Runtime compilation failed - CUDA synchronization primitives are only supported for sm_70 and up #8260
Description
Description
/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/_logic/truth.py:52: in all
return a.all(axis=axis, out=out, keepdims=keepdims)
a = array([[ True, False],
[ True, True],
[ True, True],
[ True, True],
[ True, True]])
axis = None
keepdims = False
out = None
cupy/_core/core.pyx:1169: in cupy._core.core._ndarray_base.all
???
cupy/_core/core.pyx:1171: in cupy._core.core._ndarray_base.all
???
cupy/_core/_routines_logic.pyx:8: in cupy._core._routines_logic._ndarray_all
???
cupy/_core/_reduction.pyx:618: in cupy._core._reduction._SimpleReductionKernel.__call__
???
cupy/_core/_reduction.pyx:370: in cupy._core._reduction._AbstractReductionKernel._call
???
cupy/_core/_cub_reduction.pyx:689: in cupy._core._cub_reduction._try_to_call_cub_reduction
???
cupy/_core/_cub_reduction.pyx:526: in cupy._core._cub_reduction._launch_cub
???
cupy/_core/_cub_reduction.pyx:461: in cupy._core._cub_reduction._cub_two_pass_launch
???
cupy/_util.pyx:64: in cupy._util.memoize.decorator.ret
???
cupy/_core/_cub_reduction.pyx:240: in cupy._core._cub_reduction._SimpleCubReductionKernel_get_cached_function
???
cupy/_core/_cub_reduction.pyx:223: in cupy._core._cub_reduction._create_cub_reduction_function
???
cupy/_core/core.pyx:2254: in cupy._core.core.compile_with_cache
???
/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/cuda/compiler.py:484: in _compile_module_with_cache
return _compile_with_cache_cuda(
arch = None
backend = 'nvrtc'
cache_dir = None
cache_in_memory = False
enable_cooperative_groups = False
extra_source = '/* Copyright 2008-2013 NVIDIA Corporation\n * Copyright 2013 Filipe RNC Maia\n *\n * Licensed under the Apache Lic...)\n#define CUDART_NAN __longlong_as_double(0xfff8000000000000ULL)\n\n\n#endif // CUPY_MATH_CONSTANTS_H\n'
jitify = True
log_stream = None
name_expressions = None
options = ('-I/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/_core/include/cupy/_cccl/cub', '-I/home/lu...packages/cupy/_core/include/cupy/_cccl/libcudacxx', '-DFIRST_PASS=1', '--std=c++11', '-DCUB_DISABLE_BF16_SUPPORT', ...)
source = '#include <cupy/cuda_workaround.h>\n#include <cupy/complex.cuh>\n#include <cupy/carray.cuh>\n#include <cupy/atomics.cu...ge\n }\n\n if (_tid == 0) {\n type_mid_out& out0 = *(_out0 + blockIdx.x);\n POST_MAP(aggregate);\n }\n}\n'
/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/cuda/compiler.py:562: in _compile_with_cache_cuda
ptx, mapping = compile_using_nvrtc(
arch = '61'
backend = 'nvrtc'
base = '//\n// Generated by NVIDIA NVVM Compiler\n//\n// Compiler Build ID: CL-31968024\n// Cuda compilation tools, release 12.0, V12.0.76\n// Based on NVVM 7.0.1\n//'
cache_dir = '/home/lucas/.cupy/kernel_cache'
cache_in_memory = False
cu_name = 'f6e5d8b89fedaa52df30d2fdeab874d1544d8996.cubin.cu'
enable_cooperative_groups = False
env = ('61', ('-I/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/_core/include/cupy/_cccl/cub', '-I/...udacxx', '-DFIRST_PASS=1', '--std=c++11', '-DCUB_DISABLE_BF16_SUPPORT', ...), (12, 0), 'nvrtc', '-arch=sm_61', 'cubin')
extra_source = '/* Copyright 2008-2013 NVIDIA Corporation\n * Copyright 2013 Filipe RNC Maia\n *\n * Licensed under the Apache Lic...)\n#define CUDART_NAN __longlong_as_double(0xfff8000000000000ULL)\n\n\n#endif // CUPY_MATH_CONSTANTS_H\n'
is_jitify_requested = False
jitify = True
key_src = b'(\'61\', (\'-I/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/_core/include/cupy/_cccl/cub\'...)\n#define CUDART_NAN __longlong_as_double(0xfff8000000000000ULL)\n\n\n#endif // CUPY_MATH_CONSTANTS_H\n'
log_stream = None
mod = <cupy.cuda.function.Module object at 0x7a5f92cf6180>
name = 'f6e5d8b89fedaa52df30d2fdeab874d1544d8996.cubin'
name_expressions = None
options = ('-I/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/_core/include/cupy/_cccl/cub', '-I/home/lu...packages/cupy/_core/include/cupy/_cccl/libcudacxx', '-DFIRST_PASS=1', '--std=c++11', '-DCUB_DISABLE_BF16_SUPPORT', ...)
path = '/home/lucas/.cupy/kernel_cache/f6e5d8b89fedaa52df30d2fdeab874d1544d8996.cubin'
source = '#include <cupy/cuda_workaround.h>\n#include <cupy/complex.cuh>\n#include <cupy/carray.cuh>\n#include <cupy/atomics.cu...ge\n }\n\n if (_tid == 0) {\n type_mid_out& out0 = *(_out0 + blockIdx.x);\n POST_MAP(aggregate);\n }\n}\n'
/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/cuda/compiler.py:319: in compile_using_nvrtc
return _compile(source, options, cu_path,
_compile = <function compile_using_nvrtc.<locals>._compile at 0x7a5f92ced080>
arch = '61'
cache_in_memory = False
cu_file = <_io.TextIOWrapper name='/tmp/tmp8irf01i3/f6e5d8b89fedaa52df30d2fdeab874d1544d8996.cubin.cu' mode='w' encoding='ANSI_X3.4-1968'>
cu_path = '/tmp/tmp8irf01i3/f6e5d8b89fedaa52df30d2fdeab874d1544d8996.cubin.cu'
filename = 'f6e5d8b89fedaa52df30d2fdeab874d1544d8996.cubin.cu'
jitify = True
log_stream = None
name_expressions = None
options = ('-I/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/_core/include/cupy/_cccl/cub', '-I/home/lu...packages/cupy/_core/include/cupy/_cccl/libcudacxx', '-DFIRST_PASS=1', '--std=c++11', '-DCUB_DISABLE_BF16_SUPPORT', ...)
root_dir = '/tmp/tmp8irf01i3'
source = '#include <cupy/cuda_workaround.h>\n#include <cupy/complex.cuh>\n#include <cupy/carray.cuh>\n#include <cupy/atomics.cu...ge\n }\n\n if (_tid == 0) {\n type_mid_out& out0 = *(_out0 + blockIdx.x);\n POST_MAP(aggregate);\n }\n}\n'
/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/cuda/compiler.py:284: in _compile
options, headers, include_names = _jitify_prep(
arch = '61'
cu_path = '/tmp/tmp8irf01i3/f6e5d8b89fedaa52df30d2fdeab874d1544d8996.cubin.cu'
jitify = True
log_stream = None
name_expressions = None
options = ('-I/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/_core/include/cupy/_cccl/cub', '-I/home/lu...packages/cupy/_core/include/cupy/_cccl/libcudacxx', '-DFIRST_PASS=1', '--std=c++11', '-DCUB_DISABLE_BF16_SUPPORT', ...)
source = '#include <cupy/cuda_workaround.h>\n#include <cupy/complex.cuh>\n#include <cupy/carray.cuh>\n#include <cupy/atomics.cu...ge\n }\n\n if (_tid == 0) {\n type_mid_out& out0 = *(_out0 + blockIdx.x);\n POST_MAP(aggregate);\n }\n}\n'
/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/cuda/compiler.py:233: in _jitify_prep
jitify._init_module()
core = <module 'cupy._core.core' from '/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/_core/core.cpython-311-x86_64-linux-gnu.so'>
cu_path = '/tmp/tmp8irf01i3/f6e5d8b89fedaa52df30d2fdeab874d1544d8996.cubin.cu'
jitify = <module 'cupy.cuda.jitify' from '/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/cuda/jitify.cpython-311-x86_64-linux-gnu.so'>
options = ('-I/home/lucas/mambaforge/envs/scipy-dev/lib/python3.11/site-packages/cupy/_core/include/cupy/_cccl/cub', '-I/home/lu...packages/cupy/_core/include/cupy/_cccl/libcudacxx', '-DFIRST_PASS=1', '--std=c++11', '-DCUB_DISABLE_BF16_SUPPORT', ...)
source = '#include <cupy/cuda_workaround.h>\n#include <cupy/complex.cuh>\n#include <cupy/carray.cuh>\n#include <cupy/atomics.cu...ge\n }\n\n if (_tid == 0) {\n type_mid_out& out0 = *(_out0 + blockIdx.x);\n POST_MAP(aggregate);\n }\n}\n'
cupy/cuda/jitify.pyx:212: in cupy.cuda.jitify._init_module
???
cupy/cuda/jitify.pyx:233: in cupy.cuda.jitify._init_module
???
cupy/cuda/jitify.pyx:209: in cupy.cuda.jitify._init_cupy_headers
???
cupy/cuda/jitify.pyx:192: in cupy.cuda.jitify._init_cupy_headers_from_scratch
???
cupy/cuda/jitify.pyx:264: in cupy.cuda.jitify.jitify
???
E RuntimeError: Runtime compilation failed
------------------------------------------------------------------------------------------- Captured stdout call -------------------------------------------------------------------------------------------
---------------------------------------------------
--- JIT compile log for cupy_jitify_exercise ---
---------------------------------------------------
cub/util_cpp_dialect.cuh(143): warning #161-D: unrecognized #pragma
Remark: The warnings can be suppressed with "-diag-suppress <warning-number>"
std/barrier(16): catastrophic error: #error directive: "CUDA synchronization primitives are only supported for sm_70 and up."
1 catastrophic error detected in the compilation of "cupy_jitify_exercise".
Compilation terminated.
---------------------------------------------------
To Reproduce
import cupy
x = cupy.array([1, 2])
cupy.all(x)Installation
Conda-Forge (conda install ...)
Environment
OS : Linux-6.5.0-26-generic-x86_64-with-glibc2.35
Python Version : 3.11.8
CuPy Version : 13.0.0
CuPy Platform : NVIDIA CUDA
NumPy Version : 1.26.4
SciPy Version : None
Cython Build Version : 0.29.37
Cython Runtime Version : 3.0.9
CUDA Root : /usr/local/cuda
nvcc PATH : /usr/local/cuda/bin/nvcc
CUDA Build Version : 12000
CUDA Driver Version : 12000
CUDA Runtime Version : 12000 (linked to CuPy) / 12040 (locally installed)
cuBLAS Version : (available)
cuFFT Version : 11000
cuRAND Version : 10301
cuSOLVER Version : (11, 4, 2)
cuSPARSE Version : (available)
NVRTC Version : (12, 4)
Thrust Version : 200001
CUB Build Version : 200200
Jitify Build Version : c08b8c6
cuDNN Build Version : None
cuDNN Version : None
NCCL Build Version : None
NCCL Runtime Version : None
cuTENSOR Version : None
cuSPARSELt Build Version : None
Device 0 Name : NVIDIA GeForce GTX 1060 6GB
Device 0 Compute Capability : 61
Device 0 PCI Bus ID : 0000:08:00.0
Additional Information
my env:
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
accessible-pygments 0.0.4 pyhd8ed1ab_0 conda-forge
alabaster 0.7.16 pyhd8ed1ab_0 conda-forge
alsa-lib 1.2.11 hd590300_1 conda-forge
anyio 4.3.0 pyhd8ed1ab_0 conda-forge
argon2-cffi 23.1.0 pyhd8ed1ab_0 conda-forge
argon2-cffi-bindings 21.2.0 py311h459d7ec_4 conda-forge
array-api-strict 1.1 pyhd8ed1ab_0 conda-forge
arrow 1.3.0 pyhd8ed1ab_0 conda-forge
asttokens 2.4.1 pyhd8ed1ab_0 conda-forge
asv 0.6.3 py311hb755f60_0 conda-forge
asv_runner 0.2.1 pyhd8ed1ab_0 conda-forge
attr 2.5.1 h166bdaf_1 conda-forge
attrs 23.2.0 pyh71513ae_0 conda-forge
babel 2.14.0 pyhd8ed1ab_0 conda-forge
backports.zoneinfo 0.2.1 py311h38be061_8 conda-forge
beautifulsoup4 4.12.3 pyha770c72_0 conda-forge
beniget 0.4.1 pyhd8ed1ab_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 hdade7a5_3 conda-forge
bleach 6.1.0 pyhd8ed1ab_0 conda-forge
brotli 1.1.0 hd590300_1 conda-forge
brotli-bin 1.1.0 hd590300_1 conda-forge
brotli-python 1.1.0 py311hb755f60_1 conda-forge
bzip2 1.0.8 hd590300_5 conda-forge
c-compiler 1.7.0 hd590300_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
cairo 1.18.0 h3faef2a_0 conda-forge
certifi 2024.2.2 pyhd8ed1ab_0 conda-forge
cffi 1.16.0 py311hb3a22ac_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
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
colorlog 6.8.2 py311h38be061_0 conda-forge
comm 0.2.2 pyhd8ed1ab_0 conda-forge
compilers 1.7.0 ha770c72_0 conda-forge
contourpy 1.2.0 py311h9547e67_0 conda-forge
coverage 7.4.4 py311h459d7ec_0 conda-forge
cuda-nvrtc 12.0.76 hd3aeb46_2 conda-forge
cuda-version 12.0 hffde075_3 conda-forge
cupy 13.0.0 py311h8a5e998_3 conda-forge
cupy-core 13.0.0 py311h84cfafc_3 conda-forge
cxx-compiler 1.7.0 h00ab1b0_0 conda-forge
cycler 0.12.1 pyhd8ed1ab_0 conda-forge
cython 3.0.9 py311hb755f60_0 conda-forge
cython-lint 0.16.0 pyhd8ed1ab_0 conda-forge
dbus 1.13.6 h5008d03_3 conda-forge
debugpy 1.8.1 py311hb755f60_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
docutils 0.20.1 py311h38be061_3 conda-forge
doit 0.36.0 pyhd8ed1ab_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 2.6.2 h59595ed_0 conda-forge
fastrlock 0.8.2 py311hb755f60_2 conda-forge
filelock 3.13.2 pyhd8ed1ab_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 4.50.0 py311h459d7ec_0 conda-forge
fortran-compiler 1.7.0 heb67821_0 conda-forge
fqdn 1.5.1 pyhd8ed1ab_0 conda-forge
freetype 2.12.1 h267a509_2 conda-forge
gast 0.5.4 pyhd8ed1ab_0 conda-forge
gcc 12.3.0 h95e488c_3 conda-forge
gcc_impl_linux-64 12.3.0 he2b93b0_5 conda-forge
gcc_linux-64 12.3.0 h6477408_3 conda-forge
gettext 0.21.1 h27087fc_0 conda-forge
gfortran 12.3.0 h7389182_3 conda-forge
gfortran_impl_linux-64 12.3.0 hfcedea8_5 conda-forge
gfortran_linux-64 12.3.0 h617cb40_3 conda-forge
gh 2.45.0 ha8f183a_0 conda-forge
glib 2.80.0 hf2295e7_1 conda-forge
glib-tools 2.80.0 hde27a5a_1 conda-forge
gmp 6.3.0 h59595ed_1 conda-forge
gmpy2 2.1.2 py311h6a5fa03_1 conda-forge
graphite2 1.3.13 h58526e2_1001 conda-forge
greenlet 3.0.3 py311hb755f60_0 conda-forge
gst-plugins-base 1.22.9 hfa15dee_1 conda-forge
gstreamer 1.22.9 h98fc4e7_1 conda-forge
gxx 12.3.0 h95e488c_3 conda-forge
gxx_impl_linux-64 12.3.0 he2b93b0_5 conda-forge
gxx_linux-64 12.3.0 h4a1b8e8_3 conda-forge
harfbuzz 8.3.0 h3d44ed6_0 conda-forge
hypothesis 6.99.13 pyha770c72_0 conda-forge
icu 73.2 h59595ed_0 conda-forge
idna 3.6 pyhd8ed1ab_0 conda-forge
imagesize 1.4.1 pyhd8ed1ab_0 conda-forge
importlib-metadata 7.1.0 pyha770c72_0 conda-forge
importlib_metadata 7.1.0 hd8ed1ab_0 conda-forge
importlib_resources 6.4.0 pyhd8ed1ab_0 conda-forge
iniconfig 2.0.0 pyhd8ed1ab_0 conda-forge
ipykernel 6.29.3 pyhd33586a_0 conda-forge
ipython 8.22.2 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
json5 0.9.24 pyhd8ed1ab_0 conda-forge
jsonpointer 2.4 py311h38be061_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-cache 1.0.0 pyhd8ed1ab_0 conda-forge
jupyter_client 8.6.1 pyhd8ed1ab_0 conda-forge
jupyter_core 5.7.2 py311h38be061_0 conda-forge
jupyter_events 0.10.0 pyhd8ed1ab_0 conda-forge
jupyter_server 2.13.0 pyhd8ed1ab_0 conda-forge
jupyter_server_terminals 0.5.3 pyhd8ed1ab_0 conda-forge
jupyterlab_pygments 0.3.0 pyhd8ed1ab_1 conda-forge
jupyterlab_server 2.25.4 pyhd8ed1ab_0 conda-forge
jupyterlite-core 0.2.3 pyhd8ed1ab_0 conda-forge
jupyterlite-sphinx 0.13.1 pyhd8ed1ab_0 conda-forge
jupytext 1.16.1 pyhd8ed1ab_0 conda-forge
kernel-headers_linux-64 2.6.32 he073ed8_17 conda-forge
keyutils 1.6.1 h166bdaf_0 conda-forge
kiwisolver 1.4.5 py311h9547e67_1 conda-forge
krb5 1.21.2 h659d440_0 conda-forge
lame 3.100 h166bdaf_1003 conda-forge
lcms2 2.16 hb7c19ff_0 conda-forge
ld_impl_linux-64 2.40 h41732ed_0 conda-forge
lerc 4.0.0 h27087fc_0 conda-forge
libblas 3.9.0 21_linux64_openblas conda-forge
libbrotlicommon 1.1.0 hd590300_1 conda-forge
libbrotlidec 1.1.0 hd590300_1 conda-forge
libbrotlienc 1.1.0 hd590300_1 conda-forge
libcap 2.69 h0f662aa_0 conda-forge
libcblas 3.9.0 21_linux64_openblas conda-forge
libclang-cpp15 15.0.7 default_h127d8a8_5 conda-forge
libclang13 18.1.2 default_h5d6823c_1 conda-forge
libcublas 12.0.1.189 hd3aeb46_3 conda-forge
libcufft 11.0.0.21 hd3aeb46_2 conda-forge
libcups 2.3.3 h4637d8d_4 conda-forge
libcurand 10.3.1.50 hd3aeb46_1 conda-forge
libcusolver 11.4.2.57 hd3aeb46_2 conda-forge
libcusparse 12.0.0.76 hd3aeb46_2 conda-forge
libdeflate 1.20 hd590300_0 conda-forge
libedit 3.1.20191231 he28a2e2_2 conda-forge
libevent 2.1.12 hf998b51_1 conda-forge
libexpat 2.6.2 h59595ed_0 conda-forge
libffi 3.4.2 h7f98852_5 conda-forge
libflac 1.4.3 h59595ed_0 conda-forge
libgcc-devel_linux-64 12.3.0 h8bca6fd_105 conda-forge
libgcc-ng 13.2.0 h807b86a_5 conda-forge
libgcrypt 1.10.3 hd590300_0 conda-forge
libgfortran-ng 13.2.0 h69a702a_5 conda-forge
libgfortran5 13.2.0 ha4646dd_5 conda-forge
libglib 2.80.0 hf2295e7_1 conda-forge
libgomp 13.2.0 h807b86a_5 conda-forge
libgpg-error 1.48 h71f35ed_0 conda-forge
libiconv 1.17 hd590300_2 conda-forge
libjpeg-turbo 3.0.0 hd590300_1 conda-forge
liblapack 3.9.0 21_linux64_openblas conda-forge
libllvm15 15.0.7 hb3ce162_4 conda-forge
libllvm18 18.1.2 h2448989_0 conda-forge
libnsl 2.0.1 hd590300_0 conda-forge
libnvjitlink 12.0.76 hd3aeb46_2 conda-forge
libogg 1.3.4 h7f98852_1 conda-forge
libopenblas 0.3.26 pthreads_h413a1c8_0 conda-forge
libopus 1.3.1 h7f98852_1 conda-forge
libpng 1.6.43 h2797004_0 conda-forge
libpq 16.2 h33b98f1_1 conda-forge
libsanitizer 12.3.0 h0f45ef3_5 conda-forge
libsndfile 1.2.2 hc60ed4a_1 conda-forge
libsodium 1.0.18 h36c2ea0_1 conda-forge
libsqlite 3.45.2 h2797004_0 conda-forge
libstdcxx-devel_linux-64 12.3.0 h8bca6fd_105 conda-forge
libstdcxx-ng 13.2.0 h7e041cc_5 conda-forge
libsystemd0 255 h3516f8a_1 conda-forge
libtiff 4.6.0 h1dd3fc0_3 conda-forge
libuuid 2.38.1 h0b41bf4_0 conda-forge
libvorbis 1.3.7 h9c3ff4c_0 conda-forge
libwebp-base 1.3.2 hd590300_0 conda-forge
libxcb 1.15 h0b41bf4_0 conda-forge
libxcrypt 4.4.36 hd590300_1 conda-forge
libxkbcommon 1.7.0 h662e7e4_0 conda-forge
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