IndexError: too many indices for tensor of dimension 1

[sunghyun-nam]

/home/unstruct/mmdetection3d/mmdet3d/models/backbones/mink_resnet.py:10: UserWarning: Please follow getting_started.md to install MinkowskiEngine.'Please followgetting_started.md to install MinkowskiEngine.')
/home/unstruct/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/mmdet/utils/setup_env.py:39: UserWarning: Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
f'Setting OMP_NUM_THREADS environment variable for each process '
/home/unstruct/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/mmdet/utils/setup_env.py:49: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
f'Setting MKL_NUM_THREADS environment variable for each process '
/home/unstruct/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/mmseg/models/losses/cross_entropy_loss.py:236: UserWarning: Default avg_non_ignore is False, if you would like to ignore the certain label and average loss over non-ignore labels, which is the same with PyTorch official cross_entropy, set avg_non_ignore=True.
'Default avg_non_ignore is False, if you would like to '
/home/unstruct/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/mmcv/cnn/bricks/conv_module.py:151: UserWarning: Unnecessary conv bias before batch/instance norm
'Unnecessary conv bias before batch/instance norm')
load checkpoint from local path: work_dirs/pointnet2_ssg_16x2_cosine_50e_s3dis_seg-3d-13class/latest.pth
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 68/68, 1.1 task/s, elapsed: 61s, ETA: 0s
+---------+---------+--------+--------+--------+--------+--------+--------+--------+--------+--------+----------+--------+---------+--------+--------+---------+
| classes | ceiling | floor | wall | beam | column | window | door | table | chair | sofa | bookcase | board | clutter | miou | acc | acc_cls |
+---------+---------+--------+--------+--------+--------+--------+--------+--------+--------+--------+----------+--------+---------+--------+--------+---------+
| results | 0.9206 | 0.9706 | 0.7725 | 0.0000 | 0.1751 | 0.5143 | 0.1770 | 0.6770 | 0.7171 | 0.1873 | 0.6319 | 0.5811 | 0.4546 | 0.5215 | 0.8434 | 0.5895 |
+---------+---------+--------+--------+--------+--------+--------+--------+--------+--------+--------+----------+--------+---------+--------+--------+---------+
Traceback (most recent call last):
File "tools/test.py", line 260, in
main()
File "tools/test.py", line 256, in main
print(dataset.evaluate(outputs, **eval_kwargs))
File "/home/unstruct/mmdetection3d/mmdet3d/datasets/custom_3d_seg.py", line 359, in evaluate
self.show(pred_sem_masks, out_dir, pipeline=pipeline)
File "/home/unstruct/mmdetection3d/mmdet3d/datasets/s3dis_dataset.py", line 292, in show
pred_sem_mask = result['semantic_mask'].numpy()
IndexError: too many indices for tensor of dimension 1

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Hello.

https://mmdetection3d.readthedocs.io/en/latest/useful_tools.html#visualization

I'm doing 'visualization' section.

python tools/test.py ${CONFIG_FILE} ${CKPT_PATH} --show --show-dir ${SHOW_DIR}

After running this command, I had neither error or warning.

And it shows output results.

python tools/test.py ${CONFIG_FILE} ${CKPT_PATH} --eval 'mAP' --eval-options 'show=True' 'out_dir=${SHOW_DIR}'

But, when I put this command, I got an ERROR message.

What should I do to solve the problem?

Thanks in advance.