mit-han-lab / torchsparse

[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Home Page:https://torchsparse.mit.edu

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Error: cannot import name 'PointTensor' from 'torchsparse'

Amber0913 opened this issue · comments

Is there an existing issue for this?

  • I have searched the existing issues

Current Behavior

Could you provide the wheels of v2.0.0?I encountered an installation error when using this statement pip install --upgrade git+https://github.com/mit-han-lab/torchsparse.git@v2.0.0.

Expected Behavior

No response

Environment

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

Anything else?

No response

We don't have pre-built wheels from v2.0.0. Could you provide the detailed installation error?

I have the same error.
Error: cannot import name 'PointTensor' from 'torchsparse'

ImportError: cannot import name 'PointTensor' from 'torchsparse' (.../python3.10/site-packages/torchsparse/init.cpython-310-x86_64-linux-gnu.so)

My environment,

Ubuntu 22.04.2 LTS
PyCharm 2023.2.3 (Professional Edition)
Python 3.10
torch version 2.0.1+cu118
cuda version 11.8

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

Same issue here

@DJNing this worked for me, pip install --upgrade git+https://github.com/mit-han-lab/torchsparse.git@v1.4.0.

See also, #291 (comment).