message: Clone convolution layer weights only for fusion
diff: @@ -278,7 +278,7 @@ public:
  const int outCn = blobs[0].size[0];
  // 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).clone();
  + Mat wm = blobs[0].reshape(1, outCn);
  if( wm.step1() % VEC_ALIGN != 0 )
  {
  int newcols = (int)alignSize(wm.step1(), VEC_ALIGN);
  @@ -371,6 +371,10 @@ public:
  if (!w.empty())
  {
  + // Keep origin weights unchanged.
  + if (weightsMat.data == blobs[0].data)
  + weightsMat = weightsMat.clone();
  +
  Mat originWeights = blobs[0].reshape(1, outCn);
  for (int i = 0; i < outCn; ++i)
  {
  