re-order parameters to put result at the end (like the rest)

Author: cbovar

src/ConvNetSharp.Flow.Tests/VolumeMock.cs

@@ -63,7 +63,7 @@ public override void Dropout(double dropProbability, Volume<double> result)
             throw new NotImplementedException();
         }
 
-        public override void DropoutGradient(Volume<double> input, Volume<double> outputGradient, Volume<double> inputGradient, double dropProbability)
+        public override void DropoutGradient(Volume<double> input, Volume<double> outputGradient, double dropProbability, Volume<double> inputGradient)
         {
             throw new NotImplementedException();
         }

src/ConvNetSharp.Volume.GPU/Double/Volume.cs

@@ -456,7 +456,7 @@ public override void Dropout(double dropProbability, Volume<double> result)
             }
         }
 
-        public override void DropoutGradient(Volume<double> input, Volume<double> outputGradient, Volume<double> inputGradient, double dropProbability)
+        public override void DropoutGradient(Volume<double> input, Volume<double> outputGradient, double dropProbability, Volume<double> inputGradient)
         {
             var outputStorage = this.Storage as VolumeStorage;
             var inputStorage = input.Storage as VolumeStorage;

src/ConvNetSharp.Volume.GPU/Single/Volume.cs

@@ -43,7 +43,7 @@ public Volume(float[] array, Shape shape, GpuContext context) : base(new VolumeS
         private void Activation(Volume<float> result, cudnnActivationMode mode)
         {
             var resultStorage = result.Storage as VolumeStorage;
-            if (resultStorage == null)
+            if (!(resultStorage != null))
             {
                 throw new ArgumentException($"{nameof(result)} storage should be VolumeStorage", nameof(result));
             }
@@ -468,7 +468,7 @@ public override void Dropout(float dropProbability, Volume<float> result)
             }
         }
 
-        public override void DropoutGradient(Volume<float> input, Volume<float> outputGradient, Volume<float> inputGradient, float dropProbability)
+        public override void DropoutGradient(Volume<float> input, Volume<float> outputGradient, float dropProbability, Volume<float> inputGradient)
         {
             var outputStorage = this.Storage as VolumeStorage;
             var inputStorage = input.Storage as VolumeStorage;

src/ConvNetSharp.Volume/Double/Volume.cs

@@ -287,7 +287,7 @@ public override void Dropout(double dropProbability, Volume<double> result)
             }
         }
 
-        public override void DropoutGradient(Volume<double> input, Volume<double> outputGradient, Volume<double> inputGradient, double dropProbability)
+        public override void DropoutGradient(Volume<double> input, Volume<double> outputGradient, double dropProbability, Volume<double> inputGradient)
         {
             outputGradient.Storage.Map((x, i) =>
             {

src/ConvNetSharp.Volume/Single/Volume.cs

@@ -287,7 +287,7 @@ public override void Dropout(float dropProbability, Volume<float> result)
             }
         }
 
-        public override void DropoutGradient(Volume<float> input, Volume<float> outputGradient, Volume<float> inputGradient, float dropProbability)
+        public override void DropoutGradient(Volume<float> input, Volume<float> outputGradient, float dropProbability, Volume<float> inputGradient)
         {
             outputGradient.Storage.Map((x, i) =>
             {

src/ConvNetSharp.Volume/Volume.cs

@@ -109,7 +109,7 @@ public abstract void ConvolutionGradient(Volume<T> filters, Volume<T> outputGrad
         /// <param name="result">Output volume</param>
         public abstract void Dropout(T dropProbability, Volume<T> result);
 
-        public abstract void DropoutGradient(Volume<T> input, Volume<T> outputGradient, Volume<T> inputGradient, T dropProbability);
+        public abstract void DropoutGradient(Volume<T> input, Volume<T> outputGradient, T dropProbability, Volume<T> inputGradient);
 
         public abstract void Exp(Volume<T> result);