Repository: pytorch
Issue: Multiprocess. DataLoader worker  is killed by signal: Segmentation fault.
Labels: needs reproduction,module: crash,module: dataloader,triaged

### 🐛 Describe the bug

```-- Process 0 terminated with the following error:
Traceback (most recent call last):
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/torch/multiprocessing/spawn.py", line 74, in _wrap
    fn(i, *args)
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/easytorch/launcher/dist_wrap.py", line 43, in dist_func
    func(*args, **kwargs)
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/easytorch/launcher/launcher.py", line 35, in training_func
    raise e
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/easytorch/launcher/launcher.py", line 31, in training_func
    runner.train(cfg)
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/easytorch/core/runner.py", line 349, in train
    self.on_epoch_end(epoch)
  File "/home/seyed/PycharmProjects/step/STEP/basicts/runners/base_runner.py", line 151, in on_epoch_end
    self.validate(train_epoch=epoch)
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/easytorch/utils/dist.py", line 102, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/easytorch/core/runner.py", line 517, in validate
    for iter_index, data in enumerate(data_iter):
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/tqdm/std.py", line 1182, in __iter__
    for obj in iterable:
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 630, in __next__
    data = self._next_data()
           ^^^^^^^^^^^^^^^^^
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 1317, in _next_data
    self._shutdown_workers()
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 1442, in _shutdown_workers
    w.join(timeout=_utils.MP_STATUS_CHECK_INTERVAL)
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/multiprocessing/process.py", line 149, in join
    res = self._popen.wait(timeout)
          ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/multiprocessing/popen_fork.py", line 40, in wait
    if not wait([self.sentinel], timeout):
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/multiprocessing/connection.py", line 930, in wait
    ready = selector.select(timeout)
            ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/selectors.py", line 415, in select
    fd_event_list = self._selector.poll(timeout)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/seyed/miniconda3/envs/env/lib/python3.11/site-packages/torch/utils/data/_utils/signal_handling.py", line 66, in handler
    _error_if_any_worker_fails()
RuntimeError: DataLoader worker (pid 72618) is killed by signal: Segmentation fault.
```

### Versions

```
Collecting environment information...
PyTorch version: 2.1.0
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.3 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.22.1
Libc version: glibc-2.35

Python version: 3.11.5 (main, Sep 11 2023, 13:54:46) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-6.2.0-34-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: 
GPU 0: NVIDIA GeForce RTX 4090
GPU 1: NVIDIA GeForce RTX 4090

Nvidia driver version: 535.104.12
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture:                       x86_64
CPU op-mode(s):                     32-bit, 64-bit
Address sizes:                      39 bits physical, 48 bits virtual
Byte Order:                         Little Endian
CPU(s):                             32
On-line CPU(s) list:                0-31
Vendor ID:                          GenuineIntel
Model name:                         13th Gen Intel(R) Core(TM) i9-13900F
CPU family:                         6
Model:                              183
Thread(s) per core:                 2
Core(s) per socket:                 24
Socket(s):                          1
Stepping:                           1
CPU max MHz:                        5600.0000
CPU min MHz:                        800.0000
BogoMIPS:                           3993.60
Flags:                              fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb intel_pt sha_ni xsaveopt xsavec xgetbv1 xsaves split_lock_detect avx_vnni dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req hfi umip pku ospke waitpkg gfni vaes vpclmulqdq rdpid movdiri movdir64b fsrm md_clear serialize arch_lbr ibt flush_l1d arch_capabilities
Virtualization:                     VT-x
L1d cache:                          896 KiB (24 instances)
L1i cache:                          1.3 MiB (24 instances)
L2 cache:                           32 MiB (12 instances)
L3 cache:                           36 MiB (1 instance)
NUMA node(s):                       1
NUMA node0 CPU(s):                  0-31
Vulnerability Gather data sampling: Not affected
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 rstack overflow: Not affected
Vulnerability Spec store bypass:    Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:           Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:           Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds:                Not affected
Vulnerability Tsx async abort:      Not affected

Versions of relevant libraries:
[pip3] easy-torch==1.3.2
[pip3] numpy==1.26.0
[pip3] torch==2.1.0
[pip3] torch_geometric==2.4.0
[pip3] torchaudio==2.1.0
[pip3] torchvision==0.16.0
[pip3] triton==2.1.0
[conda] blas                      1.0                         mkl  
[conda] easy-torch                1.3.2                    pypi_0    pypi
[conda] ffmpeg                    4.3                  hf484d3e_0    pytorch
[conda] libjpeg-turbo             2.0.0                h9bf148f_0    pytorch
[conda] mkl                       2023.1.0         h213fc3f_46343  
[conda] mkl-service               2.4.0           py311h5eee18b_1  
[conda] mkl_fft                   1.3.8           py311h5eee18b_0  
[conda] mkl_random                1.2.4           py311hdb19cb5_0  
[conda] numpy                     1.26.0          py311h08b1b3b_0  
[conda] numpy-base                1.26.0          py311hf175353_0  
[conda] pytorch                   2.1.0           py3.11_cuda12.1_cudnn8.9.2_0    pytorch
[conda] pytorch-cuda              12.1                 ha16c6d3_5    pytorch
[conda] pytorch-mutex             1.0                        cuda    pytorch
[conda] torch-geometric           2.4.0                    pypi_0    pypi
[conda] torchaudio                2.1.0               py311_cu121    pytorch
[conda] torchtriton               2.1.0                     py311    pytorch
[conda] torchvision               0.16.0              py311_cu121    pytorch
```

cc @SsnL @VitalyFedyunin @ejguan @dzhulgakov