message: Fix weights fusion for Convolution and Deconvolution layers in nGraph
diff: @@ -553,10 +553,10 @@ public:
  }
  else
  {
  - Mat newWeights = blobs[0].reshape(1, outCn);
  - Mat cvWeights = weightsMat.colRange(0, newWeights.cols);
  + Mat newWeights;
  + Mat cvWeights = weightsMat.colRange(0, blobs[0].total() / outCn);
  cvWeights.copyTo(newWeights);
  - ieWeights = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, kernel_shape, blobs[0].data);
  + ieWeights = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, kernel_shape, newWeights.data);
  }
  }
  @@ -2033,9 +2033,9 @@ public:
  if (fusedWeights)
  {
  - int inpCn = blobs[0].size[0];
  - Mat newWeights = blobs[0].reshape(1, inpCn);
  + Mat newWeights;
  transpose(weightsMat, newWeights);
  + ieWeights = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, kernel_shape, newWeights.data);
  }
  size_t batch = ieInpNode->get_shape()[0];
  std::vector<size_t> out_shape = {batch, (size_t)numOutput};
  