I've been trying to run a training session by following the instructions given. The Dataloader returns a timeout exception. After some tracing, it turns out the code halts in the following line in DMCDataset.py
inside = mesh.contains(sample_points)
when I replaced it with the following line, the training runs properly but it assumes all the sampling points are valid which is not correct:
inside=np.ones(sample_points.shape[0]).astype(np.bool8)
what could be the correct solution for that issue?
I've been trying to run a training session by following the instructions given. The Dataloader returns a timeout exception. After some tracing, it turns out the code halts in the following line in DMCDataset.py
inside = mesh.contains(sample_points)when I replaced it with the following line, the training runs properly but it assumes all the sampling points are valid which is not correct:
inside=np.ones(sample_points.shape[0]).astype(np.bool8)what could be the correct solution for that issue?