Repository: pytorch
Issue: Error in python3: double free or corruption (fasttop)
Labels: needs reproduction,module: cudnn,module: multiprocessing,module: dataloader,module: cuda,triaged,quansight-nack

Training crashes after a variable number of iterations, after a variable amount of time, and on a variable training example. I checked torch.cuda.memory_allocated() and it is only using .15GB at crash time, not close to running out of memory. I have also made sure that I am not running out of CPU memory.

Environment:
PyTorch version: 1.1.0
Is debug build: No
CUDA used to build PyTorch: 10.0.130

OS: Springdale Linux release 7.5 (Verona)
GCC version: (GCC) 4.8.5 20150623 (Red Hat 4.8.5-36)
CMake version: version 2.8.12.2

Python version: 3.7
Is CUDA available: Yes
CUDA runtime version: Could not collect
GPU models and configuration: GPU 0: GeForce GTX 1080 Ti
Nvidia driver version: 418.67
cuDNN version: /usr/lib64/libcudnn.so.6.0.21

Versions of relevant libraries:
[pip] Could not collect
[conda] blas                      1.0                         mkl  
[conda] mkl                       2019.4                      243  
[conda] mkl-service               2.0.2            py37h7b6447c_0  
[conda] mkl_fft                   1.0.14           py37ha843d7b_0  
[conda] mkl_random                1.0.2            py37hd81dba3_0  
[conda] pytorch                   1.1.0           cuda100py37he554f03_0  
[conda] torchvision               0.3.0           cuda100py37h72fc40a_0

Error Message:
```
*** Error in `python3': double free or corruption (fasttop): 0x00005646ae4e3950 ***
```

Full backtrace:
<details>

```
======= Backtrace: =========
/lib64/libc.so.6(+0x81489)[0x7f89ee3f4489]
/lib64/libcuda.so.1(+0x2027a2)[0x7f72378de7a2]
/lib64/libcuda.so.1(+0x10b202)[0x7f72377e7202]
/lib64/libcuda.so.1(+0x10b279)[0x7f72377e7279]
/lib64/libcuda.so.1(cuStreamCreate+0x18a)[0x7f7237940b8a]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/../../../../libcudnn.so.7(+0x15425c6)[0x7f898e1c55c6]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/../../../../libcudnn.so.7(+0x157b2b4)[0x7f898e1fe2b4]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/../../../../libcudnn.so.7(+0x10922fe)[0x7f898dd152fe]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/../../../../libcudnn.so.7(+0x10a0770)[0x7f898dd23770]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/../../../../libcudnn.so.7(+0x108e8e6)[0x7f898dd118e6]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/../../../../libcudnn.so.7(cudnnRNNForwardTraining+0x1c3)[0x7f898dd11c93]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/libcaffe2_gpu.so(_ZN2at6native10_cudnn_rnnERKNS_6TensorEN3c108ArrayRefIS1_EElS3_S3_S3_lllbdbbNS5_IlEES3_+0x18c4)[0x7f89b38798d4]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/libcaffe2_gpu.so(_ZNK2at8CUDAType10_cudnn_rnnERKNS_6TensorEN3c108ArrayRefIS1_EElS3_S3_S3_lllbdbbNS5_IlEES3_+0x1b3)[0x7f89b394db13]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/libtorch.so.1(_ZNK5torch8autograd12VariableType10_cudnn_rnnERKN2at6TensorEN3c108ArrayRefIS3_EElS5_S5_S5_lllbdbbNS7_IlEES5_+0xe38)[0x7f89b02e5908]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/libcaffe2_gpu.so(+0x293b19a)[0x7f89b387319a]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/libcaffe2_gpu.so(+0x293b82a)[0x7f89b387382a]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/libcaffe2.so(+0x70edbe)[0x7f89ad4f7dbe]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/libcaffe2.so(_ZN2at6native3gruERKNS_6TensorES3_N3c108ArrayRefIS1_EEbldbbb+0x119)[0x7f89ad503869]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/libcaffe2.so(_ZNK2at11TypeDefault3gruERKNS_6TensorES3_N3c108ArrayRefIS1_EEbldbbb+0xf3)[0x7f89ad87b643]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/libtorch.so.1(_ZNK5torch8autograd12VariableType3gruERKN2at6TensorES5_N3c108ArrayRefIS3_EEbldbbb+0x48a)[0x7f89b078e39a]
/n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/site-packages/torch/lib/libtorch_python.so(+0x2984e0)[0x7f89d8a784e0]
python3(_PyMethodDef_RawFastCallKeywords+0x264)[0x5646267cc004]
python3(_PyCFunction_FastCallKeywords+0x21)[0x5646267cc121]
python3(_PyEval_EvalFrameDefault+0x47f4)[0x5646268278d4]
python3(_PyEval_EvalCodeWithName+0x2f9)[0x564626768f19]
python3(_PyFunction_FastCallDict+0x1d4)[0x564626769fe4]
python3(_PyObject_Call_Prepend+0x63)[0x564626780cb3]
python3(PyObject_Call+0x6e)[0x5646267757de]
python3(_PyEval_EvalFrameDefault+0x1e3e)[0x564626824f1e]
python3(_PyEval_EvalCodeWithName+0x2f9)[0x564626768f19]
python3(_PyFunction_FastCallDict+0x1d4)[0x564626769fe4]
python3(_PyObject_Call_Prepend+0x63)[0x564626780cb3]
python3(+0x170cca)[0x5646267c3cca]
python3(_PyObject_FastCallKeywords+0x4ab)[0x5646267cc65b]
python3(_PyEval_EvalFrameDefault+0x532e)[0x56462682840e]
python3(_PyFunction_FastCallDict+0x10b)[0x564626769f1b]
python3(_PyObject_Call_Prepend+0x63)[0x564626780cb3]
python3(PyObject_Call+0x6e)[0x5646267757de]
python3(_PyEval_EvalFrameDefault+0x1e3e)[0x564626824f1e]
python3(_PyEval_EvalCodeWithName+0x2f9)[0x564626768f19]
python3(_PyFunction_FastCallDict+0x1d4)[0x564626769fe4]
python3(_PyObject_Call_Prepend+0x63)[0x564626780cb3]
python3(+0x170cca)[0x5646267c3cca]
python3(_PyObject_FastCallKeywords+0x4ab)[0x5646267cc65b]
python3(_PyEval_EvalFrameDefault+0x532e)[0x56462682840e]
python3(_PyFunction_FastCallDict+0x10b)[0x564626769f1b]
python3(_PyObject_Call_Prepend+0x63)[0x564626780cb3]
python3(+0x170cca)[0x5646267c3cca]
python3(_PyObject_FastCallKeywords+0x4ab)[0x5646267cc65b]
python3(_PyEval_EvalFrameDefault+0x4cb6)[0x564626827d96]
python3(_PyFunction_FastCallKeywords+0xfb)[0x5646267cb0ab]
python3(_PyEval_EvalFrameDefault+0x535)[0x564626823615]
python3(_PyFunction_FastCallKeywords+0xfb)[0x5646267cb0ab]
python3(_PyEval_EvalFrameDefault+0x4b64)[0x564626827c44]
python3(_PyFunction_FastCallKeywords+0xfb)[0x5646267cb0ab]
python3(_PyEval_EvalFrameDefault+0x4b64)[0x564626827c44]
python3(_PyFunction_FastCallKeywords+0xfb)[0x5646267cb0ab]
python3(_PyEval_EvalFrameDefault+0x4b64)[0x564626827c44]
python3(_PyEval_EvalCodeWithName+0xba9)[0x5646267697c9]
python3(_PyFunction_FastCallDict+0x1d4)[0x564626769fe4]
python3(_PyObject_Call_Prepend+0xde)[0x564626780d2e]
python3(PyObject_Call+0x6e)[0x5646267757de]
python3(_PyEval_EvalFrameDefault+0x1e3e)[0x564626824f1e]
======= Memory map: ========
200000000-200200000 rw-s 00000000 00:05 38318                            /dev/nvidiactl
200200000-200400000 ---p 00000000 00:00 0 
200400000-200600000 rw-s 00000000 00:05 38318                            /dev/nvidiactl
200600000-202600000 rw-s 00000000 00:05 38318                            /dev/nvidiactl
202600000-205600000 rw-s 00000000 00:05 38318                            /dev/nvidiactl
205600000-206200000 ---p 00000000 00:00 0 
206200000-206400000 rw-s 00000000 00:05 38318                            /dev/nvidiactl
206400000-206600000 rw-s 00000000 00:05 38318                            /dev/nvidiactl
206600000-206800000 rw-s 206600000 00:05 37064                           /dev/nvidia-uvm
206800000-206a00000 ---p 00000000 00:00 0 
206a00000-206c00000 rw-s 00000000 00:05 38318                            /dev/nvidiactl
206c00000-300200000 ---p 00000000 00:00 0 
10000000000-10204000000 ---p 00000000 00:00 0 
564626653000-5646266ae000 r--p 00000000 00:2c 10653642400                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/bin/python3.7
5646266ae000-56462688f000 r-xp 0005b000 00:2c 10653642400                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/bin/python3.7
56462688f000-564626935000 r--p 0023c000 00:2c 10653642400                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/bin/python3.7
564626936000-564626939000 r--p 002e2000 00:2c 10653642400                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/bin/python3.7
564626939000-5646269a2000 rw-p 002e5000 00:2c 10653642400                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/bin/python3.7
5646269a2000-5646269c3000 rw-p 00000000 00:00 0 
564626e61000-5647490a2000 rw-p 00000000 00:00 0                          [heap]
7f7194000000-7f7194021000 rw-p 00000000 00:00 0 
7f7194021000-7f7198000000 ---p 00000000 00:00 0 
7f719c000000-7f719e000000 ---p 00000000 00:00 0 
7f71a2000000-7f71ac000000 ---p 00000000 00:00 0 
7f71ac580000-7f71ac6c0000 rw-p 00000000 00:00 0 
7f71ac700000-7f71ac780000 rw-p 00000000 00:00 0 
7f71ac7c0000-7f71b2000000 rw-p 00000000 00:00 0 
7f71b2000000-7f71b4000000 ---p 00000000 00:00 0 
7f71b4000000-7f71b4021000 rw-p 00000000 00:00 0 
7f71b4021000-7f71b8000000 ---p 00000000 00:00 0 
7f71b8000000-7f71b87d9000 rw-p 00000000 00:00 0 
7f71b87d9000-7f71bc000000 ---p 00000000 00:00 0 
7f71bc000000-7f71cc000000 ---p 00000000 00:00 0 
7f71cc03e000-7f71cc73e000 rw-p 00000000 00:00 0 
7f71cc73e000-7f71cc73f000 ---p 00000000 00:00 0 
7f71cc73f000-7f71ccf3f000 rw-p 00000000 00:00 0 
7f71ccf3f000-7f71ccf40000 ---p 00000000 00:00 0 
7f71ccf40000-7f71cdc80000 rw-p 00000000 00:00 0 
7f71cdc80000-7f71ce000000 rw-p 00000000 00:00 0 
7f71ce000000-7f71e4000000 ---p 00000000 00:00 0 
7f71e4000000-7f71e4021000 rw-p 00000000 00:00 0 
7f71e4021000-7f71e8000000 ---p 00000000 00:00 0 
7f71e803e000-7f71e8e7e000 rw-p 00000000 00:00 0 
7f71e8e7e000-7f71e8e7f000 ---p 00000000 00:00 0 
7f71e8e7f000-7f71f2000000 rw-p 00000000 00:00 0 
7f71f2000000-7f71fa000000 ---p 00000000 00:00 0 
7f71fa016000-7f71fe000000 rw-p 00000000 00:00 0 
7f71fe000000-7f71fe400000 ---p 00000000 00:00 0 
7f71fe400000-7f71fe600000 rw-s 00000000 00:04 473042236                  /dev/zero (deleted)
7f71fe600000-7f7205200000 ---p 00000000 00:00 0 
7f7205200000-7f7205400000 rw-s 00000000 00:04 473042235                  /dev/zero (deleted)
7f7205400000-7f7210000000 ---p 00000000 00:00 0 
7f7210000000-7f7210021000 rw-p 00000000 00:00 0 
7f7210021000-7f7214000000 ---p 00000000 00:00 0 
7f721403a000-7f7216000000 rw-p 00000000 00:00 0 
7f7216000000-7f7216400000 ---p 00000000 00:00 0 
7f7216400000-7f7216600000 rw-s 00000000 00:04 473042230                  /dev/zero (deleted)
7f7216600000-7f7216800000 rw-s 00000000 00:05 38318                      /dev/nvidiactl
7f7216800000-7f7216a00000 rw-s 00000000 00:04 473042231                  /dev/zero (deleted)
7f7216a00000-7f7216c00000 ---p 00000000 00:00 0 
7f7216c00000-7f7216e00000 rw-s 00000000 00:05 38318                      /dev/nvidiactl
7f7216e00000-7f7217000000 ---p 00000000 00:00 0 
7f7217000000-7f7217200000 rw-s 00000000 00:04 473042233                  /dev/zero (deleted)
7f7217200000-7f72174d6000 rw-s 00000000 00:05 38318                      /dev/nvidiactl
7f72174d6000-7f7218000000 ---p 00000000 00:00 0 
7f7218000000-7f7218021000 rw-p 00000000 00:00 0 
7f7218021000-7f721c000000 ---p 00000000 00:00 0 
7f721c03e000-7f721e7fe000 rw-p 00000000 00:00 0 
7f721e7fe000-7f721e7ff000 ---p 00000000 00:00 0 
7f721e7ff000-7f721efff000 rw-p 00000000 00:00 0 
7f721efff000-7f721f000000 ---p 00000000 00:00 0 
7f721f000000-7f7220000000 rw-p 00000000 00:00 0 
7f7220000000-7f7220001000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f7220001000-7f7220002000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f7220002000-7f7220003000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f7220003000-7f7220004000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f7220004000-7f7220005000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f7220005000-7f7220006000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f7220006000-7f7220007000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f7220007000-7f7220008000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f7220008000-7f7220009000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f7220009000-7f722000a000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f722000a000-7f722000b000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f722000b000-7f722000c000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f722000c000-7f722000d000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f722000d000-7f722000e000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f722000e000-7f722000f000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f722000f000-7f7220010000 rw-s 00000000 00:05 1837                       /dev/nvidia8
7f7220010000-7f7230000000 ---p 00000000 00:00 0 
7f7230022000-7f7230222000 rw-p 00000000 00:00 0 
7f7230236000-7f72304f6000 rw-p 00000000 00:00 0 
7f723050d000-7f723090d000 rw-p 00000000 00:00 0 
7f723090d000-7f72309cd000 rw-p 00000000 00:00 0 
7f72309cd000-7f7230bcd000 rw-s 00000000 00:04 473042232                  /dev/zero (deleted)
7f7230bcd000-7f7230c8d000 rw-p 00000000 00:00 0 
7f7230c8d000-7f7230c8e000 ---p 00000000 00:00 0 
7f7230c8e000-7f723148e000 rw-p 00000000 00:00 0 
7f723148e000-7f723748e000 ---p 00000000 00:00 0 
7f723748e000-7f72374d5000 r-xp 00000000 fd:00 4009848                    /usr/lib64/libnvidia-fatbinaryloader.so.418.67
7f72374d5000-7f72376d5000 ---p 00047000 fd:00 4009848                    /usr/lib64/libnvidia-fatbinaryloader.so.418.67
7f72376d5000-7f72376d7000 rw-p 00047000 fd:00 4009848                    /usr/lib64/libnvidia-fatbinaryloader.so.418.67
7f72376d7000-7f72376dc000 rw-p 00000000 00:00 0 
7f72376dc000-7f72384c8000 r-xp 00000000 fd:00 3948133                    /usr/lib64/libcuda.so.418.67
7f72384c8000-7f72386c7000 ---p 00dec000 fd:00 3948133                    /usr/lib64/libcuda.so.418.67
7f72386c7000-7f7238841000 rw-p 00deb000 fd:00 3948133                    /usr/lib64/libcuda.so.418.67
7f7238841000-7f7238851000 rw-p 00000000 00:00 0 
7f7238869000-7f723886a000 rw-p 00000000 00:00 0 
7f723886a000-7f723886b000 rw-s 00000000 00:05 38318                      /dev/nvidiactl
7f723886b000-7f723886c000 rw-s 00000000 00:05 38318                      /dev/nvidiactl
7f723886c000-7f723886d000 rw-s 00000000 00:05 38318                      /dev/nvidiactl
7f723886d000-7f723886e000 rw-s 00000000 00:05 38318                      /dev/nvidiactl
7f723886e000-7f723886f000 rw-s 00000000 00:05 38318                      /dev/nvidiactl
7f723886f000-7f7238870000 rw-s 00000000 00:05 38318                      /dev/nvidiactl
7f7238870000-7f7238871000 rw-s 00000000 00:05 38318                      /dev/nvidiactl
7f7238871000-7f7238872000 rw-s 00000000 00:05 38318                      /dev/nvidiactl
7f7238872000-7f7238873000 rw-s 00000000 00:05 38318                      /dev/nvidiactl
7f7238873000-7f72388f3000 rw-p 00000000 00:00 0 
7f72388f3000-7f8981062000 r--s 00000000 00:2c 10717365322                /n/fs/vl/dhaller/cgraph/sexp_cache/data.mdb
7f8981062000-7f89811a2000 rw-p 00000000 00:00 0 
7f89811a2000-7f89811a3000 r--p 00000000 00:2c 10648087616                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/fcntl.cpython-37m-x86_64-linux-gnu.so
7f89811a3000-7f89811a5000 r-xp 00001000 00:2c 10648087616                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/fcntl.cpython-37m-x86_64-linux-gnu.so
7f89811a5000-7f89811a6000 r--p 00003000 00:2c 10648087616                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/fcntl.cpython-37m-x86_64-linux-gnu.so
7f89811a6000-7f89811a7000 r--p 00003000 00:2c 10648087616                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/fcntl.cpython-37m-x86_64-linux-gnu.so
7f89811a7000-7f89811a8000 rw-p 00004000 00:2c 10648087616                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/fcntl.cpython-37m-x86_64-linux-gnu.so
7f89811a8000-7f89811e8000 rw-p 00000000 00:00 0 
7f89811e8000-7f89811eb000 r--p 00000000 00:2c 10652637277                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/termios.cpython-37m-x86_64-linux-gnu.so
7f89811eb000-7f89811ec000 r-xp 00003000 00:2c 10652637277                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/termios.cpython-37m-x86_64-linux-gnu.so
7f89811ec000-7f89811ed000 r--p 00004000 00:2c 10652637277                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/termios.cpython-37m-x86_64-linux-gnu.so
7f89811ed000-7f89811ee000 r--p 00004000 00:2c 10652637277                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/termios.cpython-37m-x86_64-linux-gnu.so
7f89811ee000-7f89811f0000 rw-p 00005000 00:2c 10652637277                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/termios.cpython-37m-x86_64-linux-gnu.so
7f89811f0000-7f89812f0000 rw-p 00000000 00:00 0 
7f89812f0000-7f89812f2000 r--p 00000000 00:2c 10654000823                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/resource.cpython-37m-x86_64-linux-gnu.so
7f89812f2000-7f89812f3000 r-xp 00002000 00:2c 10654000823                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/resource.cpython-37m-x86_64-linux-gnu.so
7f89812f3000-7f89812f4000 r--p 00003000 00:2c 10654000823                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/resource.cpython-37m-x86_64-linux-gnu.so
7f89812f4000-7f89812f5000 r--p 00003000 00:2c 10654000823                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/resource.cpython-37m-x86_64-linux-gnu.so
7f89812f5000-7f89812f6000 rw-p 00004000 00:2c 10654000823                /n/fs/vl/dhaller/bin/anaconda3/envs/coq_gym/lib/python3.7/lib-dynload/resource.cpython-37m-x86_64-linux-gnu.so
7f89812f6000-7f89814b7000 rw-p 00000000 00:00 0 
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7ffe7e1d1000-7ffe7e338000 rw-p 00000000 00:00 0                          [stack]
7ffe7e358000-7ffe7e35a000 r-xp 00000000 00:00 0                          [vdso]
ffffffffff600000-ffffffffff601000 r-xp 00000000 00:00 0                  [vsyscall]
```

</details>

cc @ezyang @gchanan @zou3519 @ngimel @csarofeen @ptrblck @SsnL