Repository: pytorch
Issue: died with <Signals.SIGSEGV: 11>
Labels: oncall: distributed,triaged

```
  File "/opt/tiger/conda/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/opt/tiger/conda/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/opt/tiger/conda/lib/python3.7/site-packages/torch/distributed/launch.py", line 263, in <module>
    main()
  File "/opt/tiger/conda/lib/python3.7/site-packages/torch/distributed/launch.py", line 259, in main
    cmd=cmd)
subprocess.CalledProcessError: Command '['/opt/tiger/conda/bin/python3', '-u', 'train_imagenet.py', '--local_rank=7', '--save-dir', './fixArch_model/fixArch_model_0718_1817', '--epochs', '180', '--warmup-epoch', '5', '--total-batch-size', '1024', '--lr-strategy', 'warmup_cosine', '--weight-decay', '1e-5', '--dropout_rate', '0.0001', '--lr', '0.4', '--arch', 'nnflow_model_v2_woSE', '--image-size', '224', '--flops', '27.3', '--mix-prob', '0.0', '--mixup', '0.2', '--model-ema', '--data', '/opt/tiger', '--distill_type', 'KdPixelWise', '--teacher', 'resnet152d', '--teacher_checkpoint', 'resnet152d.pth', '--resume', './fixArch_model/fixArch_model_0718_1817/model.pth.tar']' died with <Signals.SIGSEGV: 11>.
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
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```


```
Collecting environment information...
PyTorch version: 1.5.0
Is debug build: False
CUDA used to build PyTorch: 10.2
ROCM used to build PyTorch: N/A

OS: Debian GNU/Linux 10 (buster) (x86_64)
GCC version: (Debian 8.3.0-6) 8.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.10

Python version: 3.7.4 (default, Aug 13 2019, 20:35:49)  [GCC 7.3.0] (64-bit runtime)
Python platform: Linux-4.19.117.bsk.6-amd64-x86_64-with-debian-10.3
Is CUDA available: True
CUDA runtime version: 10.2.89
GPU models and configuration:
GPU 0: Tesla V100-SXM2-32GB
GPU 1: Tesla V100-SXM2-32GB
GPU 2: Tesla V100-SXM2-32GB
GPU 3: Tesla V100-SXM2-32GB
GPU 4: Tesla V100-SXM2-32GB
GPU 5: Tesla V100-SXM2-32GB
GPU 6: Tesla V100-SXM2-32GB
GPU 7: Tesla V100-SXM2-32GB

Nvidia driver version: 450.80.02
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip3] numpy==1.18.1
[pip3] torch==1.5.0
[pip3] torchvision==0.6.0
[conda] blas                      1.0                         mkl
[conda] mkl                       2020.0                      166
[conda] mkl-service               2.3.0            py37he904b0f_0
[conda] mkl_fft                   1.0.15           py37ha843d7b_0
[conda] mkl_random                1.1.0            py37hd6b4f25_0
[conda] numpy                     1.18.1           py37h4f9e942_0
[conda] numpy-base                1.18.1           py37hde5b4d6_1
[conda] torch                     1.5.0                    pypi_0    pypi
[conda] torchvision               0.6.0                    pypi_0    pypi
```

cc @pietern @mrshenli @pritamdamania87 @zhaojuanmao @satgera @rohan-varma @gqchen @aazzolini @osalpekar @jiayisuse @agolynski @SciPioneer @H-Huang @mrzzd @cbalioglu @gcramer23