Pytorch3d: Installation procedure issues
If you do not know the root cause of the problem / bug, and wish someone to help you, please
post according to this template:
🐛 Bugs / Unexpected behaviors
Hello everyone. I tried to install pytorch3d according to the README but it fails.
NOTE: Please look at the existing list of Issues tagged with the label 'bug`. Only open a new issue if this bug has not already been reported. If an issue already exists, please comment there instead..
Instructions To Reproduce the Issue:
Please include the following (depending on what the issue is):
- Any changes you made (
git diff) or code you wrote
- The exact command(s) you ran:
$ conda create -n pytorch3d python=3.8
$ conda activate pytorch3d
$ conda install -c pytorch pytorch torchvision cudatoolkit=10.2
$ conda install -c conda-forge -c fvcore fvcore
$ conda install jupyter
$ pip install scikit-image matplotlib imageio
$ pip install black isort flake8 flake8-bugbear flake8-comprehensions
$ conda install pytorch3d -c pytorch3d
- What you observed (including the full logs):
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versionsThe following specifications were found to be incompatible with your CUDA driver:
- feature:/linux-64::__cuda==10.2=0
Your installed CUDA driver is: 10.2
Then I ran the following command again according to the existing issue #235.
$ conda install -c conda-forge -c fvcore fvcore
And I got the below log.
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /home/udemegane/anaconda3/envs/pytorch3d
added / updated specs:
- fvcore
The following packages will be UPDATED:
ca-certificates pkgs/main::ca-certificates-2020.1.1-0 --> conda-forge::ca-certificates-2020.6.20-hecda079_0
The following packages will be SUPERSEDED by a higher-priority channel:
certifi pkgs/main::certifi-2020.6.20-py38_0 --> conda-forge::certifi-2020.6.20-py38h32f6830_0
openssl pkgs/main::openssl-1.1.1g-h7b6447c_0 --> conda-forge::openssl-1.1.1g-h516909a_0
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
After that, I tried installing pytorch3d again.
But it fails. I got the bellow error log. This is different from the previous error log.
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versionsThe following specifications were found to be incompatible with your CUDA driver:
- feature:/linux-64::__cuda==10.2=0
- feature:|@/linux-64::__cuda==10.2=0
Your installed CUDA driver is: 10.2
Night builds will fail as well.
$ conda install pytorch3d -c pytorch3d-nightly
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: |
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versionsThe following specifications were found to be incompatible with your CUDA driver:
- feature:/linux-64::__cuda==10.2=0
Your installed CUDA driver is: 10.2
Below is my environment.
- conda list
$ conda list
# packages in environment at /home/udemegane/anaconda3/envs/pytorch3d:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
appdirs 1.4.4 pypi_0 pypi
attrs 19.3.0 py_0
backcall 0.2.0 py_0
black 19.10b0 pypi_0 pypi
blas 1.0 mkl
bleach 3.1.5 py_0
ca-certificates 2020.6.20 hecda079_0 conda-forge
certifi 2020.6.20 py38h32f6830_0 conda-forge
click 7.1.2 pypi_0 pypi
cudatoolkit 10.2.89 hfd86e86_1
cycler 0.10.0 pypi_0 pypi
dbus 1.13.14 hb2f20db_0
decorator 4.4.2 py_0
defusedxml 0.6.0 py_0
entrypoints 0.3 py38_0
expat 2.2.6 he6710b0_0
flake8 3.8.3 pypi_0 pypi
flake8-bugbear 20.1.4 pypi_0 pypi
flake8-comprehensions 3.2.3 pypi_0 pypi
fontconfig 2.13.0 h9420a91_0
freetype 2.10.2 h5ab3b9f_0
fvcore 0.1.1.post20200622 py_0 conda-forge
glib 2.63.1 h3eb4bd4_1
gmp 6.1.2 h6c8ec71_1
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb31296c_0
icu 58.2 he6710b0_3
imageio 2.8.0 pypi_0 pypi
importlib-metadata 1.6.1 py38_0
importlib_metadata 1.6.1 0
intel-openmp 2020.1 217
ipykernel 5.3.0 py38h5ca1d4c_0
ipython 7.15.0 py38_0
ipython_genutils 0.2.0 py38_0
ipywidgets 7.5.1 py_0
isort 4.3.21 pypi_0 pypi
jedi 0.17.1 py38_0
jinja2 2.11.2 py_0
jpeg 9b h024ee3a_2
jsonschema 3.2.0 py38_0
jupyter 1.0.0 py38_7
jupyter_client 6.1.3 py_0
jupyter_console 6.1.0 py_0
jupyter_core 4.6.3 py38_0
kiwisolver 1.2.0 pypi_0 pypi
ld_impl_linux-64 2.33.1 h53a641e_7
libedit 3.1.20191231 h7b6447c_0
libffi 3.3 he6710b0_1
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
libpng 1.6.37 hbc83047_0
libsodium 1.0.16 h1bed415_0
libstdcxx-ng 9.1.0 hdf63c60_0
libtiff 4.1.0 h2733197_1
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxml2 2.9.10 he19cac6_1
lz4-c 1.9.2 he6710b0_0
markupsafe 1.1.1 py38h7b6447c_0
matplotlib 3.2.2 pypi_0 pypi
mccabe 0.6.1 pypi_0 pypi
mistune 0.8.4 py38h7b6447c_1000
mkl 2020.1 217
mkl-service 2.3.0 py38he904b0f_0
mkl_fft 1.1.0 py38h23d657b_0
mkl_random 1.1.1 py38h0573a6f_0
nbconvert 5.6.1 py38_0
nbformat 5.0.7 py_0
ncurses 6.2 he6710b0_1
networkx 2.4 pypi_0 pypi
ninja 1.9.0 py38hfd86e86_0
notebook 6.0.3 py38_0
numpy 1.18.5 py38ha1c710e_0
numpy-base 1.18.5 py38hde5b4d6_0
olefile 0.46 py_0
openssl 1.1.1g h516909a_0 conda-forge
packaging 20.4 py_0
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py38_1
parso 0.7.0 py_0
pathspec 0.8.0 pypi_0 pypi
pcre 8.43 he6710b0_0
pexpect 4.8.0 py38_0
pickleshare 0.7.5 py38_1000
pillow 7.1.2 py38hb39fc2d_0
pip 20.1.1 py38_1
portalocker 1.7.0 py38h32f6830_0 conda-forge
prometheus_client 0.8.0 py_0
prompt-toolkit 3.0.5 py_0
prompt_toolkit 3.0.5 0
ptyprocess 0.6.0 py38_0
pycodestyle 2.6.0 pypi_0 pypi
pyflakes 2.2.0 pypi_0 pypi
pygments 2.6.1 py_0
pyparsing 2.4.7 py_0
pyqt 5.9.2 py38h05f1152_4
pyrsistent 0.16.0 py38h7b6447c_0
python 3.8.3 hcff3b4d_0
python-dateutil 2.8.1 py_0
python_abi 3.8 1_cp38 conda-forge
pytorch 1.5.1 py3.8_cuda10.2.89_cudnn7.6.5_0 pytorch
pywavelets 1.1.1 pypi_0 pypi
pyyaml 5.3.1 py38h1e0a361_0 conda-forge
pyzmq 18.1.1 py38he6710b0_0
qt 5.9.7 h5867ecd_1
qtconsole 4.7.5 py_0
qtpy 1.9.0 py_0
readline 8.0 h7b6447c_0
regex 2020.6.8 pypi_0 pypi
scikit-image 0.17.2 pypi_0 pypi
scipy 1.5.0 pypi_0 pypi
send2trash 1.5.0 py38_0
setuptools 47.3.1 py38_0
sip 4.19.13 py38he6710b0_0
six 1.15.0 py_0
sqlite 3.32.3 h62c20be_0
tabulate 0.8.7 pyh9f0ad1d_0 conda-forge
termcolor 1.1.0 py_2 conda-forge
terminado 0.8.3 py38_0
testpath 0.4.4 py_0
tifffile 2020.6.3 pypi_0 pypi
tk 8.6.10 hbc83047_0
toml 0.10.1 pypi_0 pypi
torchvision 0.6.1 py38_cu102 pytorch
tornado 6.0.4 py38h7b6447c_1
tqdm 4.46.1 pyh9f0ad1d_0 conda-forge
traitlets 4.3.3 py38_0
typed-ast 1.4.1 pypi_0 pypi
wcwidth 0.2.4 py_0
webencodings 0.5.1 py38_1
wheel 0.34.2 py38_0
widgetsnbextension 3.5.1 py38_0
xz 5.2.5 h7b6447c_0
yacs 0.1.6 py_0 conda-forge
yaml 0.2.5 h516909a_0 conda-forge
zeromq 4.3.1 he6710b0_3
zipp 3.1.0 py_0
zlib 1.2.11 h7b6447c_3
zstd 1.4.4 h0b5b093_3
- conda info
$ conda info
active environment : pytorch3d
active env location : /home/udemegane/anaconda3/envs/pytorch3d
shell level : 2
user config file : /home/udemegane/.condarc
populated config files : /home/udemegane/.condarc
conda version : 4.8.3
conda-build version : 3.18.11
python version : 3.7.6.final.0
virtual packages : __cuda=10.2
__glibc=2.31
base environment : /home/udemegane/anaconda3 (writable)
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /home/udemegane/anaconda3/pkgs
/home/udemegane/.conda/pkgs
envs directories : /home/udemegane/anaconda3/envs
/home/udemegane/.conda/envs
platform : linux-64
user-agent : conda/4.8.3 requests/2.22.0 CPython/3.7.6 Linux/5.4.0-37-generic ubuntu/20.04 glibc/2.31
UID:GID : 1000:1000
netrc file : None
offline mode : False
- nvidia-smi
$ nvidia-smi
Tue Jun 23 19:00:55 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64 Driver Version: 440.64 CUDA Version: 10.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce RTX 2080 Off | 00000000:09:00.0 On | N/A |
| 11% 55C P0 50W / 225W | 2806MiB / 7979MiB | 34% Default |
+-------------------------------+----------------------+----------------------+
- OS
$ cat /etc/os-release
NAME="Ubuntu"
VERSION="20.04 LTS (Focal Fossa)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 20.04 LTS"
VERSION_ID="20.04"
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
VERSION_CODENAME=focal
UBUNTU_CODENAME=focal
I tried it on another PC, but again I can't install due to a similar error. Please advise me.
Thank you.
Please also simplify the steps as much as possible so they do not require additional resources to
run, such as a private dataset.
installation
udemegane
All 3 comments
I can replicate a problem like this, slightly different error message. Several packages we depend on have been updated recently and it might take a while to get to the bottom of it.
When I downloaded the right package direct from the anaconda website it worked - https://anaconda.org/pytorch3d/pytorch3d/0.2.0/download/linux-64/pytorch3d-0.2.0-py38_cu102_pyt15.tar.bz2 is the one for your combination. As a quick fix for now, can you download it and then install it with conda install ./pytorch3d-0.2.0-py38_cu102_pyt15.tar.bz2?
bottler
on 23 Jun 2020
👍1
The issue here is that it's slightly underspecified whether the released packages are compatible with the new release 1.5.1 of pytorch which came out a few days ago.
In the nightly channel, there are now separate packages for pytorch 1.5.0 and 1.5.1. I recommend you use
conda install pytorch3d -c pytorch3d-nightly.
bottler
on 24 Jun 2020
👍2
The problem is resolved. Thank you for your quick response!
udemegane
on 28 Jun 2020
Was this page helpful?
0 / 5 - 0 ratings
Related issues
aluo-x
·
3Comments
elcronos
·
3Comments
shersoni610
·
3Comments
TSKongLingwei
·
3Comments
unlugi
·
3Comments
Most helpful comment
The issue here is that it's slightly underspecified whether the released packages are compatible with the new release 1.5.1 of pytorch which came out a few days ago.
In the nightly channel, there are now separate packages for pytorch 1.5.0 and 1.5.1. I recommend you use
conda install pytorch3d -c pytorch3d-nightly.