Closed IMasI2Cat closed 7 months ago
Please share the output of conda list
and pip list
. I think you might have more than one pytorch3d in your environment.
Hi, I fall into exactly the same state. My pip list: Package Version Editable project location
absl-py 2.0.0 addict 2.4.0 aiosignal 1.3.1 ansi2html 1.9.1 asttokens 2.4.1 attrs 23.1.0 backcall 0.2.0 blinker 1.7.0 cachetools 5.3.2 certifi 2023.11.17 charset-normalizer 3.3.2 click 8.1.7 cloudpickle 3.0.0 comm 0.2.0 ConfigArgParse 1.7 contourpy 1.1.1 cycler 0.12.1 dash 2.14.2 dash-core-components 2.0.0 dash-html-components 2.0.0 dash-table 5.0.0 decorator 5.1.1 dominate 2.6.0 einops 0.7.0 executing 2.0.1 fastjsonschema 2.19.1 filelock 3.13.1 Flask 3.0.0 fonttools 4.47.0 frozenlist 1.4.1 fsspec 2023.12.2 fvcore 0.1.5.post20221221 google-auth 2.25.2 google-auth-oauthlib 1.0.0 grpcio 1.60.0 gym 0.26.2 gym-notices 0.0.8 h5py 3.10.0 idna 3.6 imageio 2.33.1 importlib-metadata 7.0.1 importlib-resources 6.1.1 iopath 0.1.10 ipython 8.12.3 ipywidgets 8.1.1 isaacgym 1.0rc4 /data/ubuntu_data/isaacgym/python itsdangerous 2.1.2 jedi 0.19.1 Jinja2 3.1.2 joblib 1.3.2 jsonpatch 1.33 jsonpointer 2.4 jsonschema 4.20.0 jsonschema-specifications 2023.12.1 jupyter_core 5.5.1 jupyterlab-widgets 3.0.9 kiwisolver 1.4.5 Markdown 3.5.1 MarkupSafe 2.1.3 matplotlib 3.7.4 matplotlib-inline 0.1.6 MouseInfo 0.1.3 mpmath 1.3.0 msgpack 1.0.7 nbformat 5.7.0 nest-asyncio 1.5.8 networkx 3.1 ninja 1.11.1.1 numpy 1.23.0 nvidia-cublas-cu12 12.1.3.1 nvidia-cuda-cupti-cu12 12.1.105 nvidia-cuda-nvrtc-cu12 12.1.105 nvidia-cuda-runtime-cu12 12.1.105 nvidia-cudnn-cu12 8.9.2.26 nvidia-cufft-cu12 11.0.2.54 nvidia-curand-cu12 10.3.2.106 nvidia-cusolver-cu12 11.4.5.107 nvidia-cusparse-cu12 12.1.0.106 nvidia-nccl-cu12 2.18.1 nvidia-nvjitlink-cu12 12.3.101 nvidia-nvtx-cu12 12.1.105 oauthlib 3.2.2 open3d 0.17.0 opencv-python 4.8.1.78 packaging 23.2 pandas 2.0.3 parso 0.8.3 pexpect 4.9.0 pickleshare 0.7.5 Pillow 10.1.0 pip 23.3.1 pkgutil_resolve_name 1.3.10 platformdirs 4.1.0 plotly 5.18.0 portalocker 2.8.2 prompt-toolkit 3.0.43 protobuf 4.25.1 psutil 5.9.7 ptyprocess 0.7.0 pure-eval 0.2.2 pyasn1 0.5.1 pyasn1-modules 0.3.0 PyAutoGUI 0.9.54 PyGetWindow 0.0.9 Pygments 2.17.2 PyMsgBox 1.0.9 pyparsing 3.1.1 pyperclip 1.8.2 pyquaternion 0.9.9 PyRect 0.2.0 PyScreeze 0.1.30 python-dateutil 2.8.2 python3-xlib 0.15 pytorch3d 0.7.6 pytweening 1.0.7 pytz 2023.3.post1 PyYAML 6.0.1 ray 2.9.0 referencing 0.32.0 requests 2.31.0 requests-oauthlib 1.3.1 retrying 1.3.4 rl-games 1.5.2 rpds-py 0.16.2 rsa 4.9 scikit-learn 1.3.2 scipy 1.10.1 setproctitle 1.3.3 setuptools 58.0.4 six 1.16.0 stack-data 0.6.3 sympy 1.12 tabulate 0.9.0 tenacity 8.2.3 tensorboard 2.14.0 tensorboard-data-server 0.7.2 tensorboardX 2.6.2.2 termcolor 2.4.0 threadpoolctl 3.2.0 torch 1.9.0+cu111 torchaudio 0.9.0 torchvision 0.10.0+cu111 tornado 6.4 tqdm 4.66.1 traitlets 5.14.0 triton 2.1.0 typing_extensions 4.9.0 tzdata 2023.3 urllib3 2.1.0 visdom 0.2.4 wcwidth 0.2.12 websocket-client 1.7.0 Werkzeug 3.0.1 wheel 0.41.2 widgetsnbextension 4.0.9 yacs 0.1.8 zipp 3.17.0
my conda list:
_libgcc_mutex 0.1 main https://repo.anaconda.com/pkgs/main
_openmp_mutex 5.1 1_gnu https://repo.anaconda.com/pkgs/main
absl-py 2.0.0 pypi_0 pypi
addict 2.4.0 pypi_0 pypi
aiosignal 1.3.1 pypi_0 pypi
ansi2html 1.9.1 pypi_0 pypi
asttokens 2.4.1 pypi_0 pypi
attrs 23.1.0 pypi_0 pypi
backcall 0.2.0 pypi_0 pypi
blinker 1.7.0 pypi_0 pypi
ca-certificates 2023.12.12 h06a4308_0 https://repo.anaconda.com/pkgs/main
cachetools 5.3.2 pypi_0 pypi
certifi 2023.11.17 pypi_0 pypi
charset-normalizer 3.3.2 pypi_0 pypi
click 8.1.7 pypi_0 pypi
cloudpickle 3.0.0 pypi_0 pypi
comm 0.2.0 pypi_0 pypi
configargparse 1.7 pypi_0 pypi
contourpy 1.1.1 pypi_0 pypi
cycler 0.12.1 pypi_0 pypi
dash 2.14.2 pypi_0 pypi
dash-core-components 2.0.0 pypi_0 pypi
dash-html-components 2.0.0 pypi_0 pypi
dash-table 5.0.0 pypi_0 pypi
decorator 5.1.1 pypi_0 pypi
dominate 2.6.0 pypi_0 pypi
einops 0.7.0 pypi_0 pypi
executing 2.0.1 pypi_0 pypi
fastjsonschema 2.19.1 pypi_0 pypi
filelock 3.13.1 pypi_0 pypi
flask 3.0.0 pypi_0 pypi
fonttools 4.47.0 pypi_0 pypi
frozenlist 1.4.1 pypi_0 pypi
fsspec 2023.12.2 pypi_0 pypi
fvcore 0.1.5.post20221221 pypi_0 pypi
google-auth 2.25.2 pypi_0 pypi
google-auth-oauthlib 1.0.0 pypi_0 pypi
grpcio 1.60.0 pypi_0 pypi
gym 0.26.2 pypi_0 pypi
gym-notices 0.0.8 pypi_0 pypi
h5py 3.10.0 pypi_0 pypi
idna 3.6 pypi_0 pypi
imageio 2.33.1 pypi_0 pypi
importlib-metadata 7.0.1 pypi_0 pypi
importlib-resources 6.1.1 pypi_0 pypi
iopath 0.1.10 pypi_0 pypi
ipython 8.12.3 pypi_0 pypi
ipywidgets 8.1.1 pypi_0 pypi
isaacgym 1.0rc4 dev_0
Sorry, I forgot to answer this, but I solved it by running all the steps with srun. Should I close the issue?
Same issue, cloud you tell how to solve this ? THX!
I first had a problem installing pytorch3d with conda (incompatibility issues that could not be solved, I followed the steps in the README to install all requirements) so I manually downloaded the wheel from anaconda (matching my Python, Pytorch and CUDA versions, in my case I ran
wget https://anaconda.org/pytorch3d/pytorch3d/0.7.4/download/linux-64/pytorch3d-0.7.4-py310_cu116_pyt1130.tar.bz2
) and then installed withconda install pytorch3d-0.7.4-py310_cu116_pyt1130.tar.bz2
, which seemed to work (and I could correctly import pytorch3d and submodules of it). However, when I run a code (via slurm, which is the only way to run it on a GPU in the server I am working on) I get the following error at calling _pytorch3d.loss.chamferdistance :