beckernick
commented
3 years ago The undefined behavior in the kernel due to the reverse guard appears to be overwriting the input data buffer when it occurs. We'll take a look into what's happening here, but "protecting" against undefined behavior in user code is challenging.
Hopefully the examples and documentation below resolve your issue.
df = cudf.DataFrame([[1,4], [2,5],[3,6]], columns= ['col1', 'col2'])
df = df.repeat(10)
df.reset_index(drop=True, inplace=True)
out_df = cudf.DataFrame()
print(df.head())
for i in range(5):
res = df.apply_chunks(test_fn,
incols={"col2": 'in_col'},
outcols={'out_col': np.float64},
chunks=len(df[col])
)
print(res.head())
col1 col2
0 1 4
1 1 4
2 1 4
3 1 4
4 1 4
col1 col2 out_col
0 1 4 4.0
1 1 4 4.0
2 1 4 4.0
3 1 4 4.0
4 1 4 4.0
col1 col2 out_col
0 4607182418800017408 4629137466983448576 4.607182e+18
1 0 4607182418800017408 4.607182e+18
2 0 4611686018427387904 4.613938e+18
3 0 4613937818241073152 4.613938e+18
4 0 4616189618054758400 0.000000e+00
col1 col2 out_col
0 4607182418800017408 4629137466983448576 4.607182e+18
1 0 4607182418800017408 4.607182e+18
2 0 4611686018427387904 4.613938e+18
3 0 4613937818241073152 4.613938e+18
4 0 4616189618054758400 0.000000e+00
col1 col2 out_col
0 4607182418800017408 4629137466983448576 4.607182e+18
1 0 4607182418800017408 4.607182e+18
2 0 4611686018427387904 4.613938e+18
3 0 4613937818241073152 4.613938e+18
4 0 4616189618054758400 0.000000e+00
col1 col2 out_col
0 4607182418800017408 4629137466983448576 4.607182e+18
1 0 4607182418800017408 4.607182e+18
2 0 4611686018427387904 4.613938e+18
3 0 4613937818241073152 4.613938e+18
4 0 4616189618054758400 0.000000e+00With a thread boundary guard to ensure we don't access memory beyond the buffer, I don't see any undefined behavior.
def test_fn2(in_col, out_col):
# Thread id in a 1D block
tx = cuda.threadIdx.x
# Block id in a 1D grid
ty = cuda.blockIdx.x
# Block width, i.e. number of threads per block
bw = cuda.blockDim.x
# Compute flattened index inside the array
row_idx = tx + ty * bw
if row_idx < in_col.size: # thread boundary guard
if row_idx % 2 == 0:
out_col[row_idx] = in_col[row_idx + 1]
else:
out_col[row_idx] = in_col[row_idx]
df = cudf.DataFrame([[1,4], [2,5],[3,6]], columns= ['col1', 'col2'])
df = df.repeat(10)
df.reset_index(drop=True, inplace=True)
out_df = cudf.DataFrame()
print(df.head())
for i in range(5):
res = df.apply_chunks(test_fn2,
incols={"col2": 'in_col'},
outcols={'out_col': np.float64},
chunks=len(df[col])
)
print(res.head())
col1 col2
0 1 4
1 1 4
2 1 4
3 1 4
4 1 4
col1 col2 out_col
0 1 4 4.0
1 1 4 4.0
2 1 4 4.0
3 1 4 4.0
4 1 4 4.0
col1 col2 out_col
0 1 4 4.0
1 1 4 4.0
2 1 4 4.0
3 1 4 4.0
4 1 4 4.0
col1 col2 out_col
0 1 4 4.0
1 1 4 4.0
2 1 4 4.0
3 1 4 4.0
4 1 4 4.0
col1 col2 out_col
0 1 4 4.0
1 1 4 4.0
2 1 4 4.0
3 1 4 4.0
4 1 4 4.0
col1 col2 out_col
0 1 4 4.0
1 1 4 4.0
2 1 4 4.0
3 1 4 4.0
4 1 4 4.0Note that you could express this test function as a rolling window UDF as well:
def func(window):
current = window[0]
if current % 2 == 0:
return window[1] # assume at least window size 2
else:
return current
df.col2.rolling(2).apply(func)We're also actively enhancing the user experience for UDFs. We've added df.apply and "row" abstractions, similar to pandas. You may be interested in this section of our nightly documentation: https://docs.rapids.ai/api/cudf/nightly/user_guide/guide-to-udfs.html#Generalized-NA-Support
github-actions[bot]
vyasr
Describe the bug A clear and concise description of what the bug is. When I reference an adjacent cell in apply_chunks, the result is non-deterministic when executed repeatedly.
Steps/Code to reproduce bug Follow this guide http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports to craft a minimal bug report. This helps us reproduce the issue you're having and resolve the issue more quickly.
Expected behavior A clear and concise description of what you expected to happen. Should always output a column that has the computed data, rather than sporadically a column of zeros.
Environment overview (please complete the following information)
docker pull&docker runcommands usedEnvironment details Please run and paste the output of the
cudf/print_env.shscript here, to gather any other relevant environment detailsClick here to see environment details
**git*** commit cdf97d89340989446ebecffb2598915cc0870a9d (HEAD -> devEDMClone, origin/devEDMClone) Author: Rashi Abramson
Date: Mon Oct 11 13:17:48 2021 -0700
embeddings starting to work!
**git submodules***
***OS Information***
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=20.04
DISTRIB_CODENAME=focal
DISTRIB_DESCRIPTION="Ubuntu 20.04.3 LTS"
NAME="Ubuntu"
VERSION="20.04.3 LTS (Focal Fossa)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 20.04.3 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 LAPTOP-K7HKLLNH 5.10.43.3-microsoft-standard-WSL2 #1 SMP Wed Jun 16 23:47:55 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
***GPU Information***
Tue Oct 12 16:34:00 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.73 Driver Version: 472.12 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| 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 GeForce ... Off | 00000000:01:00.0 Off | N/A |
| N/A 44C P8 6W / N/A | 1117MiB / 8192MiB | ERR! Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
***CPU***
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
Address sizes: 39 bits physical, 48 bits virtual
CPU(s): 16
On-line CPU(s) list: 0-15
Thread(s) per core: 2
Core(s) per socket: 8
Socket(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 165
Model name: Intel(R) Core(TM) i7-10875H CPU @ 2.30GHz
Stepping: 2
CPU MHz: 2304.006
BogoMIPS: 4608.01
Virtualization: VT-x
Hypervisor vendor: Microsoft
Virtualization type: full
L1d cache: 256 KiB
L1i cache: 256 KiB
L2 cache: 2 MiB
L3 cache: 16 MiB
Vulnerability Itlb multihit: KVM: Mitigation: VMX disabled
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: 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; Enhanced IBRS, IBPB conditional, RSB filling
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
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 cpuid pni pclmulqdq vmx ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi ept vpid ept_ad fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt xsaveopt xsavec xgetbv1 xsaves flush_l1d arch_capabilities
***CMake***
***g++***
/usr/bin/g++
g++ (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
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***
***Python***
/home/rashi/anaconda3/envs/rapids-21.10/bin/python
Python 3.8.12
***Environment Variables***
PATH : /home/rashi/.meteor:/home/rashi/.cargo/bin:/home/rashi/anaconda3/envs/rapids-21.10/bin:/home/rashi/anaconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/wsl/lib:/mnt/c/Program
Files : (x86)/Razer
Chroma : SDK/bin:/mnt/c/Program
Files/Razer : Chroma
SDK/bin:/mnt/c/Program : Files
(x86)/Razer/ChromaBroadcast/bin:/mnt/c/Program: Files/Razer/ChromaBroadcast/bin:/mnt/c/Program
Files/Oculus/Support/oculus-runtime:/mnt/c/Program: Files/NVIDIA
GPU : Computing
Toolkit/CUDA/v11.3/bin:/mnt/c/Program: Files/NVIDIA
GPU : Computing
Toolkit/CUDA/v11.3/libnvvp:/mnt/c/Windows/system32:/mnt/c/Windows:/mnt/c/Windows/System32/Wbem:/mnt/c/Windows/System32/WindowsPowerShell/v1.0:/mnt/c/Windows/System32/OpenSSH:/mnt/c/Program: Files
(x86)/NVIDIA : Corporation/PhysX/Common:/mnt/c/Program
Files/NVIDIA : Corporation/NVIDIA
NvDLISR:/mnt/c/Program : Files/dotnet:/mnt/c/Program
Files/NVIDIA : Corporation/Nsight
Compute : 2021.1.1:/mnt/c/Program
Files/Microsoft : SQL
Server/130/Tools/Binn:/mnt/c/Program: Files/Microsoft
SQL : Server/Client
SDK/ODBC/170/Tools/Binn:/mnt/c/Program: Files/gnuplot/bin:/mnt/c/ProgramData/chocolatey/bin:/mnt/c/Program
Files : (x86)/Yarn/bin:/mnt/c/Program
Files/nodejs:/mnt/c/lazarus/fpc/3.2.2/bin/i386-Win32:/mnt/c/WINDOWS/system32:/mnt/c/WINDOWS:/mnt/c/WINDOWS/System32/Wbem:/mnt/c/WINDOWS/System32/WindowsPowerShell/v1.0:/mnt/c/WINDOWS/System32/OpenSSH:/mnt/c/Program: Files/Git/cmd:/mnt/c/WINDOWS/system32/config/systemprofile/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/roshk/AppData/Local/Programs/Python/Python39/Scripts:/mnt/c/Users/roshk/AppData/Local/Programs/Python/Python39:/mnt/c/Users/roshk/.cargo/bin:/mnt/c/Users/roshk/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/roshk/AppData/Local/GitHubDesktop/bin:/mnt/c/Users/roshk/AppData/Local/Programs/Microsoft
VS : Code/bin:/mnt/c/Users/roshk/.dotnet/tools:/mnt/c/Program
Files/NVIDIA : GPU
Computing : Toolkit/CUDA/v11.3/extras/CUPTI/lib64:/mnt/c/Program
Files/NVIDIA : GPU
Computing : Toolkit/CUDA/v11.3/include:/mnt/c/tools/cuda/bin:/mnt/c/Users/roshk/utils_for_path:/mnt/c/Users/roshk/Downloads/TensorRT-7.1.3.4.Windows10.x86_64.cuda-11.0.cudnn8.0/TensorRT-7.1.3.4/lib:/mnt/c/ProgramData/roshk/GitHubDesktop/bin:/mnt/c/Users/roshk/AppData/Local/Programs/Julia-1.6.1/bin:/mnt/c/Users/roshk/AppData/Local/Yarn/bin:/mnt/c/Users/roshk/AppData/Roaming/npm:/mnt/c/Users/roshk/AppData/Local/Programs/Python/Python39/Scripts:/mnt/c/Users/roshk/AppData/Local/Programs/Python/Python39:/mnt/c/Users/roshk/.cargo/bin:/mnt/c/Users/roshk/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/roshk/AppData/Local/GitHubDesktop/bin:/mnt/c/Users/roshk/AppData/Local/Programs/Microsoft
VS : Code/bin:/mnt/c/Users/roshk/.dotnet/tools:/mnt/c/Program
Files/NVIDIA : GPU
Computing : Toolkit/CUDA/v11.3/bin:/mnt/c/Program
Files/NVIDIA : GPU
Computing : Toolkit/CUDA/v11.3/extras/CUPTI/lib64:/mnt/c/Program
Files/NVIDIA : GPU
Computing : Toolkit/CUDA/v11.3/include:/mnt/c/tools/cuda/bin:/mnt/c/Users/roshk/utils_for_path:/mnt/c/Users/roshk/Downloads/TensorRT-7.1.3.4.Windows10.x86_64.cuda-11.0.cudnn8.0/TensorRT-7.1.3.4/lib:/mnt/c/ProgramData/roshk/GitHubDesktop/bin:/mnt/c/Users/roshk/AppData/Local/Programs/Julia-1.6.1/bin:/mnt/c/Users/roshk/AppData/Local/Yarn/bin:/mnt/c/Users/roshk/AppData/Roaming/npm:/mnt/c/Users/roshk/AppData/Local/Packages/PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0/LocalCache/local-packages/Python39/Script
LD_LIBRARY_PATH :
NUMBAPRO_NVVM :
NUMBAPRO_LIBDEVICE :
CONDA_PREFIX : /home/rashi/anaconda3/envs/rapids-21.10
PYTHON_PATH :
***conda packages***
/home/rashi/anaconda3/condabin/conda
# packages in environment at /home/rashi/anaconda3/envs/rapids-21.10:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
abseil-cpp 20210324.2 h9c3ff4c_0 conda-forge
aiohttp 3.7.4.post0 py38h497a2fe_0 conda-forge
anyio 3.3.2 py38h578d9bd_0 conda-forge
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
argon2-cffi 20.1.0 py38h497a2fe_2 conda-forge
arrow-cpp 5.0.0 py38h327e1ba_4_cuda conda-forge
arrow-cpp-proc 3.0.0 cuda conda-forge
async-timeout 3.0.1 py_1000 conda-forge
async_generator 1.10 py_0 conda-forge
attrs 21.2.0 pyhd8ed1ab_0 conda-forge
autopep8 1.5.7 pypi_0 pypi
aws-c-cal 0.5.11 h95a6274_0 conda-forge
aws-c-common 0.6.2 h7f98852_0 conda-forge
aws-c-event-stream 0.2.7 h3541f99_13 conda-forge
aws-c-io 0.10.5 hfb6a706_0 conda-forge
aws-checksums 0.1.11 ha31a3da_7 conda-forge
aws-sdk-cpp 1.8.186 hb4091e7_3 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
blazingsql 21.10.0 pypi_0 pypi
bleach 4.1.0 pyhd8ed1ab_0 conda-forge
blosc 1.21.0 h9c3ff4c_0 conda-forge
bokeh 2.4.0 py38h578d9bd_0 conda-forge
boost 1.72.0 py38h1e42940_1 conda-forge
boost-cpp 1.72.0 h312852a_5 conda-forge
brotli 1.0.9 h7f98852_5 conda-forge
brotli-bin 1.0.9 h7f98852_5 conda-forge
brotlipy 0.7.0 py38h497a2fe_1001 conda-forge
brunsli 0.1 h9c3ff4c_0 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.17.2 h7f98852_0 conda-forge
ca-certificates 2021.9.30 h06a4308_1
cachetools 4.2.4 pyhd8ed1ab_0 conda-forge
cairo 1.16.0 h6cf1ce9_1008 conda-forge
certifi 2021.5.30 py38h06a4308_0
cffi 1.14.6 py38h3931269_1 conda-forge
cfitsio 3.470 hb418390_7 conda-forge
chardet 4.0.0 py38h578d9bd_1 conda-forge
charls 2.2.0 h9c3ff4c_0 conda-forge
click 7.1.2 pyh9f0ad1d_0 conda-forge
click-plugins 1.1.1 py_0 conda-forge
cligj 0.7.2 pyhd8ed1ab_1 conda-forge
cloudpickle 2.0.0 pyhd8ed1ab_0 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
colorcet 2.0.6 pyhd8ed1ab_0 conda-forge
cryptography 3.4.7 py38ha5dfef3_0 conda-forge
cucim 21.10.00 cuda_11.2_py38_gd7ac21f_0 rapidsai
cudatoolkit 11.2.72 h2bc3f7f_0 nvidia
cudf 21.10.00 cuda_11.2_py38_g072fd862cc_0 rapidsai
cudf_kafka 21.10.00 py38_g072fd862cc_0 rapidsai
cugraph 21.10.00 cuda11.2_py38_g84617024_0 rapidsai
cuml 21.10.00 cuda11.2_py38_g0fd3503ba_0 rapidsai
cupy 9.0.0 py38ha69542f_0 conda-forge
curl 7.79.1 h2574ce0_1 conda-forge
cusignal 21.10.00 py37_gff14a10_0 rapidsai
cuspatial 21.10.00 py38_gba20298_0 rapidsai
custreamz 21.10.00 py38_g072fd862cc_0 rapidsai
cuxfilter 21.10.00 py38_g003d3d6_0 rapidsai
cycler 0.10.0 py_2 conda-forge
cyrus-sasl 2.1.27 h230043b_3 conda-forge
cytoolz 0.11.0 py38h497a2fe_3 conda-forge
dask 2021.9.1 pyhd8ed1ab_0 conda-forge
dask-core 2021.9.1 pyhd8ed1ab_0 conda-forge
dask-cuda 21.10.00 py38_0 rapidsai
dask-cudf 21.10.00 py38_g072fd862cc_0 rapidsai
datashader 0.11.1 pyh9f0ad1d_0 conda-forge
datashape 0.5.4 py_1 conda-forge
debugpy 1.4.1 py38h709712a_0 conda-forge
decorator 4.4.2 py_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
distributed 2021.9.1 py38h578d9bd_0 conda-forge
dlpack 0.5 h9c3ff4c_0 conda-forge
entrypoints 0.3 pyhd8ed1ab_1003 conda-forge
expat 2.4.1 h9c3ff4c_0 conda-forge
faiss-proc 1.0.0 cuda rapidsai
fastavro 1.4.5 py38h497a2fe_0 conda-forge
fastrlock 0.6 py38h709712a_1 conda-forge
fiona 1.8.20 py38hbb147eb_1 conda-forge
fontconfig 2.13.1 hba837de_1005 conda-forge
freetype 2.10.4 h0708190_1 conda-forge
freexl 1.0.6 h7f98852_0 conda-forge
fsspec 2021.10.0 pyhd8ed1ab_0 conda-forge
future 0.18.2 py38h578d9bd_3 conda-forge
gdal 3.3.1 py38h81a01a0_3 conda-forge
geopandas 0.9.0 pyhd8ed1ab_1 conda-forge
geopandas-base 0.9.0 pyhd8ed1ab_1 conda-forge
geos 3.9.1 h9c3ff4c_2 conda-forge
geotiff 1.6.0 h4f31c25_6 conda-forge
gettext 0.19.8.1 h73d1719_1008 conda-forge
gflags 2.2.2 he1b5a44_1004 conda-forge
giflib 5.2.1 h36c2ea0_2 conda-forge
glog 0.5.0 h48cff8f_0 conda-forge
google-cloud-cpp 1.29.0 hb967e95_1 conda-forge
greenlet 1.1.2 py38h709712a_0 conda-forge
grpc-cpp 1.39.1 h850795e_1 conda-forge
hdf4 4.2.15 h10796ff_3 conda-forge
hdf5 1.12.1 nompi_h2750804_101 conda-forge
heapdict 1.0.1 py_0 conda-forge
icu 68.1 h58526e2_0 conda-forge
idna 2.10 pyh9f0ad1d_0 conda-forge
imagecodecs 2021.7.30 py38hb5ce8f7_1 conda-forge
imageio 2.9.0 py_0 conda-forge
importlib-metadata 4.8.1 py38h578d9bd_0 conda-forge
ipykernel 6.4.1 py38h06a4308_1
ipython 7.28.0 py38he5a9106_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
ipywidgets 7.6.5 pyhd8ed1ab_0 conda-forge
jbig 2.1 h7f98852_2003 conda-forge
jedi 0.18.0 py38h578d9bd_2 conda-forge
jinja2 3.0.2 pyhd8ed1ab_0 conda-forge
joblib 1.1.0 pyhd8ed1ab_0 conda-forge
jpeg 9d h36c2ea0_0 conda-forge
jpype1 1.3.0 py38h1fd1430_0 conda-forge
json-c 0.15 h98cffda_0 conda-forge
jsonschema 4.0.1 pyhd8ed1ab_0 conda-forge
jupyter-server-proxy 3.1.0 pyhd8ed1ab_0 conda-forge
jupyter_client 7.0.6 pyhd8ed1ab_0 conda-forge
jupyter_core 4.8.1 py38h578d9bd_0 conda-forge
jupyter_server 1.11.1 pyhd8ed1ab_0 conda-forge
jupyterlab_pygments 0.1.2 pyh9f0ad1d_0 conda-forge
jupyterlab_widgets 1.0.2 pyhd8ed1ab_0 conda-forge
jxrlib 1.1 h7f98852_2 conda-forge
kealib 1.4.14 h87e4c3c_3 conda-forge
kiwisolver 1.3.2 py38h1fd1430_0 conda-forge
krb5 1.19.2 hcc1bbae_2 conda-forge
lcms2 2.12 hddcbb42_0 conda-forge
ld_impl_linux-64 2.36.1 hea4e1c9_2 conda-forge
lerc 2.2.1 h9c3ff4c_0 conda-forge
libaec 1.0.6 h9c3ff4c_0 conda-forge
libblas 3.9.0 11_linux64_openblas conda-forge
libbrotlicommon 1.0.9 h7f98852_5 conda-forge
libbrotlidec 1.0.9 h7f98852_5 conda-forge
libbrotlienc 1.0.9 h7f98852_5 conda-forge
libcblas 3.9.0 11_linux64_openblas conda-forge
libcrc32c 1.1.2 h9c3ff4c_0 conda-forge
libcucim 21.10.00 cuda11.2_gd7ac21f_0 rapidsai
libcudf 21.10.00 cuda11.2_g072fd862cc_0 rapidsai
libcudf_kafka 21.10.00 g072fd862cc_0 rapidsai
libcugraph 21.10.00 cuda11.2_g84617024_0 rapidsai
libcuml 21.10.00 cuda11.2_g0fd3503ba_0 rapidsai
libcumlprims 21.10.00 cuda11.2_g167dc59_0 nvidia
libcurl 7.79.1 h2574ce0_1 conda-forge
libcuspatial 21.10.00 cuda11.2_gba20298_0 rapidsai
libdap4 3.20.6 hd7c4107_2 conda-forge
libdeflate 1.7 h7f98852_5 conda-forge
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 h9c3ff4c_4 conda-forge
libgcc-ng 11.2.0 h1d223b6_9 conda-forge
libgcrypt 1.9.4 h7f98852_0 conda-forge
libgdal 3.3.1 h6214c1d_3 conda-forge
libgfortran-ng 11.2.0 h69a702a_9 conda-forge
libgfortran5 11.2.0 h5c6108e_9 conda-forge
libglib 2.68.4 h174f98d_1 conda-forge
libgomp 11.2.0 h1d223b6_9 conda-forge
libgpg-error 1.42 h9c3ff4c_0 conda-forge
libgsasl 1.10.0 h5b4c23d_0 conda-forge
libhwloc 2.3.0 h5e5b7d1_1 conda-forge
libiconv 1.16 h516909a_0 conda-forge
libkml 1.3.0 hd79254b_1012 conda-forge
liblapack 3.9.0 11_linux64_openblas conda-forge
libllvm10 10.0.1 he513fc3_3 conda-forge
libnetcdf 4.8.1 nompi_hb3fd0d9_101 conda-forge
libnghttp2 1.43.0 h812cca2_1 conda-forge
libntlm 1.4 h7f98852_1002 conda-forge
libopenblas 0.3.17 pthreads_h8fe5266_1 conda-forge
libpng 1.6.37 h21135ba_2 conda-forge
libpq 13.3 hd57d9b9_1 conda-forge
libprotobuf 3.16.0 h780b84a_0 conda-forge
librdkafka 1.6.1 hc49e61c_1 conda-forge
librmm 21.10.00 cuda11.2_g72ee41f_0 rapidsai
librttopo 1.1.0 h1185371_6 conda-forge
libsodium 1.0.18 h36c2ea0_1 conda-forge
libspatialindex 1.9.3 h9c3ff4c_4 conda-forge
libspatialite 5.0.1 h8694cbe_6 conda-forge
libssh2 1.10.0 ha56f1ee_2 conda-forge
libstdcxx-ng 11.2.0 he4da1e4_9 conda-forge
libthrift 0.14.2 he6d91bd_1 conda-forge
libtiff 4.3.0 hf544144_1 conda-forge
libutf8proc 2.6.1 h7f98852_0 conda-forge
libuuid 2.32.1 h7f98852_1000 conda-forge
libuv 1.42.0 h7f98852_0 conda-forge
libwebp 1.2.1 h3452ae3_0 conda-forge
libwebp-base 1.2.1 h7f98852_0 conda-forge
libxcb 1.13 h7f98852_1003 conda-forge
libxgboost 1.4.2dev.rapidsai21.10 cuda11.2_0 rapidsai
libxml2 2.9.12 h72842e0_0 conda-forge
libzip 1.8.0 h4de3113_1 conda-forge
libzlib 1.2.11 h36c2ea0_1013 conda-forge
libzopfli 1.0.3 h9c3ff4c_0 conda-forge
llvmlite 0.36.0 py38h4630a5e_0 conda-forge
locket 0.2.0 py_2 conda-forge
lz4-c 1.9.3 h9c3ff4c_1 conda-forge
mapclassify 2.4.3 pyhd8ed1ab_0 conda-forge
markdown 3.3.4 pyhd8ed1ab_0 conda-forge
markupsafe 2.0.1 py38h497a2fe_0 conda-forge
matplotlib-base 3.4.3 py38hf4fb855_1 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge
mistune 0.8.4 py38h497a2fe_1004 conda-forge
msgpack-python 1.0.2 py38h1fd1430_1 conda-forge
multidict 5.2.0 py38h497a2fe_0 conda-forge
multipledispatch 0.6.0 py_0 conda-forge
munch 2.5.0 py_0 conda-forge
nbclient 0.5.4 pyhd8ed1ab_0 conda-forge
nbconvert 6.2.0 py38h578d9bd_0 conda-forge
nbformat 5.1.3 pyhd8ed1ab_0 conda-forge
nccl 2.11.4.1 hdc17891_0 conda-forge
ncurses 6.2 h58526e2_4 conda-forge
nest-asyncio 1.5.1 pyhd8ed1ab_0 conda-forge
netifaces 0.10.9 py38h497a2fe_1003 conda-forge
networkx 2.6.3 pyhd8ed1ab_0 conda-forge
nlohmann_json 3.9.1 h9c3ff4c_1 conda-forge
nodejs 14.17.4 h92b4a50_0 conda-forge
notebook 6.4.4 pyha770c72_0 conda-forge
numba 0.53.1 py38h8b71fd7_1 conda-forge
numpy 1.21.2 py38he2449b9_0 conda-forge
nvtx 0.2.3 py38h497a2fe_0 conda-forge
olefile 0.46 pyh9f0ad1d_1 conda-forge
openjdk 8.0.302 h7f98852_0 conda-forge
openjpeg 2.4.0 hb52868f_1 conda-forge
openssl 1.1.1l h7f8727e_0
orc 1.6.10 h58a87f1_0 conda-forge
packaging 21.0 pyhd8ed1ab_0 conda-forge
pandas 1.3.3 py38h43a58ef_0 conda-forge
pandoc 2.14.2 h7f98852_0 conda-forge
pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge
panel 0.12.4 pyhd8ed1ab_0 conda-forge
param 1.11.1 pyh6c4a22f_0 conda-forge
parquet-cpp 1.5.1 2 conda-forge
parso 0.8.2 pyhd8ed1ab_0 conda-forge
partd 1.2.0 pyhd8ed1ab_0 conda-forge
pcre 8.45 h9c3ff4c_0 conda-forge
pexpect 4.8.0 pyh9f0ad1d_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 8.3.2 py38h8e6f84c_0 conda-forge
pip 21.2.4 pyhd8ed1ab_0 conda-forge
pixman 0.40.0 h36c2ea0_0 conda-forge
pooch 1.5.1 pyhd8ed1ab_0 conda-forge
poppler 21.03.0 h93df280_0 conda-forge
poppler-data 0.4.11 hd8ed1ab_0 conda-forge
postgresql 13.3 h2510834_1 conda-forge
proj 8.0.1 h277dcde_0 conda-forge
prometheus_client 0.11.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.20 pyha770c72_0 conda-forge
protobuf 3.16.0 py38h709712a_0 conda-forge
psutil 5.8.0 py38h497a2fe_1 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pure-sasl 0.6.2 pyhd8ed1ab_0 conda-forge
py-xgboost 1.4.2dev.rapidsai21.10 cuda11.2py38_0 rapidsai
pyarrow 5.0.0 py38hed47224_4_cuda conda-forge
pycodestyle 2.7.0 pypi_0 pypi
pycparser 2.20 pyh9f0ad1d_2 conda-forge
pyct 0.4.6 py_0 conda-forge
pyct-core 0.4.6 py_0 conda-forge
pydeck 0.5.0 pyh9f0ad1d_0 conda-forge
pyee 8.1.0 pyh9f0ad1d_0 conda-forge
pygments 2.10.0 pyhd8ed1ab_0 conda-forge
pyhive 0.6.4 pyhd8ed1ab_0 conda-forge
pynvml 11.0.0 pyhd8ed1ab_0 conda-forge
pyopenssl 21.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pyppeteer 0.2.6 pyhd8ed1ab_0 conda-forge
pyproj 3.1.0 py38h4df08a6_4 conda-forge
pyrsistent 0.17.3 py38h497a2fe_2 conda-forge
pysocks 1.7.1 py38h578d9bd_3 conda-forge
python 3.8.12 hb7a2778_1_cpython conda-forge
python-confluent-kafka 1.6.0 py38h497a2fe_1 conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python_abi 3.8 2_cp38 conda-forge
pytz 2021.3 pyhd8ed1ab_0 conda-forge
pyviz_comms 2.1.0 pyhd8ed1ab_0 conda-forge
pywavelets 1.1.1 py38h6c62de6_3 conda-forge
pyyaml 5.4.1 py38h497a2fe_1 conda-forge
pyzmq 22.3.0 py38h2035c66_0 conda-forge
rapids 21.10.00 cuda11.2_py38_ge66f011_114 rapidsai
rapids-blazing 21.10.00 cuda11.2_py38_ge66f011_114 rapidsai
rapids-xgboost 21.10.00 cuda11.2_py38_ge66f011_114 rapidsai
re2 2021.09.01 h9c3ff4c_0 conda-forge
readline 8.1 h46c0cb4_0 conda-forge
requests 2.25.1 pyhd3deb0d_0 conda-forge
requests-unixsocket 0.2.0 py_0 conda-forge
rmm 21.10.00 cuda_11.2_py38_g72ee41f_0 rapidsai
rtree 0.9.7 py38h02d302b_2 conda-forge
s2n 1.0.10 h9b69904_0 conda-forge
scikit-image 0.18.1 py38h51da96c_0 conda-forge
scikit-learn 1.0 py38hacb3eff_1 conda-forge
scipy 1.7.1 py38h56a6a73_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
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
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
spdlog 1.8.5 h4bd325d_0 conda-forge
sqlalchemy 1.4.25 py38h497a2fe_0 conda-forge
sqlite 3.36.0 h9cd32fc_2 conda-forge
streamz 0.6.3 pyh6c4a22f_0 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
thrift 0.14.0 py38h709712a_0 conda-forge
thrift_sasl 0.4.3 pyhd8ed1ab_1 conda-forge
tifffile 2021.8.30 pyhd8ed1ab_0 conda-forge
tiledb 2.3.4 he87e0bf_0 conda-forge
tk 8.6.11 h27826a3_1 conda-forge
toml 0.10.2 pypi_0 pypi
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
treelite 2.1.0 py38hdd725b4_0 conda-forge
treelite-runtime 2.1.0 pypi_0 pypi
typing-extensions 3.10.0.2 hd8ed1ab_0 conda-forge
typing_extensions 3.10.0.2 pyha770c72_0 conda-forge
tzcode 2021c h7f98852_0 conda-forge
tzdata 2021c he74cb21_0 conda-forge
ucx 1.11.1+gc58db6b cuda11.2_0 rapidsai
ucx-proc 1.0.0 gpu rapidsai
ucx-py 0.22.0 py38_gc58db6b_0 rapidsai
urllib3 1.26.7 pyhd8ed1ab_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
wheel 0.37.0 pyhd8ed1ab_1 conda-forge
widgetsnbextension 3.5.1 py38h578d9bd_4 conda-forge
xarray 0.19.0 pyhd8ed1ab_1 conda-forge
xerces-c 3.2.3 h9d8b166_2 conda-forge
xgboost 1.4.2dev.rapidsai21.10 cuda11.2py38_0 rapidsai
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-forge
Additional context Add any other context about the problem here.