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rapidsai / cugraph

cuGraph - RAPIDS Graph Analytics Library
https://docs.rapids.ai/api/cugraph/stable/
Apache License 2.0
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[BUG]: Graph Creation Warnings #4163

Open nv-rliu opened 9 months ago

nv-rliu commented 9 months ago

Version

24.04

Which installation method(s) does this occur on?

Conda

Describe the bug.

There should not be a FutureWarning output. It looks like it is coming from structure/number_map.py and structure/symetrize.py that is called during Graph creation

Minimum reproducible example

from cugraph.datasets import karate

karate.get_graph(download=True)

Relevant log output

/home/nfs/ralphl/miniforge3/envs/test-24.04/lib/python3.10/site-packages/cugraph/structure/number_map.py:500: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
  unrenumbered_id_type = df.dtypes[0]

/home/nfs/ralphl/miniforge3/envs/test-24.04/lib/python3.10/site-packages/cugraph/structure/symmetrize.py:93: FutureWarning: Multi is deprecated and the removal of multi edges will no longer be supported from 'symmetrize'. Multi edges will be removed upon creation of graph instance.
  warnings.warn(

Environment details

<details><summary>Click here to see environment details</summary><pre>

     **git***
     commit 38a8cdbb369a398a9688acb84c41015b92b7fd0e (HEAD -> branch-24.04, origin/branch-24.04)
     Author: Seunghwa Kang <45857425+seunghwak@users.noreply.github.com>
     Date:   Fri Feb 9 13:34:23 2024 -0800

     Address primitives performance regression with the added edge masking support (when edge masking is not in use) (#4119)

     This addresses performance regression due to the added edge masking support when edge masking is disabled.

     We addressed the issue for `per_v_transform_reduce_incoming|outgoing_e` in https://github.com/rapidsai/cugraph/pull/4085

     Using a similar approach, we address the issue for `transform_e`, `transform_reduce_e`, and `detail::nbr_intersection` in this PR.

     Authors:
     - Seunghwa Kang (https://github.com/seunghwak)

     Approvers:
     - Chuck Hastings (https://github.com/ChuckHastings)
     - Naim (https://github.com/naimnv)

     URL: https://github.com/rapidsai/cugraph/pull/4119
     **git submodules***

     ***OS Information***
     DGX_NAME="DGX Server"
     DGX_PRETTY_NAME="NVIDIA DGX Server"
     DGX_SWBUILD_DATE="2023-03-27-13-31-04"
     DGX_SWBUILD_VERSION="5.5.0"
     DGX_COMMIT_ID="b2e06e0"
     DGX_PLATFORM="DGX Server for DGX-1"
     DGX_SERIAL_NUMBER="QTFCOU8310012"
     DISTRIB_ID=Ubuntu
     DISTRIB_RELEASE=20.04
     DISTRIB_CODENAME=focal
     DISTRIB_DESCRIPTION="Ubuntu 20.04.6 LTS"
     NAME="Ubuntu"
     VERSION="20.04.6 LTS (Focal Fossa)"
     ID=ubuntu
     ID_LIKE=debian
     PRETTY_NAME="Ubuntu 20.04.6 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 dgx16 5.4.0-149-generic #166-Ubuntu SMP Tue Apr 18 16:51:45 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux

     ***GPU Information***
     Mon Feb 12 09:46:42 2024
     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 525.105.17   Driver Version: 525.105.17   CUDA Version: 12.0     |
     |-------------------------------+----------------------+----------------------+
     | 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 V100-SXM2...  On   | 00000000:06:00.0 Off |                    0 |
     | N/A   34C    P0    57W / 300W |  10243MiB / 32768MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   1  Tesla V100-SXM2...  On   | 00000000:07:00.0 Off |                    0 |
     | N/A   35C    P0    57W / 300W |   2495MiB / 32768MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   2  Tesla V100-SXM2...  On   | 00000000:0A:00.0 Off |                    0 |
     | N/A   33C    P0    57W / 300W |   2391MiB / 32768MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   3  Tesla V100-SXM2...  On   | 00000000:0B:00.0 Off |                    0 |
     | N/A   33C    P0    57W / 300W |   2419MiB / 32768MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   4  Tesla V100-SXM2...  On   | 00000000:85:00.0 Off |                    0 |
     | N/A   35C    P0    59W / 300W |   2463MiB / 32768MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   5  Tesla V100-SXM2...  On   | 00000000:86:00.0 Off |                    0 |
     | N/A   34C    P0    56W / 300W |   2455MiB / 32768MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   6  Tesla V100-SXM2...  On   | 00000000:89:00.0 Off |                    0 |
     | N/A   35C    P0    58W / 300W |   2479MiB / 32768MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   7  Tesla V100-SXM2...  On   | 00000000:8A:00.0 Off |                    0 |
     | N/A   35C    P0    56W / 300W |   2431MiB / 32768MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+

     +-----------------------------------------------------------------------------+
     | Processes:                                                                  |
     |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
     |        ID   ID                                                   Usage      |
     |=============================================================================|
     |    0   N/A  N/A   2393455      C   /opt/conda/bin/python3.10         752MiB |
     |    0   N/A  N/A   2393658      C   /opt/conda/bin/python3.10        5560MiB |
     |    0   N/A  N/A   3344119      C   ...forge3/envs/cd/bin/python     1486MiB |
     |    0   N/A  N/A   3344541      C   ...forge3/envs/cd/bin/python     2440MiB |
     |    1   N/A  N/A   3344546      C   ...forge3/envs/cd/bin/python     2492MiB |
     |    2   N/A  N/A   3344551      C   ...forge3/envs/cd/bin/python     2388MiB |
     |    3   N/A  N/A   3344554      C   ...forge3/envs/cd/bin/python     2416MiB |
     |    4   N/A  N/A   3344558      C   ...forge3/envs/cd/bin/python     2460MiB |
     |    5   N/A  N/A   3344563      C   ...forge3/envs/cd/bin/python     2452MiB |
     |    6   N/A  N/A   3344566      C   ...forge3/envs/cd/bin/python     2476MiB |
     |    7   N/A  N/A   3344569      C   ...forge3/envs/cd/bin/python     2428MiB |
     +-----------------------------------------------------------------------------+

     ***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):                          80
     On-line CPU(s) list:             0-79
     Thread(s) per core:              2
     Core(s) per socket:              20
     Socket(s):                       2
     NUMA node(s):                    2
     Vendor ID:                       GenuineIntel
     CPU family:                      6
     Model:                           79
     Model name:                      Intel(R) Xeon(R) CPU E5-2698 v4 @ 2.20GHz
     Stepping:                        1
     CPU MHz:                         2772.303
     CPU max MHz:                     3600.0000
     CPU min MHz:                     1200.0000
     BogoMIPS:                        4390.25
     Virtualization:                  VT-x
     L1d cache:                       1.3 MiB
     L1i cache:                       1.3 MiB
     L2 cache:                        10 MiB
     L3 cache:                        100 MiB
     NUMA node0 CPU(s):               0-19,40-59
     NUMA node1 CPU(s):               20-39,60-79
     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 Mmio stale data:   Mitigation; Clear CPU buffers; SMT vulnerable
     Vulnerability Retbleed:          Not affected
     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, PBRSB-eIBRS Not affected
     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 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 ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a rdseed adx smap intel_pt xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts md_clear flush_l1d

     ***CMake***
     /home/nfs/ralphl/miniforge3/envs/test-24.04/bin/cmake
     cmake version 3.28.3

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

     ***g++***
     /home/nfs/ralphl/miniforge3/envs/test-24.04/bin/g++
     g++ (conda-forge gcc 11.4.0-5) 11.4.0
     Copyright (C) 2021 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***
     /home/nfs/ralphl/miniforge3/envs/test-24.04/bin/nvcc
/home/nfs/ralphl/miniforge3/envs/test-24.04/bin/nvcc: line 9: /bin/nvcc: No such file or directory

     ***Python***
     /home/nfs/ralphl/miniforge3/envs/test-24.04/bin/python
     Python 3.10.13

     ***Environment Variables***
     PATH                            : /home/nfs/ralphl/miniforge3/envs/test-24.04/bin:/home/nfs/ralphl/miniforge3/condabin:/home/nfs/ralphl/.vscode-server/bin/05047486b6df5eb8d44b2ecd70ea3bdf775fd937/bin/remote-cli:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
     LD_LIBRARY_PATH                 :
     NUMBAPRO_NVVM                   :
     NUMBAPRO_LIBDEVICE              :
     CONDA_PREFIX                    : /home/nfs/ralphl/miniforge3/envs/test-24.04
     PYTHON_PATH                     :

     ***conda packages***
     /home/nfs/ralphl/miniforge3/condabin/conda
     # packages in environment at /home/nfs/ralphl/miniforge3/envs/test-24.04:
     #
     # Name                    Version                   Build  Channel
     _libgcc_mutex             0.1                 conda_forge    conda-forge
     _openmp_mutex             4.5                       2_gnu    conda-forge
     _sysroot_linux-64_curr_repodata_hack 3                   h69a702a_13    conda-forge
     accessible-pygments       0.0.4              pyhd8ed1ab_0    conda-forge
     aiohttp                   3.9.3           py310h2372a71_0    conda-forge
     aiosignal                 1.3.1              pyhd8ed1ab_0    conda-forge
     alabaster                 0.7.16             pyhd8ed1ab_0    conda-forge
     anyio                     4.2.0              pyhd8ed1ab_0    conda-forge
     argon2-cffi               23.1.0             pyhd8ed1ab_0    conda-forge
     argon2-cffi-bindings      21.2.0          py310h2372a71_4    conda-forge
     arrow                     1.3.0              pyhd8ed1ab_0    conda-forge
     asttokens                 2.4.1              pyhd8ed1ab_0    conda-forge
     async-lru                 2.0.4              pyhd8ed1ab_0    conda-forge
     async-timeout             4.0.3              pyhd8ed1ab_0    conda-forge
     atk-1.0                   2.38.0               hd4edc92_1    conda-forge
     attrs                     23.2.0             pyh71513ae_0    conda-forge
     aws-c-auth                0.7.15               h70caa3e_0    conda-forge
     aws-c-cal                 0.6.9                h14ec70c_3    conda-forge
     aws-c-common              0.9.12               hd590300_0    conda-forge
     aws-c-compression         0.2.17               h572eabf_8    conda-forge
     aws-c-event-stream        0.4.1                h17cd1f3_5    conda-forge
     aws-c-http                0.8.0                hc6da83f_5    conda-forge
     aws-c-io                  0.14.3               h3c8c088_1    conda-forge
     aws-c-mqtt                0.10.1               h0ef3971_3    conda-forge
     aws-c-s3                  0.5.0                h1b46bed_2    conda-forge
     aws-c-sdkutils            0.1.14               h572eabf_0    conda-forge
     aws-checksums             0.1.17               h572eabf_7    conda-forge
     aws-crt-cpp               0.26.1               h33f84b2_9    conda-forge
     aws-sdk-cpp               1.11.242             h65f022c_0    conda-forge
     babel                     2.14.0             pyhd8ed1ab_0    conda-forge
     beautifulsoup4            4.12.3             pyha770c72_0    conda-forge
     binutils                  2.40                 hdd6e379_0    conda-forge
     binutils_impl_linux-64    2.40                 hf600244_0    conda-forge
     binutils_linux-64         2.40                 hbdbef99_2    conda-forge
     bleach                    6.1.0              pyhd8ed1ab_0    conda-forge
     bokeh                     3.3.4              pyhd8ed1ab_0    conda-forge
     breathe                   4.35.0             pyhd8ed1ab_1    conda-forge
     brotli                    1.1.0                hd590300_1    conda-forge
     brotli-bin                1.1.0                hd590300_1    conda-forge
     brotli-python             1.1.0           py310hc6cd4ac_1    conda-forge
     bzip2                     1.0.8                hd590300_5    conda-forge
     c-ares                    1.26.0               hd590300_0    conda-forge
     c-compiler                1.5.2                h0b41bf4_0    conda-forge
     ca-certificates           2024.2.2             hbcca054_0    conda-forge
     cached-property           1.5.2                hd8ed1ab_1    conda-forge
     cached_property           1.5.2              pyha770c72_1    conda-forge
     cachetools                5.3.2              pyhd8ed1ab_0    conda-forge
     cairo                     1.18.0               h3faef2a_0    conda-forge
     certifi                   2024.2.2           pyhd8ed1ab_0    conda-forge
     cffi                      1.16.0          py310h2fee648_0    conda-forge
     cfgv                      3.3.1              pyhd8ed1ab_0    conda-forge
     charset-normalizer        3.3.2              pyhd8ed1ab_0    conda-forge
     click                     8.1.7           unix_pyh707e725_0    conda-forge
     cloudpickle               3.0.0              pyhd8ed1ab_0    conda-forge
     cmake                     3.28.3               hcfe8598_0    conda-forge
     colorama                  0.4.6              pyhd8ed1ab_0    conda-forge
     comm                      0.2.1              pyhd8ed1ab_0    conda-forge
     commonmark                0.9.1                      py_0    conda-forge
     contourpy                 1.2.0           py310hd41b1e2_0    conda-forge
     coverage                  7.4.1           py310h2372a71_0    conda-forge
     cubinlinker               0.3.0           py310hfdf336d_0    rapidsai
     cuda-profiler-api         11.8.86                       0    nvidia
     cuda-python               11.8.3          py310h70a93da_0    conda-forge
     cuda-version              11.8                 h70ddcb2_2    conda-forge
     cudatoolkit               11.8.0              h4ba93d1_13    conda-forge
     cudf                      24.04.00a389    cuda11_py310_240212_g630c885001_389    rapidsai-nightly
     cugraph                   24.04.00a43     cuda11_py310_240212_g38a8cdbb3_43    rapidsai-nightly
     cupy                      13.0.0          py310h189a05f_3    conda-forge
     cupy-core                 13.0.0          py310h506062a_3    conda-forge
     cxx-compiler              1.5.2                hf52228f_0    conda-forge
     cycler                    0.12.1             pyhd8ed1ab_0    conda-forge
     cython                    3.0.8           py310hc6cd4ac_0    conda-forge
     cytoolz                   0.12.3          py310h2372a71_0    conda-forge
     dask                      2024.1.1           pyhd8ed1ab_0    conda-forge
     dask-core                 2024.1.1           pyhd8ed1ab_0    conda-forge
     dask-cuda                 24.04.00a3      py310_240212_g364eba8_3    rapidsai-nightly
     dask-cudf                 24.04.00a389    cuda11_py310_240212_g630c885001_389    rapidsai-nightly
     debugpy                   1.8.1           py310hc6cd4ac_0    conda-forge
     decorator                 5.1.1              pyhd8ed1ab_0    conda-forge
     defusedxml                0.7.1              pyhd8ed1ab_0    conda-forge
     distlib                   0.3.8              pyhd8ed1ab_0    conda-forge
     distributed               2024.1.1           pyhd8ed1ab_0    conda-forge
     dlpack                    0.5                  h9c3ff4c_0    conda-forge
     docutils                  0.19            py310hff52083_1    conda-forge
     doxygen                   1.10.0               h661eb56_0    conda-forge
     entrypoints               0.4                pyhd8ed1ab_0    conda-forge
     exceptiongroup            1.2.0              pyhd8ed1ab_2    conda-forge
     execnet                   2.0.2              pyhd8ed1ab_0    conda-forge
     executing                 2.0.1              pyhd8ed1ab_0    conda-forge
     expat                     2.5.0                hcb278e6_1    conda-forge
     fastrlock                 0.8.2           py310hc6cd4ac_2    conda-forge
     filelock                  3.13.1             pyhd8ed1ab_0    conda-forge
     fmt                       10.2.1               h00ab1b0_0    conda-forge
     font-ttf-dejavu-sans-mono 2.37                 hab24e00_0    conda-forge
     font-ttf-inconsolata      3.000                h77eed37_0    conda-forge
     font-ttf-source-code-pro  2.038                h77eed37_0    conda-forge
     font-ttf-ubuntu           0.83                 h77eed37_1    conda-forge
     fontconfig                2.14.2               h14ed4e7_0    conda-forge
     fonts-conda-ecosystem     1                             0    conda-forge
     fonts-conda-forge         1                             0    conda-forge
     fonttools                 4.48.1          py310h2372a71_0    conda-forge
     fqdn                      1.5.1              pyhd8ed1ab_0    conda-forge
     freetype                  2.12.1               h267a509_2    conda-forge
     fribidi                   1.0.10               h36c2ea0_0    conda-forge
     frozenlist                1.4.1           py310h2372a71_0    conda-forge
     fsspec                    2024.2.0           pyhca7485f_0    conda-forge
     future                    0.18.3             pyhd8ed1ab_0    conda-forge
     gcc                       11.4.0               h7baecda_2    conda-forge
     gcc_impl_linux-64         11.4.0               h7aa1c59_5    conda-forge
     gcc_linux-64              11.4.0               hfd045f2_2    conda-forge
     gdk-pixbuf                2.42.10              h829c605_4    conda-forge
     gettext                   0.21.1               h27087fc_0    conda-forge
     gflags                    2.2.2             he1b5a44_1004    conda-forge
     giflib                    5.2.1                h0b41bf4_3    conda-forge
     glog                      0.6.0                h6f12383_0    conda-forge
     gmock                     1.14.0               ha770c72_1    conda-forge
     graphite2                 1.3.13            h58526e2_1001    conda-forge
     graphviz                  9.0.0                h78e8752_1    conda-forge
     gtest                     1.14.0               h00ab1b0_1    conda-forge
     gtk2                      2.24.33              h7f000aa_3    conda-forge
     gts                       0.7.6                h977cf35_4    conda-forge
     gxx                       11.4.0               h7baecda_2    conda-forge
     gxx_impl_linux-64         11.4.0               h7aa1c59_5    conda-forge
     gxx_linux-64              11.4.0               hfc1ae95_2    conda-forge
     harfbuzz                  8.3.0                h3d44ed6_0    conda-forge
     icu                       73.2                 h59595ed_0    conda-forge
     identify                  2.5.34             pyhd8ed1ab_0    conda-forge
     idna                      3.6                pyhd8ed1ab_0    conda-forge
     imagesize                 1.4.1              pyhd8ed1ab_0    conda-forge
     importlib-metadata        7.0.1              pyha770c72_0    conda-forge
     importlib-resources       6.1.1              pyhd8ed1ab_0    conda-forge
     importlib_metadata        7.0.1                hd8ed1ab_0    conda-forge
     importlib_resources       6.1.1              pyhd8ed1ab_0    conda-forge
     iniconfig                 2.0.0              pyhd8ed1ab_0    conda-forge
     ipykernel                 6.29.2             pyhd33586a_0    conda-forge
     ipython                   8.21.0             pyh707e725_0    conda-forge
     isoduration               20.11.0            pyhd8ed1ab_0    conda-forge
     jedi                      0.19.1             pyhd8ed1ab_0    conda-forge
     jinja2                    3.1.3              pyhd8ed1ab_0    conda-forge
     joblib                    1.3.2              pyhd8ed1ab_0    conda-forge
     json5                     0.9.14             pyhd8ed1ab_0    conda-forge
     jsonpointer               2.4             py310hff52083_3    conda-forge
     jsonschema                4.21.1             pyhd8ed1ab_0    conda-forge
     jsonschema-specifications 2023.12.1          pyhd8ed1ab_0    conda-forge
     jsonschema-with-format-nongpl 4.21.1             pyhd8ed1ab_0    conda-forge
     jupyter-lsp               2.2.2              pyhd8ed1ab_0    conda-forge
     jupyter_client            8.6.0              pyhd8ed1ab_0    conda-forge
     jupyter_core              5.7.1           py310hff52083_0    conda-forge
     jupyter_events            0.9.0              pyhd8ed1ab_0    conda-forge
     jupyter_server            2.12.5             pyhd8ed1ab_0    conda-forge
     jupyter_server_terminals  0.5.2              pyhd8ed1ab_0    conda-forge
     jupyterlab                4.0.12             pyhd8ed1ab_0    conda-forge
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</pre></details>

Other/Misc.

No response

Code of Conduct

nv-rliu commented 9 months ago

The warning from number_map.py is fixed in #4167

The warning from the multi flag will be fixed once symmetrize.py is refactored. cc: @jnke2016

raybellwaves commented 7 months ago

Just came across this but looks like it been fixed and will available in the next release(?) I think this can be closed

nv-rliu commented 7 months ago

Just came across this but looks like it been fixed and will available in the next release(?) I think this can be closed

@raybellwaves I know that there was an issue to fix warnings at Graph creation. Do you happen to know which PR fixed the multi edges warning?

raybellwaves commented 7 months ago

@raybellwaves I know that there was an issue to fix warnings at Graph creation. Do you happen to know which PR fixed the multi edges warning?

Not sure. Actually if I test with the nightlies the error still appears:

https://colab.research.google.com/drive/1ovF-8pRJ_XrgPKVi1T-YEKmiU-lA3lvW?usp=sharing

This probably should stay open