efajardo-nv
commented
3 years ago issue has been resolved by recent cugraph pr merge.
Closed efajardo-nv closed 3 years ago
efajardo-nv
commented
3 years ago issue has been resolved by recent cugraph pr merge.
Describe the bug Running Louvain example code produces CUDA illegal memory access error. We got the same error in both CUDA 11.0 and 11.4.
Steps/Code to reproduce bug
Environment overview (please complete the following information)
gpuci/rapidsai:21.12-cuda11.0-devel-ubuntu18.04-py3.8mamba install -c nvidia -c rapidsai-nightly -c numba -c conda-forge cugraph=21.12Environment details
Click here to see environment details
**git*** commit 61b99df78f55436837a4e3c23ddd4e1ad39f80b9 (HEAD -> branch-21.12, origin/branch-21.12, origin/HEAD) Author: Seunghwa Kang <45857425+seunghwak@users.noreply.github.com> Date: Wed Oct 20 15:58:12 2021 -0400 Fix MG test bug (#1897) Close https://github.com/rapidsai/cugraph/issues/1896 Check num_edges == 0 before sorting adjacency list (num_chunks becomes -1 if num_edges = 0). Authors: - Seunghwa Kang (https://github.com/seunghwak) Approvers: - Chuck Hastings (https://github.com/ChuckHastings) URL: https://github.com/rapidsai/cugraph/pull/1897 **git submodules*** ***OS Information*** DISTRIB_ID=Ubuntu DISTRIB_RELEASE=18.04 DISTRIB_CODENAME=bionic DISTRIB_DESCRIPTION="Ubuntu 18.04.6 LTS" NAME="Ubuntu" VERSION="18.04.6 LTS (Bionic Beaver)" ID=ubuntu ID_LIKE=debian PRETTY_NAME="Ubuntu 18.04.6 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 EFAJARDO-DT 5.4.0-87-generic #98~18.04.1-Ubuntu SMP Wed Sep 22 10:45:04 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux ***GPU Information*** Mon Oct 25 16:36:42 2021 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 465.19.01 Driver Version: 465.19.01 CUDA Version: 11.3 | |-------------------------------+----------------------+----------------------+ | 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 Quadro R... On | 00000000:15:00.0 Off | Off | | 33% 38C P8 31W / 260W | 7500MiB / 48601MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| +-----------------------------------------------------------------------------+ ***CPU*** Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 12 On-line CPU(s) list: 0-11 Thread(s) per core: 2 Core(s) per socket: 6 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 85 Model name: Intel(R) Xeon(R) Gold 6128 CPU @ 3.40GHz Stepping: 4 CPU MHz: 1200.277 CPU max MHz: 3700.0000 CPU min MHz: 1200.0000 BogoMIPS: 6800.00 Virtualization: VT-x L1d cache: 32K L1i cache: 32K L2 cache: 1024K L3 cache: 19712K NUMA node0 CPU(s): 0-11 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*** /opt/conda/envs/rapids/bin/cmake cmake version 3.20.5 CMake suite maintained and supported by Kitware (kitware.com/cmake). ***g++*** /usr/local/bin/g++ g++ (Ubuntu 9.4.0-1ubuntu1~18.04) 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*** /usr/local/cuda/bin/nvcc nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2020 NVIDIA Corporation Built on Wed_Jul_22_19:09:09_PDT_2020 Cuda compilation tools, release 11.0, V11.0.221 Build cuda_11.0_bu.TC445_37.28845127_0 ***Python*** /opt/conda/envs/rapids/bin/python Python 3.8.12 ***Environment Variables*** PATH : /opt/conda/envs/rapids/bin:/opt/conda/condabin:/opt/conda/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/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/lib NUMBAPRO_NVVM : NUMBAPRO_LIBDEVICE : CONDA_PREFIX : /opt/conda/envs/rapids PYTHON_PATH : ***conda packages*** /opt/conda/envs/rapids/bin/conda # packages in environment at /opt/conda/envs/rapids: # # Name Version Build Channel _libgcc_mutex 0.1 conda_forge conda-forge _openmp_mutex 4.5 1_llvm conda-forge 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0.14.0 pyhd8ed1ab_0 conda-forge rfc3986 1.5.0 pyhd8ed1ab_0 conda-forge rhash 1.4.1 h7f98852_0 conda-forge ripgrep 13.0.0 habb4d0f_1 conda-forge rmm 21.12.00a211025 cuda_11.4_py38_gc781527_12 rapidsai-nightly rsa 4.7.2 pyh44b312d_0 conda-forge rtree 0.9.7 py38h02d302b_2 conda-forge ruamel_yaml 0.15.80 py38h497a2fe_1004 conda-forge s2n 1.0.10 h9b69904_0 conda-forge s3fs 2021.10.0 pyhd8ed1ab_0 conda-forge s3transfer 0.4.2 pyhd8ed1ab_0 conda-forge sacremoses 0.0.43 pyh9f0ad1d_0 conda-forge scikit-image 0.18.3 py38h43a58ef_0 conda-forge scikit-learn 0.24.2 py38hacb3eff_1 conda-forge scipy 1.6.0 py38hb2138dd_0 conda-forge seaborn 0.11.2 hd8ed1ab_0 conda-forge seaborn-base 0.11.2 pyhd8ed1ab_0 conda-forge secretstorage 3.3.1 py38h578d9bd_0 conda-forge send2trash 1.8.0 pyhd8ed1ab_0 conda-forge setuptools 49.6.0 py38h578d9bd_3 conda-forge shapely 1.7.1 py38hb7fe4a8_5 conda-forge shellcheck 0.7.2 ha770c72_1 conda-forge simpervisor 0.4 pyhd8ed1ab_0 conda-forge six 1.16.0 pyh6c4a22f_0 conda-forge snappy 1.1.8 he1b5a44_3 conda-forge sniffio 1.2.0 py38h578d9bd_1 conda-forge snowballstemmer 2.1.0 pyhd8ed1ab_0 conda-forge sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge soupsieve 2.0.1 py_1 conda-forge spdlog 1.8.5 h4bd325d_0 conda-forge sphinx 4.2.0 pyh6c4a22f_0 conda-forge sphinx-click 3.0.1 pyhd8ed1ab_0 conda-forge sphinx-copybutton 0.4.0 pyhd8ed1ab_0 conda-forge sphinx-markdown-tables 0.0.15 pyhd3deb0d_0 conda-forge sphinx_rtd_theme 1.0.0 pyhd8ed1ab_0 conda-forge sphinxcontrib-applehelp 1.0.2 py_0 conda-forge sphinxcontrib-devhelp 1.0.2 py_0 conda-forge sphinxcontrib-htmlhelp 2.0.0 pyhd8ed1ab_0 conda-forge sphinxcontrib-jsmath 1.0.1 py_0 conda-forge sphinxcontrib-qthelp 1.0.3 py_0 conda-forge sphinxcontrib-serializinghtml 1.1.5 pyhd8ed1ab_0 conda-forge sphinxcontrib-websupport 1.2.4 pyh9f0ad1d_0 conda-forge sqlite 3.36.0 h9cd32fc_2 conda-forge sshpubkeys 3.1.0 py_0 conda-forge statsmodels 0.13.0 py38h6c62de6_0 conda-forge streamz 0.6.3 pyh6c4a22f_0 conda-forge tbb 2020.2 h4bd325d_4 conda-forge tblib 1.7.0 pyhd8ed1ab_0 conda-forge terminado 0.12.1 py38h578d9bd_0 conda-forge testpath 0.5.0 pyhd8ed1ab_0 conda-forge threadpoolctl 3.0.0 pyh8a188c0_0 conda-forge tifffile 2021.10.12 pyhd8ed1ab_0 conda-forge tiledb 2.3.4 he87e0bf_0 conda-forge tk 8.6.11 h27826a3_1 conda-forge tokenizers 0.10.3 py38hb63a372_1 conda-forge toml 0.10.2 pyhd8ed1ab_0 conda-forge tomli 1.2.1 pyhd8ed1ab_0 conda-forge toolz 0.11.1 py_0 conda-forge tornado 6.1 py38h497a2fe_1 conda-forge tqdm 4.62.3 pyhd8ed1ab_0 conda-forge traitlets 5.1.0 pyhd8ed1ab_0 conda-forge transformers 4.6.1 pyhd8ed1ab_0 conda-forge treelite 2.1.0 py38hdd725b4_0 conda-forge treelite-runtime 2.1.0 pypi_0 pypi twine 3.4.2 pyhd8ed1ab_0 conda-forge typed-ast 1.4.3 py38h497a2fe_0 conda-forge typing-extensions 3.10.0.2 hd8ed1ab_0 conda-forge typing_extensions 3.10.0.2 pyha770c72_0 conda-forge tzcode 2021e h7f98852_0 conda-forge tzdata 2021d he74cb21_0 conda-forge ucx 1.11.1+gc58db6b cuda11.4_0 rapidsai-nightly ucx-proc 1.0.0 gpu rapidsai-nightly ucx-py 0.23.0a211025 py38_gc58db6b_17 rapidsai-nightly umap-learn 0.5.1 py38h578d9bd_1 conda-forge urllib3 1.26.7 pyhd8ed1ab_0 conda-forge virtualenv 20.4.7 py38h578d9bd_0 conda-forge wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge webencodings 0.5.1 py_1 conda-forge websocket-client 0.57.0 py38h578d9bd_4 conda-forge websockets 9.1 py38h497a2fe_0 conda-forge werkzeug 2.0.1 pyhd8ed1ab_0 conda-forge wheel 0.37.0 pyhd8ed1ab_1 conda-forge widgetsnbextension 3.5.1 py38h578d9bd_4 conda-forge wrapt 1.13.2 py38h497a2fe_0 conda-forge xarray 0.19.0 pyhd8ed1ab_1 conda-forge xerces-c 3.2.3 h9d8b166_3 conda-forge xmltodict 0.12.0 py_0 conda-forge xorg-kbproto 1.0.7 h7f98852_1002 conda-forge xorg-libice 1.0.10 h7f98852_0 conda-forge xorg-libsm 1.2.3 hd9c2040_1000 conda-forge xorg-libx11 1.7.2 h7f98852_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 h7f98852_1 conda-forge xorg-libxrender 0.9.10 h7f98852_1003 conda-forge xorg-renderproto 0.11.1 h7f98852_1002 conda-forge xorg-xextproto 7.3.0 h7f98852_1002 conda-forge xorg-xproto 7.0.31 h7f98852_1007 conda-forge xz 5.2.5 h516909a_1 conda-forge yaml 0.2.5 h516909a_0 conda-forge yarl 1.7.0 py38h497a2fe_0 conda-forge zeromq 4.3.4 h9c3ff4c_1 conda-forge zfp 0.5.5 h9c3ff4c_7 conda-forge zict 2.0.0 py_0 conda-forge zipp 3.6.0 pyhd8ed1ab_0 conda-forge zlib 1.2.11 h36c2ea0_1013 conda-forge zstd 1.5.0 ha95c52a_0 conda-forgeAdditional context Discovered this in CLX nightly build where we use cuGraph Louvain in our Network Mapping demo notebook.