Support latest libtorch 2.2.x

.github/workflows/cuda/Linux.sh

@@ -8,8 +8,8 @@ case ${1} in
   cu121)
     CUDA=12.1
     APT_KEY=${OS}-${CUDA/./-}-local
-    FILENAME=cuda-repo-${APT_KEY}_${CUDA}.0-530.30.02-1_amd64.deb
-    URL=https://developer.download.nvidia.com/compute/cuda/${CUDA}.0/local_installers
+    FILENAME=cuda-repo-${APT_KEY}_${CUDA}.1-530.30.02-1_amd64.deb
+    URL=https://developer.download.nvidia.com/compute/cuda/${CUDA}.1/local_installers
     ;;
   cu118)
     CUDA=11.8
@@ -64,7 +64,8 @@ else
   sudo apt-key add /var/cuda-repo-${APT_KEY}/7fa2af80.pub
 fi
 
-sudo apt-get update
-sudo apt-get -y install cuda
+sudo apt-get -qq update
+sudo apt install -y cuda-nvcc-${CUDA/./-} cuda-libraries-dev-${CUDA/./-} cuda-command-line-tools-${CUDA/./-}
+sudo apt clean
 
 rm -f ${FILENAME}

.github/workflows/ubuntu.yml

@@ -17,7 +17,7 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-22.04, ubuntu-20.04] # [ubuntu-22.04, ubuntu-20.04, ubuntu-18.04]
-        torch-version: [2.1.2] # [1.12.0, 1.13.0, 2.0.0, 2.1.0, 2.1.1, 2.1.2, 2.2.0]
+        torch-version: [2.1.2, 2.2.1] # [1.12.0, 1.13.0, 2.0.0, 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1]
         cuda-version: ['cu118', 'cu121'] # ['cpu', 'cu113', 'cu116', 'cu117']
         cmake-build-type: [Release] # [Debug, ClangTidy]
 
@@ -36,12 +36,18 @@ jobs:
           sudo apt-get update     
           sudo apt-get install -y \
             build-essential \
-            ccache \
             cmake \
             ninja-build \
             libopencv-dev \
             wget
 
+      - name: Install ccache
+        run: |
+          wget -nv https://github.com/ccache/ccache/releases/download/v4.9.1/ccache-4.9.1-linux-x86_64.tar.xz
+          sudo tar xf ccache-4.9.1-linux-x86_64.tar.xz -C /usr/bin --strip-components=1 --no-same-owner ccache-4.9.1-linux-x86_64/ccache
+          rm -f ccache-*-linux-x86_64.tar.xz
+          ccache --version
+
       - name: Install CUDA ${{ matrix.cuda-version }}
         if: ${{ matrix.cuda-version != 'cpu' }}
         run: |
@@ -83,7 +89,7 @@ jobs:
             -DCMAKE_PREFIX_PATH=${{ github.workspace }}/libtorch \
             -DCMAKE_INSTALL_PREFIX=${{github.workspace}}/install \
             -DCUDA_TOOLKIT_ROOT_DIR=$CUDA_HOME
-          ninja -k 8
+          ninja
 
       - name: Clean compiler cache
         run: |

model.cpp

@@ -187,7 +187,11 @@ int Model::getDownscaleFactor(int step){
 
 void Model::addToOptimizer(torch::optim::Adam *optimizer, const torch::Tensor &newParam, const torch::Tensor &idcs, int nSamples){
     torch::Tensor param = optimizer->param_groups()[0].params()[0];
+#if TORCH_VERSION_MAJOR == 2 && TORCH_VERSION_MINOR > 1
+    auto pId = param.unsafeGetTensorImpl();
+#else
     auto pId = c10::guts::to_string(param.unsafeGetTensorImpl());
+#endif
     auto paramState = std::make_unique<torch::optim::AdamParamState>(static_cast<torch::optim::AdamParamState&>(*optimizer->state()[pId]));
 
     std::vector<int64_t> repeats;
@@ -208,21 +212,33 @@ void Model::addToOptimizer(torch::optim::Adam *optimizer, const torch::Tensor &n
 
     optimizer->state().erase(pId);
 
+#if TORCH_VERSION_MAJOR == 2 && TORCH_VERSION_MINOR > 1
+    auto newPId = newParam.unsafeGetTensorImpl();
+#else
     auto newPId = c10::guts::to_string(newParam.unsafeGetTensorImpl());
+#endif    
     optimizer->state()[newPId] = std::move(paramState);
     optimizer->param_groups()[0].params()[0] = newParam;
 }
 
 void Model::removeFromOptimizer(torch::optim::Adam *optimizer, const torch::Tensor &newParam, const torch::Tensor &deletedMask){
     torch::Tensor param = optimizer->param_groups()[0].params()[0];
+#if TORCH_VERSION_MAJOR == 2 && TORCH_VERSION_MINOR > 1
+    auto pId = param.unsafeGetTensorImpl();
+#else
     auto pId = c10::guts::to_string(param.unsafeGetTensorImpl());
+#endif
     auto paramState = std::make_unique<torch::optim::AdamParamState>(static_cast<torch::optim::AdamParamState&>(*optimizer->state()[pId]));
 
     paramState->exp_avg(paramState->exp_avg().index({~deletedMask}));
     paramState->exp_avg_sq(paramState->exp_avg_sq().index({~deletedMask}));
 
     optimizer->state().erase(pId);
+#if TORCH_VERSION_MAJOR == 2 && TORCH_VERSION_MINOR > 1
+    auto newPId = newParam.unsafeGetTensorImpl();
+#else
     auto newPId = c10::guts::to_string(newParam.unsafeGetTensorImpl());
+#endif
     optimizer->param_groups()[0].params()[0] = newParam;
     optimizer->state()[newPId] = std::move(paramState);
 }
@@ -383,7 +399,11 @@ void Model::afterTrain(int step){
 
             // Reset optimizer
             torch::Tensor param = opacitiesOpt->param_groups()[0].params()[0];
-            auto pId = c10::guts::to_string(param.unsafeGetTensorImpl());
+            #if TORCH_VERSION_MAJOR == 2 && TORCH_VERSION_MINOR > 1
+                auto pId = param.unsafeGetTensorImpl();
+            #else
+                auto pId = c10::guts::to_string(param.unsafeGetTensorImpl());
+            #endif    
             auto paramState = std::make_unique<torch::optim::AdamParamState>(static_cast<torch::optim::AdamParamState&>(*opacitiesOpt->state()[pId]));
             paramState->exp_avg(torch::zeros_like(paramState->exp_avg()));
             paramState->exp_avg_sq(torch::zeros_like(paramState->exp_avg_sq()));

model.hpp

@@ -3,6 +3,7 @@
 
 #include <iostream>
 #include <torch/torch.h>
+#include <torch/csrc/api/include/torch/version.h>
 #include "nerfstudio.hpp"
 #include "kdtree_tensor.hpp"
 #include "spherical_harmonics.hpp"