Repository: pytorch
Issue: Crash on Python //  PyArrow // 
Labels: needs reproduction,triaged

### 🐛 Describe the bug

The program crashes on the launching. 

More about:
[https://gist.github.com/mironkraft/165697b6783f79fb47f8efe703572c41.js](url)

<script src="https://gist.github.com/mironkraft/165697b6783f79fb47f8efe703572c41.js"></script>

https://github.com/oobabooga/text-generation-webui/issues/2163






```
(gdb) info registers
rax            0x7fffe62135d8      140737054324184
rbx            0x7fffffff02c0      140737488290496
rcx            0xfa7d48            16416072
rdx            0xe6f298            15135384
rsi            0x7fffe62135c0      140737054324160
rdi            0x7fffffff02b8      140737488290488
rbp            0x7fffffff02c8      0x7fffffff02c8
rsp            0x7fffffff0280      0x7fffffff0280
r8             0xfc                252
r9             0x7fffe6205e98      140737054269080
r10            0x0                 0
r11            0x7fffe6212760      140737054320480
r12            0x7fffffff02d0      140737488290512
r13            0x7fffffff02b6      140737488290486
r14            0x7fffffff02b7      140737488290487
r15            0x7fffffff02f0      140737488290544
rip            0x7fffe697f278      0x7fffe697f278 <__static_initialization_and_destruction_0(int, int) [clone .constprop.0]+296>
eflags         0x10202             [ IF RF ]
cs             0x33                51
ss             0x2b                43
ds             0x0                 0
es             0x0                 0
fs             0x0                 0
gs             0x0                 0
```



### Versions


```
mmikel@mironrkaft-vmware:~/Desarrollos/text-generation-webui$ cd
vmmikel@mironrkaft-vmware:~$ wget https://raw.githubusercontent.com/pytorch/pytorch/main/torch/utils/collect_env.py
--2023-05-19 18:52:05--  https://raw.githubusercontent.com/pytorch/pytorch/main/torch/utils/collect_env.py
Resolviendo raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.110.133, 185.199.111.133, ...
Conectando con raw.githubusercontent.com (raw.githubusercontent.com)[185.199.109.133]:443... conectado.
Petición HTTP enviada, esperando respuesta... 200 OK
Longitud: 21550 (21K) [text/plain]
Guardando como: ‘collect_env.py’

collect_env.py                100%[==============================================>]  21,04K  --.-KB/s    en 0,001s  

2023-05-19 18:52:06 (22,2 MB/s) - ‘collect_env.py’ guardado [21550/21550]

vmmikel@mironrkaft-vmware:~$ python collect_env.py
Orden «python» no encontrada. Quizá quiso decir:
  la orden «python3» del paquete deb «python3»
  la orden «python» del paquete deb «python-is-python3»
vmmikel@mironrkaft-vmware:~$ python3 collect_env.py
Collecting environment information...
PyTorch version: 2.0.1+cu117
Is debug build: False
CUDA used to build PyTorch: 11.7
ROCM used to build PyTorch: N/A

OS: Ubuntu 23.04 (x86_64)
GCC version: (Ubuntu 12.2.0-17ubuntu1) 12.2.0
Clang version: Could not collect
CMake version: version 3.26.3
Libc version: glibc-2.37

Python version: 3.11.2 (main, Mar 13 2023, 12:18:29) [GCC 12.2.0] (64-bit runtime)
Python platform: Linux-6.2.0-20-generic-x86_64-with-glibc2.37
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Arquitectura:                        x86_64
modo(s) de operación de las CPUs:    32-bit, 64-bit
Address sizes:                       40 bits physical, 48 bits virtual
Orden de los bytes:                  Little Endian
CPU(s):                              4
Lista de la(s) CPU(s) en línea:      0-3
ID de fabricante:                    AuthenticAMD
Nombre del modelo:                   AMD A6-3620 APU with Radeon(tm) HD Graphics
Familia de CPU:                      18
Modelo:                              1
Hilo(s) de procesamiento por núcleo: 1
Núcleo(s) por «socket»:              1
«Socket(s)»                          4
Revisión:                            0
BogoMIPS:                            4392,01
Indicadores:                         fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm 3dnowext 3dnow constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid tsc_known_freq pni cx16 popcnt hypervisor lahf_lm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw vmmcall arat
Fabricante del hipervisor:           VMware
Tipo de virtualización:              lleno
Caché L1d:                           256 KiB (4 instances)
Caché L1i:                           256 KiB (4 instances)
Caché L2:                            4 MiB (4 instances)
Modo(s) NUMA:                        1
CPU(s) del nodo NUMA 0:              0-3
Vulnerability Itlb multihit:         Not affected
Vulnerability L1tf:                  Not affected
Vulnerability Mds:                   Not affected
Vulnerability Meltdown:              Not affected
Vulnerability Mmio stale data:       Not affected
Vulnerability Retbleed:              Not affected
Vulnerability Spec store bypass:     Not affected
Vulnerability Spectre v1:            Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:            Mitigation; Retpolines, STIBP disabled, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds:                 Not affected
Vulnerability Tsx async abort:       Not affected

Versions of relevant libraries:
[pip3] numpy==1.24.3
[pip3] torch==2.0.1
[pip3] torchaudio==2.0.2
[pip3] torchvision==0.15.2
[pip3] triton==2.0.0
[conda] blas                      1.0                         mkl  
[conda] mkl                       2023.1.0         h6d00ec8_46342  
[conda] mkl-service               2.4.0           py310h5eee18b_1  
[conda] mkl_fft                   1.3.6           py310h1128e8f_1  
[conda] mkl_random                1.2.2           py310h1128e8f_1  
[conda] numpy                     1.24.3          py310h5f9d8c6_1  
[conda] numpy-base                1.24.3          py310hb5e798b_1  
vmmikel@mironrkaft-vmware:~$ 
```
```