Question: I created a virtualenv with python 3.10 and installed open3d and PyTorch according to the instructions on open3d-ml webpage: Open3d-ML but when I tested it with import open3d.ml.torch I get the error: Exception: Open3D was not built with PyTorch support! Steps to reproduce python3.10 -m venv .venv source .venv/bin/activate pip install --upgrade pip pip install open3d pip install torch torchvision torchaudio  Error % python -c "import open3d.ml.torch as ml3d" Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Users/xx/.venv/lib/python3.10/site-packages/open3d/ml/torch/__init__.py", line 34, in <module> raise Exception('Open3D was not built with PyTorch support!') Exception: Open3D was not built with PyTorch support!  Environment: % python3 --version Python 3.10.9 % pip freeze open3d==0.16.1 torch==1.13.1 torchaudio==0.13.1 torchvision==0.14.1  OS macOS 12.6 Kernel Version: Darwin 21.6.0  I also checked below similar issues but they don't have answers: https://github.com/isl-org/Open3D/discussions/5849 https://github.com/isl-org/Open3D-ML/issues/557 Open3D-ML and pytorch According to this issue 5849 the problem can't be related only to MacOs because, in a docker with Ubuntu20.04, there is a similar error. Does anyone know how we can tackle this?

Answer: Finally, I decided to build Open3D from the source for Mac M1. I followed almost the official open3d page and thanks to this medium in one of the replies. Build Open3d-ml with Pytorch on Mac M1 For the OS environment see the main question. conda create --name open3d-ml-build python==3.10 conda activate open3d-ml-build # install pytorch from pytorch.org conda install pytorch torchvision torchaudio -c pytorch # now clone open3d in a desired location git clone --branch v0.16.1 git@github.com:isl-org/Open3D.git ./foo/open3d-0.16-build cd open3d-0.16-build mkdir build && cd build git clone git@github.com:isl-org/Open3D-ML.git  Now make sure you are in the activeted conda env. Build (takes very long and a lot of memory) Note on Mac M1 you don't have Cuda but Metal Performance Shaders (MPS) so I made CUDA Flags OFF in the cmake configuration. which python3 >> /Users/XX/miniconda3/envs/open3d-ml-build/bin/python3 # in the build direcotry cmake -DBUILD_CUDA_MODULE=OFF -DGLIBCXX_USE_CXX11_ABI=OFF \ -DBUILD_PYTORCH_OPS=ON -DBUILD_CUDA_MODULE=OFF \ -DBUNDLE_OPEN3D_ML=ON -DOPEN3D_ML_ROOT=Open3D-ML \ -DBUILD_JUPYTER_EXTENSION:BOOL=OFF \ -DPython3_ROOT=/Users/XX/miniconda3/envs/open3d-ml-build/bin/python3 .. make -j$(sysctl -n hw.physicalcpu) [verbose=1]  If it fails, try it again or run it with verbose and look for fatal error. Install # Install pip package in the current python environment make install-pip-package # if error: Module Not found yapf pip install yapf # Create Python package in build/lib make python-package # Create pip wheel in build/lib # This creates a .whl file that you can install manually. make pip-package  sanity check Again in the activated conda environment # if not installed pip install tensorboard python3 -c "import open3d; import open3d.ml.torch" pip freeze | grep torch torch==1.13.1 torchaudio==0.13.1 torchvision==0.14.1  If you don't get any errors you should be good to go.