Align convolutional layer weights separately from origin ones

dkurt · dkurt · commit b46f5b1b3866 · 2017-06-28T17:05:56.000+03:00
diff --git a/modules/dnn/src/layers/convolution_layer.cpp b/modules/dnn/src/layers/convolution_layer.cpp
@@ -638,7 +638,7 @@ class ConvolutionLayerImpl : public BaseConvolutionLayerImpl
         {
             // prepare weightsMat where each row is aligned and has enough zero padding on the right to
             // use vectorized (i.e. with intrinsics) loops without tail processing
-            Mat wm = blobs[0].reshape(1, outCn);
+            Mat wm = blobs[0].reshape(1, outCn).clone();
             if( wm.step1() % VEC_ALIGN != 0 )
             {
                 int newcols = (int)alignSize(wm.step1(), VEC_ALIGN);

Original file line number	Diff line number	Diff line change
`@@ -638,7 +638,7 @@ class ConvolutionLayerImpl : public BaseConvolutionLayerImpl`
`638`	`638`	`{`
`639`	`639`	`// prepare weightsMat where each row is aligned and has enough zero padding on the right to`
`640`	`640`	`// use vectorized (i.e. with intrinsics) loops without tail processing`
`641`		`- Mat wm = blobs[0].reshape(1, outCn);`
	`641`	`+ Mat wm = blobs[0].reshape(1, outCn).clone();`
`642`	`642`	`if( wm.step1() % VEC_ALIGN != 0 )`
`643`	`643`	`{`
`644`	`644`	`int newcols = (int)alignSize(wm.step1(), VEC_ALIGN);`