[BUG]: MG Uniform Neighbor Sample Benchmark Fails due to batch_ids in sampling #5000
Description
Version
24.05 nightly
Which installation method(s) does this occur on?
Source, Conda
Describe the bug.
I noticed that in our nightlies, this benchmark (cugraph/benchmarks/cugraph/pytest-based/bench_cugraph_uniform_neighbor_sample.py) consistently fails due to a series of checks causing errors.
I've been able to reproduce this failure and trace down the error. I plan on having a PR with some fix suggestions.
First, sampling_results_from_cupy_array_dict(...) in cugraph/python/cugraph/cugraph/sampling/sampling_utilities.py will throw an error if cupy_array_dict["batch_id"] contains a NoneType. This is the first failure in the logs down below.
Secondly, line #237 in bench_cugraph_uniform_neighbor_sample.py also automatically assumes that the resulting DF contains these column names, but I have observed that to be not the case.
with TimerContext("dask compute()
result_df = result_ddf.compute()
sources = result_df["majors"].to_cupy()
destinations = result_df["minors"].to_cupy()
indices = result_df["indices"].to_cupy()What I see
(Pdb) result_df
majors minors weight edge_id edge_type batch_id hop_id
0 96 4896 1.0 <NA> <NA> <NA> <NA>
1 96 8642 1.0 <NA> <NA> <NA> <NA>
2 96 66560 1.0 <NA> <NA> <NA> <NA>
3 96 82851 1.0 <NA> <NA> <NA> <NA>
4 96 318472 1.0 <NA> <NA> <NA> <NA>
... ... ... ... ... ... ... ...
2617 15278094 8405842 1.0 <NA> <NA> <NA> <NA>
2618 15278094 8520704 1.0 <NA> <NA> <NA> <NA>
2619 15278094 8554496 1.0 <NA> <NA> <NA> <NA>
2620 15278094 9699842 1.0 <NA> <NA> <NA> <NA>
2621 15278094 12812752 1.0 <NA> <NA> <NA> <NA>
[23642 rows x 7 columns]
There may be further issues but this is what I've noticed so far that causes the benchmark to fail.
Minimum reproducible example
pytest --maxfail=1 --import-mode=append -v bench_cugraph_uniform_neighbor_sample.py -k "SNMG and 100 and 10_25 and rmat_24_16"Relevant log output
------------------------------ Captured log call -------------------------------
INFO distributed.protocol.core:core.py:111 Failed to serialize (can not serialize 'dict_keys' object); falling back to pickle. Be aware that this may degrade performance.
INFO distributed.protocol.core:core.py:111 Failed to serialize (can not serialize 'dict_keys' object); falling back to pickle. Be aware that this may degrade performance.
_ bench_cugraph_uniform_neighbor_sample[gpu_config=SNMG-dataset=rmat_24_16-with_replacement=False-fanout=10_25-batch_size=90000] _
Traceback (most recent call last):
File "/opt/conda/lib/python3.10/site-packages/_pytest/runner.py", line 341, in from_call
result: TResult | None = func()
File "/opt/conda/lib/python3.10/site-packages/_pytest/runner.py", line 242, in <lambda>
lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
File "/opt/conda/lib/python3.10/site-packages/pluggy/_hooks.py", line 513, in __call__
return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
File "/opt/conda/lib/python3.10/site-packages/pluggy/_manager.py", line 120, in _hookexec
return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
File "/opt/conda/lib/python3.10/site-packages/pluggy/_callers.py", line 139, in _multicall
raise exception.with_traceback(exception.__traceback__)
File "/opt/conda/lib/python3.10/site-packages/pluggy/_callers.py", line 122, in _multicall
teardown.throw(exception) # type: ignore[union-attr]
File "/opt/conda/lib/python3.10/site-packages/_pytest/threadexception.py", line 92, in pytest_runtest_call
yield from thread_exception_runtest_hook()
File "/opt/conda/lib/python3.10/site-packages/_pytest/threadexception.py", line 68, in thread_exception_runtest_hook
yield
File "/opt/conda/lib/python3.10/site-packages/pluggy/_callers.py", line 122, in _multicall
teardown.throw(exception) # type: ignore[union-attr]
File "/opt/conda/lib/python3.10/site-packages/_pytest/unraisableexception.py", line 95, in pytest_runtest_call
yield from unraisable_exception_runtest_hook()
File "/opt/conda/lib/python3.10/site-packages/_pytest/unraisableexception.py", line 70, in unraisable_exception_runtest_hook
yield
File "/opt/conda/lib/python3.10/site-packages/pluggy/_callers.py", line 122, in _multicall
teardown.throw(exception) # type: ignore[union-attr]
File "/opt/conda/lib/python3.10/site-packages/_pytest/logging.py", line 846, in pytest_runtest_call
yield from self._runtest_for(item, "call")
File "/opt/conda/lib/python3.10/site-packages/_pytest/logging.py", line 829, in _runtest_for
yield
File "/opt/conda/lib/python3.10/site-packages/pluggy/_callers.py", line 122, in _multicall
teardown.throw(exception) # type: ignore[union-attr]
File "/opt/conda/lib/python3.10/site-packages/_pytest/capture.py", line 898, in pytest_runtest_call
return (yield)
File "/opt/conda/lib/python3.10/site-packages/pluggy/_callers.py", line 122, in _multicall
teardown.throw(exception) # type: ignore[union-attr]
File "/opt/conda/lib/python3.10/site-packages/_pytest/skipping.py", line 257, in pytest_runtest_call
return (yield)
File "/opt/conda/lib/python3.10/site-packages/pluggy/_callers.py", line 103, in _multicall
res = hook_impl.function(*args)
File "/opt/conda/lib/python3.10/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
item.runtest()
File "/opt/conda/lib/python3.10/site-packages/_pytest/python.py", line 1627, in runtest
self.ihook.pytest_pyfunc_call(pyfuncitem=self)
File "/opt/conda/lib/python3.10/site-packages/pluggy/_hooks.py", line 513, in __call__
return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
File "/opt/conda/lib/python3.10/site-packages/pluggy/_manager.py", line 120, in _hookexec
return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
File "/opt/conda/lib/python3.10/site-packages/pluggy/_callers.py", line 139, in _multicall
raise exception.with_traceback(exception.__traceback__)
File "/opt/conda/lib/python3.10/site-packages/pluggy/_callers.py", line 103, in _multicall
res = hook_impl.function(*args)
File "/opt/conda/lib/python3.10/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
result = testfunction(**testargs)
File "/root/cugraph/benchmarks/cugraph/pytest-based/bench_cugraph_uniform_neighbor_sample.py", line 272, in bench_cugraph_uniform_neighbor_sample
result = benchmark(
File "/opt/conda/lib/python3.10/site-packages/pytest_benchmark/fixture.py", line 156, in __call__
return self._raw(function_to_benchmark, *args, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/pytest_benchmark/fixture.py", line 180, in _raw
duration, iterations, loops_range = self._calibrate_timer(runner)
File "/opt/conda/lib/python3.10/site-packages/pytest_benchmark/fixture.py", line 318, in _calibrate_timer
duration = runner(loops_range)
File "/opt/conda/lib/python3.10/site-packages/pytest_benchmark/fixture.py", line 109, in runner
function_to_benchmark(*args, **kwargs)
File "/root/cugraph/benchmarks/cugraph/pytest-based/bench_cugraph_uniform_neighbor_sample.py", line 238, in uns_func
result_df = result_ddf.compute()
File "/opt/conda/lib/python3.10/site-packages/dask/dataframe/dask_expr/_collection.py", line 489, in compute
return DaskMethodsMixin.compute(out, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/dask/base.py", line 374, in compute
(result,) = compute(self, traverse=False, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/dask/base.py", line 662, in compute
results = schedule(dsk, keys, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/cugraph/dask/sampling/uniform_neighbor_sample.py", line 213, in _call_plc_uniform_neighbor_sample
return sampling_results_from_cupy_array_dict(
File "/opt/conda/lib/python3.10/site-packages/cugraph/sampling/sampling_utilities.py", line 128, in sampling_results_from_cupy_array_dict
if len(batch_ids) > 0:
TypeError: object of type 'NoneType' has no len()Environment details
<details><summary>Click here to see environment details</summary><pre>
**git***
commit 6e622e71eb2e86634fd9008a93c59a819245bd8c (HEAD -> branch-25.04, origin/branch-25.04, origin/HEAD)
Author: Bradley Dice <[email protected]>
Date: Wed Mar 12 05:56:15 2025 -0500
Fix datasets API (no longer experimental) (#4964)
We have some failing notebooks in the Docker image because `cugraph.experimental.datasets` doesn't exist. This appears to be promoted to `cugraph.datasets`, so I updated code referencing the old location.
This corrects failures observed in https://github.com/rapidsai/docker/pull/742.
Authors:
- Bradley Dice (https://github.com/bdice)
- Don Acosta (https://github.com/acostadon)
Approvers:
- Don Acosta (https://github.com/acostadon)
URL: https://github.com/rapidsai/cugraph/pull/4964
**git submodules***
***OS Information***
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DISTRIB_RELEASE=22.04
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DISTRIB_DESCRIPTION="Ubuntu 22.04.5 LTS"
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***GPU Information***
Wed Mar 19 13:27:12 2025
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.161.08 Driver Version: 535.161.08 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| 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-SXM2-32GB On | 00000000:06:00.0 Off | 0 |
| N/A 36C P0 56W / 300W | 485MiB / 32768MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 1 Tesla V100-SXM2-32GB On | 00000000:07:00.0 Off | 0 |
| N/A 33C P0 42W / 300W | 127MiB / 32768MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 2 Tesla V100-SXM2-32GB On | 00000000:0A:00.0 Off | 0 |
| N/A 33C P0 44W / 300W | 127MiB / 32768MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 3 Tesla V100-SXM2-32GB On | 00000000:0B:00.0 Off | 0 |
| N/A 32C P0 43W / 300W | 127MiB / 32768MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 4 Tesla V100-SXM2-32GB On | 00000000:85:00.0 Off | 0 |
| N/A 30C P0 42W / 300W | 3MiB / 32768MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 5 Tesla V100-SXM2-32GB On | 00000000:86:00.0 Off | 0 |
| N/A 33C P0 43W / 300W | 3MiB / 32768MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 6 Tesla V100-SXM2-32GB On | 00000000:89:00.0 Off | 0 |
| N/A 35C P0 44W / 300W | 3MiB / 32768MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 7 Tesla V100-SXM2-32GB On | 00000000:8A:00.0 Off | 0 |
| N/A 31C P0 43W / 300W | 3MiB / 32768MiB | 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
Address sizes: 46 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 80
On-line CPU(s) list: 0-79
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) CPU E5-2698 v4 @ 2.20GHz
CPU family: 6
Model: 79
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L1i cache: 1.3 MiB (40 instances)
L2 cache: 10 MiB (40 instances)
L3 cache: 100 MiB (2 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-19,40-59
NUMA node1 CPU(s): 20-39,60-79
Vulnerability Gather data sampling: Not affected
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
***CMake***
/root/cmake-3.27.7-linux-x86_64/bin/cmake
cmake version 3.27.7
CMake suite maintained and supported by Kitware (kitware.com/cmake).
***g++***
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Cuda compilation tools, release 11.8, V11.8.89
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joblib 1.4.2 pyhd8ed1ab_1 conda-forge
jsonpatch 1.33 pyhd8ed1ab_1 conda-forge
jsonpointer 3.0.0 py310hff52083_1 conda-forge
jsonschema 4.23.0 pypi_0 pypi
jsonschema-specifications 2024.10.1 pypi_0 pypi
kaleido 0.2.1 pypi_0 pypi
kernel-headers_linux-64 3.10.0 he073ed8_18 conda-forge
keyutils 1.6.1 h166bdaf_0 conda-forge
kiwisolver 1.4.7 py310h3788b33_0 conda-forge
krb5 1.21.3 h659f571_0 conda-forge
lcms2 2.17 h717163a_0 conda-forge
ld_impl_linux-64 2.43 h712a8e2_4 conda-forge
lerc 4.0.0 h27087fc_0 conda-forge
libabseil 20240722.0 cxx17_hbbce691_4 conda-forge
libarchive 3.7.7 h4585015_3 conda-forge
libarrow 19.0.1 hee35a22_2_cpu conda-forge
libarrow-acero 19.0.1 hcb10f89_2_cpu conda-forge
libarrow-dataset 19.0.1 hcb10f89_2_cpu conda-forge
libarrow-substrait 19.0.1 h08228c5_2_cpu conda-forge
libblas 3.9.0 31_h59b9bed_openblas conda-forge
libbrotlicommon 1.1.0 hb9d3cd8_2 conda-forge
libbrotlidec 1.1.0 hb9d3cd8_2 conda-forge
libbrotlienc 1.1.0 hb9d3cd8_2 conda-forge
libcap 2.75 h39aace5_0 conda-forge
libcblas 3.9.0 31_he106b2a_openblas conda-forge
libclang-cpp19.1 19.1.7 default_hb5137d0_1 conda-forge
libclang13 19.1.7 default_h9c6a7e4_1 conda-forge
libcrc32c 1.1.2 h9c3ff4c_0 conda-forge
libcublas 11.11.3.6 0 nvidia
libcublas-dev 11.11.3.6 0 nvidia
libcudf 25.4.0a341 cuda11_250313_73306c92 rapidsai-nightly
libcufile 1.4.0.31 0 nvidia
libcufile-dev 1.4.0.31 0 nvidia
libcugraph 25.04.00a60 cuda11_250313_g6e622e71e_60 rapidsai-nightly
libcups 2.3.3 h4637d8d_4 conda-forge
libcurand 10.3.0.86 0 nvidia
libcurand-dev 10.3.0.86 0 nvidia
libcurl 8.12.1 h332b0f4_0 conda-forge
libcusolver 11.4.1.48 0 nvidia
libcusolver-dev 11.4.1.48 0 nvidia
libcusparse 11.7.5.86 0 nvidia
libcusparse-dev 11.7.5.86 0 nvidia
libdeflate 1.23 h4ddbbb0_0 conda-forge
libdrm 2.4.124 hb9d3cd8_0 conda-forge
libedit 3.1.20250104 pl5321h7949ede_0 conda-forge
libegl 1.7.0 ha4b6fd6_2 conda-forge
libev 4.33 hd590300_2 conda-forge
libevent 2.1.12 hf998b51_1 conda-forge
libexpat 2.6.4 h5888daf_0 conda-forge
libffi 3.4.6 h2dba641_0 conda-forge
libgcc 14.2.0 h767d61c_2 conda-forge
libgcc-ng 14.2.0 h69a702a_2 conda-forge
libgcrypt-lib 1.11.0 hb9d3cd8_2 conda-forge
libgfortran 14.2.0 h69a702a_2 conda-forge
libgfortran5 14.2.0 hf1ad2bd_2 conda-forge
libgl 1.7.0 ha4b6fd6_2 conda-forge
libglib 2.82.2 h2ff4ddf_1 conda-forge
libglvnd 1.7.0 ha4b6fd6_2 conda-forge
libglx 1.7.0 ha4b6fd6_2 conda-forge
libgomp 14.2.0 h767d61c_2 conda-forge
libgoogle-cloud 2.36.0 h2b5623c_0 conda-forge
libgoogle-cloud-storage 2.36.0 h0121fbd_0 conda-forge
libgpg-error 1.51 hbd13f7d_1 conda-forge
libgrpc 1.67.1 h25350d4_2 conda-forge
libhwloc 2.11.2 default_h0d58e46_1001 conda-forge
libiconv 1.18 h4ce23a2_1 conda-forge
libjpeg-turbo 3.0.0 hd590300_1 conda-forge
libkvikio 25.04.00a40 cuda11_250313_g5c710f3_40 rapidsai-nightly
liblapack 3.9.0 31_h7ac8fdf_openblas conda-forge
libllvm14 14.0.6 hcd5def8_4 conda-forge
libllvm19 19.1.7 ha7bfdaf_1 conda-forge
liblzma 5.6.4 hb9d3cd8_0 conda-forge
libmamba 2.0.7 hf3fef5c_2 conda-forge
libmambapy 2.0.7 py310hcb134ed_2 conda-forge
libnghttp2 1.64.0 h161d5f1_0 conda-forge
libnl 3.11.0 hb9d3cd8_0 conda-forge
libnsl 2.0.1 hd590300_0 conda-forge
libntlm 1.8 hb9d3cd8_0 conda-forge
libopenblas 0.3.29 pthreads_h94d23a6_0 conda-forge
libopengl 1.7.0 ha4b6fd6_2 conda-forge
libopentelemetry-cpp 1.18.0 hfcad708_1 conda-forge
libopentelemetry-cpp-headers 1.18.0 ha770c72_1 conda-forge
libparquet 19.0.1 h081d1f1_2_cpu conda-forge
libpciaccess 0.18 hd590300_0 conda-forge
libpng 1.6.47 h943b412_0 conda-forge
libpq 17.4 h27ae623_0 conda-forge
libprotobuf 5.28.3 h6128344_1 conda-forge
libraft 25.04.00a43 cuda11_250313_g695fb261_43 rapidsai-nightly
libraft-headers 25.04.00a43 cuda11_250313_g695fb261_43 rapidsai-nightly
libraft-headers-only 25.04.00a43 cuda11_250313_g695fb261_43 rapidsai-nightly
libre2-11 2024.07.02 hbbce691_2 conda-forge
librmm 25.4.0a44 cuda11_250313_d8b7dacd rapidsai-nightly
libsolv 0.7.30 h3509ff9_0 conda-forge
libsqlite 3.49.1 hee588c1_1 conda-forge
libssh2 1.11.1 hf672d98_0 conda-forge
libstdcxx 14.2.0 h8f9b012_2 conda-forge
libstdcxx-ng 14.2.0 h4852527_2 conda-forge
libsystemd0 257.4 h4e0b6ca_1 conda-forge
libthrift 0.21.0 h0e7cc3e_0 conda-forge
libtiff 4.7.0 hd9ff511_3 conda-forge
libtorch 2.4.1 cpu_mkl_he8ec5d7_105 conda-forge
libucxx 0.43.00a23 cuda11_250313_gd55ea96_23 rapidsai-nightly
libudev1 257.4 hbe16f8c_1 conda-forge
libutf8proc 2.10.0 h4c51ac1_0 conda-forge
libuuid 2.38.1 h0b41bf4_0 conda-forge
libuv 1.50.0 hb9d3cd8_0 conda-forge
libwebp-base 1.5.0 h851e524_0 conda-forge
libwholegraph 25.04.00a33 cuda11_250313_g7295e19_33 rapidsai-nightly
libxcb 1.17.0 h8a09558_0 conda-forge
libxcrypt 4.4.36 hd590300_1 conda-forge
libxkbcommon 1.8.1 hc4a0caf_0 conda-forge
libxml2 2.13.6 h8d12d68_0 conda-forge
libxslt 1.1.39 h76b75d6_0 conda-forge
libzlib 1.3.1 hb9d3cd8_2 conda-forge
lightning-utilities 0.14.0 pyhd8ed1ab_0 conda-forge
littleutils 0.2.4 pyhd8ed1ab_1 conda-forge
llvm-openmp 19.1.7 h024ca30_0 conda-forge
llvmlite 0.43.0 py310h1a6248f_1 conda-forge
locket 1.0.0 pyhd8ed1ab_0 conda-forge
lz4 4.3.3 py310h80b8a69_2 conda-forge
lz4-c 1.10.0 h5888daf_1 conda-forge
lzo 2.10 hd590300_1001 conda-forge
mamba 2.0.7 h3f3603c_2 conda-forge
markdown-it-py 3.0.0 pyhd8ed1ab_1 conda-forge
markupsafe 3.0.2 py310h89163eb_1 conda-forge
matplotlib 3.10.1 py310hff52083_0 conda-forge
matplotlib-base 3.10.1 py310h68603db_0 conda-forge
mdurl 0.1.2 pyhd8ed1ab_1 conda-forge
menuinst 2.2.0 py310hff52083_0 conda-forge
mkl 2024.2.2 ha957f24_16 conda-forge
mpc 1.3.1 h24ddda3_1 conda-forge
mpfr 4.2.1 h90cbb55_3 conda-forge
mpmath 1.3.0 pyhd8ed1ab_1 conda-forge
msgpack-python 1.1.0 py310h3788b33_0 conda-forge
multidict 6.1.0 py310h89163eb_2 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
mysql-common 9.0.1 h266115a_4 conda-forge
mysql-libs 9.0.1 he0572af_4 conda-forge
narwhals 1.30.0 pyhd8ed1ab_0 conda-forge
nccl 2.25.1.1 h03a54cd_0 conda-forge
ncurses 6.5 h2d0b736_3 conda-forge
networkx 3.4.2 pyh267e887_2 conda-forge
ninja 1.12.1 h297d8ca_0 conda-forge
nlohmann_json 3.11.3 he02047a_1 conda-forge
numba 0.60.0 py310h5dc88bb_0 conda-forge
numba-cuda 0.4.0 pyh267e887_0 conda-forge
numpy 2.0.2 py310hd6e36ab_1 conda-forge
nvcomp 4.2.0.11 hf3d1f9a_0 conda-forge
nvidia-ml-py 12.570.86 pyhd8ed1ab_0 conda-forge
nvtx 0.2.11 py310ha75aee5_0 conda-forge
nx-cugraph 25.04.00a29 py310_250313_g06e67b3_29 rapidsai-nightly
ogb 1.3.6 pyhd8ed1ab_1 conda-forge
openjpeg 2.5.3 h5fbd93e_0 conda-forge
openldap 2.6.9 he970967_0 conda-forge
openssl 3.4.1 h7b32b05_0 conda-forge
opt-einsum 3.4.0 pypi_0 pypi
opt-einsum-fx 0.1.4 pypi_0 pypi
orc 2.1.1 h2271f48_0 conda-forge
outdated 0.2.2 pyhd8ed1ab_2 conda-forge
packaging 24.2 pyhd8ed1ab_2 conda-forge
pandas 2.2.3 py310h5eaa309_1 conda-forge
partd 1.4.2 pyhd8ed1ab_0 conda-forge
pcre2 10.44 hba22ea6_2 conda-forge
pillow 11.1.0 py310h7e6dc6c_0 conda-forge
pip 25.0.1 pyh8b19718_0 conda-forge
pixman 0.44.2 h29eaf8c_0 conda-forge
platformdirs 4.3.6 pyhd8ed1ab_1 conda-forge
plotly 6.0.0 pyhd8ed1ab_0 conda-forge
pluggy 1.5.0 pyhd8ed1ab_1 conda-forge
ply 3.11 pyhd8ed1ab_3 conda-forge
prometheus-cpp 1.3.0 ha5d0236_0 conda-forge
propcache 0.2.1 py310h89163eb_1 conda-forge
psutil 7.0.0 py310ha75aee5_0 conda-forge
pthread-stubs 0.4 hb9d3cd8_1002 conda-forge
ptxcompiler 0.8.1 py310hda4ad70_4 conda-forge
py-cpuinfo 9.0.0 pyhd8ed1ab_1 conda-forge
pyarrow 19.0.1 py310hff52083_0 conda-forge
pyarrow-core 19.0.1 py310hac404ae_0_cpu conda-forge
pybind11-abi 4 hd8ed1ab_3 conda-forge
pycosat 0.6.6 py310ha75aee5_2 conda-forge
pycparser 2.22 pyh29332c3_1 conda-forge
pydantic 2.10.6 pyh3cfb1c2_0 conda-forge
pydantic-core 2.27.2 py310h505e2c1_0 conda-forge
pygments 2.19.1 pyhd8ed1ab_0 conda-forge
pylibcudf 25.4.0a341 cuda11_py310_250313_73306c92 rapidsai-nightly
pylibcugraph 25.04.00a60 cuda11_py310_250313_g6e622e71e_60 rapidsai-nightly
pylibraft 25.04.00a43 cuda11_py310_250313_g695fb261_43 rapidsai-nightly
pylibwholegraph 25.04.00a33 cuda11_py310_250313_g7295e19_33 rapidsai-nightly
pynvml 12.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.2.1 pyhd8ed1ab_0 conda-forge
pyside6 6.8.2 py310hfd10a26_1 conda-forge
pysocks 1.7.1 pyha55dd90_7 conda-forge
pytest 8.3.5 pyhd8ed1ab_0 conda-forge
pytest-benchmark 5.1.0 pyhd8ed1ab_1 conda-forge
pytest-cov 6.0.0 pyhd8ed1ab_1 conda-forge
pytest-xdist 3.6.1 pyhd8ed1ab_1 conda-forge
python 3.10.16 he725a3c_1_cpython conda-forge
python-dateutil 2.9.0.post0 pyhff2d567_1 conda-forge
python-louvain 0.16 pyhd8ed1ab_1 conda-forge
python-tzdata 2025.1 pyhd8ed1ab_0 conda-forge
python_abi 3.10 5_cp310 conda-forge
pytorch 2.4.1 cpu_mkl_py310h0c45af4_105 conda-forge
pytz 2024.1 pyhd8ed1ab_0 conda-forge
pyyaml 6.0.2 py310h89163eb_2 conda-forge
qhull 2020.2 h434a139_5 conda-forge
qt6-main 6.8.2 h588cce1_0 conda-forge
raft-dask 25.04.00a43 cuda11_py310_250313_g695fb261_43 rapidsai-nightly
rapids-dask-dependency 25.04.00a7 py_0 rapidsai-nightly
rapids-dependency-file-generator 1.17.0 pypi_0 pypi
rapids-logger 0.1.0a29 h98325ef_0 rapidsai-nightly
rdma-core 56.0 h5888daf_0 conda-forge
re2 2024.07.02 h9925aae_2 conda-forge
readline 8.2 h8c095d6_2 conda-forge
referencing 0.36.2 pypi_0 pypi
reproc 14.2.5.post0 hb9d3cd8_0 conda-forge
reproc-cpp 14.2.5.post0 h5888daf_0 conda-forge
requests 2.32.3 pyhd8ed1ab_1 conda-forge
rich 13.9.4 pyhd8ed1ab_1 conda-forge
rmm 25.4.0a44 cuda11_py310_250313_d8b7dacd rapidsai-nightly
rpds-py 0.23.1 pypi_0 pypi
ruamel.yaml 0.18.10 py310ha75aee5_0 conda-forge
ruamel.yaml.clib 0.2.8 py310ha75aee5_1 conda-forge
s2n 1.5.11 h072c03f_0 conda-forge
scikit-learn 1.6.1 py310h27f47ee_0 conda-forge
scipy 1.15.2 py310h1d65ade_0 conda-forge
setuptools 75.8.2 pyhff2d567_0 conda-forge
simdjson 3.12.2 h84d6215_0 conda-forge
six 1.17.0 pyhd8ed1ab_0 conda-forge
sleef 3.8 h1b44611_0 conda-forge
snappy 1.2.1 h8bd8927_1 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_1 conda-forge
spdlog 1.15.1 hb29a8c4_0 conda-forge
sympy 1.13.3 pyh2585a3b_105 conda-forge
sysroot_linux-64 2.17 h0157908_18 conda-forge
tabulate 0.9.0 pyhd8ed1ab_2 conda-forge
tbb 2021.13.0 hceb3a55_1 conda-forge
tblib 3.0.0 pyhd8ed1ab_1 conda-forge
threadpoolctl 3.5.0 pyhc1e730c_0 conda-forge
thriftpy2 0.5.2 py310ha75aee5_1 conda-forge
tk 8.6.13 noxft_h4845f30_101 conda-forge
toml 0.10.2 pyhd8ed1ab_1 conda-forge
tomli 2.2.1 pyhd8ed1ab_1 conda-forge
tomlkit 0.13.2 pypi_0 pypi
toolz 1.0.0 pyhd8ed1ab_1 conda-forge
torchdata 0.11.0 py310hca78215_0 conda-forge
torchmetrics 1.6.2 pyhd8ed1ab_0 conda-forge
tornado 6.4.2 py310ha75aee5_0 conda-forge
tqdm 4.67.1 pyhd8ed1ab_1 conda-forge
truststore 0.10.1 pyh29332c3_0 conda-forge
typing-extensions 4.12.2 hd8ed1ab_1 conda-forge
typing_extensions 4.12.2 pyha770c72_1 conda-forge
tzdata 2025a h78e105d_0 conda-forge
ucx 1.18.0 hfd9a62f_1 conda-forge
ucx-py 0.43.00a14 py310_250313_g0b12b68_14 rapidsai-nightly
ucxx 0.43.00a23 cuda11_py310_250313_gd55ea96_23 rapidsai-nightly
unicodedata2 16.0.0 py310ha75aee5_0 conda-forge
urllib3 2.3.0 pyhd8ed1ab_0 conda-forge
wayland 1.23.1 h3e06ad9_0 conda-forge
wheel 0.45.1 pyhd8ed1ab_1 conda-forge
xcb-util 0.4.1 hb711507_2 conda-forge
xcb-util-cursor 0.1.5 hb9d3cd8_0 conda-forge
xcb-util-image 0.4.0 hb711507_2 conda-forge
xcb-util-keysyms 0.4.1 hb711507_0 conda-forge
xcb-util-renderutil 0.3.10 hb711507_0 conda-forge
xcb-util-wm 0.4.2 hb711507_0 conda-forge
xkeyboard-config 2.43 hb9d3cd8_0 conda-forge
xorg-libice 1.1.2 hb9d3cd8_0 conda-forge
xorg-libsm 1.2.5 he73a12e_0 conda-forge
xorg-libx11 1.8.11 h4f16b4b_0 conda-forge
xorg-libxau 1.0.12 hb9d3cd8_0 conda-forge
xorg-libxcomposite 0.4.6 hb9d3cd8_2 conda-forge
xorg-libxcursor 1.2.3 hb9d3cd8_0 conda-forge
xorg-libxdamage 1.1.6 hb9d3cd8_0 conda-forge
xorg-libxdmcp 1.1.5 hb9d3cd8_0 conda-forge
xorg-libxext 1.3.6 hb9d3cd8_0 conda-forge
xorg-libxfixes 6.0.1 hb9d3cd8_0 conda-forge
xorg-libxi 1.8.2 hb9d3cd8_0 conda-forge
xorg-libxrandr 1.5.4 hb9d3cd8_0 conda-forge
xorg-libxrender 0.9.12 hb9d3cd8_0 conda-forge
xorg-libxtst 1.2.5 hb9d3cd8_3 conda-forge
xorg-libxxf86vm 1.1.6 hb9d3cd8_0 conda-forge
xyzservices 2025.1.0 pyhd8ed1ab_0 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
yaml-cpp 0.8.0 h59595ed_0 conda-forge
yarl 1.18.3 py310h89163eb_1 conda-forge
zict 3.0.0 pyhd8ed1ab_1 conda-forge
zipp 3.21.0 pyhd8ed1ab_1 conda-forge
zlib 1.3.1 hb9d3cd8_2 conda-forge
zstandard 0.23.0 py310ha75aee5_1 conda-forge
zstd 1.5.7 hb8e6e7a_1 conda-forge
</pre></details>Other/Misc.
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