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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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[BUG] import cuml gives AttributeError: module 'cuml' has no attribute 'internals' #3794

Closed vinson2233 closed 2 years ago

vinson2233 commented 3 years ago

Describe the bug importing cuml raise errors 

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-7-a450aff8eac6> in <module>
----> 1 import cuml

/opt/conda/envs/rapids-0.19/lib/python3.7/site-packages/cuml/__init__.py in <module>
     37 from cuml.ensemble.randomforestregressor import RandomForestRegressor
     38 
---> 39 from cuml.explainer.kernel_shap import KernelExplainer
     40 from cuml.explainer.permutation_shap import PermutationExplainer
     41 

/opt/conda/envs/rapids-0.19/lib/python3.7/site-packages/cuml/explainer/__init__.py in <module>
     15 #
     16 
---> 17 from cuml.explainer.kernel_shap import KernelExplainer
     18 from cuml.explainer.permutation_shap import PermutationExplainer

cuml/explainer/kernel_shap.pyx in init cuml.explainer.kernel_shap()

/opt/conda/envs/rapids-0.19/lib/python3.7/site-packages/cuml/linear_model/__init__.py in <module>
     16 
     17 
---> 18 from cuml.linear_model.elastic_net import ElasticNet
     19 from cuml.linear_model.lasso import Lasso
     20 from cuml.linear_model.linear_regression import LinearRegression

cuml/linear_model/elastic_net.pyx in init cuml.linear_model.elastic_net()

/opt/conda/envs/rapids-0.19/lib/python3.7/site-packages/cuml/solvers/__init__.py in <module>
     17 from cuml.solvers.cd import CD
     18 from cuml.solvers.sgd import SGD
---> 19 from cuml.solvers.qn import QN

cuml/solvers/qn.pyx in init cuml.solvers.qn()

/opt/conda/envs/rapids-0.19/lib/python3.7/site-packages/cuml/metrics/__init__.py in <module>
     37 from cuml.metrics.pairwise_distances import PAIRWISE_DISTANCE_METRICS
     38 from cuml.metrics.pairwise_distances import PAIRWISE_DISTANCE_SPARSE_METRICS
---> 39 from cuml.metrics.hinge_loss import hinge_loss

cuml/metrics/hinge_loss.pyx in init cuml.metrics.hinge_loss()

/opt/conda/envs/rapids-0.19/lib/python3.7/site-packages/cuml/preprocessing/__init__.py in <module>
     16 from cuml.preprocessing.model_selection import train_test_split
     17 from cuml.preprocessing.LabelEncoder import LabelEncoder
---> 18 from cuml.preprocessing.label import LabelBinarizer, label_binarize
     19 from cuml.preprocessing.encoders import OneHotEncoder
     20 from cuml.preprocessing.TargetEncoder import TargetEncoder

/opt/conda/envs/rapids-0.19/lib/python3.7/site-packages/cuml/preprocessing/label.py in <module>
     25 
     26 
---> 27 @cuml.internals.api_return_sparse_array()
     28 def label_binarize(y, classes, neg_label=0, pos_label=1,
     29                    sparse_output=False) -> SparseCumlArray:

AttributeError: module 'cuml' has no attribute 'internals'

Steps/Code to reproduce bug import cuml

Expected behavior the libraries imported without issues

Environment details (please complete the following information):

dantegd commented 3 years ago

Hi @vinson2233, thanks for the issue! I just tried reproducing the issue and didn't run into the problem:

(base) ➜  ~ mamba create -n ns0326 -c rapidsai -c nvidia -c conda-forge cuml=0.19 python=3.7 cudatoolkit=11.0 scikit-learn
...
(ns0326) ➜  ~ conda list | grep cuml       
cuml                      0.19.0          cuda11.0_py37_g4cb78ff1a_0    rapidsai
libcuml                   0.19.0          cuda11.0_g4cb78ff1a_0    rapidsai
libcumlprims              0.19.0          cuda11.0_ga2abf9f_0    nvidia
(ns0326) ➜  ~ python                
Python 3.7.10 | packaged by conda-forge | (default, Feb 19 2021, 16:07:37) 
[GCC 9.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import cuml
>>> a = cuml.DBSCAN()
>>> a
DBSCAN()

Could you try running this script https://github.com/rapidsai/cuml/blob/branch-0.20/print_env.sh and putting the output in here? This might help triage what is the problem. Thanks!

vinson2233 commented 3 years ago 
<details><summary>Click here to see environment details</summary><pre>

     **git***
     Not inside a git repository

     ***OS Information***
     PRETTY_NAME="Debian GNU/Linux 10 (buster)"
     NAME="Debian GNU/Linux"
     VERSION_ID="10"
     VERSION="10 (buster)"
     VERSION_CODENAME=buster
     ID=debian
     HOME_URL="https://www.debian.org/"
     SUPPORT_URL="https://www.debian.org/support"
     BUG_REPORT_URL="https://bugs.debian.org/"
     Linux vinson-gpu-notebook 4.19.0-14-cloud-amd64 #1 SMP Debian 4.19.171-2 (2021-01-30) x86_64 GNU/Linux

     ***GPU Information***
     Mon Apr 26 16:07:02 2021
     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 450.80.02    Driver Version: 450.80.02    CUDA Version: 11.0     |
     |-------------------------------+----------------------+----------------------+
     | 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  Tesla T4            Off  | 00000000:00:04.0 Off |                    0 |
     | N/A   57C    P0    17W /  70W |      0MiB / 15109MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+

     +-----------------------------------------------------------------------------+
     | Processes:                                                                  |
     |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
     |        ID   ID                                                   Usage      |
     |=============================================================================|
     |  No running processes found                                                 |
     +-----------------------------------------------------------------------------+

     ***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):              8
     On-line CPU(s) list: 0-7
     Thread(s) per core:  2
     Core(s) per socket:  4
     Socket(s):           1
     NUMA node(s):        1
     Vendor ID:           GenuineIntel
     CPU family:          6
     Model:               79
     Model name:          Intel(R) Xeon(R) CPU @ 2.20GHz
     Stepping:            0
     CPU MHz:             2199.998
     BogoMIPS:            4399.99
     Hypervisor vendor:   KVM
     Virtualization type: full
     L1d cache:           32K
     L1i cache:           32K
     L2 cache:            256K
     L3 cache:            56320K
     NUMA node0 CPU(s):   0-7
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     ***CMake***
     /usr/bin/cmake
     cmake version 3.13.4

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

     ***g++***
     /usr/bin/g++
     g++ (Debian 8.3.0-6) 8.3.0
     Copyright (C) 2018 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***
     /usr/local/cuda/bin/nvcc
     nvcc: NVIDIA (R) Cuda compiler driver
     Copyright (c) 2005-2020 NVIDIA Corporation
     Built on Thu_Jun_11_22:26:38_PDT_2020
     Cuda compilation tools, release 11.0, V11.0.194
     Build cuda_11.0_bu.TC445_37.28540450_0

     ***Python***
     /opt/conda/bin/python
     Python 3.7.10

     ***Environment Variables***
     PATH                            : /usr/local/cuda/bin:/opt/conda/bin:/usr/local/bin:/usr/bin:/bin:/usr/local/games:/usr/games
     LD_LIBRARY_PATH                 : /usr/local/cuda/lib64:/usr/local/nccl2/lib:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:/usr/local/nccl2/lib:/usr/local/cuda/extras/CUPTI/lib64
     NUMBAPRO_NVVM                   :
     NUMBAPRO_LIBDEVICE              :
     CONDA_PREFIX                    : /opt/conda
     PYTHON_PATH                     :

     ***conda packages***
     /opt/conda/bin/conda
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     #
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     notebook-executor         0.2                      pypi_0    pypi
     nspr                      4.29                 h9c3ff4c_1    conda-forge
     nss                       3.62                 hb5efdd6_0    conda-forge
     numba                     0.52.0           py37hdc94413_0    conda-forge
     numpy                     1.19.5           py37haa41c4c_1    conda-forge
     oauthlib                  3.0.1                      py_0    conda-forge
     olefile                   0.46               pyh9f0ad1d_1    conda-forge
     opencv                    4.5.1            py37h89c1867_0    conda-forge
     openh264                  2.1.1                h780b84a_0    conda-forge
     openssl                   1.1.1j               h7f98852_0    conda-forge
     orc                       1.6.7                heec2584_1    conda-forge
     packaging                 20.9               pyh44b312d_0    conda-forge
     pandas                    1.2.2            py37hdc94413_0    conda-forge
     pandas-profiling          2.11.0             pyhd8ed1ab_0    conda-forge
     pandoc                    2.11.4               h7f98852_0    conda-forge
     pandocfilters             1.4.2                      py_1    conda-forge
     papermill                 2.3.2              pyhd8ed1ab_0    conda-forge
     parquet-cpp               1.5.1                         2    conda-forge
     parso                     0.8.1              pyhd8ed1ab_0    conda-forge
     pathspec                  0.8.1              pyhd3deb0d_0    conda-forge
     patsy                     0.5.1                      py_0    conda-forge
     pcre                      8.44                 he1b5a44_0    conda-forge
     pexpect                   4.8.0              pyh9f0ad1d_2    conda-forge
     phik                      0.10.0                     py_0    conda-forge
     pickleshare               0.7.5                   py_1003    conda-forge
     pillow                    8.1.0            py37h4600e1f_2    conda-forge
     pip                       21.0.1             pyhd8ed1ab_0    conda-forge
     pixman                    0.40.0               h36c2ea0_0    conda-forge
     poyo                      0.5.0                      py_0    conda-forge
     prettytable               2.0.0              pyhd8ed1ab_0    conda-forge
     prometheus_client         0.9.0              pyhd3deb0d_0    conda-forge
     prompt-toolkit            3.0.16             pyha770c72_0    conda-forge
     protobuf                  3.15.2           py37hcd2ae1e_0    conda-forge
     pthread-stubs             0.4               h36c2ea0_1001    conda-forge
     ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
     py-opencv                 4.5.1            py37h888b3d9_0    conda-forge
     pyarrow                   3.0.0           py37h0ef46b9_6_cpu    conda-forge
     pyasn1                    0.4.8                      py_0    conda-forge
     pyasn1-modules            0.2.7                      py_0    conda-forge
     pycosat                   0.6.3           py37h5e8e339_1006    conda-forge
     pycparser                 2.20                       py_2
     pygments                  2.8.0              pyhd8ed1ab_0    conda-forge
     pyjwt                     2.0.1              pyhd8ed1ab_0    conda-forge
     pyopenssl                 20.0.1             pyhd8ed1ab_0    conda-forge
     pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge
     pyrsistent                0.17.3           py37h5e8e339_2    conda-forge
     pysocks                   1.7.1            py37h89c1867_3    conda-forge
     python                    3.7.10          hffdb5ce_100_cpython    conda-forge
     python-dateutil           2.8.1                      py_0    conda-forge
     python-kubernetes         12.0.1             pyhd3deb0d_0    conda-forge
     python-slugify            4.0.1              pyh9f0ad1d_0    conda-forge
     python_abi                3.7                     1_cp37m    conda-forge
     pytz                      2021.1             pyhd8ed1ab_0    conda-forge
     pywavelets                1.1.1            py37h902c9e0_3    conda-forge
     pyyaml                    5.4.1            py37h5e8e339_0    conda-forge
     pyzmq                     22.0.3           py37h499b945_0    conda-forge
     qt                        5.12.9               hda022c4_4    conda-forge
     re2                       2020.11.01           h58526e2_0    conda-forge
     readline                  8.0                  h7b6447c_0
     regex                     2020.11.13       py37h5e8e339_1    conda-forge
     requests                  2.25.1             pyhd3deb0d_0    conda-forge
     requests-oauthlib         1.3.0              pyh9f0ad1d_0    conda-forge
     retrying                  1.3.3                    pypi_0    pypi
     rsa                       4.7.2              pyh44b312d_0    conda-forge
     ruamel_yaml               0.15.80         py37h5e8e339_1004    conda-forge
     s2n                       1.0.0                h9b69904_0    conda-forge
     scikit-learn              0.24.1           py37h69acf81_0    conda-forge
     scipy                     1.6.0            py37h14a347d_0    conda-forge
     seaborn                   0.11.1               hd8ed1ab_1    conda-forge
     seaborn-base              0.11.1             pyhd8ed1ab_1    conda-forge
     send2trash                1.5.0                      py_0    conda-forge
     setuptools                49.6.0           py37h89c1867_3    conda-forge
     simplejson                3.17.2           py37h5e8e339_2    conda-forge
     six                       1.15.0             pyh9f0ad1d_0    conda-forge
     smmap                     3.0.5              pyh44b312d_0    conda-forge
     snappy                    1.1.8                he1b5a44_3    conda-forge
     sqlalchemy                1.3.23           py37h5e8e339_0    conda-forge
     sqlite                    3.34.0               h74cdb3f_0    conda-forge
     sqlparse                  0.4.1              pyh9f0ad1d_0    conda-forge
     statsmodels               0.12.2           py37h902c9e0_0    conda-forge
     tangled-up-in-unicode     0.0.6              pyh9f0ad1d_0    conda-forge
     tenacity                  6.3.1              pyhd8ed1ab_0    conda-forge
     tensorboard               2.4.1                    pypi_0    pypi
     tensorboard-plugin-wit    1.8.0                    pypi_0    pypi
     terminado                 0.9.2            py37h89c1867_0    conda-forge
     testpath                  0.4.4                      py_0    conda-forge
     text-unidecode            1.3                        py_0    conda-forge
     textwrap3                 0.9.2                      py_0    conda-forge
     threadpoolctl             2.1.0              pyh5ca1d4c_0    conda-forge
     tk                        8.6.10               hbc83047_0
     toml                      0.10.2             pyhd8ed1ab_0    conda-forge
     tornado                   6.1              py37h5e8e339_1    conda-forge
     tqdm                      4.58.0             pyhd8ed1ab_0    conda-forge
     traitlets                 5.0.5                      py_0    conda-forge
     typed-ast                 1.4.2            py37h5e8e339_0    conda-forge
     typing-extensions         3.7.4.3                       0    conda-forge
     typing_extensions         3.7.4.3                    py_0    conda-forge
     unidecode                 1.2.0              pyhd8ed1ab_0    conda-forge
     uritemplate               3.0.1                      py_0    conda-forge
     urllib3                   1.26.3             pyhd8ed1ab_0    conda-forge
     visions                   0.6.0              pyh9f0ad1d_0    conda-forge
     wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
     webencodings              0.5.1                      py_1    conda-forge
     websocket-client          0.57.0           py37h89c1867_4    conda-forge
     werkzeug                  1.0.1                    pypi_0    pypi
     wheel                     0.36.2             pyhd3deb0d_0    conda-forge
     whichcraft                0.6.1                      py_0    conda-forge
     widgetsnbextension        3.5.1            py37h89c1867_4    conda-forge
     wrapt                     1.12.1           py37h5e8e339_3    conda-forge
     x264                      1!161.3030           h7f98852_0    conda-forge
     xorg-kbproto              1.0.7             h7f98852_1002    conda-forge
     xorg-libice               1.0.10               h516909a_0    conda-forge
     xorg-libsm                1.2.3             h84519dc_1000    conda-forge
     xorg-libx11               1.6.12               h516909a_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                h516909a_0    conda-forge
     xorg-libxrender           0.9.10            h516909a_1002    conda-forge
     xorg-renderproto          0.11.1            h14c3975_1002    conda-forge
     xorg-xextproto            7.3.0             h7f98852_1002    conda-forge
     xorg-xproto               7.0.31            h7f98852_1007    conda-forge
     xz                        5.2.5                h7b6447c_0
     yaml                      0.2.5                h7b6447c_0
     yarl                      1.6.3            py37h5e8e339_1    conda-forge
     zeromq                    4.3.4                h9c3ff4c_0    conda-forge
     zipp                      3.4.0                      py_0    conda-forge
     zlib                      1.2.11               h7b6447c_3
     zstd                      1.4.8                ha95c52a_1    conda-forge

</pre></details>
Nanthini10 commented 3 years ago

I'm able to reproduce this either - can you try uninstalling the rapids libraries and trying again?

github-actions[bot] commented 3 years ago

This issue has been labeled inactive-30d due to no recent activity in the past 30 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed. This issue will be labeled inactive-90d if there is no activity in the next 60 days.

github-actions[bot] commented 2 years ago

This issue has been labeled inactive-90d due to no recent activity in the past 90 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed.

beckernick commented 2 years ago

Unable to reproduce. Closing.