ValueError: Input contains infinity or a value too large for dtype('float64').

[xcltql666]

When I run the command
python script/dataset_preprocess_normals/hypersim/preprocess_hypersim_normals.py --split_csv /path/to/metadata_images_split_scene_v1.csv --dataset_dir path_to_downloaded_hypersim --output_dir ${BASE_DATA_DIR}/hypersim
for Hypersim Normals Preprocessing, I encounter the following error:

Traceback (most recent call last):
  File "/home/chengyou/xcl/Marigold/script/normals/dataset_preprocess/hypersim/preprocess_hypersim_normals.py", line 169, in <module>
    surface_to_cam_world_normalized_1d_ = sklearn.preprocessing.normalize(
  File "/home/chengyou/xcl/Marigold/venv/marigold/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper
    return func(*args, **kwargs)
  File "/home/chengyou/xcl/Marigold/venv/marigold/lib/python3.10/site-packages/sklearn/preprocessing/_data.py", line 1979, in normalize
    X = check_array(
  File "/home/chengyou/xcl/Marigold/venv/marigold/lib/python3.10/site-packages/sklearn/utils/validation.py", line 1105, in check_array
    _assert_all_finite(
  File "/home/chengyou/xcl/Marigold/venv/marigold/lib/python3.10/site-packages/sklearn/utils/validation.py", line 120, in _assert_all_finite
    _assert_all_finite_element_wise(
  File "/home/chengyou/xcl/Marigold/venv/marigold/lib/python3.10/site-packages/sklearn/utils/validation.py", line 169, in _assert_all_finite_element_wise
    raise ValueError(msg_err)
ValueError: Input contains infinity or a value too large for dtype('float64').

This occurs, for example, when processing files in ai_013_001/cam_00.

May I ask how to resolve this issue?
Should I skip these erroneous files?