Software versions
System info:
Python : 3.14.6 | packaged by conda-forge | (main, Aug 11 2026, 10:26:15) [GCC 14.4.0]
Platform : Linux-6.17.0-29-generic-x86_64-with-glibc2.39
GPU driver : 595.71.05
GPU devices :
GPU 0 : NVIDIA GeForce RTX 4090
Error Loading numa symbols, please install libnuma to avoid any performance issues
Package versions:
realm : (failed to detect)
legion : legion-25.12.0-75-g7b770cff5-dirty (commit: 7b770cff5b95a516c3244cc3a0500ce3720967d9)
legate : 26.06.01
cupynumeric : 26.06.01
numpy : 2.4.6
scipy : 1.16.3
numba : (failed to detect)
Legate build configuration:
build_type : Release
use_openmp : True
use_cuda : True
networks : ucx
conduit :
configure_options : --LEGATE_ARCH=arch-conda;--with-python;--with-cc=/tmp/conda-croot/legate/_build_env/bin/x86_64-conda-linux-gnu-cc;--with-cxx=/tmp/conda-croot/legate/_build_env/bin/x86_64-conda-linux-gnu-c++;--build-march=haswell;--cmake-generator=Ninja;--with-openmp;--with-cuda;--build-type=release;--with-ucx
Package details:
legate : legate 26.6.1 (installer: conda, path: /opt/conda/envs/cupynumeric/lib/python3.14/site-packages/legate)
cupynumeric : cupynumeric 26.6.1 (installer: conda, path: /opt/conda/envs/cupynumeric/lib/python3.14/site-packages/cupynumeric)
numpy : numpy 2.4.6 (installer: conda, path: /opt/conda/envs/cupynumeric/lib/python3.14/site-packages/numpy)
scipy : scipy 1.16.3 (installer: conda, path: /opt/conda/envs/cupynumeric/lib/python3.14/site-packages/scipy)
numba : (failed to detect)
Conda package details:
prefix : /opt/conda/envs/cupynumeric
cuda-version : cuda-version-13.2-he2cc418_3 (https://conda.anaconda.org/conda-forge/noarch)
legate : legate-26.06.01-cuda13_py314_ucx_gpu_g3249a596f_0 (https://conda.anaconda.org/legate/linux-64)
cupynumeric : cupynumeric-26.06.01-cuda13_py314_gpu_g7d7836ce_0 (https://conda.anaconda.org/legate/linux-64)
Jupyter notebook / Jupyter Lab version
No response
Expected behavior
cupynumeric.array([1], ndmin=10) outputs the correct result.
Observed behavior
cupynumeric.array([1], ndmin=10) causes a core dump.
Example code or instructions
import numpy as np
import cupynumeric as cp
print(np.array([1], ndmin=10))
print(cp.array([1], ndmin=10))
Stack traceback or browser console output
[[[[[[[[[[1]]]]]]]]]]
*** stack smashing detected ***: terminated
Signal 6 received by node 0, process 5283 (thread 796d08168740) - obtaining backtrace
Signal 6 received by process 5283 (thread 796d08168740) at:
stack trace: 9 frames
0x0000796d081b232f at /lib/x86_64-linux-gnu/libc.so.6
0x0000796d0820bb2c at /lib/x86_64-linux-gnu/libc.so.6
0x0000796d081b227d at /lib/x86_64-linux-gnu/libc.so.6
0x0000796d081958fe at /lib/x86_64-linux-gnu/libc.so.6
0x0000796d081967b5 at /lib/x86_64-linux-gnu/libc.so.6
0x0000796d082a3c18 at /lib/x86_64-linux-gnu/libc.so.6
0x0000796d082a4ea3 at /lib/x86_64-linux-gnu/libc.so.6
0x0000796c8399b9c5 at /opt/conda/envs/cupynumeric/lib/python3.14/site-packages/legate/core/_lib/data/../../../../../../liblegate.so.26.06.00
0x0000796c83959d16 at /opt/conda/envs/cupynumeric/lib/python3.14/site-packages/legate/core/_lib/data/../../../../../../liblegate.so.26.06.00
Aborted (core dumped)
Software versions
Jupyter notebook / Jupyter Lab version
No response
Expected behavior
cupynumeric.array([1], ndmin=10)outputs the correct result.Observed behavior
cupynumeric.array([1], ndmin=10)causes a core dump.Example code or instructions
Stack traceback or browser console output