Hello,
Can somebody help me with this error?
Traceback (most recent call last):
File "/home/alijani/.conda/envs/py3/lib/python3.9/runpy.py", line 188, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "/home/alijani/.conda/envs/py3/lib/python3.9/runpy.py", line 111, in _get_module_details
__import__(pkg_name)
File "/home/alijani/WS_Farid/OxfordRobotCar/rir2-bu/cirtorch/__init__.py", line 3, in <module>
from .datasets import datahelpers, genericdataset, testdataset, traindataset
File "/home/alijani/WS_Farid/OxfordRobotCar/rir2-bu/cirtorch/datasets/traindataset.py", line 7, in <module>
from cirtorch.datasets.image_augmentation import AlbumentationsImageAugmentor
File "/home/alijani/WS_Farid/OxfordRobotCar/rir2-bu/cirtorch/datasets/image_augmentation.py", line 3, in <module>
from albumentations import Compose, HorizontalFlip, PadIfNeeded, RandomCrop
File "/home/alijani/.conda/envs/py3/lib/python3.9/site-packages/albumentations/__init__.py", line 5, in <module>
from .core.composition import *
File "/home/alijani/.conda/envs/py3/lib/python3.9/site-packages/albumentations/core/composition.py", line 8, in <module>
from albumentations.augmentations.keypoints_utils import KeypointsProcessor
File "/home/alijani/.conda/envs/py3/lib/python3.9/site-packages/albumentations/augmentations/__init__.py", line 4, in <module>
from .functional import *
File "/home/alijani/.conda/envs/py3/lib/python3.9/site-packages/albumentations/augmentations/functional.py", line 9, in <module>
from scipy.ndimage.filters import gaussian_filter
File "/home/alijani/.conda/envs/py3/lib/python3.9/site-packages/scipy/__init__.py", line 155, in <module>
from . import fft
File "/home/alijani/.conda/envs/py3/lib/python3.9/site-packages/scipy/fft/__init__.py", line 74, in <module>
from ._basic import (
File "/home/alijani/.conda/envs/py3/lib/python3.9/site-packages/scipy/fft/_basic.py", line 1, in <module>
from scipy._lib.uarray import generate_multimethod, Dispatchable
File "/home/alijani/.conda/envs/py3/lib/python3.9/site-packages/scipy/_lib/uarray.py", line 28, in <module>
from ._uarray import *
File "/home/alijani/.conda/envs/py3/lib/python3.9/site-packages/scipy/_lib/_uarray/__init__.py", line 115, in <module>
from ._backend import *
File "/home/alijani/.conda/envs/py3/lib/python3.9/site-packages/scipy/_lib/_uarray/_backend.py", line 4, in <module>
from . import _uarray # type: ignore
ImportError: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.21' not found (required by /home/alijani/.conda/envs/py3/lib/python3.9/site-packages/scipy/_lib/_uarray/_uarray.cpython-39-x86_64-linux-gnu.so)
Environment:
$ nvidia-smi
Tue Feb 16 11:31:34 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.32.03 Driver Version: 460.32.03 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Tesla K40m On | 00000000:03:00.0 Off | 0 |
| N/A 32C P8 20W / 235W | 0MiB / 11441MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
$ python -c "import torch; print(torch.__config__.show())"
PyTorch built with:
- GCC 7.3
- C++ Version: 201402
- Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- NNPACK is enabled
- CPU capability usage: AVX2
- CUDA Runtime 11.0
- NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80
- CuDNN 8.0.5
- Magma 2.5.2
- Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON,
torch: 1.7.1+cu110
torchvision: 0.8.2+cu110
Python 3.9.1 (default, Dec 11 2020, 14:32:07)
[GCC 7.3.0] :: Anaconda, Inc. on linux
and my conda packages:
$ conda list --show-channel-urls
# packages in environment at /home/alijani/.conda/envs/py3:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
albumentations 0.5.2 pyhd8ed1ab_0 conda-forge
blas 1.0 openblas defaults
bzip2 1.0.8 h7b6447c_0 defaults
ca-certificates 2020.12.5 ha878542_0 conda-forge
cairo 1.16.0 h7979940_1007 conda-forge
certifi 2020.12.5 py39hf3d152e_1 conda-forge
cloudpickle 1.6.0 py_0 defaults
cycler 0.10.0 py39h06a4308_0 defaults
cytoolz 0.11.0 py39h27cfd23_0 defaults
dask-core 2021.1.1 pyhd3eb1b0_0 defaults
dbus 1.13.18 hb2f20db_0 defaults
decorator 4.4.2 pyhd3eb1b0_0 defaults
expat 2.2.10 he6710b0_2 defaults
ffmpeg 4.3.1 hca11adc_2 conda-forge
fontconfig 2.13.1 hba837de_1004 conda-forge
freetype 2.10.4 h5ab3b9f_0 defaults
geos 3.8.1 he6710b0_0 defaults
gettext 0.19.8.1 h9b4dc7a_1 defaults
glib 2.66.4 hc4f0c31_2 conda-forge
glib-tools 2.66.4 hc4f0c31_2 conda-forge
gmp 6.2.1 h58526e2_0 conda-forge
gnutls 3.6.13 h85f3911_1 conda-forge
graphite2 1.3.14 h23475e2_0 defaults
gst-plugins-base 1.14.5 h0935bb2_2 conda-forge
gstreamer 1.18.3 h3560a44_0 conda-forge
harfbuzz 2.7.4 h5cf4720_0 conda-forge
hdf5 1.10.6 hb1b8bf9_0 defaults
icu 68.1 h2531618_0 defaults
imageio 2.9.0 py_0 defaults
imgaug 0.4.0 pyhd3eb1b0_0 defaults
jasper 1.900.1 hd497a04_4 defaults
joblib 1.0.0 pyhd3eb1b0_0 defaults
jpeg 9d h36c2ea0_0 conda-forge
kiwisolver 1.3.0 py39h66f3464_0 defaults
krb5 1.17.1 h173b8e3_0 defaults
lame 3.100 h7b6447c_0 defaults
lcms2 2.11 h396b838_0 defaults
ld_impl_linux-64 2.33.1 h53a641e_7 defaults
libblas 3.8.0 17_openblas conda-forge
libcblas 3.8.0 17_openblas conda-forge
libclang 11.0.1 default_ha53f305_1 conda-forge
libedit 3.1.20191231 h14c3975_1 defaults
libevent 2.1.10 hcdb4288_3 conda-forge
libffi 3.3 he6710b0_2 defaults
libgcc 7.2.0 h69d50b8_2 conda-forge
libgcc-ng 9.3.0 h2828fa1_18 conda-forge
libgfortran-ng 7.3.0 hdf63c60_0 defaults
libglib 2.66.4 h748fe8e_2 conda-forge
libgomp 9.3.0 h2828fa1_18 conda-forge
libiconv 1.16 h516909a_0 conda-forge
liblapack 3.8.0 17_openblas conda-forge
liblapacke 3.8.0 17_openblas conda-forge
libllvm11 11.0.1 hf817b99_0 conda-forge
libopenblas 0.3.10 h5a2b251_0 defaults
libopencv 4.5.0 py39_2 conda-forge
libpng 1.6.37 hbc83047_0 defaults
libpq 12.3 h255efa7_3 conda-forge
libstdcxx-ng 9.3.0 h6de172a_18 conda-forge
libtiff 4.1.0 h2733197_1 defaults
libuuid 2.32.1 h7f98852_1000 conda-forge
libwebp-base 1.2.0 h27cfd23_0 defaults
libxcb 1.14 h7b6447c_0 defaults
libxkbcommon 1.0.3 he3ba5ed_0 conda-forge
libxml2 2.9.10 h72842e0_3 conda-forge
lz4-c 1.9.2 heb0550a_3 defaults
matplotlib 3.3.2 h06a4308_0 defaults
matplotlib-base 3.3.2 py39hd261b2b_0 defaults
mysql-common 8.0.22 ha770c72_3 conda-forge
mysql-libs 8.0.22 h935591d_3 conda-forge
ncurses 6.2 he6710b0_1 defaults
nettle 3.6 he412f7d_0 conda-forge
networkx 2.5 py_0 defaults
nspr 4.29 h9c3ff4c_1 conda-forge
nss 3.61 hb5efdd6_0 conda-forge
numpy 1.20.0 pypi_0 pypi
numpy-base 1.19.2 py39h0f7b65f_0 defaults
olefile 0.46 py_0 defaults
opencv 4.5.0 py39_2 conda-forge
opencv-contrib-python 4.5.1.48 pypi_0 pypi
openh264 2.1.1 h780b84a_0 conda-forge
openssl 1.1.1i h7f98852_0 conda-forge
pcre 8.44 he6710b0_0 defaults
pillow 8.1.0 py39he98fc37_0 defaults
pip 20.3.3 py39h06a4308_0 defaults
pixman 0.40.0 h7b6447c_0 defaults
py-opencv 4.5.0 py39h9cd51e4_2 conda-forge
pyparsing 2.4.7 pyhd3eb1b0_0 defaults
pyqt 5.12.3 py39hf3d152e_7 conda-forge
pyqt-impl 5.12.3 py39h0fcd23e_7 conda-forge
pyqt5-sip 4.19.18 py39he80948d_7 conda-forge
pyqtchart 5.12 py39h0fcd23e_7 conda-forge
pyqtwebengine 5.12.1 py39h0fcd23e_7 conda-forge
python 3.9.1 hdb3f193_2 defaults
python-dateutil 2.8.1 pyhd3eb1b0_0 defaults
python_abi 3.9 1_cp39 conda-forge
pywavelets 1.1.1 py39h6323ea4_4 defaults
pyyaml 5.4.1 py39h27cfd23_1 defaults
qt 5.12.9 h9d6b050_2 conda-forge
readline 8.1 h27cfd23_0 defaults
scikit-image 0.16.2 py39ha9443f7_0 defaults
scikit-learn 0.23.2 py39ha9443f7_0 defaults
scipy 1.5.2 py39hf56f3a7_0 defaults
see 1.4.1 pypi_0 pypi
setuptools 52.0.0 py39h06a4308_0 defaults
shapely 1.7.1 py39hfa2dc8b_1 conda-forge
six 1.15.0 py39h06a4308_0 defaults
sqlite 3.34.0 h74cdb3f_0 conda-forge
threadpoolctl 2.1.0 pyh5ca1d4c_0 defaults
tk 8.6.10 hbc83047_0 defaults
toolz 0.11.1 pyhd3eb1b0_0 defaults
torch 1.7.1+cu110 pypi_0 pypi
torchaudio 0.7.2 pypi_0 pypi
torchvision 0.8.2+cu110 pypi_0 pypi
tornado 6.1 py39h27cfd23_0 defaults
typing-extensions 3.7.4.3 pypi_0 pypi
tzdata 2020f h52ac0ba_0 defaults
wheel 0.36.2 pyhd3eb1b0_0 defaults
x264 1!161.3030 h7f98852_0 conda-forge
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.0.10 h516909a_0 conda-forge
xorg-libsm 1.2.3 h84519dc_1000 conda-forge
xorg-libx11 1.6.12 h516909a_0 conda-forge
xorg-libxext 1.3.4 h516909a_0 conda-forge
xorg-libxrender 0.9.10 h516909a_1002 conda-forge
xorg-renderproto 0.11.1 h14c3975_1002 conda-forge
xorg-xextproto 7.3.0 h7f98852_1002 conda-forge
xorg-xproto 7.0.31 h27cfd23_1007 defaults
xz 5.2.5 h7b6447c_0 defaults
yaml 0.2.5 h7b6447c_0 defaults
zlib 1.2.11 h7b6447c_3 defaults
zstd 1.4.8 hdf46e1d_0 conda-forge