Rmwak opened a new issue #14479: Unable to load mxnet-cu100 on Windows 10 after install URL: https://github.com/apache/incubator-mxnet/issues/14479 Note: Providing complete information in the most concise form is the best way to get help. This issue template serves as the checklist for essential information to most of the technical issues and bug reports. For non-technical issues and feature requests, feel free to present the information in what you believe is the best form. For Q & A and discussion, please start a discussion thread at https://discuss.mxnet.io ## Description (Brief description of the problem in no more than 2 sentences.) Installed mxnet-cu100 on a new environment via pip. After the installation, a simple import mxnet throws "[WinError 126] The specified module could not be found". Regular mxnet or mxnet-mkl versions work correctly. ## Environment info (Required) name: mxnet-gpu channels: - defaults dependencies: - certifi=2019.3.9=py36_0 - pip=19.0.3=py36_0 - python=3.6.8=h9f7ef89_7 - setuptools=40.8.0=py36_0 - sqlite=3.27.2=he774522_0 - vc=14.1=h0510ff6_4 - vs2015_runtime=14.15.26706=h3a45250_0 - wheel=0.33.1=py36_0 - wincertstore=0.2=py36h7fe50ca_0 - pip: - chardet==3.0.4 - idna==2.6 - mxnet-cu100==1.4.0.post0 - numpy==1.14.6 - python-graphviz==0.8.4 - requests==2.18.4 - urllib3==1.22 prefix: C:\ProgramData\Anaconda3\envs\mxnet-gpu ``` ----------Python Info---------- Version : 3.6.8 Compiler : MSC v.1916 64 bit (AMD64) Build : ('default', 'Feb 21 2019 18:30:04') Arch : ('64bit', 'WindowsPE') ------------Pip Info----------- Version : 19.0.3 Directory : C:\ProgramData\Anaconda3\envs\mxnet-gpu\lib\site-packages\pip ----------MXNet Info----------- Hashtag not found. Not installed from pre-built package. ----------System Info---------- Platform : Windows-10-10.0.17134-SP0 system : Windows node : DESKTOP-FOVF4T5 release : 10 version : 10.0.17134 ----------Hardware Info---------- machine : AMD64 processor : Intel64 Family 6 Model 158 Stepping 10, GenuineIntel Name Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0231 sec, LOAD: 1.1175 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0695 sec, LOAD: 0.8500 sec. Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.1303 sec, LOAD: 0.8916 sec. Error open FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:852)>, DNS finished in 0.04058718681335449 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0205 sec, LOAD: 1.0213 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0465 sec, LOAD: 0.2884 sec. ``` ``` nvidia-smi Wed Mar 20 18:45:05 2019 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 419.35 Driver Version: 419.35 CUDA Version: 10.1 | |-------------------------------+----------------------+----------------------+ | GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 105... WDDM | 00000000:01:00.0 Off | N/A | | N/A 41C P8 N/A / N/A | 75MiB / 4096MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ ``` ``` nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2019 NVIDIA Corporation Built on Fri_Feb__8_19:08:26_Pacific_Standard_Time_2019 Cuda compilation tools, release 10.1, V10.1.105 ``` ## Error Message: Python 3.6.8 |Anaconda, Inc.| (default, Feb 21 2019, 18:30:04) [MSC v.1916 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import mxnet as mx Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\ProgramData\Anaconda3\envs\mxnet-gpu\lib\site-packages\mxnet\__init__.py", line 24, in <module> from .context import Context, current_context, cpu, gpu, cpu_pinned File "C:\ProgramData\Anaconda3\envs\mxnet-gpu\lib\site-packages\mxnet\context.py", line 24, in <module> from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass File "C:\ProgramData\Anaconda3\envs\mxnet-gpu\lib\site-packages\mxnet\base.py", line 213, in <module> _LIB = _load_lib() File "C:\ProgramData\Anaconda3\envs\mxnet-gpu\lib\site-packages\mxnet\base.py", line 204, in _load_lib lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL) File "C:\ProgramData\Anaconda3\envs\mxnet-gpu\lib\ctypes\__init__.py", line 348, in __init__ self._handle = _dlopen(self._name, mode) OSError: [WinError 126] The specified module could not be found ## Minimum reproducible example The error happens as soon as imported after a fresh install. ``` conda create -n mxnet-gpu python=3.6 conda activate mxnet-gpu pip install mxnet-cu100 ``` open console ``` python import mxnet as mx ``` ## Steps to reproduce (Paste the commands you ran that produced the error.) Same as before ## What have you tried to solve it? Search for the posible .dll required but not listed in the error message (without luck).
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