Added shared weights for MatMul

This commit is contained in:
Liubov Batanina 2021-01-22 16:47:02 +03:00
parent 0f968e3b6d
commit 38a49f92ab

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@ -1228,8 +1228,18 @@ void TFImporter::parseNode(const tensorflow::NodeDef& layer_)
int kernel_blob_index = -1;
const tensorflow::TensorProto& kernelTensor = getConstBlob(layer, value_id, -1, &kernel_blob_index);
blobFromTensor(kernelTensor, layerParams.blobs[0]);
releaseTensor(const_cast<tensorflow::TensorProto*>(&kernelTensor));
const String kernelTensorName = layer.input(kernel_blob_index);
std::map<String, Mat>::iterator sharedWeightsIt = sharedWeights.find(kernelTensorName);
if (sharedWeightsIt == sharedWeights.end())
{
blobFromTensor(kernelTensor, layerParams.blobs[0]);
releaseTensor(const_cast<tensorflow::TensorProto*>(&kernelTensor));
sharedWeights[kernelTensorName] = layerParams.blobs[0];
}
else
{
layerParams.blobs[0] = sharedWeightsIt->second;
}
if (kernel_blob_index == 1) { // In this case output is computed by x*W formula - W should be transposed
Mat data = layerParams.blobs[0].t();