// </summary>
+        /// <typeparam name="T">The record data type (must be primitive data type).</typeparam>
+        /// <param name="blockName">The block name (e.g. "inputs").</param>
+        /// <param name="record">The record.</param>
         public void AddRecord<T>(string blockName, params T[] record)
         {
             AddShapedRecords<T>(blockName, new long[] { record.Length }, new[] { record });
         }
 
-        public void AddRecord<T>(string blockName, long[] featureShape, params T[][] records)
+        /// <summary>
+        /// Add a record with a certain feature shape to a certain block.
+        /// Note: Feature shape is as specified, no time dimension, auto batch dimension.
+        /// </summary>
+        /// <typeparam name="T">The record data type (must be primitive data type).</typeparam>
+        /// <param name="blockName">The block name (e.g. "inputs").</param>
+        /// <param name="featureShape">The feature shape.</param>
+        /// <param name="record">The record.</param>
+        public void AddRecord<T>(string blockName, long[] featureShape, params T[] record)
         {
-            AddShapedRecords<T>(blockName, featureShape, records);
+            AddShapedRecords<T>(blockName, featureShape, record);
         }
 
+        /// <summary>
+        /// Add records to a certain block.
+        /// Note: Feature shape is length of record, no time dimension, auto batch dimension.
+        /// </summary>
+        /// <typeparam name="T">The record data type (must be primitive data type).</typeparam>
+        /// <param name="blockName">The block name (e.g. "inputs").</param>
+        /// <param name="records">The records.</param>
         public void AddRecords<T>(string blockName, params T[][] records)
         {
             AddShapedRecords<T>(blockName, new long[] { records[0].Length }, records);
         }
 
+        /// <summary>
+        /// Add records with a certain feature shape to a certain block.
+        /// Note: Feature shape is as specified, no time dimension, auto batch dimension.
+        /// </summary>
+        /// <typeparam name="T">The record data type (must be primitive data type).</typeparam>
+        /// <param name="blockName">The block name (e.g. "inputs").</param>
+        /// <param name="featureShape">The feature shape.</param>
+        /// <param name="records">The records.</param>
         public void AddShapedRecords<T>(string blockName, long[] featureShape, params T[][] records)
         {
             if (records.Length == 0)
@@ -150,80 +178,102 @@ public void AddShapedRecords<T>(string blockName, long[] featureShape, params T[
                 return;
             }
 
-            lock (_internalWorkingData)
+            long featureLength = ArrayUtils.Product(featureShape);
+            long[] newShape = ArrayUtils.Concatenate(new long[] {records.Length, 1}, featureShape); // BatchTimeFeatures shape order, time dimension is not supported at the moment
+            long[] insertedShape = (long[]) newShape.Clone();
+            bool previousBlockExists = _internalWorkingData.ContainsKey(blockName);
+
+            if (previousBlockExists)
             {
-                long featureLength = ArrayUtils.Product(featureShape);
-                long[] newShape = ArrayUtils.Concatenate(new long[] { records.Length, 1 }, featureShape); // BatchTimeFeatures shape order, time dimension is not supported at the moment
-                long[] insertedShape = (long[]) newShape.Clone();
-                bool previousBlockExists = _internalWorkingData.ContainsKey(blockName);
+                newShape[0] += _internalWorkingData[blockName].Shape[0]; // append new record to end
+            }
 
-                if (previousBlockExists)
-                {
-                    newShape[0] += _internalWorkingData[blockName].Shape[0]; // append new record to end
-                }
+            INDArray newBlock = _internalHandler.NDArray(newShape);
 
-                INDArray newBlock = _internalHandler.NDArray(newShape);
+            long[] destinationBegin = new long[newBlock.Rank];
 
-                long[] destinationBegin = new long[newBlock.Rank];
+            if (previousBlockExists)
+            {
+                INDArray oldBlock = _internalWorkingData[blockName];
 
-                if (previousBlockExists)
+                for (int i = 1; i < oldBlock.Shape.Length; i++)
                 {
-                    INDArray oldBlock = _internalWorkingData[blockName];
-
-                    for (int i = 1; i < oldBlock.Shape.Length; i++)
+                    if (newShape[i] != oldBlock.Shape[i])
                     {
-                        if (newShape[i] != oldBlock.Shape[i])
-                        {
-                            throw new InvalidOperationException($"Shape mismatch: already existing block for \"{blockName}\" has shape {ArrayUtils.ToString(oldBlock.Shape)} but new block has shape {ArrayUtils.ToString(newShape)}");
-                        }
+                        throw new InvalidOperationException($"Shape mismatch: already existing block for \"{blockName}\" has shape {ArrayUtils.ToString(oldBlock.Shape)} but new block has shape {ArrayUtils.ToString(newShape)}");
                     }
+                }
 
-                    long[] previousSourceBegin = new long[oldBlock.Rank];
-                    long[] previousSourceEnd = oldBlock.Shape.Select(i => i - 1).ToArray();
+                long[] previousSourceBegin = new long[oldBlock.Rank];
+                long[] previousSourceEnd = oldBlock.Shape.Select(i => i - 1).ToArray();
 
-                    _internalHandler.Fill(oldBlock, newBlock, previousSourceBegin, previousSourceEnd, previousSourceBegin, previousSourceEnd);
+                _internalHandler.Fill(oldBlock, newBlock, previousSourceBegin, previousSourceEnd, previousSourceBegin, previousSourceEnd);
 
-                    destinationBegin[0] = oldBlock.Shape[0];
-                }
+                destinationBegin[0] = oldBlock.Shape[0];
+            }
 
-                long[] destinationEnd = insertedShape.Select(i => i - 1).ToArray();
-                destinationEnd[0] = destinationBegin[0];
+            long[] destinationEnd = insertedShape.Select(i => i - 1).ToArray();
+            destinationEnd[0] = destinationBegin[0];
 
-                for (int i = 0; i < records.Length; i++)
-                {
-                    _internalHandler.Fill(records[i], newBlock, destinationBegin, destinationEnd);
+            for (int i = 0; i < records.Length; i++)
+            {
+                _internalHandler.Fill(records[i], newBlock, destinationBegin, destinationEnd);
 
-                    destinationBegin[0]++;
-                    destinationEnd[0]++;
-                }
+                destinationBegin[0]++;
+                destinationEnd[0]++;
+            }
 
-                if (previousBlockExists)
-                {
-                    _internalWorkingData[blockName] = newBlock;
-                }
-                else
-                {
-                    _internalWorkingData.Add(blockName, newBlock);
-                }
+            if (previousBlockExists)
+            {
+                _internalWorkingData[blockName] = newBlock;
+            }
+            else
+            {
+                _internalWorkingData.Add(blockName, newBlock);
             }
         }
 
         /// <inheritdoc />
         public IDictionary<string, INDArray> FetchBlock(int blockIndex, IComputationHandler handler, bool shouldWaitUntilAvailable = true)
         {
-            throw new NotImplementedException();
+            if (blockIndex != 0 || _internalWorkingData.Count == 0)
+            {
+                return null; // there is only 1 block in this raw dataset implementation (so if there's no data, there's no block)
+            }
+
+            if (IsBlockActive(blockIndex, handler))
+            {
+                return _rawData[handler];
+            }
+
+            if (handler.CanConvert(_internalWorkingData.Values.First(), _internalHandler))
+            {
+                IDictionary<string, INDArray> convertedBlock = new Dictionary<string, INDArray>();
+
+                foreach (string blockName in _internalWorkingData.Keys)
+                {
+                    convertedBlock[blockName] = handler.Convert(_internalWorkingData[blockName], _internalHandler);
+                }
+
+                return convertedBlock;
+            }
+
+            return null;
         }
 
         /// <inheritdoc />
-        public Task<IDictionary<string, INDArray>> FetchBlockAsync(int blockIndex, IComputationHandler handler, bool shouldWaitUntilAvailable = true)
+        public async Task<IDictionary<string, INDArray>> FetchBlockAsync(int blockIndex, IComputationHandler handler, bool shouldWaitUntilAvailable = true)
         {
-            throw new NotImplementedException();
+            return await Task.Run(() => FetchBlock(blockIndex, handler, shouldWaitUntilAvailable));
         }
 
         /// <inheritdoc />
         public void FreeBlock(int blockIndex, IComputationHandler handler)
         {
-            throw new NotImplementedException();
+            if (IsBlockActive(blockIndex, handler))
+            {
+                _rawData.Remove(handler);
+            }
         }
 
         /// <inheritdoc />
@@ -277,7 +327,6 @@ public IDataset[] SplitRecordwise(params double[] percentages)
         /// <summary>Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.</summary>
         public void Dispose()
         {
-
         }
     }
 }

From 01cf65dea094b45b0b5ab29c6939d6ed19c477ee Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florian=20C=C3=A4sar?= <florian.caesar@outlook.com>
Date: Fri, 28 Apr 2017 19:04:07 +0200
Subject: [PATCH 39/40] Improve RawDataset record insertion, fix SoftmaxCE on
 targets of 1

---
 Sigma.Core/Data/Datasets/RawDataset.cs        | 25 +++++++++++--------
 .../Cost/SoftMaxCrossEntropyCostLayer.cs      |  2 +-
 .../Hooks/Reporters/ValueReporterHook.cs      |  2 +-
 Sigma.Tests.Internals.Backend/Program.cs      | 21 +++++++++++++---
 4 files changed, 33 insertions(+), 17 deletions(-)

diff --git a/Sigma.Core/Data/Datasets/RawDataset.cs b/Sigma.Core/Data/Datasets/RawDataset.cs
index c9be7ad6..5ac3e388 100644
--- a/Sigma.Core/Data/Datasets/RawDataset.cs
+++ b/Sigma.Core/Data/Datasets/RawDataset.cs
@@ -23,6 +23,7 @@ namespace Sigma.Core.Data.Datasets
     /// <summary>
     /// A raw in-system-memory dataset which can be manually 
     /// </summary>
+    [Serializable]
     public class RawDataset : IDataset
     {
         private readonly IComputationHandler _internalHandler;
@@ -89,7 +90,7 @@ public class RawDataset : IDataset
         /// <summary>
         /// The number of currently active and loaded record blocks, with different block formats of the same region counting as one active block index.
         /// </summary>
-        public int ActiveBlockRegionCount => _rawData.Count & 0b1; // can only be 1 active block
+        public int ActiveBlockRegionCount => _rawData.Count & 0x1; // can only be 1 active block
 
         /// <summary>
         /// The current working data that can be edited and is "flushed" to the public raw data with the next <see cref="FetchBlock"/> call.
@@ -179,8 +180,8 @@ public void AddShapedRecords<T>(string blockName, long[] featureShape, params T[
             }
 
             long featureLength = ArrayUtils.Product(featureShape);
-            long[] newShape = ArrayUtils.Concatenate(new long[] {records.Length, 1}, featureShape); // BatchTimeFeatures shape order, time dimension is not supported at the moment
-            long[] insertedShape = (long[]) newShape.Clone();
+            long[] newShape = ArrayUtils.Concatenate(new long[] { records.Length, 1 }, featureShape); // BatchTimeFeatures shape order, time dimension is not supported at the moment
+            long[] insertedShape = (long[])newShape.Clone();
             bool previousBlockExists = _internalWorkingData.ContainsKey(blockName);
 
             if (previousBlockExists)
@@ -246,19 +247,21 @@ public IDictionary<string, INDArray> FetchBlock(int blockIndex, IComputationHand
                 return _rawData[handler];
             }
 
-            if (handler.CanConvert(_internalWorkingData.Values.First(), _internalHandler))
+            if (!handler.CanConvert(_internalWorkingData.Values.First(), _internalHandler))
             {
-                IDictionary<string, INDArray> convertedBlock = new Dictionary<string, INDArray>();
+                return null;
+            }
 
-                foreach (string blockName in _internalWorkingData.Keys)
-                {
-                    convertedBlock[blockName] = handler.Convert(_internalWorkingData[blockName], _internalHandler);
-                }
+            IDictionary<string, INDArray> convertedBlock = new Dictionary<string, INDArray>();
 
-                return convertedBlock;
+            foreach (string blockName in _internalWorkingData.Keys)
+            {
+                convertedBlock[blockName] = handler.Convert(_internalWorkingData[blockName], _internalHandler);
             }
 
-            return null;
+            _rawData.Add(handler, convertedBlock);
+
+            return convertedBlock;
         }
 
         /// <inheritdoc />
diff --git a/Sigma.Core/Layers/Cost/SoftMaxCrossEntropyCostLayer.cs b/Sigma.Core/Layers/Cost/SoftMaxCrossEntropyCostLayer.cs
index 7687f41e..4d872fcf 100644
--- a/Sigma.Core/Layers/Cost/SoftMaxCrossEntropyCostLayer.cs
+++ b/Sigma.Core/Layers/Cost/SoftMaxCrossEntropyCostLayer.cs
@@ -36,7 +36,7 @@ protected override INumber CalculateCost(INDArray predictions, INDArray targets,
 			INDArray a = handler.Multiply(targets, logPredictions);
 
 			INDArray inverseTargets = handler.Subtract(1, targets);
-			INDArray inversePredictions = handler.Subtract(1, predictions);
+			INDArray inversePredictions = handler.Subtract(1 + 1e-6, predictions);
 			INDArray b = handler.Multiply(inverseTargets, handler.Log(inversePredictions));
 
 			INumber cost = handler.Divide(handler.Sum(handler.Add(a, b)), -predictions.Shape[0]);
diff --git a/Sigma.Core/Training/Hooks/Reporters/ValueReporterHook.cs b/Sigma.Core/Training/Hooks/Reporters/ValueReporterHook.cs
index f79466e8..d0a0eda5 100644
--- a/Sigma.Core/Training/Hooks/Reporters/ValueReporterHook.cs
+++ b/Sigma.Core/Training/Hooks/Reporters/ValueReporterHook.cs
@@ -30,7 +30,7 @@ public class ValueReporterHook : BaseHook
 		/// <param name="valueIdentifier">The value that will be fetched (i.e. registry identifier). E.g. <c>"optimiser.cost_total"</c></param>
 		/// <param name="timestep">The <see cref="ITimeStep"/> the hook will executed on.</param>
 		/// <param name="reportEpochIteration">Indicate whether or not to report the current epoch and iteration in addition to the values.</param>
-		public ValueReporterHook(string valueIdentifier, ITimeStep timestep, bool reportEpochIteration = false) : this(new[] { valueIdentifier }, timestep, reportEpochIteration) { }
+		public ValueReporterHook(string valueIdentifier, ITimeStep timestep, bool reportEpochIteration = false) : this(new[] { valueIdentifier }, timestep, reportEpochIteration: reportEpochIteration) { }
 
 		/// <summary>
 		/// Create a hook that conditionally (extrema criteria) fetches a given value (i.e. registry identifier) at a given <see cref="ITimeStep"/>.
diff --git a/Sigma.Tests.Internals.Backend/Program.cs b/Sigma.Tests.Internals.Backend/Program.cs
index 723b2328..74d49456 100644
--- a/Sigma.Tests.Internals.Backend/Program.cs
+++ b/Sigma.Tests.Internals.Backend/Program.cs
@@ -56,12 +56,25 @@ private static void Main(string[] args)
         private static void SampleXOR()
         {
             SigmaEnvironment sigma = SigmaEnvironment.Create("xor");
-            RawDataset dataset = new RawDataset("xor");
+            sigma.Prepare();
 
-            dataset.AddRecords("inputs", new[] { 0, 1 }, new[] { 2, 3 }, new[] { 4, 5 }, new[] { 6, 7 });
+            RawDataset dataset = new RawDataset("xor");
+            dataset.AddRecords("inputs", new[] { 0, 0 }, new[] { 0, 1 }, new[] { 1, 0 }, new[] { 1, 1 });
             dataset.AddRecords("targets", new[] { 0 }, new[] { 1 }, new[] { 1 }, new[] { 0 });
-            dataset.AddRecords("inputs", new[] { 8, 9 });
-            dataset.AddRecords("targets", new[] { 1 });
+
+            ITrainer trainer = sigma.CreateTrainer("xor-trainer");
+
+            trainer.Network = new Network();
+            trainer.Network.Architecture = InputLayer.Construct(2) + FullyConnectedLayer.Construct(2) + FullyConnectedLayer.Construct(1) + OutputLayer.Construct(1) + SquaredDifferenceCostLayer.Construct();
+            trainer.TrainingDataIterator = new MinibatchIterator(1, dataset);
+            trainer.Operator = new CpuSinglethreadedOperator();
+            trainer.Optimiser = new GradientDescentOptimiser(learningRate: 0.01);
+
+            trainer.AddInitialiser("*.*", new GaussianInitialiser(standardDeviation: 0.1));
+
+            trainer.AddLocalHook(new ValueReporterHook("optimiser.cost_total", TimeStep.Every(1, TimeScale.Epoch), reportEpochIteration: true));
+
+            sigma.Run();
         }
 
         private static void SampleIris()

From 60f3d857ed2a95e7cd12c62b182cb1a039eadc75 Mon Sep 17 00:00:00 2001
From: Michael Plainer <plainer@ymail.com>
Date: Fri, 28 Apr 2017 21:07:41 +0200
Subject: [PATCH 40/40] Improve installation guide

Add change to .NET 46
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 46866e9f..24a9040d 100644
--- a/README.md
+++ b/README.md
@@ -18,7 +18,7 @@ Short overview about why anyone would use this, how it came to be (even shorter)
 The recommended way to use the latest version of Sigma is adding the NuGet package to your project. 
 You can either include the core framework (command line only) [![Nuget (PreRelease)](https://img.shields.io/nuget/vpre/Sigma.Core.svg?style=flat-square)](https://www.nuget.org/packages/Sigma.Core) or the WPF visualiser (only works on Windows) which also references the core framework [![Nuget (PreRelease WPF)](https://img.shields.io/nuget/vpre/Sigma.Core.Monitors.WPF.svg?style=flat-square)](https://www.nuget.org/packages/Sigma.Core.Monitors.WPF). 
 
-In both cases, you can use any project with a main (ConsoleApplication) but you have to change the project settings to x64 since **Sigma only supports 64bit mode**.
+In both cases, you can use any project with a main (ConsoleApplication) but you have to change the project settings to x64 (since **Sigma only supports 64bit mode**) and change the target framework to **.NET 4.6** before installing the NuGet packages.
 
 
 ### From source