Closed MingFengHill closed 6 months ago
Thanks to the author for sharing excellent work. I have the following error when running the test program, using cuda 11.7, python 3.9, torch 2.0.1:
inst_iou: 0.9999999999891441 type_iou: 1.0 ID:2604 | inst_iou: 0.9999999999891441 type_iou: 1.0 inst_recall: 1.0 inst_iou: 0.9217833057396648 type_iou: 1.0 ID:2605 | inst_iou: 0.9217833057396648 type_iou: 1.0 inst_recall: 0.6666666666666666 inst_iou: 0.9999999999835414 type_iou: 1.0 ID:2606 | inst_iou: 0.9999999999835414 type_iou: 1.0 inst_recall: 1.0 inst_iou: 0.926522588942739 type_iou: 1.0 ID:2607 | inst_iou: 0.926522588942739 type_iou: 1.0 inst_recall: 1.0 inst_iou: 0.2727425572723341 type_iou: 0.5 ID:2608 | inst_iou: 0.2727425572723341 type_iou: 0.5 inst_recall: 1.0 Traceback (most recent call last): File "/home/wang/recon/SED-Net/generate_predictions_aug.py", line 372, in <module> embedding = hpnet_process(embedding.transpose(1, 2), points, normals, id=val_b_id, File "/home/wang/recon/SED-Net/src/smooth_normal_matrix.py", line 198, in hpnet_process v = torch.lobpcg(affinity_matrix_normal, k=edge_topk, niter=10)[1] File "/home/wang/anaconda3/envs/sednet/lib/python3.9/site-packages/torch/_lobpcg.py", line 567, in lobpcg return _lobpcg( File "/home/wang/anaconda3/envs/sednet/lib/python3.9/site-packages/torch/_lobpcg.py", line 673, in _lobpcg worker.run() File "/home/wang/anaconda3/envs/sednet/lib/python3.9/site-packages/torch/_lobpcg.py", line 837, in run self.update() File "/home/wang/anaconda3/envs/sednet/lib/python3.9/site-packages/torch/_lobpcg.py", line 767, in update self._update_ortho() File "/home/wang/anaconda3/envs/sednet/lib/python3.9/site-packages/torch/_lobpcg.py", line 924, in _update_ortho E_, Z = _utils.symeig(_utils.qform(self.A, S_), largest) File "/home/wang/anaconda3/envs/sednet/lib/python3.9/site-packages/torch/_linalg_utils.py", line 86, in symeig E, Z = torch.linalg.eigh(A, UPLO="U") torch._C._LinAlgError: linalg.eigh: The algorithm failed to converge because the input matrix is ill-conditioned or has too many repeated eigenvalues (error code: 8).
Does anyone have the same problem?
Thanks to the author for sharing excellent work. I have the following error when running the test program, using cuda 11.7, python 3.9, torch 2.0.1:
Does anyone have the same problem?