Hello,
im trying to start a training on my AGX Xavier Jetson,
I got the following error:
ImportError: /home/jetson/PycharmProjects/keypoint_rcnn_training_pytorch/venv/lib/python3.8/site-packages/sklearn/__check_build/…/…/scikit_learn.libs/libgomp-d22c30c5.so.1.0.0: cannot allocate memory in static TLS block
Contents of /home/jetson/PycharmProjects/keypoint_rcnn_training_pytorch/venv/lib/python3.8/site-packages/sklearn/__check_build:
init.py _check_build.cpython-38-aarch64-linux-gnu.sosetup.py
pycache
It seems that scikit-learn has not been built correctly.
Your install of scikit-image appears to be broken.
Try re-installing the package following the instructions at:
I read all the previous post, but none could help me.
python3 -c ‘import torch; print(torch.cuda.is_available())’ is TRUE,
so i can run on CUDA on my GPU.
im trying to import:
import os, json, numpy as np, matplotlib.pyplot as plt
import cv2
import torch
from torch.utils.data import Dataset, DataLoader
import torchvision
from torchvision.models.detection.rpn import AnchorGenerator
from torchvision.transforms import functional as F
import albumentations as A # Library for augmentations
used wheel:
pip3 install torch-1.13.0a0+340c4120.nv22.06-cp38-cp38-linux_aarch64.whl
prior to wheel install:
sudo apt-get install libopenblas-base libopenmpi-dev
sudo apt-get install libjpeg-dev zlib1g-dev libpython3-dev libavcodec-dev libavformat-dev libswscale-dev
de-installed all packages and installed again.
Anybody an idea how to continue?
Addition an overview of the packages installed:
(base) jetson@ubuntu:~/Downloads$ python -m pip freeze
absl-py==1.3.0
apturl==0.5.2
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
asttokens==2.0.8
astunparse==1.6.3
attrs==22.1.0
backcall==0.2.0
bcrypt==3.1.7
beautifulsoup4==4.11.1
bleach==5.0.1
blinker==1.4
Brlapi==0.7.0
cachetools==5.2.0
certifi==2019.11.28
cffi==1.15.1
chardet==3.0.4
Click==7.0
colorama==0.4.3
cryptography==2.8
cupshelpers==1.0
cycler==0.10.0
dbus-python==1.2.16
debugpy==1.6.3
decorator==4.4.2
defer==1.0.6
defusedxml==0.7.1
distro==1.4.0
distro-info===0.23ubuntu1
docker==4.3.1
duplicity==0.8.12.0
entrypoints==0.3
exceptiongroup==1.0.0
executing==1.0.0
expecttest==0.1.4
fasteners==0.14.1
fastjsonschema==2.16.2
filelock==3.8.0
future==0.18.2
google-auth==2.13.0
google-auth-oauthlib==0.4.6
graphsurgeon==0.4.6
grpcio==1.50.0
h5py==3.6.0
httplib2==0.14.0
hypothesis==6.56.4
idna==2.8
imageio==2.22.3
importlib-metadata==4.12.0
importlib-resources==5.9.0
ipykernel==6.15.3
ipython==8.5.0
ipython-genutils==0.2.0
ipywidgets==8.0.2
jedi==0.18.1
jetson-stats==3.1.4
Jetson.GPIO==2.0.20
Jinja2==3.1.2
joblib==1.1.0
jsonschema==4.16.0
jupyter==1.0.0
jupyter-console==6.4.4
jupyter-core==4.11.1
jupyter_client==7.3.5
jupyterlab-pygments==0.2.2
jupyterlab-widgets==3.0.3
keyring==18.0.1
kiwisolver==1.0.1
language-selector==0.1
launchpadlib==1.10.13
lazr.restfulclient==0.14.2
lazr.uri==1.0.3
lockfile==0.12.2
louis==3.12.0
lxml==4.9.1
macaroonbakery==1.3.1
Mako==1.1.0
Markdown==3.4.1
MarkupSafe==2.1.1
matplotlib==3.1.2
matplotlib-inline==0.1.6
mistune==2.0.4
monotonic==1.5
mpmath==1.2.1
nbclient==0.6.8
nbconvert==7.0.0
nbformat==5.6.0
nest-asyncio==1.5.5
networkx==2.8.8
notebook==6.4.12
numpy==1.23.4
nvidia-tao==0.1.24
oauthlib==3.1.0
olefile==0.46
onboard==1.4.1
packaging==21.3
pandas==0.25.3
pandocfilters==1.5.0
paramiko==2.6.0
parso==0.8.3
pbr==5.11.0
pexpect==4.6.0
pickleshare==0.7.5
Pillow==9.0.1
pkgutil_resolve_name==1.3.10
prometheus-client==0.14.1
prompt-toolkit==3.0.31
protobuf==3.6.1
psutil==5.9.2
ptyprocess==0.7.0
pure-eval==0.2.2
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycairo==1.16.2
pycocotools==2.0.4
pycparser==2.21
pycrypto==2.6.1
pycups==1.9.73
Pygments==2.13.0
PyGObject==3.36.0
PyJWT==1.7.1
pymacaroons==0.13.0
PyNaCl==1.3.0
pyparsing==2.4.6
pyRFC3339==1.1
pyrsistent==0.18.1
python-apt==2.0.0+ubuntu0.20.4.8
python-dateutil==2.8.2
python-dbusmock==0.19
python-debian===0.1.36ubuntu1
pytz==2019.3
PyWavelets==1.4.1
pyxattr==0.6.1
pyxdg==0.26
PyYAML==5.3.1
pyzmq==24.0.1
qtconsole==5.3.2
QtPy==2.2.0
requests==2.22.0
requests-oauthlib==1.3.1
requests-unixsocket==0.2.0
rsa==4.9
scikit-build==0.15.0
scikit-image==0.19.3
scikit-learn==1.1.3
scipy==1.8.0
SecretStorage==2.3.1
Send2Trash==1.8.0
simplejson==3.16.0
six==1.14.0
sortedcontainers==2.4.0
soupsieve==2.3.2.post1
stack-data==0.5.0
sympy==1.11.1
systemd-python==234
tabulate==0.8.10
tensorboard==2.10.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorrt==8.4.1.5
terminado==0.15.0
testresources==2.0.1
threadpoolctl==3.1.0
tifffile==2022.10.10
tinycss2==1.1.1
torchvision==0.13.0
tornado==6.2
traitlets==5.4.0
types-dataclasses==0.6.6
typing_extensions==4.4.0
ubuntu-advantage-tools==27.11.2
ubuntu-drivers-common==0.0.0
uff==0.6.9
urllib3==1.25.8
urwid==2.0.1
wadllib==1.3.3
wcwidth==0.2.5
webencodings==0.5.1
websocket-client==1.4.1
Werkzeug==2.2.2
widgetsnbextension==4.0.3
xkit==0.0.0
youtube-dl==2020.3.24
zipp==3.8.1
(base) jetson@ubuntu:~/Downloads$ python -c “import sklearn; sklearn.show_versions()”
System:
python: 3.8.10 (default, Jun 22 2022, 20:18:18) [GCC 9.4.0]
executable: /usr/bin/python3
machine: Linux-5.10.104-tegra-aarch64-with-glibc2.29
Python dependencies:
sklearn: 1.1.3
pip: 22.3
setuptools: 58.3.0
numpy: 1.23.4
scipy: 1.8.0
Cython: None
pandas: 0.25.3
matplotlib: 3.1.2
joblib: 1.1.0
threadpoolctl: 3.1.0
Built with OpenMP: True
threadpoolctl info:
user_api: openmp
internal_api: openmp
prefix: libgomp
filepath: /usr/lib/aarch64-linux-gnu/libgomp.so.1.0.0
version: None
num_threads: 8
user_api: openmp
internal_api: openmp
prefix: libgomp
filepath: /usr/local/lib/python3.8/dist-packages/scikit_learn.libs/libgomp-d22c30c5.so.1.0.0
version: None
num_threads: 8
user_api: blas
internal_api: openblas
prefix: libopenblas
filepath: /home/jetson/.local/lib/python3.8/site-packages/numpy.libs/libopenblas64_p-r0-9c1f2efe.3.20.so
version: 0.3.20
threading_layer: pthreads
architecture: armv8
num_threads: 8
user_api: blas
internal_api: openblas
prefix: libopenblas
filepath: /home/jetson/.local/lib/python3.8/site-packages/scipy.libs/libopenblasp-r0-444d0ba0.3.17.so
version: 0.3.17
threading_layer: pthreads
architecture: armv8
num_threads: 8
(base) jetson@ubuntu:~/Downloads$