cupy.ascontiguousarray(None) and cupy.asfortranarray(None) cause Segmentation Fault #9358
Description
Description
When calling cupy.ascontiguousarray(None) or cupy.asfortranarray(None), the process crashes with a Segmentation Fault (core dumped), whereas numpy handles it gracefully.
To Reproduce
import cupy
import numpy
print(numpy.ascontiguousarray(None)) # [None]
print(cupy.ascontiguousarray(None)) #Segmentation fault (core dumped)
print(numpy.asfortranarray(None)) # [None]
print(cupy.asfortranarray(None)) #Segmentation fault (core dumped)Installation
Conda-Forge (conda install ...)
Environment
OS : Linux-5.4.0-167-generic-x86_64-with-glibc2.31
Python Version : 3.10.18
CuPy Version : 13.6.0
CuPy Platform : NVIDIA CUDA
NumPy Version : 2.2.6
SciPy Version : 1.15.3
Cython Build Version : 3.1.3
Cython Runtime Version : None
CUDA Root : /usr/local/cuda
nvcc PATH : /usr/local/cuda/bin/nvcc
CUDA Build Version : 11080
CUDA Driver Version : 12000
CUDA Runtime Version : 11080 (linked to CuPy) / 11080 (locally installed)
CUDA Extra Include Dirs : []
cuBLAS Version : 111103
cuFFT Version : 10900
cuRAND Version : 10300
cuSOLVER Version : (11, 4, 1)
cuSPARSE Version : 11705
NVRTC Version : (11, 8)
Thrust Version : 200800
CUB Build Version : 200800
Jitify Build Version : <unknown>
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 A800 80GB PCIe
Device 0 Compute Capability : 80
Device 0 PCI Bus ID : 0000:0C:00.0
Device 1 Name : NVIDIA A800 80GB PCIe
Device 1 Compute Capability : 80
Device 1 PCI Bus ID : 0000:0D:00.0
Additional Information
No response