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cuDF - GPU DataFrame Library
https://docs.rapids.ai/api/cudf/stable/
Apache License 2.0
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[BUG] Jupyter Kernel crash when calling nvtext.contains_string on larger dataset #3746

Closed antw-cg closed 3 years ago

antw-cg commented 4 years ago

Describe the bug This is a follow up to https://github.com/rapidsai/cudf/issues/3700. For a small toy dataset of 3 headlines, 2 tickers and 2 company names, the code below works fine. However, when running the same code when there are 1.6 million+ headlines and 9,000+ tickers and company names, the code runs for a bit and then the kernel crashes. The memory usage never exceeded 10% of the 32 GB and the GPU usage was pretty nominal until spiking up to > 75% right before the kernel crashed.

Steps/Code to reproduce bug

import cudf
import numpy as np
import nvstrings, nvtext

dts = np.array([20170101, 20170102, 20170103], dtype='int32')
headlines = ['FB buys Instagram', 'Trump says something', 'Amazon makes Bezos richer', ...]
# headlines is a list of 1.6M strings
gdf = cudf.DataFrame()
gdf['headline_text'] = headlines
gdf['dt'] = dts

TICKERS = ['fb', 'amzn', ... ]  # 9000+ elements long 
CO_NAMES = ['facebook', 'amazon', ... ]  # 9000+ elements long

headlines_nvs = nvstrings.to_device(list(gdf['headline_text'].astype('str').to_array()))
TICKERS_N_COS = TICKERS + CO_NAMES
tickers_n_cos_nvs = nvstrings.to_device(TICKERS_N_COS)
bool_matrix_labels = nvtext.contains_strings(headlines_nvs, tickers_n_cos_nvs)
labels_df = pd.DataFrame(bool_mtrx_lbls, columns=TICKERS_N_COS)

Expected behavior The kernel should not crash.

Environment overview (please complete the following information)

Environment details **git*** Not inside a git repository

 ***OS Information***
 DISTRIB_ID=Ubuntu
 DISTRIB_RELEASE=18.04
 DISTRIB_CODENAME=bionic
 DISTRIB_DESCRIPTION="Ubuntu 18.04.2 LTS"
 NAME="Ubuntu"
 VERSION="18.04.2 LTS (Bionic Beaver)"
 ID=ubuntu
 ID_LIKE=debian
 PRETTY_NAME="Ubuntu 18.04.2 LTS"
 VERSION_ID="18.04"
 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=bionic
 UBUNTU_CODENAME=bionic
 Linux a157821 4.4.0-165-generic #193-Ubuntu SMP Tue Sep 17 17:42:52 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux

 ***GPU Information***
 Mon Jan  6 21:28:16 2020
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 384.183      Driver Version: 384.183      CUDA Version: 10.1     |
 |-------------------------------+----------------------+----------------------+
 | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
 | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
 |===============================+======================+======================|
 |   0  Tesla V100-DGXS...  On   | 00000000:07:00.0 Off |                    0 |
 | N/A   42C    P0    52W / 300W |  14317MiB / 32497MiB |      1%      Default |
 +-------------------------------+----------------------+----------------------+
 |   1  Tesla V100-DGXS...  On   | 00000000:08:00.0 Off |                    0 |
 | N/A   41C    P0    54W / 300W |   2609MiB / 32499MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   2  Tesla V100-DGXS...  On   | 00000000:0E:00.0 Off |                    0 |
 | N/A   41C    P0    54W / 300W |   2609MiB / 32499MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   3  Tesla V100-DGXS...  On   | 00000000:0F:00.0 Off |                    0 |
 | N/A   42C    P0    53W / 300W |   2609MiB / 32499MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+

 +-----------------------------------------------------------------------------+
 | Processes:                                                       GPU Memory |
 |  GPU       PID   Type   Process name                             Usage      |
 |=============================================================================|
 +-----------------------------------------------------------------------------+

 ***CPU***
 Architecture:        x86_64
 CPU op-mode(s):      32-bit, 64-bit
 Byte Order:          Little Endian
 CPU(s):              40
 On-line CPU(s) list: 0-39
 Thread(s) per core:  2
 Core(s) per socket:  20
 Socket(s):           1
 NUMA node(s):        1
 Vendor ID:           GenuineIntel
 CPU family:          6
 Model:               79
 Model name:          Intel(R) Xeon(R) CPU E5-2698 v4 @ 2.20GHz
 Stepping:            1
 CPU MHz:             1199.945
 CPU max MHz:         3600.0000
 CPU min MHz:         1200.0000
 BogoMIPS:            4397.49
 Virtualization:      VT-x
 L1d cache:           32K
 L1i cache:           32K
 L2 cache:            256K
 L3 cache:            51200K
 NUMA node0 CPU(s):   0-39
 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 arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf pni pclmulqdq dtes64 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 epb invpcid_single intel_pt ssbd ibrs ibpb stibp kaiser tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdseed adx smap xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts md_clear flush_l1d

 ***CMake***
 /opt/conda/bin/cmake
 cmake version 3.14.0

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

 ***g++***
 /usr/bin/g++
 g++ (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
 Copyright (C) 2017 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) 2005-2019 NVIDIA Corporation
 Built on Sun_Jul_28_19:07:16_PDT_2019
 Cuda compilation tools, release 10.1, V10.1.243

 ***Python***
 /opt/conda/envs/test_env/bin/python
 Python 3.6.7

 ***Environment Variables***
 PATH                            : /opt/conda/envs/test_env/bin:/opt/conda/condabin:/usr/local/nvm/versions/node/v12.9.0/bin:/opt/conda/bin:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
 LD_LIBRARY_PATH                 : /usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
 NUMBAPRO_NVVM                   :
 NUMBAPRO_LIBDEVICE              :
 CONDA_PREFIX                    : /opt/conda/envs/test_env
 PYTHON_PATH                     :

 ***conda packages***
 /opt/conda/condabin/conda
 # packages in environment at /opt/conda/envs/test_env:
 #
 # Name                    Version                   Build  Channel
 _libgcc_mutex             0.1                        main
 absl-py                   0.9.0                    pypi_0    pypi
 alabaster                 0.7.12                   pypi_0    pypi
 apex                      0.1                      pypi_0    pypi
 arrow-cpp                 0.15.0           py36h090bef1_2    conda-forge
 astor                     0.8.1                    pypi_0    pypi
 attrs                     19.3.0                     py_0    conda-forge
 babel                     2.7.0                    pypi_0    pypi
 backcall                  0.1.0                    py36_0
 blas                      1.0                         mkl
 blis                      0.4.1                    pypi_0    pypi
 bokeh                     1.4.0                    py36_0
 boost-cpp                 1.70.0               h8e57a91_2    conda-forge
 boto3                     1.10.43                  pypi_0    pypi
 botocore                  1.13.43                  pypi_0    pypi
 brotli                    1.0.7                he6710b0_0
 bzip2                     1.0.8                h7b6447c_0
 c-ares                    1.15.0            h7b6447c_1001
 ca-certificates           2019.11.28           hecc5488_0    conda-forge
 cachetools                4.0.0                    pypi_0    pypi
 cairo                     1.16.0            hfb77d84_1002    conda-forge
 catalogue                 0.0.8                      py_0    conda-forge
 certifi                   2019.11.28               py36_0
 cffi                      1.13.2           py36h8022711_0    conda-forge
 cfitsio                   3.470                hb7c8383_2
 chardet                   3.0.4                 py36_1003    conda-forge
 click                     7.0                      py36_0
 cloudpickle               1.2.2                      py_0
 conllu                    1.3.1                    pypi_0    pypi
 cryptography              2.8              py36h72c5cf5_1    conda-forge
 cudatoolkit               10.1.243             h6bb024c_0    nvidia
 cudf                      0.11.0                   py36_0    rapidsai
 cudnn                     7.6.5                cuda10.1_0
 cugraph                   0.11.0                   py36_0    rapidsai
 cuml                      0.11.0          cuda10.1_py36_0    rapidsai
 cupy                      6.6.0            py36ha7c4746_1    conda-forge
 curl                      7.67.0               hbc83047_0
 cuspatial                 0.11.0                   py36_0    rapidsai
 cycler                    0.10.0                   pypi_0    pypi
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 cython                    0.29.14          py36he6710b0_0
 cytoolz                   0.10.1           py36h7b6447c_0
 dask                      2.9.0                      py_0
 dask-core                 2.9.0                      py_0
 dask-cuda                 0.11.0                   py36_0    rapidsai
 dask-cudf                 0.11.0                   py36_0    rapidsai
 dask-xgboost              0.2.0.dev28      cuda10.1py36_0    rapidsai
 datasketch                1.5.0                    pypi_0    pypi
 decorator                 4.4.1                      py_0
 distributed               2.9.0                      py_0
 dlpack                    0.2                  he1b5a44_1    conda-forge
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 double-conversion         3.1.5                he6710b0_1
 editdistance              0.5.3                    pypi_0    pypi
 en-core-web-lg            2.2.5                    pypi_0    pypi
 expat                     2.2.6                he6710b0_0
 fast-bert                 1.5.3                    pypi_0    pypi
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 fastrlock                 0.4              py36he6710b0_0
 flaky                     3.6.1                    pypi_0    pypi
 flask                     1.1.1                    pypi_0    pypi
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 freexl                    1.0.5                h14c3975_0
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 ftfy                      5.6                      pypi_0    pypi
 gast                      0.2.2                    pypi_0    pypi
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 gevent                    1.4.0                    pypi_0    pypi
 gflags                    2.2.2                he6710b0_0
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 glib                      2.63.1               h5a9c865_0
 glog                      0.4.0                he6710b0_0
 google-auth               1.10.0                   pypi_0    pypi
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 google-pasta              0.1.8                    pypi_0    pypi
 greenlet                  0.4.15                   pypi_0    pypi
 grpc-cpp                  1.23.0               h18db393_0    conda-forge
 grpcio                    1.26.0                   pypi_0    pypi
 h5py                      2.10.0                   pypi_0    pypi
 hdf4                      4.2.13               h3ca952b_2
 hdf5                      1.10.5          nompi_h3c11f04_1104    conda-forge
 heapdict                  1.0.1                      py_0
 icu                       64.2                 he1b5a44_1    conda-forge
 idna                      2.8                   py36_1000    conda-forge
 imagesize                 1.1.0                    pypi_0    pypi
 importlib_metadata        1.3.0                    py36_0    conda-forge
 intel-openmp              2019.4                      243
 ipykernel                 5.1.3            py36h5ca1d4c_0    conda-forge
 ipython                   7.10.2           py36h39e3cac_0
 ipython_genutils          0.2.0                    py36_0
 itsdangerous              1.1.0                    pypi_0    pypi
 jedi                      0.15.1                   py36_0
 jinja2                    2.10.3                     py_0
 jmespath                  0.9.4                    pypi_0    pypi
 joblib                    0.14.1                     py_0
 jpeg                      9c                h14c3975_1001    conda-forge
 json-c                    0.13.1               h1bed415_0
 jsonnet                   0.14.0                   pypi_0    pypi
 jsonpickle                1.2                      pypi_0    pypi
 jsonschema                3.2.0                    py36_0    conda-forge
 jupyter_client            5.3.4                    py36_0
 jupyter_core              4.6.1                    py36_0
 kealib                    1.4.10            h58c409b_1005    conda-forge
 keras                     2.3.1                    pypi_0    pypi
 keras-applications        1.0.8                    pypi_0    pypi
 keras-preprocessing       1.1.0                    pypi_0    pypi
 kiwisolver                1.1.0                    pypi_0    pypi
 krb5                      1.16.4               h173b8e3_0
 libcudf                   0.11.0               cuda10.1_0    rapidsai
 libcugraph                0.11.0               cuda10.1_0    rapidsai
 libcuml                   0.11.0               cuda10.1_0    rapidsai
 libcumlprims              0.11.0               cuda10.1_0    nvidia
 libcurl                   7.67.0               h20c2e04_0
 libcuspatial              0.11.0               cuda10.1_0    rapidsai
 libdap4                   3.20.4               hd3bb157_0    conda-forge
 libedit                   3.1.20181209         hc058e9b_0
 libevent                  2.1.10               h72c5cf5_0    conda-forge
 libffi                    3.2.1                hd88cf55_4
 libgcc-ng                 9.1.0                hdf63c60_0
 libgdal                   2.4.3                h2f07a13_9    conda-forge
 libgfortran-ng            7.3.0                hdf63c60_0
 libiconv                  1.15                 h63c8f33_5
 libkml                    1.3.0             h4fcabce_1010    conda-forge
 libnetcdf                 4.7.1           nompi_h94020b1_102    conda-forge
 libnvstrings              0.11.0               cuda10.1_0    rapidsai
 libpng                    1.6.37               hbc83047_0
 libpq                     11.5                 hd9ab2ff_2    conda-forge
 libprotobuf               3.8.0                h8b12597_0    conda-forge
 librmm                    0.11.0               cuda10.1_0    rapidsai
 libsodium                 1.0.16               h1bed415_0
 libspatialite             4.3.0a            h4f6d029_1032    conda-forge
 libssh2                   1.8.2                h1ba5d50_0
 libstdcxx-ng              9.1.0                hdf63c60_0
 libtiff                   4.1.0                hfc65ed5_0    conda-forge
 libuuid                   2.32.1            h14c3975_1000    conda-forge
 libxcb                    1.13                 h1bed415_1
 libxgboost                1.0.0dev.rapidsai0.11      cuda10.1_1    rapidsai
 libxml2                   2.9.10               hee79883_0    conda-forge
 llvmlite                  0.30.0           py36hd408876_0
 locket                    0.2.0                    py36_1
 lz4-c                     1.8.3             he1b5a44_1001    conda-forge
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 markupsafe                1.1.1            py36h7b6447c_0
 matplotlib                3.1.2                    pypi_0    pypi
 mkl                       2019.4                      243
 mkl-service               2.3.0            py36he904b0f_0
 mkl_fft                   1.0.15           py36ha843d7b_0
 mkl_random                1.1.0            py36hd6b4f25_0
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 more-itertools            8.0.2                      py_0    conda-forge
 msgpack-python            0.6.1            py36hfd86e86_1
 murmurhash                1.0.0            py36he1b5a44_0    conda-forge
 nccl                      2.4.6.1              cuda10.1_0    nvidia
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 ninja                     1.9.0            py36hfd86e86_0
 nltk                      3.4.5                    pypi_0    pypi
 numba                     0.46.0           py36h962f231_0
 numpy                     1.17.4           py36hc1035e2_0
 numpy-base                1.17.4           py36hde5b4d6_0
 numpydoc                  0.9.1                    pypi_0    pypi
 nvstrings                 0.11.0                   py36_0    rapidsai
 oauthlib                  3.1.0                    pypi_0    pypi
 olefile                   0.46                     py36_0
 openjpeg                  2.3.1                h981e76c_3    conda-forge
 openssl                   1.1.1d               h7b6447c_3
 opt-einsum                3.1.0                    pypi_0    pypi
 overrides                 2.6                      pypi_0    pypi
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 pandas                    0.24.2           py36he6710b0_0
 parquet-cpp               1.5.1                         2    conda-forge
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 pillow                    6.2.1            py36h34e0f95_0
 pip                       19.3.1                   py36_0
 pixman                    0.38.0               h7b6447c_0
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 plotly                    4.4.1                    pypi_0    pypi
 pluggy                    0.13.1                   pypi_0    pypi
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 postgresql                11.5                 hc63931a_2    conda-forge
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 preshed                   3.0.2            py36he1b5a44_1    conda-forge
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 psutil                    5.6.7            py36h7b6447c_0
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 py                        1.8.0                    pypi_0    pypi
 py-xgboost                1.0.0dev.rapidsai0.11  cuda10.1py36_1    rapidsai
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 python                    3.6.7             h357f687_1006    conda-forge
 python-dateutil           2.8.0                    pypi_0    pypi
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 pytz                      2019.3                     py_0
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 pyzmq                     18.1.0           py36he6710b0_0
 rapids                    0.11.0          cuda10.1_py36_10    rapidsai
 rapids-xgboost            0.11.0          cuda10.1_py36_10    rapidsai
 re2                       2019.08.01           he6710b0_0
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 regex                     2019.12.19               pypi_0    pypi
 requests                  2.22.0                   py36_1    conda-forge
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 six                       1.13.0                   py36_0
 sklearn                   0.0                      pypi_0    pypi
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 sphinxcontrib-devhelp     1.0.1                    pypi_0    pypi
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 sphinxcontrib-jsmath      1.0.1                    pypi_0    pypi
 sphinxcontrib-qthelp      1.0.2                    pypi_0    pypi
 sphinxcontrib-serializinghtml 1.1.3                    pypi_0    pypi
 sqlalchemy                1.3.11           py36h7b6447c_0
 sqlite                    3.30.1               h7b6447c_0
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 srsly                     0.2.0            py36he1b5a44_0    conda-forge
 statsmodels               0.10.2                   pypi_0    pypi
 tbb                       2019.8               hfd86e86_0
 tblib                     1.6.0                      py_0
 tensorboard               2.0.2                    pypi_0    pypi
 tensorboardx              1.9                      pypi_0    pypi
 tensorflow                2.0.0                    pypi_0    pypi
 tensorflow-estimator      2.0.1                    pypi_0    pypi
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 thrift-cpp                0.12.0            hf3afdfd_1004    conda-forge
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 toolz                     0.10.0                     py_0
 torch                     1.3.1                    pypi_0    pypi
 torchvision               0.4.2                    pypi_0    pypi
 tornado                   6.0.3            py36h7b6447c_0
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 word2number               1.1                      pypi_0    pypi
 wrapt                     1.11.2                   pypi_0    pypi
 xerces-c                  3.2.2             h8412b87_1004    conda-forge
 xgboost                   1.0.0dev.rapidsai0.11  cuda10.1py36_1    rapidsai
 xorg-kbproto              1.0.7             h14c3975_1002    conda-forge
 xorg-libice               1.0.10               h516909a_0    conda-forge
 xorg-libsm                1.2.3             h84519dc_1000    conda-forge
 xorg-libx11               1.6.9                h516909a_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             h14c3975_1002    conda-forge
 xorg-xproto               7.0.31            h14c3975_1007    conda-forge
 xz                        5.2.4                h14c3975_4
 yaml                      0.1.7                had09818_2
 zeromq                    4.3.1                he6710b0_3
 zict                      1.0.0                      py_0
 zipp                      0.6.0                      py_0    conda-forge
 zlib                      1.2.11               h7b6447c_3
 zstd                      1.4.3                h3b9ef0a_0    conda-forge
kkraus14 commented 3 years ago

Since nvstrings and nvtext are now integrated into libcudf and have been significantly refactored, this is no longer relevant. Closing.