rapidsai / cugraph

cuGraph - RAPIDS Graph Analytics Library
https://docs.rapids.ai/api/cugraph/stable/
Apache License 2.0
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[BUG] `DiGraph.from_cudf_edgelist` gives RuntimeError in WSL2 #2181

Closed charlesbluca closed 2 years ago

charlesbluca commented 2 years ago

Describe the bug I am testing uvm.ipynb and encounter a RuntimeError on the "Create a graph" block on the call to DiGraph.from_cudf_edgelist.

Steps/Code to reproduce bug

docker run --gpus all -p 8888:8888 -p 8787:8787 -p 8786:8786 rapidsai/rapidsai-core-dev-nightly:22.04-cuda11.5-devel-ubuntu20.04-py3.9
RuntimeError                              Traceback (most recent call last)
/tmp/ipykernel_880/2100785236.py in <module>
      3 # Create a directed graph using the source (src) and destination (dst) vertex pairs from the Dataframe
      4 G = cugraph.DiGraph()
----> 5 G.from_cudf_edgelist(e_list, source='src', destination='dst', renumber=False)
      6 
      7 # (optional) request the transposed here so that we can analyse pagerank solver time alone

/opt/conda/envs/rapids/lib/python3.9/site-packages/cugraph-0+untagged.1.g87be0b3-py3.9-linux-x86_64.egg/cugraph/structure/graph_classes.py in from_cudf_edgelist(self, input_df, source, destination, edge_attr, renumber)
    144               self._Impl.adjlist is not None):
    145             raise RuntimeError("Graph already has values")
--> 146         self._Impl._simpleGraphImpl__from_edgelist(input_df,
    147                                                    source=source,
    148                                                    destination=destination,

/opt/conda/envs/rapids/lib/python3.9/site-packages/cugraph-0+untagged.1.g87be0b3-py3.9-linux-x86_64.egg/cugraph/structure/graph_implementation/simpleGraph.py in __from_edgelist(self, input_df, source, destination, edge_attr, renumber)
    169                 value_col = value_dict
    170         else:
--> 171             source_col, dest_col = symmetrize(
    172                 source_col, dest_col, multi=self.properties.multi_edge,
    173                 symmetrize=not self.properties.directed)

/opt/conda/envs/rapids/lib/python3.9/site-packages/cugraph-0+untagged.1.g87be0b3-py3.9-linux-x86_64.egg/cugraph/structure/symmetrize.py in symmetrize(source_col, dest_col, value_col, multi, symmetrize)
    239         ).persist()
    240     else:
--> 241         output_df = symmetrize_df(input_df, "source", "destination", multi,
    242                                   symmetrize)
    243     if value_col is not None:

/opt/conda/envs/rapids/lib/python3.9/site-packages/cugraph-0+untagged.1.g87be0b3-py3.9-linux-x86_64.egg/cugraph/structure/symmetrize.py in symmetrize_df(df, src_name, dst_name, multi, symmetrize)
     88         return gdf
     89     else:
---> 90         return gdf.groupby(by=[src_name, dst_name], as_index=False).min()
     91 
     92 

/opt/conda/envs/rapids/lib/python3.9/site-packages/cudf/core/mixins/mixin_factory.py in wrapper(self, *args2, **kwargs2)
      9 def _partialmethod(method, *args1, **kwargs1):
     10     def wrapper(self, *args2, **kwargs2):
---> 11         return method(self, *args1, *args2, **kwargs1, **kwargs2)
     12 
     13     return wrapper

/opt/conda/envs/rapids/lib/python3.9/site-packages/cudf/core/groupby/groupby.py in _reduce(self, op, numeric_only, min_count, *args, **kwargs)
    364                 "min_count parameter is not implemented yet"
    365             )
--> 366         return self.agg(op)
    367 
    368     def _scan(self, op: str, *args, **kwargs):

/opt/conda/envs/rapids/lib/python3.9/contextlib.py in inner(*args, **kwds)
     77         def inner(*args, **kwds):
     78             with self._recreate_cm():
---> 79                 return func(*args, **kwds)
     80         return inner
     81 

/opt/conda/envs/rapids/lib/python3.9/site-packages/cudf/core/groupby/groupby.py in agg(self, func)
    291             grouped_key_cols,
    292             included_aggregations,
--> 293         ) = self._groupby.aggregate(columns, normalized_aggs)
    294 
    295         result_index = self.grouping.keys._from_columns_like_self(

cudf/_lib/groupby.pyx in cudf._lib.groupby.GroupBy.aggregate()

cudf/_lib/groupby.pyx in cudf._lib.groupby.GroupBy.aggregate_internal()

RuntimeError: CUDA error encountered at: /rapids/cudf/cpp/src/hash/concurrent_unordered_map.cuh:536: 101 cudaErrorInvalidDevice invalid device ordinal

Expected behavior Running the steps above on a DGX1, I am able to complete the entire notebook without issue

Environment overview (please complete the following information)

docker run --gpus all -p 8888:8888 -p 8787:8787 -p 8786:8786 rapidsai/rapidsai-core-dev-nightly:22.04-cuda11.5-devel-ubuntu20.04-py3.9

Environment details

Click here to see environment details

     **git***
print_env.sh: 10: [: true: unexpected operator
     Not inside a git repository

     ***OS Information***
     DISTRIB_ID=Ubuntu
     DISTRIB_RELEASE=20.04
     DISTRIB_CODENAME=focal
     DISTRIB_DESCRIPTION="Ubuntu 20.04.4 LTS"
     NAME="Ubuntu"
     VERSION="20.04.4 LTS (Focal Fossa)"
     ID=ubuntu
     ID_LIKE=debian
     PRETTY_NAME="Ubuntu 20.04.4 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 4ab1a0161978 5.10.102.1-microsoft-standard-WSL2 #1 SMP Wed Mar 2 00:30:59 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux

     ***GPU Information***
     Thu Mar 31 15:07:04 2022
     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 510.47.03    Driver Version: 511.65       CUDA Version: 11.6     |
     |-------------------------------+----------------------+----------------------+
     | 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  Quadro RTX 8000     On   | 00000000:15:00.0 Off |                  Off |
     | 34%   32C    P8    18W / 260W |    823MiB / 49152MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   1  Quadro RTX 8000     On   | 00000000:2D:00.0  On |                  Off |
     | 34%   60C    P0    72W / 260W |   1965MiB / 49152MiB |     16%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+

     +-----------------------------------------------------------------------------+
     | Processes:                                                                  |
     |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
     |        ID   ID                                                   Usage      |
     |=============================================================================|
     |    0   N/A  N/A       880      C   /python3.9                      N/A      |
     |    1   N/A  N/A       880      C   /python3.9                      N/A      |
     +-----------------------------------------------------------------------------+

     ***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):                          12
     On-line CPU(s) list:             0-11
     Thread(s) per core:              2
     Core(s) per socket:              6
     Socket(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:                         3391.499
     BogoMIPS:                        6782.99
     Virtualization:                  VT-x
     Hypervisor vendor:               Microsoft
     Virtualization type:             full
     L1d cache:                       192 KiB
     L1i cache:                       192 KiB
     L2 cache:                        6 MiB
     L3 cache:                        19.3 MiB
     Vulnerability Itlb multihit:     KVM: Mitigation: VMX disabled
     Vulnerability L1tf:              Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable
     Vulnerability Mds:               Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
     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; Full generic retpoline, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling
     Vulnerability Srbds:             Not affected
     Vulnerability Tsx async abort:   Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
     Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology tsc_reliable nonstop_tsc cpuid pni pclmulqdq vmx ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single pti ssbd ibrs ibpb stibp tpr_shadow vnmi ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves flush_l1d arch_capabilities

     ***CMake***
     /opt/conda/envs/rapids/bin/cmake
     cmake version 3.20.5

     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***
     /usr/local/cuda/bin/nvcc
     nvcc: NVIDIA (R) Cuda compiler driver
     Copyright (c) 2005-2021 NVIDIA Corporation
     Built on Thu_Nov_18_09:45:30_PST_2021
     Cuda compilation tools, release 11.5, V11.5.119
     Build cuda_11.5.r11.5/compiler.30672275_0

     ***Python***
     /opt/conda/envs/rapids/bin/python
     Python 3.9.12

     ***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:/opt/conda/envs/rapids/lib
     NUMBAPRO_NVVM                   :
     NUMBAPRO_LIBDEVICE              :
     CONDA_PREFIX                    : /opt/conda/envs/rapids
     PYTHON_PATH                     :

     ***conda packages***
     conda is /opt/conda/envs/rapids/bin/conda
     /opt/conda/envs/rapids/bin/conda
     # packages in environment at /opt/conda/envs/rapids:
     #
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     glib                      2.70.2               h780b84a_4    conda-forge
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     gtest                     1.10.0               h4bd325d_7    conda-forge
     gtk2                      2.24.33              h539f30e_1    conda-forge
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     hdf4                      4.2.15               h10796ff_3    conda-forge
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     heapdict                  1.0.1                      py_0    conda-forge
     holoviews                 1.14.6             pyhd8ed1ab_0    conda-forge
     html5lib                  1.1                pyh9f0ad1d_0    conda-forge
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     icu                       68.2                 h9c3ff4c_0    conda-forge
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     imagecodecs               2021.8.26        py39h44211f0_1    conda-forge
     imageio                   2.16.1             pyhcf75d05_0    conda-forge
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     importlib-metadata        4.11.3           py39hf3d152e_0    conda-forge
     importlib_metadata        4.11.3               hd8ed1ab_0    conda-forge
     iniconfig                 1.1.1              pyh9f0ad1d_0    conda-forge
     ipykernel                 6.9.2            py39hef51801_0    conda-forge
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     ipython_genutils          0.2.0                      py_1    conda-forge
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     jbig                      2.1               h7f98852_2003    conda-forge
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     jinja2                    3.1.1              pyhd8ed1ab_0    conda-forge
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     joblib                    1.1.0              pyhd8ed1ab_0    conda-forge
     jpeg                      9e                   h7f98852_0    conda-forge
     json-c                    0.15                 h98cffda_0    conda-forge
     json5                     0.9.5              pyh9f0ad1d_0    conda-forge
     jsondiff                  1.3.1              pyhd8ed1ab_0    conda-forge
     jsonpatch                 1.32               pyhd8ed1ab_0    conda-forge
     jsonpointer               2.0                        py_0    conda-forge
     jsonschema                3.2.0              pyhd8ed1ab_3    conda-forge
     junit-xml                 1.9                pyh9f0ad1d_0    conda-forge
     jupyter-packaging         0.7.12             pyhd8ed1ab_0    conda-forge
     jupyter-server-proxy      3.2.1              pyhd8ed1ab_0    conda-forge
     jupyter_client            7.1.2              pyhd8ed1ab_0    conda-forge
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     jupyterlab                3.3.2              pyhd8ed1ab_0    conda-forge
     jupyterlab-favorites      3.0.0              pyhd8ed1ab_0    conda-forge
     jupyterlab-nvdashboard    0.7.0a220307              py_21    rapidsai-nightly
     jupyterlab_pygments       0.1.2              pyh9f0ad1d_0    conda-forge
     jupyterlab_server         2.11.0             pyhd8ed1ab_0    conda-forge
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     jxrlib                    1.1                  h7f98852_2    conda-forge
     kealib                    1.4.14               h87e4c3c_3    conda-forge
     kernel-headers_linux-64   2.6.32              he073ed8_15    conda-forge
     keyring                   23.4.0           py39hf3d152e_2    conda-forge
     keyutils                  1.6.1                h166bdaf_0    conda-forge
     kiwisolver                1.4.0            py39hf939315_0    conda-forge
     krb5                      1.19.3               h3790be6_0    conda-forge
     lapack                    3.9.0                    netlib    conda-forge
     lcms2                     2.12                 hddcbb42_0    conda-forge
     ld_impl_linux-64          2.36.1               hea4e1c9_2    conda-forge
     lerc                      3.0                  h9c3ff4c_0    conda-forge
     libaec                    1.0.6                h9c3ff4c_0    conda-forge
     libarchive                3.5.2                hccf745f_1    conda-forge
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     libcblas                  3.9.0           5_h92ddd45_netlib    conda-forge
     libclang-cpp11.1          11.1.0          default_ha53f305_1    conda-forge
     libcrc32c                 1.1.2                h9c3ff4c_0    conda-forge
     libcugraphops             22.04.00a220329 cuda11_g91ab46e_30    rapidsai-nightly
     libcumlprims              22.04.00a220324 cuda11_g99e8d8f_15    rapidsai-nightly
     libcurl                   7.82.0               h7bff187_0    conda-forge
     libcusolver               11.3.4.124           h33c3c4e_0    nvidia
     libcypher-parser          0.6.2                         1    rapidsai-nightly
     libdap4                   3.20.6               hd7c4107_2    conda-forge
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     libedit                   3.1.20191231         he28a2e2_2    conda-forge
     libev                     4.33                 h516909a_1    conda-forge
     libevent                  2.1.10               h9b69904_4    conda-forge
     libfaiss                  1.7.0           cuda112h5bea7ad_8_cuda    conda-forge
     libffi                    3.4.2                h7f98852_5    conda-forge
     libgcc-devel_linux-64     11.2.0              h0952999_14    conda-forge
     libgcc-ng                 11.2.0              h1d223b6_14    conda-forge
     libgcrypt                 1.10.0               h7f98852_0    conda-forge
     libgd                     2.3.3                h6ad9fb6_0    conda-forge
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     libllvm11                 11.1.0               hf817b99_3    conda-forge
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     librmm                    22.04.00a220329 cuda11_g220ba88_44    rapidsai-nightly
     librsvg                   2.52.5               hc3c00ef_1    conda-forge
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     llvmlite                  0.38.0           py39h1bbdace_0    conda-forge
     locket                    0.2.1                    pypi_0    pypi
     lz4-c                     1.9.3                h9c3ff4c_1    conda-forge
     lzo                       2.10              h516909a_1000    conda-forge
     m4                        1.4.18            h516909a_1001    conda-forge
     make                      4.3                  hd18ef5c_1    conda-forge
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     mccabe                    0.6.1                      py_1    conda-forge
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     mock                      4.0.3            py39hf3d152e_2    conda-forge
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     py                        1.11.0             pyh6c4a22f_0    conda-forge
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     requests                  2.27.1             pyhd8ed1ab_0    conda-forge
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     requests-toolbelt         0.9.1                      py_0    conda-forge
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     rmm                       0+untagged.1.g220ba88          pypi_0    pypi
     rsa                       4.8                pyhd8ed1ab_0    conda-forge
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     s3transfer                0.5.2              pyhd8ed1ab_0    conda-forge
     sacremoses                0.0.49             pyhd8ed1ab_0    conda-forge
     sccache                   0.2.15               h9b69904_1    conda-forge
     scikit-build              0.13.1             pyhca92ed8_0    conda-forge
     scikit-image              0.19.2           py39hde0f152_0    conda-forge
     scikit-learn              0.24.2           py39h7c5d8c9_1    conda-forge
     scipy                     1.6.0            py39hee8e79c_0    conda-forge
     seaborn                   0.11.2               hd8ed1ab_0    conda-forge
     seaborn-base              0.11.2             pyhd8ed1ab_0    conda-forge
     secretstorage             3.3.1            py39hf3d152e_1    conda-forge
     send2trash                1.8.0              pyhd8ed1ab_0    conda-forge
     setuptools                59.8.0           py39hf3d152e_0    conda-forge
     shapely                   1.8.0            py39ha61afbd_0    conda-forge
     shellcheck                0.8.0                ha770c72_0    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            py39hf3d152e_2    conda-forge
     snowballstemmer           2.2.0              pyhd8ed1ab_0    conda-forge
     sortedcontainers          2.4.0              pyhd8ed1ab_0    conda-forge
     soupsieve                 2.3.1              pyhd8ed1ab_0    conda-forge
     spdlog                    1.8.5                h4bd325d_1    conda-forge
     sphinx                    4.4.0              pyh6c4a22f_1    conda-forge
     sphinx-click              3.1.0              pyhd8ed1ab_0    conda-forge
     sphinx-copybutton         0.5.0              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_1    conda-forge
     sphinxcontrib-websupport  1.2.4              pyhd8ed1ab_1    conda-forge
     sqlite                    3.37.1               h4ff8645_0    conda-forge
     sshpubkeys                3.1.0                      py_0    conda-forge
     statsmodels               0.13.2           py39hce5d2b2_0    conda-forge
     streamz                   0.6.3              pyh6c4a22f_0    conda-forge
     sysroot_linux-64          2.12                he073ed8_15    conda-forge
     tbb                       2021.5.0             h4bd325d_0    conda-forge
     tblib                     1.7.0              pyhd8ed1ab_0    conda-forge
     terminado                 0.13.3           py39hf3d152e_0    conda-forge
     testpath                  0.6.0              pyhd8ed1ab_0    conda-forge
     threadpoolctl             3.1.0              pyh8a188c0_0    conda-forge
     tifffile                  2021.11.2          pyhd8ed1ab_0    conda-forge
     tiledb                    2.3.4                he87e0bf_0    conda-forge
     tk                        8.6.12               h27826a3_0    conda-forge
     tokenizers                0.10.3           py39hd6d55de_1    conda-forge
     toml                      0.10.2             pyhd8ed1ab_0    conda-forge
     tomli                     2.0.1              pyhd8ed1ab_0    conda-forge
     toolz                     0.11.2             pyhd8ed1ab_0    conda-forge
     tornado                   6.1              py39h3811e60_2    conda-forge
     tqdm                      4.63.1             pyhd8ed1ab_0    conda-forge
     traitlets                 5.1.1              pyhd8ed1ab_0    conda-forge
     transformers              4.6.1              pyhd8ed1ab_0    conda-forge
     treelite                  2.3.0            py39heaea588_0    conda-forge
     treelite-runtime          2.3.0                    pypi_0    pypi
     twine                     3.8.0              pyhd8ed1ab_0    conda-forge
     typed-ast                 1.4.3            py39h3811e60_1    conda-forge
     typing-extensions         4.1.1                hd8ed1ab_0    conda-forge
     typing_extensions         4.1.1              pyha770c72_0    conda-forge
     tzcode                    2022a                h166bdaf_0    conda-forge
     tzdata                    2022a                h191b570_0    conda-forge
     ucx                       1.12.0+gd367332      cuda11.2_0    rapidsai-nightly
     ucx-proc                  1.0.0                       gpu    rapidsai-nightly
     ucx-py                    0.25.00a220328  py39_gd367332_13    rapidsai-nightly
     ukkonen                   1.0.1            py39h1a9c180_1    conda-forge
     umap-learn                0.5.2            py39hf3d152e_1    conda-forge
     unicodedata2              14.0.0           py39h3811e60_0    conda-forge
     urllib3                   1.26.9             pyhd8ed1ab_0    conda-forge
     virtualenv                20.14.0          py39hf3d152e_0    conda-forge
     wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
     webencodings              0.5.1                      py_1    conda-forge
     websocket-client          1.3.1              pyhd8ed1ab_0    conda-forge
     websockets                10.2             py39hb9d737c_0    conda-forge
     werkzeug                  2.0.3              pyhd8ed1ab_1    conda-forge
     wheel                     0.37.1             pyhd8ed1ab_0    conda-forge
     widgetsnbextension        3.6.0            py39hf3d152e_0    conda-forge
     wrapt                     1.14.0           py39hb9d737c_0    conda-forge
     xarray                    2022.3.0           pyhd8ed1ab_0    conda-forge
     xerces-c                  3.2.3                h9d8b166_3    conda-forge
     xgboost                   1.5.2                    pypi_0    pypi
     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                h7f98852_2    conda-forge
     yarl                      1.7.2            py39h3811e60_1    conda-forge
     zeromq                    4.3.4                h9c3ff4c_1    conda-forge
     zfp                       0.5.5                h9c3ff4c_8    conda-forge
     zict                      2.1.0              pyhd8ed1ab_0    conda-forge
     zipp                      3.7.0              pyhd8ed1ab_1    conda-forge
     zlib                      1.2.11            h166bdaf_1014    conda-forge
     zstd                      1.5.2                ha95c52a_0    conda-forge

github-actions[bot] commented 2 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.

BradReesWork commented 2 years ago

being closed since cuGraph does not yet formally support WSL