Open eyucherin opened 6 months ago
yvsriram
commented
6 months ago Thanks you for participating! Happy to help you set up. Can you try downloading outside of the script. cd data and git clone https://huggingface.co/datasets/hssd/hssd-hab? Does that work? Entering your huggingface credentials may be necessary.
Also please use this branch and this leaderboard if you want to participate in the CVPR challenge.
eyucherin
commented
6 months ago Hi! @yvsriram Thank you so much for the reply! I just ran git clone https://huggingface.co/datasets/hssd/hssd-hab on cd data and I was able to bypass $HOME_ROBOT_ROOT/projects/habitat_ovmm/install.sh part of the dataset setup for OVMM.
However, I still am not able to run the demo setup.
(home-robot) che@che-MS-7D99:~/Desktop/home-robot/data$ python projects/habitat_ovmm/eval_baselines_agent.py --env_config projects/habitat_ovmm/configs/env/hssd_demo.yaml
python: can't open file '/home/che/Desktop/home-robot/data/projects/habitat_ovmm/eval_baselines_agent.py': [Errno 2] No such file or directoryALSO: When setting up for home_robot_sim, there seems to be an error when downloading pytorch3d.
(home-robot) che@che-MS-7D99:~/Desktop/home-robot$ python -m pip install "git+https://github.com/facebookresearch/pytorch3d.git"
Collecting git+https://github.com/facebookresearch/pytorch3d.git
Cloning https://github.com/facebookresearch/pytorch3d.git to /tmp/pip-req-build-a5a44a_w
Running command git clone --filter=blob:none --quiet https://github.com/facebookresearch/pytorch3d.git /tmp/pip-req-build-a5a44a_w
Resolved https://github.com/facebookresearch/pytorch3d.git to commit 47d5dc88247035b35ca3cfce159565f92d8fbb75
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [8 lines of output]
Traceback (most recent call last):
File "<string>", line 2, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "/tmp/pip-req-build-a5a44a_w/setup.py", line 15, in <module>
import torch
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch/__init__.py", line 218, in <module>
from torch._C import * # noqa: F403
ImportError: /home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so: undefined symbol: iJIT_NotifyEvent
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
× Encountered error while generating package metadata.
╰─> See above for output.
Any advice on these issues would be greatly appreciated!
yvsriram
commented
6 months ago Can you try installing it after running mamba install mkl=2024.0?
eyucherin
commented
6 months ago I am still getting erros after running mamba install mkl=2024.0 , but there seems to be progress.
when installing pytorch3d for the home-robot simulator, I still get the following error:
running build_ext
**error: [Errno 2] No such file or directory: '/usr/local/cuda-11.7/bin/nvcc'
[end of output]**
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for pytorch3d
Running setup.py clean for pytorch3d
Failed to build pytorch3d
ERROR: Could not build wheels for pytorch3d, which is required to install pyproject.toml-based projectsAND for running the demo setup to OVMM, I am getting a new error message after installing mlk=2024.0, I think its related to not being able to install pytorch3d.
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/**pytorch3d**/ops/ball_query.py", line 10, in <module>
from pytorch3d import _C
ImportError: libtorch_cuda_cu.so: cannot open shared object file: No such file or directoryI currently have Nvidia-smi 550.54.15 with CUDA Version 12.4. I think pytorch3d requires cuda-11.7, but since this is running on a container would I still need to downgrade? Any insight on this would be very much appreciated!
Thank you so much for your help!
(home-robot) che@che-MS-7D99:~/Desktop/home-robot$ nvidia-smi
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.54.15 Driver Version: 550.54.15 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
Hey, I am not entirely sure about this one but you can try a few things if you haven't already.
For the error you are facing:
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/pytorch3d/ops/ball_query.py", line 10, in
from pytorch3d import _C ImportError: libtorch_cuda_cu.so: cannot open shared object file: No such file or directory
What is the version of your installed pytorch3d? My working environment has pytorch3d==0.7.5. You can try pinning to that and see if it helps.
If not done already, it would be good to check that torch and cuda are properly installed and compatible: https://github.com/open-mmlab/mmdetection3d/issues/438#issuecomment-819154481 and also check if any of the solutions from similar issues on pytorch3d are relevant for you? Can you share your conda env export so that I can understand your conda environment better?
You can try building pytorch3d from source and check if it solves the issue.
would I still need to downgrade?
We recommend sticking to the CUDA 11.7 and python 3.9. The other dependencies are setup such that they work in this setting. So it may be great if you could downgrade to use cuda 11.7.
Otherwise, it seems like pytorch3d is supported on higher versions of Cuda: https://github.com/facebookresearch/pytorch3d/blob/main/INSTALL.md too? I am not sure if other dependencies and our code are compatible with cuda 12.4.
Do let us know what works and doesn't work for you.
eyucherin
commented
6 months ago Hello! I have checked that my environment has pytorch3d == 0.7.5
Here is my conda env export.
(home-robot) che@che-MS-7D99:~/home-robot$ cat environment.yml
name: home-robot
channels:
- pytorch3d
- pytorch
- pyg
- aihabitat
- nvidia
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=2_kmp_llvm
- aiohttp=3.9.5=py39hd1e30aa_0
- aiosignal=1.3.1=pyhd8ed1ab_0
- aom=3.9.0=hac33072_0
- assimp=5.3.1=h8343317_3
- async-timeout=4.0.3=pyhd8ed1ab_0
- attrs=23.2.0=pyh71513ae_0
- blas=2.122=openblas
- blas-devel=3.9.0=22_linux64_openblas
- brotli-python=1.1.0=py39h3d6467e_1
- bzip2=1.0.8=hd590300_5
- c-ares=1.28.1=hd590300_0
- ca-certificates=2024.3.11=h06a4308_0
- cached-property=1.5.2=hd8ed1ab_1
- cached_property=1.5.2=pyha770c72_1
- cairo=1.18.0=h3faef2a_0
- certifi=2024.2.2=pyhd8ed1ab_0
- cffi=1.16.0=py39h7a31438_0
- charset-normalizer=3.3.2=pyhd8ed1ab_0
- cmake=3.29.2=hcfe8598_0
- colorama=0.4.6=pyhd8ed1ab_0
- console_bridge=1.0.2=h924138e_1
- cuda-cudart=11.7.99=0
- cuda-cupti=11.7.101=0
- cuda-libraries=11.7.1=0
- cuda-nvrtc=11.7.99=0
- cuda-nvtx=11.7.91=0
- cuda-runtime=11.7.1=0
- cuda-version=11.7=h67201e3_3
- cudatoolkit=11.7.1=h4bc3d14_13
- cudnn=8.9.7.29=hbc23b4c_3
- cycler=0.12.1=pyhd8ed1ab_0
- dataclasses=0.8=pyhc8e2a94_3
- dav1d=1.2.1=hd590300_0
- eigen=3.4.0=h4bd325d_0
- exa=0.10.1=habb4d0f_0
- expat=2.6.2=h59595ed_0
- ffmpeg=3.2.4=1
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
- font-ttf-inconsolata=3.000=h77eed37_0
- font-ttf-source-code-pro=2.038=h77eed37_0
- font-ttf-ubuntu=0.83=h77eed37_1
- fontconfig=2.14.2=h14ed4e7_0
- fonts-conda-ecosystem=1=0
- fonts-conda-forge=1=0
- freetype=2.12.1=h267a509_2
- fribidi=1.0.10=h516909a_0
- frozenlist=1.4.1=py39hd1e30aa_0
- fsspec=2024.3.1=pyhca7485f_0
- future=1.0.0=pyhd8ed1ab_0
- fvcore=0.1.5.post20221221=pyhd8ed1ab_0
- fzf=0.50.0=ha8f183a_0
- gettext=0.22.5=h59595ed_2
- gettext-tools=0.22.5=h59595ed_2
- gitdb=4.0.11=pyhd8ed1ab_0
- gitpython=3.1.43=pyhd8ed1ab_0
- gmp=6.3.0=h59595ed_1
- gnutls=3.7.9=hb077bed_0
- graphite2=1.3.14=h295c915_1
- h5py=3.11.0=nompi_py39h2c511df_100
- habitat-sim-mutex=1.0=display_bullet
- habitat-sim-ovmm-challenge-2023=0.2.4=py3.9_bullet_linux
- harfbuzz=8.4.0=h3d44ed6_0
- hdf5=1.14.3=nompi_h4f84152_100
- icu=73.2=h59595ed_0
- idna=3.7=pyhd8ed1ab_0
- imageio=2.34.1=pyh4b66e23_0
- imageio-ffmpeg=0.4.9=pyhd8ed1ab_0
- iopath=0.1.9=pyhd8ed1ab_0
- joblib=1.4.0=pyhd8ed1ab_0
- jpeg=9e=h0b41bf4_3
- keyutils=1.6.1=h166bdaf_0
- kiwisolver=1.4.5=py39h7633fee_1
- krb5=1.21.2=h659d440_0
- lame=3.100=h166bdaf_1003
- lcms2=2.15=hfd0df8a_0
- ld_impl_linux-64=2.40=h41732ed_0
- lerc=3.0=h9c3ff4c_0
- libabseil=20240116.2=cxx17_h59595ed_0
- libaec=1.1.3=h59595ed_0
- libasprintf=0.22.5=h661eb56_2
- libasprintf-devel=0.22.5=h661eb56_2
- libass=0.17.1=h8fe9dca_1
- libblas=3.9.0=22_linux64_openblas
- libboost=1.84.0=h8013b2b_2
- libboost-devel=1.84.0=h00ab1b0_2
- libboost-headers=1.84.0=ha770c72_2
- libboost-python=1.84.0=py39hda80f44_2
- libboost-python-devel=1.84.0=py39h8003fee_2
- libcblas=3.9.0=22_linux64_openblas
- libcublas=11.10.3.66=0
- libcufft=10.7.2.124=h4fbf590_0
- libcufile=1.9.1.3=0
- libcurand=10.3.5.147=0
- libcurl=8.7.1=hca28451_0
- libcusolver=11.4.0.1=0
- libcusparse=11.7.4.91=0
- libdeflate=1.17=h0b41bf4_0
- libdrm=2.4.120=hd590300_0
- libedit=3.1.20230828=h5eee18b_0
- libev=4.33=hd590300_2
- libexpat=2.6.2=h59595ed_0
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=13.2.0=hc881cc4_6
- libgettextpo=0.22.5=h59595ed_2
- libgettextpo-devel=0.22.5=h59595ed_2
- libgfortran-ng=13.2.0=h69a702a_6
- libgfortran5=13.2.0=h43f5ff8_6
- libglib=2.80.0=hf2295e7_6
- libhwloc=2.10.0=default_h2fb2949_1000
- libiconv=1.17=hd590300_2
- libidn2=2.3.7=hd590300_0
- liblapack=3.9.0=22_linux64_openblas
- liblapacke=3.9.0=22_linux64_openblas
- libllvm14=14.0.6=hcd5def8_4
- libmagma=2.7.2=h09159a4_2
- libmagma_sparse=2.7.2=h09159a4_3
- libnghttp2=1.58.0=h47da74e_1
- libnpp=11.7.4.75=0
- libnsl=2.0.1=hd590300_0
- libnvjpeg=11.8.0.2=0
- libopenblas=0.3.27=pthreads_h413a1c8_0
- libopenvino=2023.2.0=h2e90f83_1
- libopenvino-auto-batch-plugin=2023.2.0=h59595ed_1
- libopenvino-auto-plugin=2023.2.0=hd5fc58b_1
- libopenvino-hetero-plugin=2023.2.0=h3ecfda7_1
- libopenvino-intel-cpu-plugin=2023.2.0=h2e90f83_1
- libopenvino-intel-gpu-plugin=2023.2.0=h2e90f83_1
- libopenvino-ir-frontend=2023.2.0=h3ecfda7_1
- libopenvino-onnx-frontend=2023.2.0=h59595ed_1
- libopenvino-paddle-frontend=2023.2.0=h59595ed_1
- libopenvino-pytorch-frontend=2023.2.0=h59595ed_1
- libopenvino-tensorflow-frontend=2023.2.0=hfe87413_1
- libopenvino-tensorflow-lite-frontend=2023.2.0=h59595ed_1
- libopus=1.3.1=h7f98852_1
- libpciaccess=0.18=hd590300_0
- libpng=1.6.43=h2797004_0
- libprotobuf=3.20.3=h3eb15da_0
- libsqlite=3.45.3=h2797004_0
- libssh2=1.11.0=h0841786_0
- libstdcxx-ng=13.2.0=h95c4c6d_6
- libtasn1=4.19.0=h166bdaf_0
- libtiff=4.5.1=h6a678d5_0
- libunistring=0.9.10=h14c3975_0
- libuuid=2.38.1=h0b41bf4_0
- libuv=1.48.0=hd590300_0
- libva=2.21.0=hd590300_0
- libvpx=1.14.0=h59595ed_0
- libwebp-base=1.4.0=hd590300_0
- libxcb=1.15=h0b41bf4_0
- libxcrypt=4.4.36=hd590300_1
- libxml2=2.12.6=h232c23b_2
- libzlib=1.2.13=hd590300_5
- llvm-openmp=18.1.3=h4dfa4b3_0
- magma=2.7.2=h2cf16e7_3
- markupsafe=2.1.5=py39hd1e30aa_0
- mkl=2024.0.0=ha957f24_49657
- mkl-devel=2024.0.0=ha770c72_49657
- mkl-include=2024.0.0=ha957f24_49657
- multidict=6.0.5=py39hd1e30aa_0
- ncurses=6.4.20240210=h59595ed_0
- nettle=3.9.1=h7ab15ed_0
- ninja=1.12.0=h00ab1b0_0
- numba=0.59.1=py39h615d6bd_0
- ocl-icd=2.3.2=hd590300_1
- ocl-icd-system=1.0.0=1
- octomap=1.9.8=h924138e_0
- openblas=0.3.27=pthreads_h7a3da1a_0
- openh264=2.4.1=h59595ed_0
- openjpeg=2.5.0=hfec8fc6_2
- openssl=3.3.0=hd590300_0
- p11-kit=0.24.1=hc5aa10d_0
- pcre2=10.43=hcad00b1_0
- pinocchio=2.7.1=py39he67e4fc_0
- pip=24.0=pyhd8ed1ab_0
- pixman=0.43.2=h59595ed_0
- portalocker=2.8.2=py39hf3d152e_1
- psutil=5.9.8=py39hd1e30aa_0
- pthread-stubs=0.4=h36c2ea0_1001
- pugixml=1.14=h59595ed_0
- pybind11=2.12.0=py39h7633fee_0
- pybind11-global=2.12.0=py39h7633fee_0
- pycparser=2.22=pyhd8ed1ab_0
- pyg=2.5.2=py39_torch_1.13.0_cu117
- pyparsing=3.1.2=pyhd8ed1ab_0
- pysocks=1.7.1=py39hf3d152e_5
- python=3.9.19=h0755675_0_cpython
- python_abi=3.9=4_cp39
- pytorch=1.13.1=cpu_py39h92724a6_0
- pytorch-cluster=1.6.1=py39_torch_1.13.0_cu117
- pytorch-cuda=11.7=h778d358_5
- pytorch-mutex=1.0=cuda
- pytorch-scatter=2.1.1=py39_torch_1.13.0_cu117
- pytorch3d=0.7.5=py39_cu117_pyt1131
- pyyaml=6.0.1=py39hd1e30aa_1
- qhull=2020.2=h4bd325d_2
- quaternion=2023.0.3=py39h44dd56e_0
- readline=8.2=h8228510_1
- rhash=1.4.4=hd590300_0
- scikit-learn=1.4.2=py39ha22ef79_0
- scipy=1.13.0=py39h474f0d3_0
- six=1.16.0=pyh6c4a22f_0
- smmap=3.0.5=pyh44b312d_0
- snappy=1.1.10=hdb0a2a9_1
- svt-av1=2.0.0=h59595ed_0
- tabulate=0.9.0=pyhd8ed1ab_1
- tbb=2021.12.0=h00ab1b0_0
- termcolor=2.4.0=pyhd8ed1ab_0
- threadpoolctl=3.5.0=pyhc1e730c_0
- tinyxml2=10.0.0=h59595ed_0
- tk=8.6.13=noxft_h4845f30_101
- torchaudio=0.13.1=py39_cu117
- torchvision=0.14.1=cpu_py39hcda3413_0
- tornado=6.4=py39hd1e30aa_0
- typing-extensions=4.11.0=hd8ed1ab_0
- typing_extensions=4.11.0=pyha770c72_0
- urdfdom=4.0.0=hee28ff1_1
- urdfdom_headers=1.1.1=h00ab1b0_0
- wheel=0.43.0=pyhd8ed1ab_1
- withbullet=2.0=0
- x264=1!164.3095=h166bdaf_2
- x265=3.5=h924138e_3
- xorg-fixesproto=5.0=h14c3975_1002
- xorg-inputproto=2.3.2=h14c3975_1002
- xorg-kbproto=1.0.7=h14c3975_1002
- xorg-libice=1.1.1=hd590300_0
- xorg-libsm=1.2.4=h7391055_0
- xorg-libx11=1.8.9=h8ee46fc_0
- xorg-libxau=1.0.11=hd590300_0
- xorg-libxcursor=1.2.0=h0b41bf4_1
- xorg-libxdmcp=1.1.3=h516909a_0
- xorg-libxext=1.3.4=h0b41bf4_2
- xorg-libxfixes=5.0.3=h7f98852_1004
- xorg-libxi=1.7.10=h7f98852_0
- xorg-libxinerama=1.1.5=h27087fc_0
- xorg-libxrandr=1.5.2=h7f98852_1
- xorg-libxrender=0.9.11=hd590300_0
- xorg-randrproto=1.5.0=h516909a_1001
- xorg-renderproto=0.11.1=h14c3975_1002
- xorg-xextproto=7.3.0=h0b41bf4_1003
- xorg-xproto=7.0.31=h14c3975_1007
- xz=5.4.6=h5eee18b_0
- yacs=0.1.8=pyhd8ed1ab_0
- yaml=0.2.5=h7f98852_2
- yarl=1.9.4=py39hd1e30aa_0
- zlib=1.2.13=hd590300_5
- zstd=1.5.5=hfc55251_0
- pip:
- absl-py==2.1.0
- accelerate==0.29.3
- addict==2.4.0
- aliyun-python-sdk-core==2.15.1
- aliyun-python-sdk-kms==2.16.2
- antlr4-python3-runtime==4.9.3
- asttokens==2.4.1
- bagpy==0.5
- bitarray==2.9.2
- bitstring==4.2.1
- black==24.4.2
- blinker==1.8.1
- boto3==1.34.97
- botocore==1.34.97
- braceexpand==0.1.7
- cachetools==5.3.3
- catkin-pkg==1.0.0
- cfgv==3.4.0
- chumpy==0.70
- click==8.1.7
- cloudpickle==3.0.0
- cmeel==0.53.3
- cmeel-assimp==5.3.1
- cmeel-boost==1.82.0
- cmeel-console-bridge==1.0.2.2
- cmeel-octomap==1.9.8.2
- cmeel-tinyxml==2.6.2.3
- cmeel-tinyxml2==9.0.0.2
- cmeel-urdfdom==4.0.0
- comm==0.2.2
- configargparse==1.7
- contourpy==1.2.1
- crcmod==1.7
- cryptography==42.0.5
- cython==3.0.10
- dash==2.16.1
- dash-core-components==2.0.0
- dash-html-components==2.0.0
- dash-table==5.0.0
- debugpy==1.8.1
- decorator==4.4.2
- defusedxml==0.7.1
- diffusers==0.27.2
- distlib==0.3.8
- distro==1.9.0
- docutils==0.21.2
- easydict==1.13
- eigenpy==3.1.3
- einops==0.8.0
- empy==4.1
- exceptiongroup==1.2.1
- executing==2.0.1
- faster-fifo==1.4.5
- fastjsonschema==2.19.1
- filelock==3.14.0
- filterpy==1.4.5
- flask==3.0.3
- fonttools==4.51.0
- freetype-py==2.4.0
- genpy==2022.1
- gnupg==2.3.1
- google-auth==2.29.0
- google-auth-oauthlib==0.4.6
- grpcio==1.62.2
- gym==0.23.0
- gym-notices==0.0.8
- habitat-sim==0.2.5
- hpp-fcl==2.3.6
- huggingface-hub==0.22.2
- hydra-core==1.3.2
- identify==2.5.36
- ifcfg==0.24
- importlib-metadata==7.1.0
- importlib-resources==6.4.0
- iniconfig==2.0.0
- ipykernel==6.29.4
- ipython==8.18.1
- ipywidgets==8.1.2
- itsdangerous==2.2.0
- jedi==0.19.1
- jinja2==3.0.3
- jmespath==0.10.0
- json-tricks==3.17.3
- jsonschema==4.21.1
- jsonschema-specifications==2023.12.1
- jupyter-client==8.6.1
- jupyter-core==5.7.2
- jupyterlab-widgets==3.0.10
- lazy-loader==0.4
- llvmlite==0.42.0
- lmdb==1.4.1
- markdown==3.6
- markdown-it-py==3.0.0
- matplotlib==3.8.4
- matplotlib-inline==0.1.7
- mdurl==0.1.2
- mmcv-full==1.7.1
- mmpose==0.28.0
- model-index==0.1.11
- moviepy==1.0.3
- msgpack==1.0.8
- munkres==1.1.4
- mypy-extensions==1.0.0
- nbformat==5.10.4
- nest-asyncio==1.6.0
- networkx==3.2.1
- nodeenv==1.8.0
- numpy==1.23.5
- oauthlib==3.2.2
- objectio==0.2.29
- omegaconf==2.3.0
- open3d==0.18.0
- opencv-python==4.9.0.80
- opencv-python-headless==4.9.0.80
- opendatalab==0.0.10
- openmim==0.3.9
- openxlab==0.0.38
- ordered-set==4.1.0
- oss2==2.17.0
- packaging==24.0
- pandas==2.2.2
- parso==0.8.4
- pathspec==0.12.1
- pexpect==4.9.0
- pillow==9.5.0
- pin==2.6.17
- platformdirs==4.2.1
- plotly==5.21.0
- pluggy==1.5.0
- plyfile==1.0.3
- pre-commit==3.7.0
- proglog==0.1.10
- prompt-toolkit==3.0.43
- protobuf==3.20.1
- ptyprocess==0.7.0
- pure-eval==0.2.2
- py3rosmsgs==1.18.2
- pyasn1==0.6.0
- pyasn1-modules==0.4.0
- pybullet==3.2.6
- pycocotools==2.0.7
- pycryptodome==3.20.0
- pycryptodomex==3.20.0
- pygifsicle==1.0.7
- pyglet==1.5.27
- pygments==2.17.2
- pyopengl==3.1.0
- pyquaternion==0.9.9
- pyrender==0.1.45
- pyserial==3.5
- pytest==8.2.0
- python-dateutil==2.9.0.post0
- pytools==2024.1.2
- pytz==2023.4
- pyzmq==26.0.2
- referencing==0.35.0
- regex==2024.4.28
- requests==2.28.2
- requests-oauthlib==2.0.0
- retrying==1.3.4
- rich==13.4.2
- rosnumpy==0.0.5.2
- rospkg==1.5.1
- rpds-py==0.18.0
- rsa==4.9
- s3transfer==0.10.1
- safetensors==0.4.3
- scikit-image==0.22.0
- seaborn==0.13.2
- setuptools==60.2.0
- setuptools-scm==8.0.4
- shellingham==1.5.4
- simplejson==3.19.2
- smplx==0.1.28
- sophuspy==0.0.8
- stack-data==0.6.3
- supervision==0.20.0
- support-developer==1.0.5
- tenacity==8.2.3
- tensorboard==2.8.0
- tensorboard-data-server==0.6.1
- tensorboard-plugin-wit==1.8.1
- tensorboardx==2.6.2.2
- tifffile==2024.4.24
- timm==0.9.16
- tokenizers==0.19.1
- tomli==2.0.1
- torchgeometry==0.1.2
- tqdm==4.65.2
- traitlets==5.14.3
- transformers==4.40.1
- trimesh==3.23.5
- typer==0.12.3
- tzdata==2024.1
- urllib3==1.26.18
- virtualenv==20.26.1
- wcwidth==0.2.13
- webdataset==0.1.40
- werkzeug==3.0.2
- widgetsnbextension==4.0.10
- xtcocotools==1.14.3
- yapf==0.40.2
- zipp==3.18.1
prefix: /home/che/.conda/envs/home-robotWhenever I try to download the dataset, all the content on the browser breaks down and I get this new error message.
eyucherin
commented
6 months ago I was able to fix the above by using this command MAX_JOBS=1 python -m pip install "git+https://github.com/facebookresearch/pytorch3d.git" when downloading the dataset. Getting help from this issue
BUT I am getting this new error when trying to run the demo setup to OVMM
(home-robot) che@che-MS-7D99:~/home-robot$ python projects/habitat_ovmm/eval_baselines_agent.py --env_config projects/habitat_ovmm/configs/env/hssd_demo.yaml
pybullet build time: Nov 28 2023 23:52:03
/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_geometric/typing.py:72: UserWarning: An issue occurred while importing 'torch-scatter'. Disabling its usage. Stacktrace: /home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_scatter/_version_cuda.so: undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKSs
warnings.warn(f"An issue occurred while importing 'torch-scatter'. "
/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_geometric/typing.py:83: UserWarning: An issue occurred while importing 'torch-cluster'. Disabling its usage. Stacktrace: /home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_cluster/_version_cuda.so: undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKSs
warnings.warn(f"An issue occurred while importing 'torch-cluster'. "
Traceback (most recent call last):
File "/home/che/home-robot/projects/habitat_ovmm/eval_baselines_agent.py", line 10, in <module>
from evaluator import OVMMEvaluator
File "/home/che/home-robot/projects/habitat_ovmm/evaluator.py", line 18, in <module>
from utils.env_utils import create_ovmm_env_fn
File "/home/che/home-robot/projects/habitat_ovmm/utils/env_utils.py", line 13, in <module>
from home_robot_sim.env.habitat_ovmm_env.habitat_ovmm_env import (
File "/home/che/home-robot/src/home_robot_sim/home_robot_sim/env/habitat_ovmm_env/habitat_ovmm_env.py", line 35, in <module>
from home_robot_sim.env.habitat_objectnav_env.visualizer import Visualizer
File "/home/che/home-robot/src/home_robot_sim/home_robot_sim/env/habitat_objectnav_env/visualizer.py", line 19, in <module>
from home_robot.mapping.instance.instance_map import InstanceMemory
File "/home/che/home-robot/src/home_robot/home_robot/mapping/__init__.py", line 5, in <module>
from .voxel import SparseVoxelMap, SparseVoxelMapNavigationSpace
File "/home/che/home-robot/src/home_robot/home_robot/mapping/voxel/__init__.py", line 5, in <module>
from .planners import plan_to_frontier
File "/home/che/home-robot/src/home_robot/home_robot/mapping/voxel/planners.py", line 8, in <module>
from home_robot.mapping.voxel.voxel import SparseVoxelMap
File "/home/che/home-robot/src/home_robot/home_robot/mapping/voxel/voxel.py", line 21, in <module>
from home_robot.mapping.instance import Instance, InstanceMemory, InstanceView
File "/home/che/home-robot/src/home_robot/home_robot/mapping/instance/__init__.py", line 5, in <module>
from .core import Instance, InstanceView
File "/home/che/home-robot/src/home_robot/home_robot/mapping/instance/core.py", line 15, in <module>
from home_robot.utils.point_cloud_torch import get_bounds
File "/home/che/home-robot/src/home_robot/home_robot/utils/point_cloud_torch.py", line 19, in <module>
from torch_geometric.nn.pool.voxel_grid import voxel_grid
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_geometric/__init__.py", line 13, in <module>
import torch_geometric.datasets
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_geometric/datasets/__init__.py", line 101, in <module>
from .explainer_dataset import ExplainerDataset
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_geometric/datasets/explainer_dataset.py", line 9, in <module>
from torch_geometric.explain import Explanation
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_geometric/explain/__init__.py", line 3, in <module>
from .algorithm import * # noqa
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_geometric/explain/algorithm/__init__.py", line 1, in <module>
from .base import ExplainerAlgorithm
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_geometric/explain/algorithm/base.py", line 14, in <module>
from torch_geometric.nn import MessagePassing
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_geometric/nn/__init__.py", line 5, in <module>
from .to_hetero_with_bases_transformer import to_hetero_with_bases
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_geometric/nn/to_hetero_with_bases_transformer.py", line 9, in <module>
from torch_geometric.nn.conv import MessagePassing
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_geometric/nn/conv/__init__.py", line 8, in <module>
from .gravnet_conv import GravNetConv
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_geometric/nn/conv/gravnet_conv.py", line 13, in <module>
from torch_cluster import knn
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_cluster/__init__.py", line 18, in <module>
torch.ops.load_library(spec.origin)
File "/home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch/_ops.py", line 573, in load_library
ctypes.CDLL(path)
File "/home/che/.conda/envs/home-robot/lib/python3.9/ctypes/__init__.py", line 374, in __init__
self._handle = _dlopen(self._name, mode)
OSError: /home/che/.conda/envs/home-robot/lib/python3.9/site-packages/torch_cluster/_version_cuda.so: undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKSs
🐛 Bug
I am trying to participate in the home-robot challenge and have followed the instructions here. Everything works up until step 5. Step 6 tells me to download the required data. When I sign into hugging face there is no place to accept the license which won't let me proceed to next steps.
When I try to download the scenes, I get the following.
Steps to Reproduce
Steps to reproduce the behavior: Follow steps 1~5 in here and try to download scenes without accepting license.
Expected behavior
I should be able to see a place to accept the license for using HSSD scenes in hugging face to download scenes.
Additional context