MohammadHossein-Bahari
commented
1 year ago Hello, Thanks for your interest in the project! The issue is because of memory shortage. Your machine's memory is not enough (to clarify, we are talking about CPU memory). If you are using a cluster, request more memory. In the case of a workstation, you need to try a machine with more memory.
liuyueChang
Thank you for your outstanding work! I am using this raw code to train the model, but I encountered the Segmentation fault I did not make any changes to the code and executed run.sh according to readme's requirements Every time the program prompts an error halfway through training.
Here is my environment
absl-py 1.4.0
cachetools 4.2.4
casadi 3.6.3
certifi 2021.5.30
charset-normalizer 2.0.12
cycler 0.11.0
dataclasses 0.8
google-auth 2.19.0
google-auth-oauthlib 0.4.6
grpcio 1.48.2
idna 3.4
importlib-metadata 4.8.3
kiwisolver 1.3.1
Markdown 3.3.7
matplotlib 3.3.4
mkl-fft 1.2.0
mkl-random 1.2.0
mkl-service 2.3.0
numpy 1.19.2
oauthlib 3.2.2
olefile 0.46
opencv-python-headless 3.4.10.35
Pillow 8.2.0
pip 20.0.2
protobuf 3.19.6
pyasn1 0.5.0
pyasn1-modules 0.3.0
pykalman 0.9.5
pyparsing 3.0.9
python-dateutil 2.8.2
python-json-logger 2.0.7
requests 2.27.1
requests-oauthlib 1.3.1
rsa 4.9
scipy 1.5.4
setuptools 49.6.0.post20210108 six 1.16.0
tensorboard 2.10.1
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
torch 1.10.0
torchaudio 0.10.0
torchvision 0.11.0
trajnettools 0.1.0
typing-extensions 4.1.1
urllib3 1.26.16
Werkzeug 2.0.3
wheel 0.36.2
zipp 3.6.0