video_features: OSError with Anaconda, works on Miniconda

Hi , this is a greate work for my stduy ,But I had a problem running the demo.

(torch_zoo) czy@PT6630W:/data1/czy/affectivevideo/video_features$ /home/czy/anaconda3/envs/torch_zoo/bin/python3.8 main.py feature_type=r21d device_ids="[0]" video_paths="[./sample/v_ZNVhz7ctTq0.mp4, ./sample/v_GGSY1Qvo990.mp4]"
Traceback (most recent call last):
  File "main.py", line 6, in <module>
    import torch
  File "/home/czy/anaconda3/envs/torch_zoo/lib/python3.8/site-packages/torch/__init__.py", line 189, in <module>
    _load_global_deps()
  File "/home/czy/anaconda3/envs/torch_zoo/lib/python3.8/site-packages/torch/__init__.py", line 142, in _load_global_deps
    ctypes.CDLL(lib_path, mode=ctypes.RTLD_GLOBAL)
  File "/home/czy/anaconda3/envs/torch_zoo/lib/python3.8/ctypes/__init__.py", line 381, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: /home/czy/anaconda3/envs/torch_zoo/lib/python3.8/site-packages/torch/lib/../../../../libcublas.so.11: symbol free_gemm_select version libcublasLt.so.11 not defined in file libcublasLt.so.11 with link time reference

Is there any way to solve this problem？Looking forward to someone’s reply. Thanks

About this issue

Original URL
State: closed
Created 2 years ago
Comments: 15 (7 by maintainers)

Most upvoted comments

It seems to succeed. \I think my Anaconda has some problems XD

czy1@PT6630W:~/video_features$ source activate torch_zoo
(torch_zoo) czy1@PT6630W:~/video_features$ python main.py feature_type=r21d  device_ids="[0]" video_paths="[./sample/v_ZNVhz7ctTq0.mp4, ./sample/v_GGSY1Qvo990.mp4]"
{'feature_type': 'r21d', 'device_ids': [0], 'video_paths': ['./sample/v_ZNVhz7ctTq0.mp4', './sample/v_GGSY1Qvo990.mp4']}
feature_type: r21d
model_name: r2plus1d_18_16_kinetics
stack_size: null
step_size: null
extraction_fps: null
device_ids:
- 0
on_extraction: print
output_path: ./output
tmp_path: ./tmp
keep_tmp_files: false
show_pred: false
config: null
file_with_video_paths: null
video_paths:
- ./sample/v_ZNVhz7ctTq0.mp4
- ./sample/v_GGSY1Qvo990.mp4

  0%|                                                                                                                                                                  | 0/2 [00:00<?, ?it/s]Downloading: "https://download.pytorch.org/models/r2plus1d_18-91a641e6.pth" to /home/czy1/.cache/torch/hub/checkpoints/r2plus1d_18-91a641e6.pth
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 120M/120M [00:54<00:00, 2.31MB/s]
r21d|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉| 120M/120M [00:54<00:00, 2.32MB/s]
[[0.42218563 1.17318308 0.40078551 ... 0.66922128 0.06912617 1.18522477]
 [0.52843308 0.86638242 0.48396972 ... 0.87221068 0.06446913 1.26957393]
 [0.45510957 1.24178052 0.28735891 ... 1.1974194  0.04069321 1.1834774 ]
 ...
 [0.36844271 0.72178376 0.43043154 ... 1.50390053 0.64477223 0.92311001]
 [0.36785939 0.57711715 0.39524844 ... 1.55858362 0.47291428 0.55648011]
 [0.26900989 0.62733668 0.15515861 ... 1.86467552 0.16260292 0.45022029]]
max: 5.85777378; mean: 0.97725581; min: 0.00000000

 50%|█████████████████████████████████████████████████████████████████████████████                                                                             | 1/2 [01:01<01:01, 61.32s/it]r21d
[[0.29430833 0.61677468 0.03131339 ... 0.46447253 0.11309772 0.30705026]
 [0.45730111 0.7090205  0.05734326 ... 0.51096797 0.24674344 0.5347752 ]
 [0.53560811 0.64860499 0.03306999 ... 0.41103086 0.22505628 0.42674282]
 ...
 [0.76564747 1.35982907 0.32192281 ... 0.85664588 0.33740634 0.84231055]
 [0.39216471 0.7261017  0.24165478 ... 0.12450667 0.13376112 0.73523462]
 [0.2450196  0.74660909 0.27728859 ... 0.25958988 0.46994063 0.82153547]]
max: 5.41354084; mean: 0.73186871; min: 0.00046144

100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [01:02<00:00, 31.39s/it]

ChenyuLy on Jul 14, 2022

Thanks

ChenyuLy on Jul 15, 2022