[mtAE] updated code for newer versions of torch

Author: julien-tierny

core/base/mergeTreeAutoencoder/MergeTreeAutoencoder.cpp

@@ -718,7 +718,7 @@ void ttk::MergeTreeAutoencoder::createCustomRecs() {
       for(unsigned int j = 0; j < allAlphasInit.size(); ++j) {
         allAlphasInit[j]
           = torch::randn({layers_[l].getVSTensor().sizes()[1], 1});
-        auto norm = torch::linalg::vector_norm(
+        auto norm = torch::linalg_vector_norm(
           allAlphasInit[j], 2, 0, false, c10::nullopt);
         if(j == 0 or maxNorm.item<float>() < norm.item<float>())
           maxNorm = norm;

core/base/mergeTreeNeuralNetwork/MergeTreeNeuralLayer.cpp

@@ -403,7 +403,7 @@ void ttk::MergeTreeNeuralLayer::initInputBasisVectors(
                                        torch::Tensor &axes) {
       torch::Tensor w = torch::zeros({noVectors, originT.tensor.sizes()[0]});
       torch::nn::init::xavier_normal_(w);
-      axes = torch::linalg::pinv(w);
+      axes = torch::linalg_pinv(w);
     };
     initRandomAxes(origin, vSTensor);
     if(useGpu_)
@@ -755,7 +755,7 @@ void ttk::MergeTreeNeuralLayer::computeAlphas(
     r_data = r_data.cpu();
   }
   alphasOut
-    = std::get<0>(torch::linalg::lstsq(r_axes, r_data, c10::nullopt, driver));
+    = std::get<0>(torch::linalg_lstsq(r_axes, r_data, c10::nullopt, driver));
   if(!is_cpu)
     alphasOut = alphasOut.to(device);