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rapidsai / cuml

cuML - RAPIDS Machine Learning Library
https://docs.rapids.ai/api/cuml/stable/
Apache License 2.0
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Trouble installing cuml. Is it compatible with cuda 11.3? #5267

Open rpeys opened 1 year ago

rpeys commented 1 year ago

I tried to install cuml using conda, but received an error. I am in a conda environment with cuda = 11.3 and glibc = 2.31. Any help diagnosing the problem would be appreciated. Is cuml compatible with cuda 11.3? It is hard for me to tell from the documentation. Thanks!

Here is the command I ran from a jupyter notebook, to conda install cuml:

import sys
!conda install --yes --prefix {sys.prefix} -c rapidsai cuml

Here is the output, including the error:

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 system:

  - feature:/linux-64::__glibc==2.31=0
  - cuml -> __glibc[version='>=2.17,<3.0.a0']
  - cuml -> cuda-python[version='>=11.7.1,<12'] -> __glibc[version='>=2.17']
  - python=3.8 -> libgcc-ng[version='>=10.3.0'] -> __glibc[version='>=2.17']

Your installed version is: 2.31

Note that strict channel priority may have removed packages required for satisfiability.

Here is a full description of the packages in my conda env:

# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                 conda_forge    conda-forge
_openmp_mutex             4.5                       2_gnu    conda-forge
absl-py                   1.3.0                    pypi_0    pypi
addict                    2.4.0                    pypi_0    pypi
anndata                   0.8.0                    pypi_0    pypi
asttokens                 2.2.1              pyhd8ed1ab_0    conda-forge
attrs                     22.2.0                   pypi_0    pypi
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
bzip2                     1.0.8                h7f98852_4    conda-forge
ca-certificates           2022.12.7            ha878542_0    conda-forge
cachetools                4.2.4                    pypi_0    pypi
certifi                   2022.12.7                pypi_0    pypi
chardet                   3.0.4                    pypi_0    pypi
charset-normalizer        2.1.1                    pypi_0    pypi
click                     8.1.3                    pypi_0    pypi
comm                      0.1.2              pyhd8ed1ab_0    conda-forge
configargparse            1.5.3                    pypi_0    pypi
contourpy                 1.0.6                    pypi_0    pypi
cycler                    0.11.0                   pypi_0    pypi
cython                    0.29.21                  pypi_0    pypi
dash                      2.8.1                    pypi_0    pypi
dash-core-components      2.0.0                    pypi_0    pypi
dash-html-components      2.0.0                    pypi_0    pypi
dash-table                5.0.0                    pypi_0    pypi
debugpy                   1.6.5            py38h8dc9893_0    conda-forge
decorator                 5.1.1              pyhd8ed1ab_0    conda-forge
deepspeed                 0.3.13                   pypi_0    pypi
entrypoints               0.4                pyhd8ed1ab_0    conda-forge
executing                 1.2.0              pyhd8ed1ab_0    conda-forge
fastjsonschema            2.16.2                   pypi_0    pypi
flask                     2.2.2                    pypi_0    pypi
fonttools                 4.38.0                   pypi_0    pypi
future                    0.18.2                   pypi_0    pypi
google-auth               1.35.0                   pypi_0    pypi
google-auth-oauthlib      0.4.6                    pypi_0    pypi
grpcio                    1.51.1                   pypi_0    pypi
h5py                      3.7.0                    pypi_0    pypi
idna                      2.10                     pypi_0    pypi
imageio                   2.9.0                    pypi_0    pypi
imgaug                    0.4.0                    pypi_0    pypi
importlib-metadata        6.0.0                    pypi_0    pypi
importlib-resources       5.10.2                   pypi_0    pypi
ipykernel                 6.20.1             pyh210e3f2_0    conda-forge
ipython                   8.8.0              pyh41d4057_0    conda-forge
ipywidgets                8.0.4                    pypi_0    pypi
itsdangerous              2.1.2                    pypi_0    pypi
jedi                      0.18.2             pyhd8ed1ab_0    conda-forge
jinja2                    3.1.2                    pypi_0    pypi
joblib                    1.2.0                    pypi_0    pypi
jsonschema                4.17.3                   pypi_0    pypi
jupyter_client            7.4.9              pyhd8ed1ab_0    conda-forge
jupyter_core              5.1.3            py38h578d9bd_0    conda-forge
jupyterlab-widgets        3.0.5                    pypi_0    pypi
kiwisolver                1.4.4                    pypi_0    pypi
ld_impl_linux-64          2.39                 hcc3a1bd_1    conda-forge
libffi                    3.4.2                h7f98852_5    conda-forge
libgcc-ng                 12.2.0              h65d4601_19    conda-forge
libgomp                   12.2.0              h65d4601_19    conda-forge
libnsl                    2.0.0                h7f98852_0    conda-forge
libsodium                 1.0.18               h36c2ea0_1    conda-forge
libsqlite                 3.40.0               h753d276_0    conda-forge
libstdcxx-ng              12.2.0              h46fd767_19    conda-forge
libuuid                   2.32.1            h7f98852_1000    conda-forge
libzlib                   1.2.13               h166bdaf_4    conda-forge
llvmlite                  0.39.1                   pypi_0    pypi
markdown                  3.4.1                    pypi_0    pypi
markupsafe                2.1.1                    pypi_0    pypi
matplotlib                3.6.2                    pypi_0    pypi
matplotlib-inline         0.1.6              pyhd8ed1ab_0    conda-forge
natsort                   8.2.0                    pypi_0    pypi
nbformat                  5.5.0                    pypi_0    pypi
ncurses                   6.3                  h27087fc_1    conda-forge
nest-asyncio              1.5.6              pyhd8ed1ab_0    conda-forge
networkx                  2.8.8                    pypi_0    pypi
ninja                     1.10.0.post2             pypi_0    pypi
numba                     0.56.4                   pypi_0    pypi
numpy                     1.23.5                   pypi_0    pypi
oauthlib                  3.2.2                    pypi_0    pypi
open3d                    0.16.0                   pypi_0    pypi
opencv-python             4.3.0.36                 pypi_0    pypi
openssl                   3.0.7                h0b41bf4_1    conda-forge
ordered-set               4.0.2                    pypi_0    pypi
packaging                 22.0                     pypi_0    pypi
pandas                    1.5.2                    pypi_0    pypi
parso                     0.8.3              pyhd8ed1ab_0    conda-forge
patsy                     0.5.3                    pypi_0    pypi
pexpect                   4.8.0              pyh1a96a4e_2    conda-forge
pickleshare               0.7.5                   py_1003    conda-forge
pillow                    9.4.0                    pypi_0    pypi
pip                       22.3.1             pyhd8ed1ab_0    conda-forge
pkgutil-resolve-name      1.3.10                   pypi_0    pypi
platformdirs              2.6.2              pyhd8ed1ab_0    conda-forge
plotly                    5.13.0                   pypi_0    pypi
prompt-toolkit            3.0.36             pyha770c72_0    conda-forge
protobuf                  3.20.3                   pypi_0    pypi
psutil                    5.9.4            py38h0a891b7_0    conda-forge
ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
pure_eval                 0.2.2              pyhd8ed1ab_0    conda-forge
pyasn1                    0.4.8                    pypi_0    pypi
pyasn1-modules            0.2.8                    pypi_0    pypi
pygments                  2.14.0             pyhd8ed1ab_0    conda-forge
pynndescent               0.5.8                    pypi_0    pypi
pyparsing                 3.0.9                    pypi_0    pypi
pyquaternion              0.9.9                    pypi_0    pypi
pyrsistent                0.19.3                   pypi_0    pypi
python                    3.8.15          h4a9ceb5_0_cpython    conda-forge
python-dateutil           2.8.2              pyhd8ed1ab_0    conda-forge
python_abi                3.8                      3_cp38    conda-forge
pytz                      2022.7                   pypi_0    pypi
pywavelets                1.4.1                    pypi_0    pypi
pyyaml                    6.0                      pypi_0    pypi
pyzmq                     25.0.0           py38he24dcef_0    conda-forge
readline                  8.1.2                h0f457ee_0    conda-forge
requests                  2.23.0                   pypi_0    pypi
requests-oauthlib         1.3.0                    pypi_0    pypi
rsa                       4.9                      pypi_0    pypi
scanpy                    1.9.2                    pypi_0    pypi
scikit-image              0.17.2                   pypi_0    pypi
scikit-learn              0.23.2                   pypi_0    pypi
scipy                     1.10.0                   pypi_0    pypi
seaborn                   0.12.2                   pypi_0    pypi
session-info              1.0.0                    pypi_0    pypi
setuptools                65.6.3             pyhd8ed1ab_0    conda-forge
shapely                   2.0.0                    pypi_0    pypi
six                       1.14.0                   pypi_0    pypi
stack_data                0.6.2              pyhd8ed1ab_0    conda-forge
statsmodels               0.13.5                   pypi_0    pypi
stdlib-list               0.8.0                    pypi_0    pypi
tenacity                  8.1.0                    pypi_0    pypi
tensorboard               2.11.2                   pypi_0    pypi
tensorboard-data-server   0.6.1                    pypi_0    pypi
tensorboard-plugin-wit    1.8.1                    pypi_0    pypi
tensorboardx              1.8                      pypi_0    pypi
threadpoolctl             3.1.0                    pypi_0    pypi
tifffile                  2022.10.10               pypi_0    pypi
tk                        8.6.12               h27826a3_0    conda-forge
torch                     1.12.1+cu113             pypi_0    pypi
torchaudio                0.12.1+cu113             pypi_0    pypi
torchvision               0.13.1+cu113             pypi_0    pypi
tornado                   6.2              py38h0a891b7_1    conda-forge
tqdm                      4.43.0                   pypi_0    pypi
traitlets                 5.8.1              pyhd8ed1ab_0    conda-forge
typing-extensions         4.4.0                hd8ed1ab_0    conda-forge
typing_extensions         4.4.0              pyha770c72_0    conda-forge
umap-learn                0.5.3                    pypi_0    pypi
urllib3                   1.25.8                   pypi_0    pypi
wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
werkzeug                  2.2.2                    pypi_0    pypi
wheel                     0.38.4             pyhd8ed1ab_0    conda-forge
widgetsnbextension        4.0.5                    pypi_0    pypi
xz                        5.2.6                h166bdaf_0    conda-forge
zeromq                    4.3.4                h9c3ff4c_1    conda-forge
zipp                      3.11.0                   pypi_0    pypi
rpeys commented 1 year ago

As an update, I got the same error working in a fresh env that I created in the following way conda create -n cuml-scanpy -c rapidsai -c nvidia -c pytorch -c conda-forge scanpy[rapids] cudatoolkit=11.3 pytorch torchvision torchaudio.

I tried to run conda install -c rapidsai cuml and got

(cuml-scanpy) rpeyser@hera:~$ conda install -c rapidsai cuml
Retrieving notices: ...working... done
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.                                                                                                                                                                 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:

  - feature:/linux-64::__glibc==2.31=0
  - cuml -> __glibc[version='>=2.17,<3.0.a0']
  - cuml -> cuda-python[version='>=11.7.1,<12'] -> __glibc[version='>=2.17']
  - python=3.10 -> libgcc-ng[version='>=10.3.0'] -> __glibc[version='>=2.17']

Your installed version is: 2.31

Note that strict channel priority may have removed packages required for satisfiability.
beckernick commented 1 year ago

Current and recent cuML packages are compatible with CUDA 11.3.

I'm able to get conda/mamba to solve your environment creation command (with cuML included) on my system. Can you provide more information about your system? If you clone this repository and run print_env.sh, we may be able to provide more relevant suggestions.

With that said, I'm not sure if there's a scanpy[rapids] conda package. If this line is still current and consistent with any conda packages, it looks like it would be using a very old version of RAPIDS packages.

rpeys commented 1 year ago

Thanks! You're right, scanpy does seem to use an outdated version of RAPIDS. I'll focus on installing RAPIDS standalone, in that case, which I'm still having trouble with. Here is the output of running print_env.sh

Click here to see environment details

     **git***
     commit 1181dba55c5e76a36905fa5a7f85bd128bbe37bd (HEAD -> branch-23.04, origin/branch-23.04, origin/HEAD)
     Author: Corey J. Nolet 
     Date:   Fri Mar 10 18:39:47 2023 -0500

     Removing remaining include of `raft/distance/distance_type.hpp` (#5264)

     Authors:
     - Corey J. Nolet (https://github.com/cjnolet)

     Approvers:
     - Divye Gala (https://github.com/divyegala)
     - Dante Gama Dessavre (https://github.com/dantegd)

     URL: https://github.com/rapidsai/cuml/pull/5264
     **git submodules***

     ***OS Information***
     DISTRIB_ID=Ubuntu
     DISTRIB_RELEASE=20.04
     DISTRIB_CODENAME=focal
     DISTRIB_DESCRIPTION="Ubuntu 20.04.3 LTS"
     NAME="Ubuntu"
     VERSION="20.04.3 LTS (Focal Fossa)"
     ID=ubuntu
     ID_LIKE=debian
     PRETTY_NAME="Ubuntu 20.04.3 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
     Linux hera 5.4.0-110-generic #124-Ubuntu SMP Thu Apr 14 19:46:19 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux

     ***GPU Information***
     Mon Mar 13 17:07:58 2023
     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 470.161.03   Driver Version: 470.161.03   CUDA Version: 11.4     |
     |-------------------------------+----------------------+----------------------+
     | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
     | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
     |                               |                      |               MIG M. |
     |===============================+======================+======================|
     |   0  NVIDIA GeForce ...  Off  | 00000000:3B:00.0 Off |                  N/A |
     | 23%   30C    P8    15W / 250W |      2MiB / 11178MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   1  NVIDIA GeForce ...  Off  | 00000000:5E:00.0 Off |                  N/A |
     | 35%   60C    P2   121W / 250W |   9313MiB / 11178MiB |     45%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   2  NVIDIA GeForce ...  Off  | 00000000:AF:00.0 Off |                  N/A |
     | 23%   33C    P8     9W / 250W |      2MiB / 11178MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   3  NVIDIA GeForce ...  Off  | 00000000:D8:00.0 Off |                  N/A |
     | 23%   34C    P8     8W / 250W |      2MiB / 11178MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+

     +-----------------------------------------------------------------------------+
     | Processes:                                                                  |
     |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
     |        ID   ID                                                   Usage      |
     |=============================================================================|
     |    1   N/A  N/A    984349      C   python                           9311MiB |
     +-----------------------------------------------------------------------------+

     ***CPU***
     Architecture:                    x86_64
     CPU op-mode(s):                  32-bit, 64-bit
     Byte Order:                      Little Endian
     Address sizes:                   46 bits physical, 48 bits virtual
     CPU(s):                          48
     On-line CPU(s) list:             0-47
     Thread(s) per core:              2
     Core(s) per socket:              12
     Socket(s):                       2
     NUMA node(s):                    2
     Vendor ID:                       GenuineIntel
     CPU family:                      6
     Model:                           85
     Model name:                      Intel(R) Xeon(R) Gold 6126 CPU @ 2.60GHz
     Stepping:                        4
     CPU MHz:                         1000.236
     CPU max MHz:                     3700.0000
     CPU min MHz:                     1000.0000
     BogoMIPS:                        5200.00
     Virtualization:                  VT-x
     L1d cache:                       768 KiB
     L1i cache:                       768 KiB
     L2 cache:                        24 MiB
     L3 cache:                        38.5 MiB
     NUMA node0 CPU(s):               0-11,24-35
     NUMA node1 CPU(s):               12-23,36-47
     Vulnerability Itlb multihit:     KVM: Mitigation: Split huge pages
     Vulnerability L1tf:              Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable
     Vulnerability Mds:               Mitigation; Clear CPU buffers; SMT vulnerable
     Vulnerability Meltdown:          Mitigation; PTI
     Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
     Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
     Vulnerability Spectre v2:        Mitigation; Retpolines, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling
     Vulnerability Srbds:             Not affected
     Vulnerability Tsx async abort:   Mitigation; Clear CPU buffers; SMT vulnerable
     Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req pku ospke md_clear flush_l1d

     ***CMake***
     /usr/bin/cmake
     cmake version 3.16.3

     CMake suite maintained and supported by Kitware (kitware.com/cmake).

     ***g++***
     /usr/bin/g++
     g++ (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
     Copyright (C) 2019 Free Software Foundation, Inc.
     This is free software; see the source for copying conditions.  There is NO
     warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

     ***nvcc***
     /opt/conda/rpeyser/envs/cuml-scanpy/bin/nvcc
     nvcc: NVIDIA (R) Cuda compiler driver
     Copyright (c) 2005-2022 NVIDIA Corporation
     Built on Wed_Jun__8_16:49:14_PDT_2022
     Cuda compilation tools, release 11.7, V11.7.99
     Build cuda_11.7.r11.7/compiler.31442593_0

     ***Python***
     /opt/conda/rpeyser/envs/cuml-scanpy/bin/python
     Python 3.10.9

     ***Environment Variables***
     PATH                            : /usr/local/cuda-11.4/bin:/home/rpeyser/bin:/home/rpeyser/.local/bin:/home/rpeyser/google-cloud-sdk/bin:/opt/conda/rpeyser/envs/cuml-scanpy/bin:/opt/conda/rpeyser/condabin:/usr/local/cuda-11.4/bin:/usr/local/csail/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:.:/software/jdk1.8.0_191/bin:/home/rpeyser/software/hadoop-3.1.1/bin:/home/rpeyser/software/apache-hive-3.1.1-bin/bin:/software/jdk1.8.0_191/bin:/home/rpeyser/software/hadoop-3.1.1/bin:/home/rpeyser/software/apache-hive-3.1.1-bin/bin
     LD_LIBRARY_PATH                 : /usr/local/cuda-11.4/lib64:/usr/local/cuda-11.4/lib64:
     NUMBAPRO_NVVM                   :
     NUMBAPRO_LIBDEVICE              :
     CONDA_PREFIX                    : /opt/conda/rpeyser/envs/cuml-scanpy
     PYTHON_PATH                     :

     ***conda packages***
     /opt/conda/rpeyser/condabin/conda
     # packages in environment at /opt/conda/rpeyser/envs/cuml-scanpy:
     #
     # Name                    Version                   Build  Channel
     _libgcc_mutex             0.1                 conda_forge    conda-forge
     _openmp_mutex             4.5                  2_kmp_llvm    conda-forge
     anndata                   0.8.0              pyhd8ed1ab_1    conda-forge
     asttokens                 2.2.1                    pypi_0    pypi
     backcall                  0.2.0                    pypi_0    pypi
     blas                      2.116                       mkl    conda-forge
     blas-devel                3.9.0            16_linux64_mkl    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
     bzip2                     1.0.8                h7f98852_4    conda-forge
     c-ares                    1.18.1               h7f98852_0    conda-forge
     ca-certificates           2022.12.7            ha878542_0    conda-forge
     cached-property           1.5.2                hd8ed1ab_1    conda-forge
     cached_property           1.5.2              pyha770c72_1    conda-forge
     certifi                   2022.12.7          pyhd8ed1ab_0    conda-forge
     cffi                      1.15.1          py310h255011f_3    conda-forge
     charset-normalizer        2.1.1              pyhd8ed1ab_0    conda-forge
     colorama                  0.4.6              pyhd8ed1ab_0    conda-forge
     comm                      0.1.2                    pypi_0    pypi
     contourpy                 1.0.7           py310hdf3cbec_0    conda-forge
     cryptography              39.0.2          py310h34c0648_0    conda-forge
     cuda                      11.7.1                        0    nvidia
     cuda-cccl                 11.7.91                       0    nvidia
     cuda-command-line-tools   11.7.1                        0    nvidia
     cuda-compiler             11.7.1                        0    nvidia
     cuda-cudart               11.7.99                       0    nvidia
     cuda-cudart-dev           11.7.99                       0    nvidia
     cuda-cuobjdump            11.7.91                       0    nvidia
     cuda-cupti                11.7.101                      0    nvidia
     cuda-cuxxfilt             11.7.91                       0    nvidia
     cuda-demo-suite           12.1.55                       0    nvidia
     cuda-documentation        12.1.55                       0    nvidia
     cuda-driver-dev           11.7.99                       0    nvidia
     cuda-gdb                  12.1.55                       0    nvidia
     cuda-libraries            11.7.1                        0    nvidia
     cuda-libraries-dev        11.7.1                        0    nvidia
     cuda-memcheck             11.8.86                       0    nvidia
     cuda-nsight               12.1.55                       0    nvidia
     cuda-nsight-compute       12.1.0                        0    nvidia
     cuda-nvcc                 11.7.99                       0    nvidia
     cuda-nvdisasm             12.1.55                       0    nvidia
     cuda-nvml-dev             11.7.91                       0    nvidia
     cuda-nvprof               12.1.55                       0    nvidia
     cuda-nvprune              11.7.91                       0    nvidia
     cuda-nvrtc                11.7.99                       0    nvidia
     cuda-nvrtc-dev            11.7.99                       0    nvidia
     cuda-nvtx                 11.7.91                       0    nvidia
     cuda-nvvp                 12.1.55                       0    nvidia
     cuda-runtime              11.7.1                        0    nvidia
     cuda-sanitizer-api        12.1.55                       0    nvidia
     cuda-toolkit              11.7.1                        0    nvidia
     cuda-tools                11.7.1                        0    nvidia
     cuda-visual-tools         11.7.1                        0    nvidia
     cudatoolkit               11.3.1               ha36c431_9    nvidia
     cycler                    0.11.0             pyhd8ed1ab_0    conda-forge
     debugpy                   1.6.6                    pypi_0    pypi
     decorator                 5.1.1                    pypi_0    pypi
     executing                 1.2.0                    pypi_0    pypi
     ffmpeg                    4.3                  hf484d3e_0    pytorch
     fonttools                 4.39.0          py310h1fa729e_0    conda-forge
     freetype                  2.12.1               hca18f0e_1    conda-forge
     gds-tools                 1.6.0.25                      0    nvidia
     gmp                       6.2.1                h58526e2_0    conda-forge
     gnutls                    3.6.13               h85f3911_1    conda-forge
     h5py                      3.8.0           nompi_py310ha66b2ad_101    conda-forge
     hdf5                      1.14.0          nompi_hb72d44e_103    conda-forge
     icu                       70.1                 h27087fc_0    conda-forge
     idna                      3.4                pyhd8ed1ab_0    conda-forge
     importlib-metadata        6.0.0              pyha770c72_0    conda-forge
     importlib_metadata        6.0.0                hd8ed1ab_0    conda-forge
     ipykernel                 6.21.3                   pypi_0    pypi
     ipython                   8.11.0                   pypi_0    pypi
     jedi                      0.18.2                   pypi_0    pypi
     joblib                    1.2.0              pyhd8ed1ab_0    conda-forge
     jpeg                      9e                   h0b41bf4_3    conda-forge
     jupyter-client            8.0.3                    pypi_0    pypi
     jupyter-core              5.2.0                    pypi_0    pypi
     keyutils                  1.6.1                h166bdaf_0    conda-forge
     kiwisolver                1.4.4           py310hbf28c38_1    conda-forge
     krb5                      1.20.1               h81ceb04_0    conda-forge
     lame                      3.100             h166bdaf_1003    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
     libaec                    1.0.6                hcb278e6_1    conda-forge
     libblas                   3.9.0            16_linux64_mkl    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_mkl    conda-forge
     libcublas                 12.1.0.26                     0    nvidia
     libcublas-dev             12.1.0.26                     0    nvidia
     libcufft                  11.0.2.4                      0    nvidia
     libcufft-dev              11.0.2.4                      0    nvidia
     libcufile                 1.6.0.25                      0    nvidia
     libcufile-dev             1.6.0.25                      0    nvidia
     libcurand                 10.3.2.56                     0    nvidia
     libcurand-dev             10.3.2.56                     0    nvidia
     libcurl                   7.88.1               hdc1c0ab_0    conda-forge
     libcusolver               11.4.4.55                     0    nvidia
     libcusolver-dev           11.4.4.55                     0    nvidia
     libcusparse               12.0.2.55                     0    nvidia
     libcusparse-dev           12.0.2.55                     0    nvidia
     libdeflate                1.17                 h0b41bf4_0    conda-forge
     libedit                   3.1.20191231         he28a2e2_2    conda-forge
     libev                     4.33                 h516909a_1    conda-forge
     libffi                    3.4.2                h7f98852_5    conda-forge
     libgcc-ng                 12.2.0              h65d4601_19    conda-forge
     libgfortran-ng            12.2.0              h69a702a_19    conda-forge
     libgfortran5              12.2.0              h337968e_19    conda-forge
     libhwloc                  2.9.0                hd6dc26d_0    conda-forge
     libiconv                  1.17                 h166bdaf_0    conda-forge
     liblapack                 3.9.0            16_linux64_mkl    conda-forge
     liblapacke                3.9.0            16_linux64_mkl    conda-forge
     libllvm11                 11.1.0               he0ac6c6_5    conda-forge
     libnghttp2                1.52.0               h61bc06f_0    conda-forge
     libnpp                    12.0.2.50                     0    nvidia
     libnpp-dev                12.0.2.50                     0    nvidia
     libnsl                    2.0.0                h7f98852_0    conda-forge
     libnvjpeg                 12.1.0.39                     0    nvidia
     libnvjpeg-dev             12.1.0.39                     0    nvidia
     libpng                    1.6.39               h753d276_0    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
     libtiff                   4.5.0                h6adf6a1_2    conda-forge
     libuuid                   2.32.1            h7f98852_1000    conda-forge
     libwebp-base              1.2.4                h166bdaf_0    conda-forge
     libxcb                    1.13              h7f98852_1004    conda-forge
     libxml2                   2.10.3               h7463322_0    conda-forge
     libzlib                   1.2.13               h166bdaf_4    conda-forge
     llvm-openmp               15.0.7               h0cdce71_0    conda-forge
     llvmlite                  0.39.1          py310h58363a5_1    conda-forge
     matplotlib-base           3.7.1           py310he60537e_0    conda-forge
     matplotlib-inline         0.1.6                    pypi_0    pypi
     mkl                       2022.1.0           h84fe81f_915    conda-forge
     mkl-devel                 2022.1.0           ha770c72_916    conda-forge
     mkl-include               2022.1.0           h84fe81f_915    conda-forge
     munkres                   1.1.4              pyh9f0ad1d_0    conda-forge
     natsort                   8.3.1              pyhd8ed1ab_0    conda-forge
     ncurses                   6.3                  h27087fc_1    conda-forge
     nest-asyncio              1.5.6                    pypi_0    pypi
     nettle                    3.6                  he412f7d_0    conda-forge
     networkx                  3.0                pyhd8ed1ab_0    conda-forge
     nsight-compute            2023.1.0.15                   0    nvidia
     numba                     0.56.4          py310ha5257ce_0    conda-forge
     numpy                     1.23.5          py310h53a5b5f_0    conda-forge
     openh264                  2.1.1                h780b84a_0    conda-forge
     openjpeg                  2.5.0                hfec8fc6_2    conda-forge
     openssl                   3.0.8                h0b41bf4_0    conda-forge
     packaging                 23.0               pyhd8ed1ab_0    conda-forge
     pandas                    1.5.3           py310h9b08913_0    conda-forge
     parso                     0.8.3                    pypi_0    pypi
     patsy                     0.5.3              pyhd8ed1ab_0    conda-forge
     pexpect                   4.8.0                    pypi_0    pypi
     pickleshare               0.7.5                    pypi_0    pypi
     pillow                    9.4.0           py310h023d228_1    conda-forge
     pip                       23.0.1             pyhd8ed1ab_0    conda-forge
     platformdirs              3.1.0              pyhd8ed1ab_0    conda-forge
     pooch                     1.7.0              pyhd8ed1ab_0    conda-forge
     prompt-toolkit            3.0.38                   pypi_0    pypi
     psutil                    5.9.4                    pypi_0    pypi
     pthread-stubs             0.4               h36c2ea0_1001    conda-forge
     ptyprocess                0.7.0                    pypi_0    pypi
     pure-eval                 0.2.2                    pypi_0    pypi
     pycparser                 2.21               pyhd8ed1ab_0    conda-forge
     pygments                  2.14.0                   pypi_0    pypi
     pynndescent               0.5.8              pyh1a96a4e_0    conda-forge
     pyopenssl                 23.0.0             pyhd8ed1ab_0    conda-forge
     pyparsing                 3.0.9              pyhd8ed1ab_0    conda-forge
     pysocks                   1.7.1              pyha2e5f31_6    conda-forge
     python                    3.10.9          he550d4f_0_cpython    conda-forge
     python-dateutil           2.8.2              pyhd8ed1ab_0    conda-forge
     python_abi                3.10                    3_cp310    conda-forge
     pytorch                   1.13.1          py3.10_cuda11.7_cudnn8.5.0_0    pytorch
     pytorch-cuda              11.7                 h67b0de4_0    pytorch
     pytorch-mutex             1.0                        cuda    pytorch
     pytz                      2022.7.1           pyhd8ed1ab_0    conda-forge
     pyzmq                     25.0.1                   pypi_0    pypi
     readline                  8.1.2                h0f457ee_0    conda-forge
     requests                  2.28.2             pyhd8ed1ab_0    conda-forge
     scanpy                    1.9.3              pyhd8ed1ab_0    conda-forge
     scikit-learn              1.2.2           py310h209a8ca_0    conda-forge
     scipy                     1.10.1          py310h8deb116_0    conda-forge
     seaborn                   0.12.2               hd8ed1ab_0    conda-forge
     seaborn-base              0.12.2             pyhd8ed1ab_0    conda-forge
     session-info              1.0.0              pyhd8ed1ab_0    conda-forge
     setuptools                67.6.0             pyhd8ed1ab_0    conda-forge
     six                       1.16.0             pyh6c4a22f_0    conda-forge
     stack-data                0.6.2                    pypi_0    pypi
     statsmodels               0.13.5          py310hde88566_2    conda-forge
     stdlib-list               0.8.0              pyhd8ed1ab_0    conda-forge
     tbb                       2021.8.0             hf52228f_0    conda-forge
     threadpoolctl             3.1.0              pyh8a188c0_0    conda-forge
     tk                        8.6.12               h27826a3_0    conda-forge
     torchaudio                0.13.1              py310_cu117    pytorch
     torchvision               0.14.1              py310_cu117    pytorch
     tornado                   6.2                      pypi_0    pypi
     tqdm                      4.65.0             pyhd8ed1ab_1    conda-forge
     traitlets                 5.9.0                    pypi_0    pypi
     typing-extensions         4.5.0                hd8ed1ab_0    conda-forge
     typing_extensions         4.5.0              pyha770c72_0    conda-forge
     tzdata                    2022g                h191b570_0    conda-forge
     umap-learn                0.5.3           py310hff52083_0    conda-forge
     unicodedata2              15.0.0          py310h5764c6d_0    conda-forge
     urllib3                   1.26.15            pyhd8ed1ab_0    conda-forge
     wcwidth                   0.2.6                    pypi_0    pypi
     wheel                     0.38.4             pyhd8ed1ab_0    conda-forge
     xorg-libxau               1.0.9                h7f98852_0    conda-forge
     xorg-libxdmcp             1.1.3                h7f98852_0    conda-forge
     xz                        5.2.6                h166bdaf_0    conda-forge
     zipp                      3.15.0             pyhd8ed1ab_0    conda-forge
     zlib                      1.2.13               h166bdaf_4    conda-forge
     zstd                      1.5.2                h3eb15da_6    conda-forge
rpeys commented 1 year ago

I ended up successfully installing cuml into a different conda env using pip install cuml-cu11 --extra-index-url=https://pypi.nvidia.com. However, when I run import cuml in python, I get the following error: cudf.errors.UnsupportedCUDAError: Detected CUDA Runtime version is 10.0. Please update your CUDA Runtime to 11.0 or above.

It is true that my server has cuda 10 installed in /usr/local/cuda-10.1/, however, my conda environment shows that I have cuda-python version 11.8 installed. Do you know how I can get cuml to recognize the cuda toolkit version installed in my conda env, and avoid this error? Thanks!

Printing out updated output from print_env.sh:

Click here to see environment details

     **git***
     Not inside a git repository

     ***OS Information***
     DISTRIB_ID=Ubuntu
     DISTRIB_RELEASE=20.04
     DISTRIB_CODENAME=focal
     DISTRIB_DESCRIPTION="Ubuntu 20.04.3 LTS"
     NAME="Ubuntu"
     VERSION="20.04.3 LTS (Focal Fossa)"
     ID=ubuntu
     ID_LIKE=debian
     PRETTY_NAME="Ubuntu 20.04.3 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
     Linux hera 5.4.0-110-generic #124-Ubuntu SMP Thu Apr 14 19:46:19 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux

     ***GPU Information***
     Sat Mar 18 23:31:01 2023
     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 470.161.03   Driver Version: 470.161.03   CUDA Version: 11.4     |
     |-------------------------------+----------------------+----------------------+
     | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
     | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
     |                               |                      |               MIG M. |
     |===============================+======================+======================|
     |   0  NVIDIA GeForce ...  Off  | 00000000:3B:00.0 Off |                  N/A |
     | 23%   30C    P8    15W / 250W |   1353MiB / 11178MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   1  NVIDIA GeForce ...  Off  | 00000000:5E:00.0 Off |                  N/A |
     | 34%   58C    P2   115W / 250W |   9313MiB / 11178MiB |     43%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   2  NVIDIA GeForce ...  Off  | 00000000:AF:00.0 Off |                  N/A |
     | 23%   33C    P8     9W / 250W |      2MiB / 11178MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   3  NVIDIA GeForce ...  Off  | 00000000:D8:00.0 Off |                  N/A |
     | 23%   33C    P8     8W / 250W |      2MiB / 11178MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+

     +-----------------------------------------------------------------------------+
     | Processes:                                                                  |
     |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
     |        ID   ID                                                   Usage      |
     |=============================================================================|
     |    0   N/A  N/A    462567      C   ...vs/cuml-scanpy/bin/python     1351MiB |
     |    1   N/A  N/A    984349      C   python                           9311MiB |
     +-----------------------------------------------------------------------------+

     ***CPU***
     Architecture:                    x86_64
     CPU op-mode(s):                  32-bit, 64-bit
     Byte Order:                      Little Endian
     Address sizes:                   46 bits physical, 48 bits virtual
     CPU(s):                          48
     On-line CPU(s) list:             0-47
     Thread(s) per core:              2
     Core(s) per socket:              12
     Socket(s):                       2
     NUMA node(s):                    2
     Vendor ID:                       GenuineIntel
     CPU family:                      6
     Model:                           85
     Model name:                      Intel(R) Xeon(R) Gold 6126 CPU @ 2.60GHz
     Stepping:                        4
     CPU MHz:                         1000.066
     CPU max MHz:                     3700.0000
     CPU min MHz:                     1000.0000
     BogoMIPS:                        5200.00
     Virtualization:                  VT-x
     L1d cache:                       768 KiB
     L1i cache:                       768 KiB
     L2 cache:                        24 MiB
     L3 cache:                        38.5 MiB
     NUMA node0 CPU(s):               0-11,24-35
     NUMA node1 CPU(s):               12-23,36-47
     Vulnerability Itlb multihit:     KVM: Mitigation: Split huge pages
     Vulnerability L1tf:              Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable
     Vulnerability Mds:               Mitigation; Clear CPU buffers; SMT vulnerable
     Vulnerability Meltdown:          Mitigation; PTI
     Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
     Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
     Vulnerability Spectre v2:        Mitigation; Retpolines, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling
     Vulnerability Srbds:             Not affected
     Vulnerability Tsx async abort:   Mitigation; Clear CPU buffers; SMT vulnerable
     Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req pku ospke md_clear flush_l1d

     ***CMake***
     /usr/bin/cmake
     cmake version 3.16.3

     CMake suite maintained and supported by Kitware (kitware.com/cmake).

     ***g++***
     /usr/bin/g++
     g++ (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
     Copyright (C) 2019 Free Software Foundation, Inc.
     This is free software; see the source for copying conditions.  There is NO
     warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

     ***nvcc***

     ***Python***
     /opt/conda/rpeyser/envs/scset3/bin/python
     Python 3.8.15

     ***Environment Variables***
     PATH                            : /home/rpeyser/bin:/home/rpeyser/.local/bin:/home/rpeyser/google-cloud-sdk/bin:/opt/conda/rpeyser/envs/scset3/bin:/opt/conda/rpeyser/condabin:/usr/local/cuda-11.4/bin:/usr/local/csail/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:.:/software/jdk1.8.0_191/bin:/home/rpeyser/software/hadoop-3.1.1/bin:/home/rpeyser/software/apache-hive-3.1.1-bin/bin
     LD_LIBRARY_PATH                 : /usr/local/cuda-11.4/lib64:
     NUMBAPRO_NVVM                   :
     NUMBAPRO_LIBDEVICE              :
     CONDA_PREFIX                    : /opt/conda/rpeyser/envs/scset3
     PYTHON_PATH                     :

     ***conda packages***
     /opt/conda/rpeyser/condabin/conda
     # packages in environment at /opt/conda/rpeyser/envs/scset3:
     #
     # Name                    Version                   Build  Channel
     _libgcc_mutex             0.1                 conda_forge    conda-forge
     _openmp_mutex             4.5                       2_gnu    conda-forge
     absl-py                   1.3.0                    pypi_0    pypi
     addict                    2.4.0                    pypi_0    pypi
     anndata                   0.8.0                    pypi_0    pypi
     asttokens                 2.2.1              pyhd8ed1ab_0    conda-forge
     attrs                     22.2.0                   pypi_0    pypi
     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
     bzip2                     1.0.8                h7f98852_4    conda-forge
     ca-certificates           2022.12.7            ha878542_0    conda-forge
     cachetools                4.2.4                    pypi_0    pypi
     certifi                   2022.12.7                pypi_0    pypi
     chardet                   3.0.4                    pypi_0    pypi
     charset-normalizer        2.1.1                    pypi_0    pypi
     click                     8.1.3                    pypi_0    pypi
     cloudpickle               2.2.1                    pypi_0    pypi
     comm                      0.1.2              pyhd8ed1ab_0    conda-forge
     configargparse            1.5.3                    pypi_0    pypi
     contourpy                 1.0.6                    pypi_0    pypi
     cubinlinker-cu11          0.3.0.post1              pypi_0    pypi
     cuda-python               11.8.1                   pypi_0    pypi
     cudf-cu11                 23.2.0                   pypi_0    pypi
     cuml-cu11                 23.2.0                   pypi_0    pypi
     cupy-cuda11x              11.6.0                   pypi_0    pypi
     cycler                    0.11.0                   pypi_0    pypi
     cython                    0.29.21                  pypi_0    pypi
     dash                      2.8.1                    pypi_0    pypi
     dash-core-components      2.0.0                    pypi_0    pypi
     dash-html-components      2.0.0                    pypi_0    pypi
     dash-table                5.0.0                    pypi_0    pypi
     dask                      2023.1.1                 pypi_0    pypi
     dask-cuda                 23.2.1                   pypi_0    pypi
     dask-cudf-cu11            23.2.0                   pypi_0    pypi
     debugpy                   1.6.5            py38h8dc9893_0    conda-forge
     decorator                 5.1.1              pyhd8ed1ab_0    conda-forge
     deepspeed                 0.3.13                   pypi_0    pypi
     distributed               2023.1.1                 pypi_0    pypi
     entrypoints               0.4                pyhd8ed1ab_0    conda-forge
     executing                 1.2.0              pyhd8ed1ab_0    conda-forge
     fastjsonschema            2.16.2                   pypi_0    pypi
     fastrlock                 0.8.1                    pypi_0    pypi
     flask                     2.2.2                    pypi_0    pypi
     fonttools                 4.38.0                   pypi_0    pypi
     fsspec                    2023.3.0                 pypi_0    pypi
     future                    0.18.2                   pypi_0    pypi
     google-auth               1.35.0                   pypi_0    pypi
     google-auth-oauthlib      0.4.6                    pypi_0    pypi
     grpcio                    1.51.1                   pypi_0    pypi
     h5py                      3.7.0                    pypi_0    pypi
     heapdict                  1.0.1                    pypi_0    pypi
     idna                      2.10                     pypi_0    pypi
     igraph                    0.10.4                   pypi_0    pypi
     imageio                   2.9.0                    pypi_0    pypi
     imgaug                    0.4.0                    pypi_0    pypi
     importlib-metadata        6.0.0                    pypi_0    pypi
     importlib-resources       5.10.2                   pypi_0    pypi
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     ld_impl_linux-64          2.39                 hcc3a1bd_1    conda-forge
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     networkx                  2.8.8                    pypi_0    pypi
     ninja                     1.10.0.post2             pypi_0    pypi
     numba                     0.56.4                   pypi_0    pypi
     numpy                     1.23.5                   pypi_0    pypi
     nvtx                      0.2.5                    pypi_0    pypi
     oauthlib                  3.2.2                    pypi_0    pypi
     open3d                    0.16.0                   pypi_0    pypi
     opencv-python             4.3.0.36                 pypi_0    pypi
     openssl                   3.0.7                h0b41bf4_1    conda-forge
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     packaging                 22.0                     pypi_0    pypi
     pandas                    1.5.2                    pypi_0    pypi
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     pip                       22.3.1             pyhd8ed1ab_0    conda-forge
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     platformdirs              2.6.2              pyhd8ed1ab_0    conda-forge
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     pyrsistent                0.19.3                   pypi_0    pypi
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     tensorboardx              1.8                      pypi_0    pypi
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     tifffile                  2022.10.10               pypi_0    pypi
     tk                        8.6.12               h27826a3_0    conda-forge
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     torch                     1.12.1+cu113             pypi_0    pypi
     torchaudio                0.12.1+cu113             pypi_0    pypi
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wwdda commented 10 months ago

Hi Rpeys, I came across the same issue just now. Maybe you could check your CUDA runtime version by nvcc -V and since my cuda runtime version is indeed 10.0. I created a new environment with python=3.10(this way, it will not mess up my system CUDA) and installed the cuda-toolkit using conda by conda install -c "nvidia/label/cuda-{version}" cuda-toolkit

I got stuck in installing cuda toolkit for quite a while because there's another package called cudatoolkit(without the hyphen), I installed it at first, but nvcc was not installed in conda env's bin, so please do use cuda-toolkit for installation.

As for the version, I chose the same version as that shown from nvidia-smi.

afterwards, I export PATH={my conda environment path}, and the problem was solved.

I think the issue may stem from the cuda-toolkit version and hope this could help you.