[Question] Installation question

[rkraaijveld]

Hi!

I saw in previous questions/bugs that Pytorch CuDA and NVCC has to be the same, which is the case for me, however, I am still not able to run any step after nndet_example. What am I doing wrong?

This is my nndet_env:

----- PyTorch Information -----
PyTorch Version: 1.8.0+cu111
PyTorch Debug: False
PyTorch CUDA: 11.1
PyTorch Backend cudnn: 8005
PyTorch CUDA Arch List: ['sm_37', 'sm_50', 'sm_60', 'sm_70', 'sm_75', 'sm_80', 'sm_86']
PyTorch Current Device Capability: (7, 5)
PyTorch CUDA available: True

----- System Information -----
System NVCC: nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Mon_Oct_12_20:09:46_PDT_2020
Cuda compilation tools, release 11.1, V11.1.105
Build cuda_11.1.TC455_06.29190527_0

System Arch List: 5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX
System OMP_NUM_THREADS: 1
System CUDA_HOME is None: True
System CPU Count: 40
Python Version: 3.8.5 (default, Sep 4 2020, 07:30:14)
[GCC 7.3.0]

----- nnDetection Information -----
det_num_threads 6
det_data is set True
det_models is set True

[Michael Baumgartner]

Dear @rooskraaijveld ,

thank you for your Issue, which error message do you receive?

Best,
Michael

[rkraaijveld]

I apologize! I completely forgot to send it. Below is my error:

`
Singularity> nndet_prep 000
Traceback (most recent call last):
File "/opt/conda/bin/nndet_prep", line 33, in
sys.exit(load_entry_point('nndet', 'console_scripts', 'nndet_prep')())
File "/opt/conda/bin/nndet_prep", line 25, in importlib_load_entry_point
return next(matches).load()
File "/opt/conda/lib/python3.8/importlib/metadata.py", line 77, in load
module = import_module(match.group('module'))
File "/opt/conda/lib/python3.8/importlib/init.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "", line 1014, in _gcd_import
File "", line 991, in _find_and_load
File "", line 975, in _find_and_load_unlocked
File "", line 671, in _load_unlocked
File "", line 783, in exec_module
File "", line 219, in _call_with_frames_removed
File "/opt/nnDetection/scripts/preprocess.py", line 36, in
from nndet.planning import DatasetAnalyzer
File "/opt/nnDetection/nndet/planning/init.py", line 2, in
from nndet.planning.experiment import PLANNER_REGISTRY
File "/opt/nnDetection/nndet/planning/experiment/init.py", line 3, in
from nndet.planning.experiment.base import PlannerType, AbstractPlanner
File "/opt/nnDetection/nndet/planning/experiment/base.py", line 21, in
from nndet.planning.experiment.utils import run_create_label_preprocessed
File "/opt/nnDetection/nndet/planning/experiment/utils.py", line 2, in
from nndet.core.boxes.ops_np import box_size_np
File "/opt/nnDetection/nndet/core/boxes/init.py", line 16, in
from nndet.core.boxes.nms import nms, batched_nms
File "/opt/nnDetection/nndet/core/boxes/nms.py", line 22, in
from nndet._C import nms as nms_gpu
ImportError: /opt/nnDetection/nndet/_C.cpython-38-x86_64-linux-gnu.so: undefined symbol: _ZN2at5emptyEN3c108ArrayRefIlEERKNS0_13TensorOptionsENS0_8optionalINS0_12MemoryFormatEEE

`

[Michael Baumgartner]

Hmm, on first sight your env looks correct.

1. Try deleting the build folder and *.so file and re-install it
2. Try setting the CUDA HOME path explicitly

PS: always do (1) when running a new install, otherwise it won't recompile

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