"import torch" giving error "from torch._C import *, DLL load failed: The specified module could not be found"

Question

I am currently using Python 3.5.5 on Anaconda and I am unable to import torch. It is giving me the following error in Spyder:

Python 3.5.5 |Anaconda, Inc.| (default, Mar 12 2018, 17:44:09) [MSC v.1900 
64 bit (AMD64)]
Type "copyright", "credits" or "license" for more information.

IPython 6.2.1 -- An enhanced Interactive Python.

import torch
Traceback (most recent call last):

  File "<ipython-input-1-eb42ca6e4af3>", line 1, in <module>
    import torch

  File "C:\Users\trish\Anaconda3\envs\virtual_platform\lib\site-
  packages\torch\__init__.py", line 76, in <module>
    from torch._C import *

ImportError: DLL load failed: The specified module could not be found.

Many suggestions on the internet say that the working directory should not be the same directory that the torch package is in, however I've manually set my working directory to C:/Users/trish/Downloads, and I am getting the same error.

Also I've already tried the following: reinstalling Anaconda and all packages from scratch, and I've ensured there is no duplicate "torch" folder in my directory.

Pls help! Thank you!

Answer 1

I also encountered the same problem when I used a conda environment with python 3.6.8 and pytorch installed by conda from channel -c pytorch.

Here is what worked for me:

1:) conda create -n envName python=3.6 anaconda

2:) conda update -n envName conda

3:) conda activate envName

4:) conda install pytorch torchvision cudatoolkit=9.0 -c pytorch

and then tested torch with the given code:

5:) python -c "import torch; print(torch.cuda.get_device_name(0))"

Note: 5th step will return your gpu name if you have a cuda compatible gpu

Summary: I just created a conda environment containing whole anaconda and then to tackle the issue of unmatched conda version I updated conda of new environment from the base environment and then installed pytorch in that environment and tested pytorch.

For CPU version, here is the link for my another answer: https://gist.github.com/peterjc123/6b804651288e76db7b5fabe5348e1f03#gistcomment-2842825

https://gist.github.com/peterjc123/6b804651288e76db7b5fabe5348e1f03#gistcomment-2842837

Answer 2

I had this similar problem in windows 10...

Solution:

• Download win-64/intel-openmp-2018.0.0-8.tar.bz2 from https://anaconda.org/anaconda/intel-openmp/files

• Extract it and put the dll files in Library\bin into
  C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin

• Make sure your cuda directory is added to your %PATH% environment variable

Answer 3

Had the same problem and fixed it by re-installing numpy with mkl (Intel's math kernel library) https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy

Download the right .whl for your machine. For me it was numpy‑1.14.5+mkl‑cp36‑cp36m‑win_amd64.whl (python 3.6, windows, 64-bit) and then install using pip.

pip install numpy‑1.14.5+mkl‑cp36‑cp36m‑win_amd64.whl