Open aph61 opened 1 year ago
Thanks for the issue @aph61, I don't see either cudf or cuml in the output of conda list, there is a chance that there is a mix between conda environments and virtual environments, did you activate the conda env (conda activate rapids-23.02
) after creating it?
Hi Dante, Thanks for looking into it. I'm out for the Easter weekend, so I'll get back to you next week. Have a nice weekend, Andreas
On Fri, 7 Apr 2023, 22.48 Dante Gama Dessavre, @.***> wrote:
Thanks for the issue @aph61 https://github.com/aph61, I don't see either cudf or cuml in the output of conda list, there is a chance that there is a mix between conda environments and virtual environments, did you activate the conda env (conda activate rapids-23.02) after creating it?
— Reply to this email directly, view it on GitHub https://github.com/rapidsai/cuml/issues/5330#issuecomment-1500590165, or unsubscribe https://github.com/notifications/unsubscribe-auth/AFO2PW4WXNJYREJ55GIHH33XABVQ3ANCNFSM6AAAAAAWTEMMJU . You are receiving this because you were mentioned.Message ID: @.***>
Hi Dante,
thanks for getting back
this time I tested everything in the bare python3 command line interface to reduce possible interactions with other sw as much as possible.
I did as you suggested: In the dir ~/aconda3/envs I entered conda activate rapids-23.02
. That unfortunately did not help, the line >>> from cuml.cluster import HDBSCAN
failed (see details below). I reinstalled all libraries again (overwriting the existing) with conda create -n rapids-23.02 -c rapidsai -c conda-forge -c nvidia rapids=23.02 python=3.10 cudatoolkit=11.8
I verified the environment and found many cuda/cuml etc. related libraries (I don't know if it's all of them). However, >>> from cuml.cluster import HDBSCAN
still failed.
All other parameters remained the same. I hope this gives you the needed information
best,
Andreas
Below all the detailed error messages
>>> from cuml.cluster import HDBSCAN
failed with the error message
--------------------------------------------------------------------------------
CuPy may not function correctly because multiple CuPy packages are installed
in your environment:
cupy, cupy-cuda11x
Follow these steps to resolve this issue:
1. For all packages listed above, run the following command to remove all
existing CuPy installations:
$ pip uninstall <package_name>
If you previously installed CuPy via conda, also run the following:
$ conda uninstall cupy
2. Install the appropriate CuPy package.
Refer to the Installation Guide for detailed instructions.
https://docs.cupy.dev/en/stable/install.html
warnings.warn(f
Traceback (most recent call last):
File "/home/ahe/.local/lib/python3.10/site-packages/cupy/__init__.py", line 17, in <module>
from cupy import _core # NOQA
File "/home/ahe/.local/lib/python3.10/site-packages/cupy/_core/__init__.py", line 3, in <module>
from cupy._core import core # NOQA
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/ahe/.local/lib/python3.10/site-packages/cuml/__init__.py", line 17, in <module>
from cuml.internals.base import Base, UniversalBase
File "/home/ahe/.local/lib/python3.10/site-packages/cuml/internals/__init__.py", line 17, in <module>
from cuml.internals.base_helpers import (
File "/home/ahe/.local/lib/python3.10/site-packages/cuml/internals/base_helpers.py", line 20, in <module>
from cuml.internals.api_decorators import (
File "/home/ahe/.local/lib/python3.10/site-packages/cuml/internals/api_decorators.py", line 24, in <module>
from cuml.internals import input_utils as iu
File "/home/ahe/.local/lib/python3.10/site-packages/cuml/internals/input_utils.py", line 19, in <module>
from cuml.internals.array import CumlArray
File "/home/ahe/.local/lib/python3.10/site-packages/cuml/internals/array.py", line 22, in <module>
from cuml.internals.global_settings import GlobalSettings
File "/home/ahe/.local/lib/python3.10/site-packages/cuml/internals/global_settings.py", line 20, in <module>
from cuml.internals.device_type import DeviceType
File "/home/ahe/.local/lib/python3.10/site-packages/cuml/internals/device_type.py", line 19, in <module>
from cuml.internals.mem_type import MemoryType
File "/home/ahe/.local/lib/python3.10/site-packages/cuml/internals/mem_type.py", line 25, in <module>
cudf = gpu_only_import('cudf')
File "/home/ahe/.local/lib/python3.10/site-packages/cuml/internals/safe_imports.py", line 366, in gpu_only_import
return importlib.import_module(module)
File "/home/ahe/anaconda3/envs/rapids-23.02/lib/python3.10/importlib/__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/home/ahe/anaconda3/envs/rapids-23.02/lib/python3.10/site-packages/cudf/__init__.py", line 7, in <module>
import cupy
File "/home/ahe/.local/lib/python3.10/site-packages/cupy/__init__.py", line 19, in <module>
raise ImportError(f'''
ImportError:
================================================================
Failed to import CuPy.
If you installed CuPy via wheels (cupy-cudaXXX or cupy-rocm-X-X), make sure that the package matches with the version of CUDA or ROCm installed.
On Linux, you may need to set LD_LIBRARY_PATH environment variable depending on how you installed CUDA/ROCm.
On Windows, try setting CUDA_PATH environment variable.
Check the Installation Guide for details:
https://docs.cupy.dev/en/latest/install.html
Original error:
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
================================================================
In the next step I completely uninstalled CUDA/Cupy and re-installed everything from scratch, conda create -n rapids-23.02 -c rapidsai -c conda-forge -c nvidia rapids=23.02 python=3.10 cudatoolkit=11.8
After that I activated the venv rapids-23.02
, and started the python CLI. The final result was the same
The packages installed in the rapids-23.02 environment:
Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
aiohttp 3.8.4 py310h1fa729e_0 conda-forge
aiosignal 1.3.1 pyhd8ed1ab_0 conda-forge
anyio 3.6.2 pyhd8ed1ab_0 conda-forge
aom 3.5.0 h27087fc_0 conda-forge
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge
argon2-cffi-bindings 21.2.0 py310h5764c6d_3 conda-forge
arrow-cpp 10.0.1 ha770c72_17_cpu conda-forge
asttokens 2.2.1 pyhd8ed1ab_0 conda-forge
async-timeout 4.0.2 pyhd8ed1ab_0 conda-forge
attrs 22.2.0 pyh71513ae_0 conda-forge
aws-c-auth 0.6.26 hf365957_1 conda-forge
aws-c-cal 0.5.21 h48707d8_2 conda-forge
aws-c-common 0.8.14 h0b41bf4_0 conda-forge
aws-c-compression 0.2.16 h03acc5a_5 conda-forge
aws-c-event-stream 0.2.20 h00877a2_4 conda-forge
aws-c-http 0.7.6 hf342b9f_0 conda-forge
aws-c-io 0.13.19 h5b20300_3 conda-forge
aws-c-mqtt 0.8.6 hc4349f7_12 conda-forge
aws-c-s3 0.2.7 h909e904_1 conda-forge
aws-c-sdkutils 0.1.8 h03acc5a_0 conda-forge
aws-checksums 0.1.14 h03acc5a_5 conda-forge
aws-crt-cpp 0.19.8 hf7fbfca_12 conda-forge
aws-sdk-cpp 1.10.57 h17c43bd_8 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 pyhd8ed1ab_3 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
beautifulsoup4 4.12.2 pyha770c72_0 conda-forge
bleach 6.0.0 pyhd8ed1ab_0 conda-forge
blosc 1.21.3 hafa529b_0 conda-forge
bokeh 2.4.3 pyhd8ed1ab_3 conda-forge
boost-cpp 1.78.0 h5adbc97_2 conda-forge
branca 0.6.0 pyhd8ed1ab_0 conda-forge
brotli 1.0.9 h166bdaf_8 conda-forge
brotli-bin 1.0.9 h166bdaf_8 conda-forge
brotlipy 0.7.0 py310h5764c6d_1005 conda-forge
brunsli 0.1 h9c3ff4c_0 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.18.1 h7f98852_0 conda-forge
c-blosc2 2.8.0 hf91038e_1 conda-forge
ca-certificates 2022.12.7 ha878542_0 conda-forge
cachetools 5.3.0 pyhd8ed1ab_0 conda-forge
cairo 1.16.0 ha61ee94_1014 conda-forge
certifi 2022.12.7 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py310h255011f_3 conda-forge
cfitsio 4.2.0 hd9d235c_0 conda-forge
charls 2.3.4 h9c3ff4c_0 conda-forge
charset-normalizer 2.1.1 pyhd8ed1ab_0 conda-forge
click 8.1.3 unix_pyhd8ed1ab_2 conda-forge
click-plugins 1.1.1 py_0 conda-forge
cligj 0.7.2 pyhd8ed1ab_1 conda-forge
cloudpickle 2.2.1 pyhd8ed1ab_0 conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
colorcet 3.0.1 pyhd8ed1ab_0 conda-forge
comm 0.1.3 pyhd8ed1ab_0 conda-forge
contourpy 1.0.7 py310hdf3cbec_0 conda-forge
cryptography 40.0.1 py310h34c0648_0 conda-forge
cubinlinker 0.2.2 py310hf09951c_0 rapidsai
cucim 23.02.00 cuda_11_py310_gb8cfaa2_0 rapidsai
cuda-profiler-api 11.8.86 0 nvidia
cuda-python 11.8.1 py310h01a121a_2 conda-forge
cudatoolkit 11.8.0 h37601d7_11 conda-forge
cudf 23.02.00 cuda_11_py310_g5ad4a85b9d_0 rapidsai
cudf_kafka 23.02.00 py310_g5ad4a85b9d_0 rapidsai
cugraph 23.02.00 cuda11_py310_g450c25b8_0 rapidsai
cuml 23.02.00 cuda11_py310_g3356f05bd_0 rapidsai
cupy 11.6.0 py310h9216885_0 conda-forge
curl 7.88.1 hdc1c0ab_1 conda-forge
cusignal 23.02.00 py310_g659a6fa_0 rapidsai
cuspatial 23.02.00 py310_g6fe3841_0 rapidsai
custreamz 23.02.00 py310_g5ad4a85b9d_0 rapidsai
cuxfilter 23.02.00 py310_ge1d1326_0 rapidsai
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
cyrus-sasl 2.1.27 h9033bb2_6 conda-forge
cytoolz 0.12.0 py310h5764c6d_1 conda-forge
dask 2023.1.1 pyhd8ed1ab_0 conda-forge
dask-core 2023.1.1 pyhd8ed1ab_0 conda-forge
dask-cuda 23.02.01 py310_g2c50668_0 rapidsai
dask-cudf 23.02.00 cuda_11_py310_g5ad4a85b9d_0 rapidsai
datashader 0.13.1a py_0 rapidsai
datashape 0.5.4 py_1 conda-forge
dav1d 1.0.0 h166bdaf_1 conda-forge
debugpy 1.6.7 py310heca2aa9_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
distributed 2023.1.1 pyhd8ed1ab_0 conda-forge
dlpack 0.5 h9c3ff4c_0 conda-forge
entrypoints 0.4 pyhd8ed1ab_0 conda-forge
executing 1.2.0 pyhd8ed1ab_0 conda-forge
expat 2.5.0 hcb278e6_1 conda-forge
faiss-proc 1.0.0 cuda rapidsai
fastavro 1.7.3 py310h1fa729e_0 conda-forge
fastrlock 0.8 py310hd8f1fbe_3 conda-forge
fiona 1.8.22 py310h60a68a4_2 conda-forge
flit-core 3.8.0 pyhd8ed1ab_0 conda-forge
folium 0.14.0 pyhd8ed1ab_0 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.2 h14ed4e7_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.39.3 py310h1fa729e_0 conda-forge
freetype 2.12.1 hca18f0e_1 conda-forge
freexl 1.0.6 h166bdaf_1 conda-forge
frozenlist 1.3.3 py310h5764c6d_0 conda-forge
fsspec 2023.4.0 pyh1a96a4e_0 conda-forge
gdal 3.5.3 py310hc1b7723_11 conda-forge
geopandas 0.12.2 pyhd8ed1ab_0 conda-forge
geopandas-base 0.12.2 pyha770c72_0 conda-forge
geos 3.11.1 h27087fc_0 conda-forge
geotiff 1.7.1 h7157cca_5 conda-forge
gettext 0.21.1 h27087fc_0 conda-forge
gflags 2.2.2 he1b5a44_1004 conda-forge
giflib 5.2.1 h0b41bf4_3 conda-forge
glog 0.6.0 h6f12383_0 conda-forge
hdf4 4.2.15 h9772cbc_5 conda-forge
hdf5 1.12.2 nompi_h4df4325_101 conda-forge
heapdict 1.0.1 py_0 conda-forge
holoviews 1.15.3 pyhd8ed1ab_0 conda-forge
icu 70.1 h27087fc_0 conda-forge
idna 3.4 pyhd8ed1ab_0 conda-forge
imagecodecs 2022.12.24 py310h17758e3_0 conda-forge
imageio 2.27.0 pyh24c5eb1_0 conda-forge
importlib-metadata 6.3.0 pyha770c72_0 conda-forge
importlib_metadata 6.3.0 hd8ed1ab_0 conda-forge
importlib_resources 5.12.0 pyhd8ed1ab_0 conda-forge
ipykernel 6.22.0 pyh210e3f2_0 conda-forge
ipython 8.12.0 pyh41d4057_0 conda-forge
ipywidgets 8.0.6 pyhd8ed1ab_0 conda-forge
jbig 2.1 h7f98852_2003 conda-forge
jedi 0.18.2 pyhd8ed1ab_0 conda-forge
jinja2 3.1.2 pyhd8ed1ab_1 conda-forge
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h0b41bf4_3 conda-forge
json-c 0.16 hc379101_0 conda-forge
jsonschema 4.17.3 pyhd8ed1ab_0 conda-forge
jupyter-server-proxy 3.2.2 pyhd8ed1ab_0 conda-forge
jupyter_client 8.1.0 pyhd8ed1ab_0 conda-forge
jupyter_core 5.3.0 py310hff52083_0 conda-forge
jupyter_events 0.6.3 pyhd8ed1ab_0 conda-forge
jupyter_server 2.5.0 pyhd8ed1ab_0 conda-forge
jupyter_server_terminals 0.4.4 pyhd8ed1ab_1 conda-forge
jupyterlab_pygments 0.2.2 pyhd8ed1ab_0 conda-forge
jupyterlab_widgets 3.0.7 pyhd8ed1ab_0 conda-forge
jxrlib 1.1 h7f98852_2 conda-forge
kealib 1.5.0 ha7026e8_0 conda-forge
keyutils 1.6.1 h166bdaf_0 conda-forge
kiwisolver 1.4.4 py310hbf28c38_1 conda-forge
krb5 1.20.1 h81ceb04_0 conda-forge
lcms2 2.15 hfd0df8a_0 conda-forge
ld_impl_linux-64 2.40 h41732ed_0 conda-forge
lerc 4.0.0 h27087fc_0 conda-forge
libabseil 20230125.0 cxx17_hcb278e6_1 conda-forge
libaec 1.0.6 hcb278e6_1 conda-forge
libarrow 10.0.1 h51ec05e_17_cpu conda-forge
libavif 0.11.1 h5cdd6b5_0 conda-forge
libblas 3.9.0 16_linux64_openblas conda-forge
libbrotlicommon 1.0.9 h166bdaf_8 conda-forge
libbrotlidec 1.0.9 h166bdaf_8 conda-forge
libbrotlienc 1.0.9 h166bdaf_8 conda-forge
libcblas 3.9.0 16_linux64_openblas conda-forge
libcrc32c 1.1.2 h9c3ff4c_0 conda-forge
libcublas 11.11.3.6 0 nvidia
libcublas-dev 11.11.3.6 0 nvidia
libcucim 23.02.00 cuda11_gb8cfaa2_0 rapidsai
libcudf 23.02.00 cuda11_g5ad4a85b9d_0 rapidsai
libcudf_kafka 23.02.00 g5ad4a85b9d_0 rapidsai
libcufft 10.9.0.58 0 nvidia
libcugraph 23.02.00 cuda11_g450c25b8_0 rapidsai
libcugraph_etl 23.02.00 cuda11_g450c25b8_0 rapidsai
libcugraphops 23.02.01 cuda11_g505ea813_0 nvidia
libcuml 23.02.00 cuda11_g3356f05bd_0 rapidsai
libcumlprims 23.02.00 cuda11_g0c4a914_0 nvidia
libcurand 10.3.0.86 0 nvidia
libcurand-dev 10.3.0.86 0 nvidia
libcurl 7.88.1 hdc1c0ab_1 conda-forge
libcusolver 11.4.1.48 0 nvidia
libcusolver-dev 11.4.1.48 0 nvidia
libcusparse 11.7.5.86 0 nvidia
libcusparse-dev 11.7.5.86 0 nvidia
libcuspatial 23.02.00 cuda11_g6fe3841_0 rapidsai
libdap4 3.20.6 hd7c4107_2 conda-forge
libdeflate 1.14 h166bdaf_0 conda-forge
libedit 3.1.20191231 he28a2e2_2 conda-forge
libev 4.33 h516909a_1 conda-forge
libevent 2.1.10 h28343ad_4 conda-forge
libexpat 2.5.0 hcb278e6_1 conda-forge
libfaiss 1.7.2 cuda118h2d43ea4_4_cuda rapidsai
libffi 3.4.2 h7f98852_5 conda-forge
libgcc-ng 12.2.0 h65d4601_19 conda-forge
libgcrypt 1.10.1 h166bdaf_0 conda-forge
libgdal 3.5.3 h05f8703_11 conda-forge
libgfortran-ng 12.2.0 h69a702a_19 conda-forge
libgfortran5 12.2.0 h337968e_19 conda-forge
libglib 2.74.1 h606061b_1 conda-forge
libgomp 12.2.0 h65d4601_19 conda-forge
libgoogle-cloud 2.8.0 h0bc5f78_1 conda-forge
libgpg-error 1.46 h620e276_0 conda-forge
libgrpc 1.52.1 hcf146ea_1 conda-forge
libgsasl 1.8.0 2 conda-forge
libiconv 1.17 h166bdaf_0 conda-forge
libkml 1.3.0 h37653c0_1015 conda-forge
liblapack 3.9.0 16_linux64_openblas conda-forge
libllvm11 11.1.0 he0ac6c6_5 conda-forge
libnetcdf 4.8.1 nompi_h261ec11_106 conda-forge
libnghttp2 1.52.0 h61bc06f_0 conda-forge
libnsl 2.0.0 h7f98852_0 conda-forge
libntlm 1.4 h7f98852_1002 conda-forge
libopenblas 0.3.21 pthreads_h78a6416_3 conda-forge
libpng 1.6.39 h753d276_0 conda-forge
libpq 15.2 hb675445_0 conda-forge
libprotobuf 3.21.12 h3eb15da_0 conda-forge
libraft-distance 23.02.00 cuda11_g69dce2d4_0 rapidsai
libraft-headers 23.02.00 cuda11_g69dce2d4_0 rapidsai
libraft-nn 23.02.00 cuda11_g69dce2d4_0 rapidsai
librdkafka 1.7.0 hb1989a6_1 conda-forge
librmm 23.02.00 cuda11_g48e8f2a8_0 rapidsai
librttopo 1.1.0 ha49c73b_12 conda-forge
libsodium 1.0.18 h36c2ea0_1 conda-forge
libspatialindex 1.9.3 h9c3ff4c_4 conda-forge
libspatialite 5.0.1 h7c8129e_22 conda-forge
libsqlite 3.40.0 h753d276_0 conda-forge
libssh2 1.10.0 hf14f497_3 conda-forge
libstdcxx-ng 12.2.0 h46fd767_19 conda-forge
libthrift 0.18.1 h5e4af38_0 conda-forge
libtiff 4.5.0 h82bc61c_0 conda-forge
libutf8proc 2.8.0 h166bdaf_0 conda-forge
libuuid 2.38.1 h0b41bf4_0 conda-forge
libuv 1.44.2 h166bdaf_0 conda-forge
libwebp 1.2.4 h1daa5a0_1 conda-forge
libwebp-base 1.2.4 h166bdaf_0 conda-forge
libxcb 1.13 h7f98852_1004 conda-forge
libxgboost 1.7.1dev.rapidsai23.02 cuda_11_2 rapidsai
libxml2 2.10.3 hca2bb57_4 conda-forge
libzip 1.9.2 hc929e4a_1 conda-forge
libzlib 1.2.13 h166bdaf_4 conda-forge
libzopfli 1.0.3 h9c3ff4c_0 conda-forge
llvmlite 0.39.1 py310h58363a5_1 conda-forge
locket 1.0.0 pyhd8ed1ab_0 conda-forge
lz4 4.3.2 py310h0cfdcf0_0 conda-forge
lz4-c 1.9.3 h9c3ff4c_1 conda-forge
mapclassify 2.5.0 pyhd8ed1ab_1 conda-forge
markdown 3.4.3 pyhd8ed1ab_0 conda-forge
markupsafe 2.1.2 py310h1fa729e_0 conda-forge
matplotlib-base 3.7.1 py310he60537e_0 conda-forge
matplotlib-inline 0.1.6 pyhd8ed1ab_0 conda-forge
mistune 2.0.5 pyhd8ed1ab_0 conda-forge
msgpack-python 1.0.5 py310hdf3cbec_0 conda-forge
multidict 6.0.4 py310h1fa729e_0 conda-forge
multipledispatch 0.6.0 py_0 conda-forge
munch 2.5.0 py_0 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
nbclient 0.7.3 pyhd8ed1ab_0 conda-forge
nbconvert-core 7.3.1 pyhd8ed1ab_0 conda-forge
nbformat 5.8.0 pyhd8ed1ab_0 conda-forge
nccl 2.14.3.1 h0800d71_0 conda-forge
ncurses 6.3 h27087fc_1 conda-forge
nest-asyncio 1.5.6 pyhd8ed1ab_0 conda-forge
networkx 3.1 pyhd8ed1ab_0 conda-forge
nodejs 18.15.0 h8d033a5_0 conda-forge
nspr 4.35 h27087fc_0 conda-forge
nss 3.89 he45b914_0 conda-forge
numba 0.56.4 py310h0e39c9b_1 conda-forge
numpy 1.23.5 py310h53a5b5f_0 conda-forge
nvtx 0.2.3 py310h5764c6d_2 conda-forge
openjpeg 2.5.0 hfec8fc6_2 conda-forge
openssl 3.1.0 h0b41bf4_0 conda-forge
orc 1.8.3 hfdbbad2_0 conda-forge
packaging 23.0 pyhd8ed1ab_0 conda-forge
pandas 1.5.3 py310h9b08913_1 conda-forge
pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge
panel 0.14.1 pyhd8ed1ab_0 conda-forge
param 1.13.0 pyh1a96a4e_0 conda-forge
parquet-cpp 1.5.1 2 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
partd 1.3.0 pyhd8ed1ab_0 conda-forge
pcre2 10.40 hc3806b6_0 conda-forge
pexpect 4.8.0 pyh1a96a4e_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 9.4.0 py310h023d228_1 conda-forge
pip 23.0.1 pyhd8ed1ab_0 conda-forge
pixman 0.40.0 h36c2ea0_0 conda-forge
pkgutil-resolve-name 1.3.10 pyhd8ed1ab_0 conda-forge
platformdirs 3.2.0 pyhd8ed1ab_0 conda-forge
pooch 1.7.0 pyha770c72_3 conda-forge
poppler 22.12.0 h091648b_1 conda-forge
poppler-data 0.4.12 hd8ed1ab_0 conda-forge
postgresql 15.2 h3248436_0 conda-forge
proj 9.1.0 h8ffa02c_1 conda-forge
prometheus_client 0.16.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.38 pyha770c72_0 conda-forge
prompt_toolkit 3.0.38 hd8ed1ab_0 conda-forge
protobuf 4.21.12 py310heca2aa9_0 conda-forge
psutil 5.9.4 py310h5764c6d_0 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptxcompiler 0.7.0 py310h01a121a_3 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
py-xgboost 1.7.1dev.rapidsai23.02 cuda_11_py310_2 rapidsai
pyarrow 10.0.1 py310h633f555_17_cpu conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pyct 0.4.6 py_0 conda-forge
pyct-core 0.4.6 py_0 conda-forge
pydeck 0.5.0 pyh9f0ad1d_0 conda-forge
pyee 8.1.0 pyhd8ed1ab_0 conda-forge
pygments 2.15.0 pyhd8ed1ab_0 conda-forge
pylibcugraph 23.02.00 cuda11_py310_g450c25b8_0 rapidsai
pylibraft 23.02.00 cuda11_py310_g69dce2d4_0 rapidsai
pynvml 11.4.1 pyhd8ed1ab_0 conda-forge
pyopenssl 23.1.1 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
pyppeteer 1.0.2 pyhd8ed1ab_0 conda-forge
pyproj 3.4.0 py310hb1338dc_2 conda-forge
pyrsistent 0.19.3 py310h1fa729e_0 conda-forge
pysocks 1.7.1 pyha2e5f31_6 conda-forge
python 3.10.10 he550d4f_0_cpython conda-forge
python-confluent-kafka 1.7.0 py310h6acc77f_2 conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-fastjsonschema 2.16.3 pyhd8ed1ab_0 conda-forge
python-json-logger 2.0.7 pyhd8ed1ab_0 conda-forge
python_abi 3.10 3_cp310 conda-forge
pytz 2023.3 pyhd8ed1ab_0 conda-forge
pyviz_comms 2.2.1 pyhd8ed1ab_1 conda-forge
pywavelets 1.4.1 py310h0a54255_0 conda-forge
pyyaml 6.0 py310h5764c6d_5 conda-forge
pyzmq 25.0.2 py310h059b190_0 conda-forge
raft-dask 23.02.00 cuda11_py310_g69dce2d4_0 rapidsai
rapids 23.02.00 cuda11_py310_g87dd3f4_144 rapidsai
rapids-xgboost 23.02.00 cuda11_py310_g87dd3f4_144 rapidsai
re2 2023.02.02 hcb278e6_0 conda-forge
readline 8.2 h8228510_1 conda-forge
requests 2.28.2 pyhd8ed1ab_1 conda-forge
rfc3339-validator 0.1.4 pyhd8ed1ab_0 conda-forge
rfc3986-validator 0.1.1 pyh9f0ad1d_0 conda-forge
rmm 23.02.00 cuda11_py310_g48e8f2a8_0 rapidsai
rtree 1.0.1 py310hbdcdc62_1 conda-forge
s2n 1.3.41 h3358134_0 conda-forge
scikit-image 0.19.3 py310h769672d_2 conda-forge
scikit-learn 1.2.2 py310h41b6a48_1 conda-forge
scipy 1.10.1 py310h8deb116_0 conda-forge
send2trash 1.8.0 pyhd8ed1ab_0 conda-forge
setuptools 67.6.1 pyhd8ed1ab_0 conda-forge
shapely 2.0.1 py310h8b84c32_0 conda-forge
simpervisor 0.4 pyhd8ed1ab_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
snappy 1.1.10 h9fff704_0 conda-forge
sniffio 1.3.0 pyhd8ed1ab_0 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
soupsieve 2.3.2.post1 pyhd8ed1ab_0 conda-forge
spdlog 1.8.5 h4bd325d_1 conda-forge
sqlite 3.40.0 h4ff8645_0 conda-forge
stack_data 0.6.2 pyhd8ed1ab_0 conda-forge
streamz 0.6.4 pyh6c4a22f_0 conda-forge
tblib 1.7.0 pyhd8ed1ab_0 conda-forge
terminado 0.17.1 pyh41d4057_0 conda-forge
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tifffile 2022.10.10 pyhd8ed1ab_0 conda-forge
tiledb 2.13.2 hd532e3d_0 conda-forge
tinycss2 1.2.1 pyhd8ed1ab_0 conda-forge
tk 8.6.12 h27826a3_0 conda-forge
toolz 0.12.0 pyhd8ed1ab_0 conda-forge
tornado 6.2 py310h5764c6d_1 conda-forge
tqdm 4.65.0 pyhd8ed1ab_1 conda-forge
traitlets 5.9.0 pyhd8ed1ab_0 conda-forge
treelite 3.1.0 py310h168469b_0 conda-forge
treelite-runtime 3.1.0 pypi_0 pypi
typing-extensions 4.5.0 hd8ed1ab_0 conda-forge
typing_extensions 4.5.0 pyha770c72_0 conda-forge
tzcode 2023c h0b41bf4_0 conda-forge
tzdata 2023c h71feb2d_0 conda-forge
ucx 1.13.1 h538f049_1 conda-forge
ucx-proc 1.0.0 gpu rapidsai
ucx-py 0.30.00 py310_gc2651fc_0 rapidsai
unicodedata2 15.0.0 py310h5764c6d_0 conda-forge
urllib3 1.26.15 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.6 pyhd8ed1ab_0 conda-forge
webencodings 0.5.1 py_1 conda-forge
websocket-client 1.5.1 pyhd8ed1ab_0 conda-forge
websockets 10.4 py310h5764c6d_1 conda-forge
wheel 0.40.0 pyhd8ed1ab_0 conda-forge
widgetsnbextension 4.0.7 pyhd8ed1ab_0 conda-forge
xarray 2023.3.0 pyhd8ed1ab_0 conda-forge
xerces-c 3.2.4 h55805fa_1 conda-forge
xgboost 1.7.1dev.rapidsai23.02 cuda_11_py310_2 rapidsai
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.0.10 h7f98852_0 conda-forge
xorg-libsm 1.2.3 hd9c2040_1000 conda-forge
xorg-libx11 1.8.4 h0b41bf4_0 conda-forge
xorg-libxau 1.0.9 h7f98852_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xorg-libxext 1.3.4 h0b41bf4_2 conda-forge
xorg-libxrender 0.9.10 h7f98852_1003 conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 conda-forge
xorg-xextproto 7.3.0 h0b41bf4_1003 conda-forge
xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xyzservices 2023.2.0 pyhd8ed1ab_0 conda-forge
xz 5.2.6 h166bdaf_0 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
yarl 1.8.2 py310h5764c6d_0 conda-forge
zeromq 4.3.4 h9c3ff4c_1 conda-forge
zfp 1.0.0 h27087fc_3 conda-forge
zict 2.2.0 pyhd8ed1ab_0 conda-forge
zipp 3.15.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 h166bdaf_4 conda-forge
zlib-ng 2.0.7 h0b41bf4_0 conda-forge
zstd 1.5.2 h3eb15da_6 conda-forge
@aph61 I came across the similar error in notebook. Did you resolve this by any chance?
I came across the same error in jupyter lab, using the official rapdids environment....
Describe the bug Hi,
I've problems using CUDA in my code. I tried to install CUDA11.8 with the command
conda create -n rapids-23.02 -c rapidsai -c conda-forge -c nvidia rapids=23.02 python=3.10 cudatoolkit=11.8
Installation was as expected. I tried to import it into Jupyter Notebook with
in a virtual environment. That did not work, the failure was
ModuleNotFoundError: No module named 'cudf'
(see the full dump below)Environment details (please complete the following information):
Software
conda list
Full dump