[Installation] installing Google's sparse hashmap without root

[hdacnw]

Is there an existing issue for this?

• I have searched the existing issues

Have you followed all the steps in the FAQ?

• I have tried the steps in the FAQ.

Current Behavior

I've installed sparse hashmap in ~/.local/lib following #15 How do I reference it?

Error Line

No such file or directory #include <sparsehash/internal/sparseconfig.h>

Environment

- GCC:
- NVCC:
- PyTorch:
- PyTorch CUDA:

Full Error Log

Error Log

[PUT YOUR ERROR LOG HERE]

[Zhijian Liu]

Could you please try installing TorchSparse with PyPI:

python -c "$(curl -fsSL https://raw.githubusercontent.com/mit-han-lab/torchsparse/master/install.py)"

[Shang Yang]

Hi @hdacnw, please refer to this file for the installation of Google Sparse Hash. https://github.com/sparsehash/sparsehash/blob/master/INSTALL

[Yingqi Cao]

If you want to simply install google-sparsehash to build your Torchsparse in developer mode, you can install sparsehash with conda. Please refer to here. And in setup.py, add a gcc compile flag to include the sparsehash pointing to its Conda installation.

[hdacnw]

I added in library_dirs=['<CUSTOM_DIR>/lib'], include_dirs['<CUSTOM_DIR>/include'] in setup.py and was able to install. Thanks!