Skip to content
This repository has been archived by the owner on Nov 17, 2023. It is now read-only.

MP: Check failed: e == cudaSuccess || e == cudaErrorCudartUnloading: CUDA: initialization error #19291

Closed
PascalIversen opened this issue Oct 5, 2020 · 2 comments
Closed

MP: Check failed: e == cudaSuccess || e == cudaErrorCudartUnloading: CUDA: initialization error #19291

PascalIversen opened this issue Oct 5, 2020 · 2 comments
Labels
Bug needs triage

Comments

@PascalIversen
Copy link

Description

I can not use mxnet with multiprocessing, using multiprocessing.set_start_method("fork").

Error Message

Process Process-2:
Traceback (most recent call last):
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap
    self.run()
Process Process-3:
Traceback (most recent call last):
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/multiprocessing/process.py", line 93, in run
    self._target(*self._args, **self._kwargs)
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap
    self.run()
  File "<ipython-input-1-b0fdee8836b8>", line 19, in worker_fn
    b = mx.nd.array([42])
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/ndarray/utils.py", line 146, in array
    return _array(source_array, ctx=ctx, dtype=dtype)
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/ndarray/ndarray.py", line 3284, in array
    arr = empty(source_array.shape, ctx, dtype)
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/multiprocessing/process.py", line 93, in run
    self._target(*self._args, **self._kwargs)
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/ndarray/ndarray.py", line 4735, in empty
    return NDArray(handle=_new_alloc_handle(shape, ctx, False, dtype))
  File "<ipython-input-1-b0fdee8836b8>", line 19, in worker_fn
    b = mx.nd.array([42])
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/ndarray/utils.py", line 146, in array
    return _array(source_array, ctx=ctx, dtype=dtype)
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/ndarray/ndarray.py", line 3284, in array
    arr = empty(source_array.shape, ctx, dtype)
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/ndarray/ndarray.py", line 4735, in empty
    return NDArray(handle=_new_alloc_handle(shape, ctx, False, dtype))
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/ndarray/ndarray.py", line 175, in _new_alloc_handle
    ctypes.byref(hdl)))
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/ndarray/ndarray.py", line 175, in _new_alloc_handle
    ctypes.byref(hdl)))
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/base.py", line 255, in check_call
    raise MXNetError(py_str(_LIB.MXGetLastError()))
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/base.py", line 255, in check_call
    raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [15:05:06] src/engine/./../common/cuda_utils.h:379: Check failed: e == cudaSuccess || e == cudaErrorCudartUnloading: CUDA: initialization error
Stack trace:
  [bt] (0) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x6e305b) [0x7faca824005b]
  [bt] (1) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x38ca4e1) [0x7facab4274e1]
  [bt] (2) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x41d0be7) [0x7facabd2dbe7]
  [bt] (3) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x41d693f) [0x7facabd3393f]
  [bt] (4) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::NDArray::NDArray(mxnet::TShape const&, mxnet::Context, bool, int)+0x566) [0x7faca8276fe6]
  [bt] (5) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(void CreateNDArray<unsigned int, unsigned int>(unsigned int const*, unsigned int, int, int, int, int, void**)+0x2f3) [0x7facab37b233]
  [bt] (6) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(MXNDArrayCreateEx+0x4a) [0x7facab37b6ea]
  [bt] (7) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/lib-dynload/../../libffi.so.6(ffi_call_unix64+0x4c) [0x7fad1104fec0]
  [bt] (8) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/lib-dynload/../../libffi.so.6(ffi_call+0x22d) [0x7fad1104f87d]


Process Process-4:
mxnet.base.MXNetError: [15:05:06] src/engine/./../common/cuda_utils.h:379: Check failed: e == cudaSuccess || e == cudaErrorCudartUnloading: CUDA: initialization error
Stack trace:
  [bt] (0) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x6e305b) [0x7faca824005b]
  [bt] (1) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x38ca4e1) [0x7facab4274e1]
  [bt] (2) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x41d0be7) [0x7facabd2dbe7]
  [bt] (3) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x41d693f) [0x7facabd3393f]
  [bt] (4) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::NDArray::NDArray(mxnet::TShape const&, mxnet::Context, bool, int)+0x566) [0x7faca8276fe6]
  [bt] (5) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(void CreateNDArray<unsigned int, unsigned int>(unsigned int const*, unsigned int, int, int, int, int, void**)+0x2f3) [0x7facab37b233]
  [bt] (6) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(MXNDArrayCreateEx+0x4a) [0x7facab37b6ea]
  [bt] (7) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/lib-dynload/../../libffi.so.6(ffi_call_unix64+0x4c) [0x7fad1104fec0]
  [bt] (8) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/lib-dynload/../../libffi.so.6(ffi_call+0x22d) [0x7fad1104f87d]


Traceback (most recent call last):
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap
    self.run()
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/multiprocessing/process.py", line 93, in run
    self._target(*self._args, **self._kwargs)
  File "<ipython-input-1-b0fdee8836b8>", line 19, in worker_fn
    b = mx.nd.array([42])
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/ndarray/utils.py", line 146, in array
    return _array(source_array, ctx=ctx, dtype=dtype)
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/ndarray/ndarray.py", line 3284, in array
    arr = empty(source_array.shape, ctx, dtype)
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/ndarray/ndarray.py", line 4735, in empty
    return NDArray(handle=_new_alloc_handle(shape, ctx, False, dtype))
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/ndarray/ndarray.py", line 175, in _new_alloc_handle
    ctypes.byref(hdl)))
  File "/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/base.py", line 255, in check_call
    raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [15:05:06] src/engine/./../common/cuda_utils.h:379: Check failed: e == cudaSuccess || e == cudaErrorCudartUnloading: CUDA: initialization error
Stack trace:
  [bt] (0) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x6e305b) [0x7faca824005b]
  [bt] (1) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x38ca4e1) [0x7facab4274e1]
  [bt] (2) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x41d0be7) [0x7facabd2dbe7]
  [bt] (3) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x41d693f) [0x7facabd3393f]
  [bt] (4) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(mxnet::NDArray::NDArray(mxnet::TShape const&, mxnet::Context, bool, int)+0x566) [0x7faca8276fe6]
  [bt] (5) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(void CreateNDArray<unsigned int, unsigned int>(unsigned int const*, unsigned int, int, int, int, int, void**)+0x2f3) [0x7facab37b233]
  [bt] (6) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so(MXNDArrayCreateEx+0x4a) [0x7facab37b6ea]
  [bt] (7) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/lib-dynload/../../libffi.so.6(ffi_call_unix64+0x4c) [0x7fad1104fec0]
  [bt] (8) /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/lib-dynload/../../libffi.so.6(ffi_call+0x22d) [0x7fad1104f87d]

To Reproduce

Steps to reproduce

import mxnet as mx

import multiprocessing as mp
mp.set_start_method("fork")
from multiprocessing import Process, Manager, Queue

with mx.gpu():
    a = mx.nd.array([42])

num_workers = 3



def worker_fn(worder_id, generator, terminate_event, exhausted_event


):
    with mx.gpu():
        b = mx.nd.array([42])

    exhausted_event.set()
    
manager = Manager()

exhausted_events = [
            manager.Event() for _ in range(num_workers)
        ]
terminate_event = manager.Event()

def gen():
    for i in range(100):
        yield i*2

processes = []
for worker_id, event in enumerate(exhausted_events):
        p = Process(
            target=worker_fn,
           args=(
                worker_id,
                gen(),
                terminate_event,
                event            ),
        )
        p.start()
        processes.append(p)

What have you tried to solve it?

  1. I tried setting mp.set_start_method("spawn"). But that does not work for my use case since generators are not pickable.
  2. removing the first with with mx.gpu() fixes the error, but I need that for my use case.

Environment

We recommend using our script for collecting the diagnositc information. Run the following command and paste the outputs below:

curl --retry 10 -s https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py | python

----------Python Info----------
Version      : 3.6.10
Compiler     : GCC 7.3.0
Build        : ('default', 'Mar 25 2020 23:51:54')
Arch         : ('64bit', '')
------------Pip Info-----------
Version      : 20.0.2
Directory    : /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/pip
----------MXNet Info-----------
Version      : 1.6.0
Directory    : /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet
Commit Hash   : 6de57440b792dca716f1214a81edf557c345fddb
Library      : ['/home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet/libmxnet.so']
Build features:
✔ CUDA
✔ CUDNN
✔ NCCL
✔ CUDA_RTC
✖ TENSORRT
✔ CPU_SSE
✔ CPU_SSE2
✔ CPU_SSE3
✔ CPU_SSE4_1
✔ CPU_SSE4_2
✖ CPU_SSE4A
✔ CPU_AVX
✖ CPU_AVX2
✔ OPENMP
✖ SSE
✔ F16C
✖ JEMALLOC
✔ BLAS_OPEN
✖ BLAS_ATLAS
✖ BLAS_MKL
✖ BLAS_APPLE
✔ LAPACK
✔ MKLDNN
✔ OPENCV
✖ CAFFE
✖ PROFILER
✔ DIST_KVSTORE
✖ CXX14
✖ INT64_TENSOR_SIZE
✔ SIGNAL_HANDLER
✖ DEBUG
✖ TVM_OP
----------System Info----------
Platform     : Linux-4.14.193-113.317.amzn1.x86_64-x86_64-with-glibc2.9
system       : Linux
node         : ip-172-16-1-38
release      : 4.14.193-113.317.amzn1.x86_64
version      : #1 SMP Thu Sep 3 19:08:08 UTC 2020
----------Hardware Info----------
machine      : x86_64
processor    : x86_64
Architecture:          x86_64
CPU op-mode(s):        32-bit, 64-bit
Byte Order:            Little Endian
CPU(s):                4
On-line CPU(s) list:   0-3
Thread(s) per core:    2
Core(s) per socket:    2
Socket(s):             1
NUMA node(s):          1
Vendor ID:             GenuineIntel
CPU family:            6
Model:                 79
Model name:            Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz
Stepping:              1
CPU MHz:               2699.820
CPU max MHz:           3000.0000
CPU min MHz:           1200.0000
BogoMIPS:              4600.13
Hypervisor vendor:     Xen
Virtualization type:   full
L1d cache:             32K
L1i cache:             32K
L2 cache:              256K
L3 cache:              46080K
NUMA node0 CPU(s):     0-3
Flags:                 fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single pti fsgsbase bmi1 hle avx2 smep bmi2 erms invpcid rtm rdseed adx xsaveopt
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0023 sec, LOAD: 0.5332 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.1042 sec, LOAD: 0.1630 sec.
Error open Gluon Tutorial(cn): https://zh.gluon.ai, <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:852)>, DNS finished in 0.12170195579528809 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0142 sec, LOAD: 0.1211 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0026 sec, LOAD: 0.3774 sec.
Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: Forbidden, DNS finished in 0.010324954986572266 sec.
----------Environment----------
KMP_DUPLICATE_LIB_OK="True"
KMP_INIT_AT_FORK="FALSE"```
@github-actions
Copy link

github-actions bot commented Oct 5, 2020

Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI, and we are glad that you are contributing to it by opening this issue.
Please make sure to include all the relevant context, and one of the @apache/mxnet-committers will be here shortly.
If you are interested in contributing to our project, let us know! Also, be sure to check out our guide on contributing to MXNet and our development guides wiki.

@leezu
Copy link
Contributor

leezu commented Oct 5, 2020

Hi @PascalIversen, due to cuda fork-safety issues you are required to fork before using any MXNet GPU features.
You can refer to #4659
I'll close this issue as duplicate for now but please re-open / comment if you have any concerns.

@leezu leezu closed this as completed Oct 5, 2020
@leezu leezu mentioned this issue Oct 5, 2020
Open
@PascalIversen PascalIversen mentioned this issue Oct 5, 2020
Closed
@leezu leezu mentioned this issue Oct 5, 2020
Open
Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.
Assignees
No one assigned
Labels
Bug needs triage
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@leezu @PascalIversen