Forgot to check-in Matlab files after building

src/MATLAB/+ImProc/+Local/Sum.m

+function valueOut = Sum(arrayIn,device,suppressWarning)
+     if (~exist('suppressWarning','var') || isempty(suppressWarning) || ~suppressWarning)
+         warning('Falling back to matlab.');
+     end
+     
+    valueOut = sum(arrayIn(:));
+end

src/MATLAB/+ImProc/@Cuda/Cuda.m

@@ -15,9 +15,12 @@ methods (Static)
     arrayOut = MeanFilter(arrayIn,kernel,numIterations,device)
     arrayOut = MedianFilter(arrayIn,kernel,numIterations,device)
     arrayOut = MinFilter(arrayIn,kernel,numIterations,device)
+    [minOut,maxOut] = MinMax(arrayIn,device)
     arrayOut = MultiplySum(arrayIn,kernel,numIterations,device)
     arrayOut = Opener(arrayIn,kernel,numIterations,device)
     arrayOut = StdFilter(arrayIn,kernel,numIterations,device)
+    valueOut = Sum(arrayIn,device)
+    arrayOut = WienerFilter(arrayIn,kernel,noiseVariance,device)
     shapeElement = ImProc.MakeBallMask(radius)
 end
 methods (Static, Access = private)

src/MATLAB/+ImProc/@Cuda/Sum.m

+% Sum - This sums up the entire array in.
+%    valueOut = ImProc.Cuda.Sum(arrayIn,[device])
+%    	imageIn = This is a one to five dimensional array. The first three dimensions are treated as spatial.
+%    		The spatial dimensions will have the kernel applied. The last two dimensions will determine
+%    		how to stride or jump to the next spatial block.
+%    
+%    	device (optional) = Use this if you have multiple devices and want to select one explicitly.
+%    		Setting this to [] allows the algorithm to either pick the best device and/or will try to split
+%    		the data across multiple devices.
+%    
+%    	valueOut = This is the summation of the entire array.
+function valueOut = Sum(arrayIn,device)
+    [valueOut] = ImProc.Cuda.Mex('Sum',arrayIn,device);
+end

src/MATLAB/+ImProc/MinMax.m

+% MinMax - This returns the global min and max values.
+%    [minOut,maxOut] = ImProc.MinMax(arrayIn,[device])
+%    	imageIn = This is a one to five dimensional array. The first three dimensions are treated as spatial.
+%    		The spatial dimensions will have the kernel applied. The last two dimensions will determine
+%    		how to stride or jump to the next spatial block.
+%    
+%    	device (optional) = Use this if you have multiple devices and want to select one explicitly.
+%    		Setting this to [] allows the algorithm to either pick the best device and/or will try to split
+%    		the data across multiple devices.
+%    
+%    	minOut = This is the minimum value found in the input.
+%    	maxOut = This is the maximum value found in the input.
+
+function [minOut,maxOut] = MinMax(arrayIn,device)
+    try
+        [minOut,maxOut] = ImProc.Cuda.MinMax(arrayIn,device);
+    catch errMsg
+        warning(errMsg.message);
+        [minOut,maxOut] = ImProc.Local.MinMax(arrayIn,device);
+    end
+end

src/MATLAB/+ImProc/Sum.m

+% Sum - This sums up the entire array in.
+%    valueOut = ImProc.Sum(arrayIn,[device])
+%    	imageIn = This is a one to five dimensional array. The first three dimensions are treated as spatial.
+%    		The spatial dimensions will have the kernel applied. The last two dimensions will determine
+%    		how to stride or jump to the next spatial block.
+%    
+%    	device (optional) = Use this if you have multiple devices and want to select one explicitly.
+%    		Setting this to [] allows the algorithm to either pick the best device and/or will try to split
+%    		the data across multiple devices.
+%    
+%    	valueOut = This is the summation of the entire array.
+
+function valueOut = Sum(arrayIn,device)
+    try
+        valueOut = ImProc.Cuda.Sum(arrayIn,device);
+    catch errMsg
+        warning(errMsg.message);
+        valueOut = ImProc.Local.Sum(arrayIn,device);
+    end
+end