Describe the bug
After pulling the container from NGC, and source activate rapids, if you run
conda list
cuml package version is 0+unknown
Steps/Code to reproduce bug
docker pull nvcr.io/nvidia/rapidsai/rapidsai:cuda9.2-runtime-ubuntu18.04
docker run --runtime=nvidia --rm -it -v ~/rapids/data:/rapids/data -p 8888:8888 -p 8787:8787 -p 8786:8786 nvcr.io/nvidia/rapidsai/rapidsai:cuda9.2-runtime-ubuntu18.04
source activate rapids
conda list
Expected behavior
0.5.0
Environment details (please complete the following information):
CONDA_SHLVL=1
LS_COLORS=rs=0:di=01;34:ln=01;36:mh=00:pi=40;33:so=01;35:do=01;35:bd=40;33;01:cd=40;33;01:or=40;31;01:mi=00:su=37;41:sg=30;43:ca=30;41:tw=30;42:ow=34;42:st=37;44:ex=01;32:.tar=01;31:.tgz=01;31:.arc=01;31:.arj=01;31:.taz=01;31:.lha=01;31:.lz4=01;31:.lzh=01;31:.lzma=01;31:.tlz=01;31:.txz=01;31:.tzo=01;31:.t7z=01;31:.zip=01;31:.z=01;31:.Z=01;31:.dz=01;31:.gz=01;31:.lrz=01;31:.lz=01;31:.lzo=01;31:.xz=01;31:.zst=01;31:.tzst=01;31:.bz2=01;31:.bz=01;31:.tbz=01;31:.tbz2=01;31:.tz=01;31:.deb=01;31:.rpm=01;31:.jar=01;31:.war=01;31:.ear=01;31:.sar=01;31:.rar=01;31:.alz=01;31:.ace=01;31:.zoo=01;31:.cpio=01;31:.7z=01;31:.rz=01;31:.cab=01;31:.wim=01;31:.swm=01;31:.dwm=01;31:.esd=01;31:.jpg=01;35:.jpeg=01;35:.mjpg=01;35:.mjpeg=01;35:.gif=01;35:.bmp=01;35:.pbm=01;35:.pgm=01;35:.ppm=01;35:.tga=01;35:.xbm=01;35:.xpm=01;35:.tif=01;35:.tiff=01;35:.png=01;35:.svg=01;35:.svgz=01;35:.mng=01;35:.pcx=01;35:.mov=01;35:.mpg=01;35:.mpeg=01;35:.m2v=01;35:.mkv=01;35:.webm=01;35:.ogm=01;35:.mp4=01;35:.m4v=01;35:.mp4v=01;35:.vob=01;35:.qt=01;35:.nuv=01;35:.wmv=01;35:.asf=01;35:.rm=01;35:.rmvb=01;35:.flc=01;35:.avi=01;35:.fli=01;35:.flv=01;35:.gl=01;35:.dl=01;35:.xcf=01;35:.xwd=01;35:.yuv=01;35:.cgm=01;35:.emf=01;35:.ogv=01;35:.ogx=01;35:.aac=00;36:.au=00;36:.flac=00;36:.m4a=00;36:.mid=00;36:.midi=00;36:.mka=00;36:.mp3=00;36:.mpc=00;36:.ogg=00;36:.ra=00;36:.wav=00;36:.oga=00;36:.opus=00;36:.spx=00;36:.xspf=00;36:
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
CONDA_EXE=/conda/bin/conda
LESSCLOSE=/usr/bin/lesspipe %s %s
HOSTNAME=59c7fb5e8b40
OLDPWD=/rapids/notebooks
CUDAHOSTCXX=/usr/bin/g++-7
CONDA_PREFIX=/conda/envs/rapids
NVIDIA_VISIBLE_DEVICES=all
CC=/usr/bin/gcc-7
NCCL_VERSION=2.3.7
PWD=/rapids/notebooks/utils
NUMBAPRO_NVVM=/usr/local/cuda/nvvm/lib64/libnvvm.so
HOME=/root
CONDA_PYTHON_EXE=/conda/bin/python
DEBIAN_FRONTEND=noninteractive
PARALLEL_LEVEL=4
LIBRARY_PATH=/usr/local/cuda/lib64/stubs
CONDA_PROMPT_MODIFIER=(rapids)
CXX=/usr/bin/g++-7
TERM=xterm
CUDA_PKG_VERSION=9-2=9.2.148-1
CUDA_VERSION=9.2.148
NVIDIA_DRIVER_CAPABILITIES=compute,utility
SHLVL=1
NVIDIA_REQUIRE_CUDA=cuda>=9.2
PATH=/conda/envs/rapids/bin:/conda/condabin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/conda/bin
NUMBAPRO_LIBDEVICE=/usr/local/cuda/nvvm/libdevice
CONDA_DEFAULT_ENV=rapids
LESSOPEN=| /usr/bin/lesspipe %s
_=/usr/bin/printenv
(rapids) root@59c7fb5e8b40:/rapids/notebooks/utils#
Additional context
Add any other context about the problem here.
Solution has been found, PR coming soon and will be fixed for 0.6.
Awesome news!
Same solution could potentially be applied to this issue:
https://github.com/rapidsai/cudf/issues/852
Regard,
Miguel
Fixed on 0.5.1 release. Thank you!
Most helpful comment
Solution has been found, PR coming soon and will be fixed for 0.6.