clone 'pt21-cu118' to 'pt23-cu121'

pt23-cu121/attachments/!FIRST_RUN-compile-install.bat

@@ -0,0 +1,42 @@
+@REM Edit this to your GPU arch.
+@REM You don't need to add the "+PTX". Here it works as a fail-safe (providing forward compatibility).
+set TORCH_CUDA_ARCH_LIST=6.1+PTX
+
+@REM Compile-install PyTorch3D
+@REM PyTorch3D on Windows works best through compile-install. Binary-install will fail on some workflows.
+@REM e.g. "CUDA error: no kernel image is available for execution on the device"
+
+set CMAKE_ARGS=-DBUILD_opencv_world=ON -DWITH_CUDA=ON -DCUDA_FAST_MATH=ON -DWITH_CUBLAS=ON -DWITH_NVCUVID=ON
+set PATH=%PATH%;%~dp0\python_embeded\Scripts
+
+.\python_embeded\python.exe -s -m pip install ^
+ "git+https://github.com/facebookresearch/[email protected]"
+
+@REM Compile-install pointnet2_ops for Triplane Gaussian
+
+.\python_embeded\python.exe -s -m pip install ^
+ .\extras\pointnet2_ops
+
+@REM Compile-install diff-gaussian-rasterization for Triplane Gaussian
+
+.\python_embeded\python.exe -s -m pip install ^
+ "git+https://github.com/ashawkey/diff-gaussian-rasterization.git"
+
+@REM Compile-install simple-knn
+
+.\python_embeded\python.exe -s -m pip install ^
+ .\extras\simple-knn
+
+@REM Compile-install kiuikit
+
+.\python_embeded\python.exe -s -m pip install ^
+ git+https://github.com/ashawkey/kiuikit.git
+
+@REM Compile-install nvdiffrast
+
+.\python_embeded\python.exe -s -m pip install ^
+ git+https://github.com/NVlabs/nvdiffrast.git
+
+@REM Ensure numpy1
+
+.\python_embeded\python.exe -s -m pip install numpy==1.26.4