mxnet-cu100: can't import mxnet

[PascalIversen]

Description

I can't import mxnet

Error Message

---

OSErrorTraceback (most recent call last)
<ipython-input-3-265f02e9c062> in <module>()
----> 1 import mxnet as mx

/home/ec2-user/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/__init__.py in <module>()
     22 from __future__ import absolute_import
     23 
---> 24 from .context import Context, current_context, cpu, gpu, cpu_pinned
     25 from . import engine
     26 from .base import MXNetError

/home/ec2-user/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/context.py in <module>()
     22 import warnings
     23 import ctypes
---> 24 from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass
     25 from .base import _LIB
     26 from .base import check_call

/home/ec2-user/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/base.py in <module>()
    211 __version__ = libinfo.__version__
    212 # library instance of mxnet
--> 213 _LIB = _load_lib()
    214 
    215 # type definitions

/home/ec2-user/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/base.py in _load_lib()
    202     """Load library by searching possible path."""
    203     lib_path = libinfo.find_lib_path()
--> 204     lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL)
    205     # DMatrix functions
    206     lib.MXGetLastError.restype = ctypes.c_char_p

/home/ec2-user/anaconda3/envs/mxnet_p27/lib/python2.7/ctypes/__init__.pyc in __init__(self, name, mode, handle, use_errno, use_last_error)
    364 
    365         if handle is None:
--> 366             self._handle = _dlopen(self._name, mode)
    367         else:
    368             self._handle = handle

OSError: libcudart.so.10.0: cannot open shared object file: No such file or directory

To Reproduce

!nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130

!pip install mxnet-cu100
Successfully installed mxnet-cu100-1.5.1.post0

import mxnet

Environment

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

----------Python Info----------
('Version      :', '2.7.17')
('Compiler     :', 'GCC 7.3.0')
('Build        :', ('default', 'Oct 21 2019 19:04:46'))
('Arch         :', ('64bit', ''))
------------Pip Info-----------
('Version      :', '19.2.3')
('Directory    :', '/home/ec2-user/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/pip')
----------MXNet Info-----------
An error occured trying to import mxnet.
This is very likely due to missing missing or incompatible library files.
Traceback (most recent call last):
  File "<stdin>", line 95, in check_mxnet
  File "/home/ec2-user/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/__init__.py", line 24, in <module>
    from .context import Context, current_context, cpu, gpu, cpu_pinned
  File "/home/ec2-user/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/context.py", line 24, in <module>
    from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass
  File "/home/ec2-user/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/base.py", line 213, in <module>
    _LIB = _load_lib()
  File "/home/ec2-user/anaconda3/envs/mxnet_p27/lib/python2.7/site-packages/mxnet/base.py", line 204, in _load_lib
    lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL)
  File "/home/ec2-user/anaconda3/envs/mxnet_p27/lib/python2.7/ctypes/__init__.py", line 366, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: libcudart.so.10.0: cannot open shared object file: No such file or directory

----------System Info----------
('Platform     :', 'Linux-4.14.186-110.268.amzn1.x86_64-x86_64-with-glibc2.2.5')
('system       :', 'Linux')
('node         :', 'ip-172-16-70-68')
('release      :', '4.14.186-110.268.amzn1.x86_64')
('version      :', '#1 SMP Tue Jul 14 02:57:34 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):                2
On-line CPU(s) list:   0,1
Thread(s) per core:    1
Core(s) per socket:    2
Socket(s):             1
NUMA node(s):          1
Vendor ID:             GenuineIntel
CPU family:            6
Model:                 63
Model name:            Intel(R) Xeon(R) CPU E5-2676 v3 @ 2.40GHz
Stepping:              2
CPU MHz:               2394.735
BogoMIPS:              4789.04
Hypervisor vendor:     Xen
Virtualization type:   full
L1d cache:             32K
L1i cache:             32K
L2 cache:              256K
L3 cache:              30720K
NUMA node0 CPU(s):     0,1
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 rdtscp lm constant_tsc rep_good nopl xtopology cpuid 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 cpuid_fault invpcid_single pti fsgsbase bmi1 avx2 smep bmi2 erms invpcid xsaveopt
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0022 sec, LOAD: 0.5408 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0028 sec, LOAD: 0.5230 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0066 sec, LOAD: 0.2218 sec.
Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: Forbidden, DNS finished in 0.00168514251709 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0427 sec, LOAD: 0.0903 sec.
Error open Gluon Tutorial(cn): https://zh.gluon.ai, <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:727)>, DNS finished in 0.0439269542694 sec.
----------Environment----------```

[github-actions[bot]]

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[szha]

OSError: libcudart.so.10.0: cannot open shared object file: No such file or directory

This means that the library cannot find the CUDA 10.0 runtime library, which is part of the CUDA 10 toolkit. You will need to set the LD_LIBRARY_PATH environment variable to include the path for libcudart.so.10.0

[SarahPeterson2854]

mxnet is broken/deprecated and no fix in sight. there are no combination of dependencies that function and the project appears abandoned. Should be removed from github.