Paint3D
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Published
20 hours ago •
OpenTexture
OpenTexture
unable to install dependencies
On Linux, I am trying to follow your exact recipe with:
- cuda 11.6
- pytorch 1.12.1
conda create -n paint3d python=3.8
conda activate
export CUDA_HOME=/usr/local/cuda-11.6
# following directions from here: https://pytorch.org/get-started/previous-versions/
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.6 -c pytorch -c conda-forge
It fails with the following error:
$ conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.6 -c pytorch -c conda-forge
Collecting package metadata (current_repodata.json): \ WARNING conda.models.version:get_matcher(546): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.7.1.*, but conda is ignoring the .* and treating it as 1.7.1
done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): / WARNING conda.models.version:get_matcher(546): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.9.0.*, but conda is ignoring the .* and treating it as 1.9.0
WARNING conda.models.version:get_matcher(546): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.8.0.*, but conda is ignoring the .* and treating it as 1.8.0
WARNING conda.models.version:get_matcher(546): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.6.0.*, but conda is ignoring the .* and treating it as 1.6.0
done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: done
## Package Plan ##
environment location: /home/ubuntu/anaconda3/envs/paint3d
added / updated specs:
- cudatoolkit=11.6
- pytorch==1.12.1
- torchaudio==0.12.1
- torchvision==0.13.1
The following packages will be downloaded:
package | build
---------------------------|-----------------
blas-2.122 | mkl 14 KB conda-forge
blas-devel-3.9.0 | 22_linux64_mkl 14 KB conda-forge
brotli-python-1.1.0 | py38h17151c0_1 343 KB conda-forge
certifi-2024.7.4 | pyhd8ed1ab_0 156 KB conda-forge
cudatoolkit-11.6.2 | hfc3e2af_13 598.8 MB conda-forge
gmp-6.3.0 | hac33072_2 449 KB conda-forge
jpeg-9e | h0b41bf4_3 235 KB conda-forge
libblas-3.9.0 | 22_linux64_mkl 15 KB conda-forge
libcblas-3.9.0 | 22_linux64_mkl 14 KB conda-forge
libgfortran-ng-14.1.0 | h69a702a_0 49 KB conda-forge
libgfortran5-14.1.0 | hc5f4f2c_0 1.4 MB conda-forge
libhwloc-2.11.0 |default_h5622ce7_1000 2.3 MB conda-forge
liblapack-3.9.0 | 22_linux64_mkl 14 KB conda-forge
liblapacke-3.9.0 | 22_linux64_mkl 14 KB conda-forge
libxml2-2.12.7 | hc051c1a_1 688 KB conda-forge
llvm-openmp-18.1.7 | ha31de31_0 55.9 MB conda-forge
mkl-2024.1.0 | ha957f24_693 121.2 MB conda-forge
mkl-devel-2024.1.0 | ha770c72_693 34 KB conda-forge
mkl-include-2024.1.0 | ha957f24_693 680 KB conda-forge
numpy-1.24.4 | py38h59b608b_0 6.4 MB conda-forge
openh264-2.1.1 | h780b84a_0 1.5 MB conda-forge
pillow-9.4.0 | py38hde6dc18_1 43.8 MB conda-forge
python_abi-3.8 | 4_cp38 6 KB conda-forge
pytorch-1.12.1 |py3.8_cuda11.6_cudnn8.3.2_0 1.20 GB pytorch
tbb-2021.12.0 | h434a139_2 188 KB conda-forge
torchaudio-0.12.1 | py38_cu116 6.2 MB pytorch
torchvision-0.13.1 | py38_cu116 7.7 MB pytorch
typing_extensions-4.12.2 | pyha770c72_0 39 KB conda-forge
urllib3-2.2.2 | pyhd8ed1ab_0 93 KB conda-forge
------------------------------------------------------------
Total: 2.03 GB
The following NEW packages will be INSTALLED:
blas conda-forge/linux-64::blas-2.122-mkl
blas-devel conda-forge/linux-64::blas-devel-3.9.0-22_linux64_mkl
brotli-python conda-forge/linux-64::brotli-python-1.1.0-py38h17151c0_1
certifi conda-forge/noarch::certifi-2024.7.4-pyhd8ed1ab_0
charset-normalizer conda-forge/noarch::charset-normalizer-3.3.2-pyhd8ed1ab_0
cudatoolkit conda-forge/linux-64::cudatoolkit-11.6.2-hfc3e2af_13
ffmpeg pytorch/linux-64::ffmpeg-4.3-hf484d3e_0
freetype conda-forge/linux-64::freetype-2.12.1-h267a509_2
gmp conda-forge/linux-64::gmp-6.3.0-hac33072_2
gnutls conda-forge/linux-64::gnutls-3.6.13-h85f3911_1
icu conda-forge/linux-64::icu-73.2-h59595ed_0
idna conda-forge/noarch::idna-3.7-pyhd8ed1ab_0
jpeg conda-forge/linux-64::jpeg-9e-h0b41bf4_3
lame conda-forge/linux-64::lame-3.100-h166bdaf_1003
lcms2 conda-forge/linux-64::lcms2-2.15-hfd0df8a_0
lerc conda-forge/linux-64::lerc-4.0.0-h27087fc_0
libblas conda-forge/linux-64::libblas-3.9.0-22_linux64_mkl
libcblas conda-forge/linux-64::libcblas-3.9.0-22_linux64_mkl
libdeflate conda-forge/linux-64::libdeflate-1.17-h0b41bf4_0
libgfortran-ng conda-forge/linux-64::libgfortran-ng-14.1.0-h69a702a_0
libgfortran5 conda-forge/linux-64::libgfortran5-14.1.0-hc5f4f2c_0
libhwloc conda-forge/linux-64::libhwloc-2.11.0-default_h5622ce7_1000
libiconv conda-forge/linux-64::libiconv-1.17-hd590300_2
liblapack conda-forge/linux-64::liblapack-3.9.0-22_linux64_mkl
liblapacke conda-forge/linux-64::liblapacke-3.9.0-22_linux64_mkl
libpng conda-forge/linux-64::libpng-1.6.43-h2797004_0
libstdcxx-ng conda-forge/linux-64::libstdcxx-ng-14.1.0-hc0a3c3a_0
libtiff conda-forge/linux-64::libtiff-4.5.0-h6adf6a1_2
libwebp-base conda-forge/linux-64::libwebp-base-1.4.0-hd590300_0
libxcb conda-forge/linux-64::libxcb-1.13-h7f98852_1004
libxml2 conda-forge/linux-64::libxml2-2.12.7-hc051c1a_1
llvm-openmp conda-forge/linux-64::llvm-openmp-18.1.7-ha31de31_0
mkl conda-forge/linux-64::mkl-2024.1.0-ha957f24_693
mkl-devel conda-forge/linux-64::mkl-devel-2024.1.0-ha770c72_693
mkl-include conda-forge/linux-64::mkl-include-2024.1.0-ha957f24_693
nettle conda-forge/linux-64::nettle-3.6-he412f7d_0
numpy conda-forge/linux-64::numpy-1.24.4-py38h59b608b_0
openh264 conda-forge/linux-64::openh264-2.1.1-h780b84a_0
openjpeg conda-forge/linux-64::openjpeg-2.5.0-hfec8fc6_2
pillow conda-forge/linux-64::pillow-9.4.0-py38hde6dc18_1
pthread-stubs conda-forge/linux-64::pthread-stubs-0.4-h36c2ea0_1001
pysocks conda-forge/noarch::pysocks-1.7.1-pyha2e5f31_6
python_abi conda-forge/linux-64::python_abi-3.8-4_cp38
pytorch pytorch/linux-64::pytorch-1.12.1-py3.8_cuda11.6_cudnn8.3.2_0
pytorch-mutex pytorch/noarch::pytorch-mutex-1.0-cuda
requests conda-forge/noarch::requests-2.32.3-pyhd8ed1ab_0
tbb conda-forge/linux-64::tbb-2021.12.0-h434a139_2
torchaudio pytorch/linux-64::torchaudio-0.12.1-py38_cu116
torchvision pytorch/linux-64::torchvision-0.13.1-py38_cu116
typing_extensions conda-forge/noarch::typing_extensions-4.12.2-pyha770c72_0
urllib3 conda-forge/noarch::urllib3-2.2.2-pyhd8ed1ab_0
xorg-libxau conda-forge/linux-64::xorg-libxau-1.0.11-hd590300_0
xorg-libxdmcp conda-forge/linux-64::xorg-libxdmcp-1.1.3-h7f98852_0
zlib conda-forge/linux-64::zlib-1.2.13-h4ab18f5_6
zstd conda-forge/linux-64::zstd-1.5.6-ha6fb4c9_0
The following packages will be DOWNGRADED:
_openmp_mutex 4.5-2_gnu --> 4.5-2_kmp_llvm
libzlib 1.3.1-h4ab18f5_1 --> 1.2.13-h4ab18f5_6
Proceed ([y]/n)? y
Downloading and Extracting Packages
InvalidArchiveError('Error with archive /home/ubuntu/anaconda3/pkgs/llvm-openmp-18.1.7-ha31de31_0.conda. You probably need to delete and re-download or re-create this file. Message was:\n\nfailed with error: File is not a zip file')
Any suggestions on this? Or, are there any tips on how to get the right version of pytorch, compiled with the right version of cuda?
