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facebookresearch / pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
https://pytorch3d.org/
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can't install pytorch3d following the instruction one by one #1084

Closed fengyuan1993012 closed 2 years ago

fengyuan1993012 commented 2 years ago

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! I have followed the instructions one by one to install the pytorch3d, however, I failed. I have seen many issues, finding the problem could be solved by "conda install -c conda-forge -c fvcore fvcore" correctly executed. I didn't come across any problem when I executed the instruction. And I have also seen the issue https://github.com/facebookresearch/pytorch3d/issues/235 finding the problem could be solved by repeatedly following the instructions. however, it didn't work. I have no idea how to fix it. I would appreciate it if you could help me out, Thanks a lot 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):

  1. Any changes you made (git diff) or code you wrote 
    > 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
<put diff or code here>
  2. The exact command(s) you ran:
  3. What you observed (including the full logs): 
    
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 system:

Your installed version is: 2.27

my conda list is below: ```_libgcc_mutex 0.1 main defaults _openmp_mutex 4.5 1_gnu defaults argon2-cffi 21.3.0 pyhd3eb1b0_0 defaults argon2-cffi-bindings 21.2.0 py38h7f8727e_0 defaults attrs 21.4.0 pyhd3eb1b0_0 defaults backcall 0.2.0 pyhd3eb1b0_0 defaults black 22.1.0 pypi_0 pypi blas 1.0 mkl defaults bleach 4.1.0 pyhd3eb1b0_0 defaults bzip2 1.0.8 h7b6447c_0 defaults ca-certificates 2021.10.26 h06a4308_2 defaults certifi 2021.10.8 py38h06a4308_2 defaults cffi 1.15.0 py38hd667e15_1 defaults click 8.0.4 pypi_0 pypi colorama 0.4.4 pyh9f0ad1d_0 conda-forge cudatoolkit 10.2.89 hfd86e86_1 defaults cycler 0.11.0 pypi_0 pypi dbus 1.13.18 hb2f20db_0 defaults debugpy 1.5.1 py38h295c915_0 defaults decorator 5.1.1 pyhd3eb1b0_0 defaults defusedxml 0.7.1 pyhd3eb1b0_0 defaults entrypoints 0.3 py38_0 defaults expat 2.4.4 h295c915_0 defaults ffmpeg 4.3 hf484d3e_0 pytorch flake8 4.0.1 pypi_0 pypi flake8-bugbear 22.1.11 pypi_0 pypi flake8-comprehensions 3.8.0 pypi_0 pypi fontconfig 2.13.1 h6c09931_0 defaults fonttools 4.29.1 pypi_0 pypi freetype 2.11.0 h70c0345_0 defaults fvcore 0.1.5.post20220212 pyhd8ed1ab_0 conda-forge giflib 5.2.1 h7b6447c_0 defaults glib 2.69.1 h4ff587b_1 defaults gmp 6.2.1 h2531618_2 defaults gnutls 3.6.15 he1e5248_0 defaults gst-plugins-base 1.14.0 h8213a91_2 defaults gstreamer 1.14.0 h28cd5cc_2 defaults icu 58.2 he6710b0_3 defaults imageio 2.16.0 pypi_0 pypi importlib-metadata 4.8.2 py38h06a4308_0 defaults importlib_metadata 4.8.2 hd3eb1b0_0 defaults intel-openmp 2021.4.0 h06a4308_3561 defaults ipykernel 6.4.1 py38h06a4308_1 defaults ipython 7.31.1 py38h06a4308_0 defaults ipython_genutils 0.2.0 pyhd3eb1b0_1 defaults ipywidgets 7.6.5 pyhd3eb1b0_1 defaults isort 5.10.1 pypi_0 pypi jedi 0.18.1 py38h06a4308_1 defaults jinja2 3.0.2 pyhd3eb1b0_0 defaults jpeg 9d h7f8727e_0 defaults jsonschema 3.2.0 pyhd3eb1b0_2 defaults jupyter 1.0.0 py38_7 defaults jupyter_client 7.1.2 pyhd3eb1b0_0 defaults jupyter_console 6.4.0 pyhd3eb1b0_0 defaults jupyter_core 4.9.1 py38h06a4308_0 defaults jupyterlab_pygments 0.1.2 py_0 defaults jupyterlab_widgets 1.0.0 pyhd3eb1b0_1 defaults kiwisolver 1.3.2 pypi_0 pypi lame 3.100 h7b6447c_0 defaults lcms2 2.12 h3be6417_0 defaults ld_impl_linux-64 2.35.1 h7274673_9 defaults libffi 3.3 he6710b0_2 defaults libgcc-ng 9.3.0 h5101ec6_17 defaults libgomp 9.3.0 h5101ec6_17 defaults libiconv 1.15 h63c8f33_5 defaults libidn2 2.3.2 h7f8727e_0 defaults libpng 1.6.37 hbc83047_0 defaults libsodium 1.0.18 h7b6447c_0 defaults libstdcxx-ng 9.3.0 hd4cf53a_17 defaults libtasn1 4.16.0 h27cfd23_0 defaults libtiff 4.2.0 h85742a9_0 defaults libunistring 0.9.10 h27cfd23_0 defaults libuuid 1.0.3 h7f8727e_2 defaults libuv 1.40.0 h7b6447c_0 defaults libwebp 1.2.0 h89dd481_0 defaults libwebp-base 1.2.0 h27cfd23_0 defaults libxcb 1.14 h7b6447c_0 defaults libxml2 2.9.12 h03d6c58_0 defaults lz4-c 1.9.3 h295c915_1 defaults markupsafe 2.0.1 py38h27cfd23_0 defaults matplotlib 3.5.1 pypi_0 pypi matplotlib-inline 0.1.2 pyhd3eb1b0_2 defaults mccabe 0.6.1 pypi_0 pypi mistune 0.8.4 py38h7b6447c_1000 defaults mkl 2021.4.0 h06a4308_640 defaults mkl-service 2.4.0 py38h7f8727e_0 defaults mkl_fft 1.3.1 py38hd3c417c_0 defaults mkl_random 1.2.2 py38h51133e4_0 defaults mypy-extensions 0.4.3 pypi_0 pypi nbclient 0.5.11 pyhd3eb1b0_0 defaults nbconvert 6.3.0 py38h06a4308_0 defaults nbformat 5.1.3 pyhd3eb1b0_0 defaults ncurses 6.3 h7f8727e_2 defaults nest-asyncio 1.5.1 pyhd3eb1b0_0 defaults nettle 3.7.3 hbbd107a_1 defaults networkx 2.6.3 pypi_0 pypi notebook 6.4.8 py38h06a4308_0 defaults numpy 1.21.2 py38h20f2e39_0 defaults numpy-base 1.21.2 py38h79a1101_0 defaults olefile 0.46 pyhd3eb1b0_0 defaults openh264 2.1.1 h4ff587b_0 defaults openssl 1.1.1m h7f8727e_0 defaults packaging 21.3 pyhd3eb1b0_0 defaults pandocfilters 1.5.0 pyhd3eb1b0_0 defaults parso 0.8.3 pyhd3eb1b0_0 defaults pathspec 0.9.0 pypi_0 pypi pcre 8.45 h295c915_0 defaults pexpect 4.8.0 pyhd3eb1b0_3 defaults pickleshare 0.7.5 pyhd3eb1b0_1003 defaults pillow 8.4.0 py38h5aabda8_0 defaults pip 21.2.4 py38h06a4308_0 defaults platformdirs 2.5.1 pypi_0 pypi portalocker 2.3.2 py38h578d9bd_1 conda-forge prometheus_client 0.13.1 pyhd3eb1b0_0 defaults prompt-toolkit 3.0.20 pyhd3eb1b0_0 defaults prompt_toolkit 3.0.20 hd3eb1b0_0 defaults ptyprocess 0.7.0 pyhd3eb1b0_2 defaults pycodestyle 2.8.0 pypi_0 pypi pycparser 2.21 pyhd3eb1b0_0 defaults pyflakes 2.4.0 pypi_0 pypi pygments 2.11.2 pyhd3eb1b0_0 defaults pyparsing 3.0.4 pyhd3eb1b0_0 defaults pyqt 5.9.2 py38h05f1152_4 defaults pyrsistent 0.18.0 py38heee7806_0 defaults python 3.8.12 h12debd9_0 defaults python-dateutil 2.8.2 pyhd3eb1b0_0 defaults python_abi 3.8 2_cp38 conda-forge pytorch 1.10.2 py3.8_cuda10.2_cudnn7.6.5_0 pytorch pytorch-mutex 1.0 cuda pytorch pywavelets 1.2.0 pypi_0 pypi pyyaml 5.4.1 py38h497a2fe_0 conda-forge pyzmq 22.3.0 py38h295c915_2 defaults qt 5.9.7 h5867ecd_1 defaults qtconsole 5.2.2 pyhd3eb1b0_0 defaults qtpy 1.11.2 pyhd3eb1b0_0 defaults readline 8.1.2 h7f8727e_1 defaults scikit-image 0.19.2 pypi_0 pypi scipy 1.8.0 pypi_0 pypi send2trash 1.8.0 pyhd3eb1b0_1 defaults setuptools 58.0.4 py38h06a4308_0 defaults sip 4.19.13 py38h295c915_0 defaults six 1.16.0 pyhd3eb1b0_1 defaults sqlite 3.37.2 hc218d9a_0 defaults tabulate 0.8.9 pyhd8ed1ab_0 conda-forge termcolor 1.1.0 py_2 conda-forge terminado 0.13.1 py38h06a4308_0 defaults testpath 0.5.0 pyhd3eb1b0_0 defaults tifffile 2022.2.9 pypi_0 pypi tk 8.6.11 h1ccaba5_0 defaults tomli 2.0.1 pypi_0 pypi torchvision 0.11.3 py38_cu102 pytorch tornado 6.1 py38h27cfd23_0 defaults tqdm 4.62.3 pyhd8ed1ab_0 conda-forge traitlets 5.1.1 pyhd3eb1b0_0 defaults typing-extensions 3.10.0.2 hd3eb1b0_0 defaults typing_extensions 3.10.0.2 pyh06a4308_0 defaults wcwidth 0.2.5 pyhd3eb1b0_0 defaults webencodings 0.5.1 py38_1 defaults wheel 0.37.1 pyhd3eb1b0_0 defaults widgetsnbextension 3.5.2 py38h06a4308_0 defaults xz 5.2.5 h7b6447c_0 defaults yacs 0.1.6 py_0 conda-forge yaml 0.2.5 h516909a_0 conda-forge zeromq 4.3.4 h2531618_0 defaults zipp 3.7.0 pyhd3eb1b0_0 defaults zlib 1.2.11 h7f8727e_4 defaults zstd 1.4.9 haebb681_0 defaults Please also simplify the steps as much as possible so they do not require additional resources to run, such as a private dataset.
fengyuan1993012 commented 2 years ago

sorry for the mix. the correct result of conda list is below: _libgcc_mutex 0.1 main defaults _openmp_mutex 4.5 1_gnu defaults _pytorch_select 0.2 gpu_0 defaults attrs 21.4.0 pyhd3eb1b0_0 defaults blas 1.0 mkl defaults ca-certificates 2021.10.26 h06a4308_2 defaults certifi 2021.10.8 py38h06a4308_2 defaults cffi 1.15.0 py38hd667e15_1 defaults cudatoolkit 10.1.243 h6bb024c_0 defaults cudnn 7.6.5 cuda10.1_0 defaults fvcore 0.1.5.post20220212 pypi_0 pypi intel-openmp 2022.0.1 h06a4308_3633 defaults iopath 0.1.9 pypi_0 pypi ld_impl_linux-64 2.35.1 h7274673_9 defaults libffi 3.3 he6710b0_2 defaults libgcc-ng 9.3.0 h5101ec6_17 defaults libgfortran-ng 7.5.0 ha8ba4b0_17 defaults libgfortran4 7.5.0 ha8ba4b0_17 defaults libgomp 9.3.0 h5101ec6_17 defaults libstdcxx-ng 9.3.0 hd4cf53a_17 defaults mkl 2020.2 256 defaults mkl-service 2.3.0 py38he904b0f_0 defaults mkl_fft 1.3.0 py38h54f3939_0 defaults mkl_random 1.1.1 py38h0573a6f_0 defaults more-itertools 8.12.0 pyhd3eb1b0_0 defaults ncurses 6.3 h7f8727e_2 defaults ninja 1.10.2 py38hd09550d_3 defaults numpy 1.18.1 py38h4f9e942_0 defaults numpy-base 1.18.1 py38hde5b4d6_1 defaults openssl 1.1.1m h7f8727e_0 defaults packaging 21.3 pyhd3eb1b0_0 defaults pillow 9.0.1 pypi_0 pypi pip 21.2.4 py38h06a4308_0 defaults pluggy 0.13.1 py38h06a4308_0 defaults portalocker 2.4.0 pypi_0 pypi py 1.11.0 pyhd3eb1b0_0 defaults pycparser 2.21 pyhd3eb1b0_0 defaults pyparsing 3.0.4 pyhd3eb1b0_0 defaults pytest 5.4.2 py38_0 defaults python 3.8.2 hcff3b4d_14 defaults pytorch 1.4.0 cuda101py38h02f0884_0 defaults pytorch3d 0.6.1 pypi_0 pypi pyyaml 6.0 pypi_0 pypi readline 8.1.2 h7f8727e_1 defaults setuptools 58.0.4 py38h06a4308_0 defaults six 1.16.0 pyhd3eb1b0_1 defaults sqlite 3.37.2 hc218d9a_0 defaults tabulate 0.8.9 pypi_0 pypi termcolor 1.1.0 pypi_0 pypi tk 8.6.11 h1ccaba5_0 defaults torchvision 0.5.0 pypi_0 pypi tqdm 4.62.3 pypi_0 pypi wcwidth 0.2.5 pyhd3eb1b0_0 defaults wheel 0.37.1 pyhd3eb1b0_0 defaults xz 5.2.5 h7b6447c_0 defaults yacs 0.1.8 pypi_0 pypi zlib 1.2.11 h7f8727e_4 defaults

fengyuan1993012 commented 2 years ago

the problem has been resolved by the following instructions: conda create --name quick_test_env python=3.8 conda activate quick_test_env conda install numpy pillow matplotlib conda install -c conda-forge opencv conda install pytorch=1.10.0 torchvision torchaudio cudatoolkit=11.3 -c pytorch -c conda-forge conda install -c fvcore -c iopath -c conda-forge fvcore iopath conda install -c pytorch3d pytorch3d thanks a lot https://github.com/facebookresearch/pytorch3d/issues/1076