Cuda: library nvvm not found

oserror library nvvm not found windows
libnvvm cannot be found windows
conda install cudatoolkit
libnvvm cannot be found do conda install cudatoolkit windows
cuda libraries not found
cuda driver library cannot be found
pip install cudatoolkit
check cuda version windows 10

I am trying to run the code below but an error is reported:

NvvmSupportError: libNVVM cannot be found. Do conda install cudatoolkit: library nvvm not found

My development environment is: Ubuntu 17.04, Spyder/Python3.5 and I have installed via conda (numba and cudatoolkit). Nvidia GPUs (GTX 1070 and GTX 1060).

import numpy as np
from timeit import default_timer as timer
from numba import vectorize

@vectorize(["float32(float32, float32)"], target='cuda')     
def VecADD(a,b):
    return a+b        

n = 32000000
a = np.ones (n, dtype=np.float32) 
b = np.ones (n, dtype=np.float32)     
c = np.zeros(n, dtype=np.float32) 

start = timer()
C = VecADD(a,b)
print (timer() - start)

Does anyone know how to solve this problem?

What worked for me under exactly the same scenario was to include the following in the .bashrc (I'm currently using cuda-9.0). Don't be thrown off by the NUMBAPRO in the variable name - it works for numba (at least for me):

export NUMBAPRO_NVVM=/usr/local/cuda-9.0/nvvm/lib64/libnvvm.so
export NUMBAPRO_LIBDEVICE=/usr/local/cuda-9.0/nvvm/libdevice/

Update: It worked for me too. As I'm using Cuda 10.1, I have included the following lines instead of yours:

export NUMBAPRO_NVVM=/usr/local/cuda-10.1/nvvm/lib64/libnvvm.so
export NUMBAPRO_LIBDEVICE=/usr/local/cuda-10.1/nvvm/libdevice/

error: library nvvm not found, I am using Ubuntu 16.04 and I am trying to execute this code: [code]import numpy as np from timeit import default_timer as timer from numba import vectorize� It will install an extra copy of the CUDA toolkit (probably CUDA 9.0, in the anaconda directory somewhere) but that won’t hurt anything, and is the easiest way to get your numba/cuda install working. Alternatively you could try the instructions that were given at the end of the CUDA toolkit install, to create a file in /etc/ld.conf.so.d/

One Solution is:

import os

os.environ['NUMBAPRO_NVVM']      = r'C:\Program Files\NVIDIA GPU Computing 
Toolkit\CUDA\v8.0\nvvm\bin\nvvm64_31_0.dll'

os.environ['NUMBAPRO_LIBDEVICE'] = r'C:\Program Files\NVIDIA GPU Computing 
Toolkit\CUDA\v8.0\nvvm\libdevice'

Or if you are using PyCharm GO TO RUN > Edit Configuration

export NUMBAPRO_NVVM=/usr/local/cuda-{cuda version}/nvvm/lib64/libnvvm.so
export NUMBAPRO_LIBDEVICE=/usr/local/cuda-{cuda version}/nvvm/libdevice/

[BUG] "library nvvm not found" when trying to run py.test � Issue , I get library nvvm not found error (full trace below). I'm using Devuan ASCII (~= Debian Stretch), with CUDA 9.2 installed at /usr/local/cuda/� cudatoolkit: library nvvm not found My development environment is: Ubuntu 17.04, Spyder/Python3.5 and I have installed via conda (numba and cudatoolkit). Nvidia GPUs (GTX 1070 and GTX 1060).

On Ubuntu 18.04 if you install all libraries and packages from the official repository, you need to add two information on your .bashrc to allow numba to find your libraries and device:

...
export NUMBAPRO_LIBDEVICE=/usr/lib/cuda/nvvm/libdevice
export NUMBAPRO_NVVM=/usr/lib/x86_64-linux-gnu/
...

NUMBAPRO_LIBDEVICE information was extracted from the package:

$ dpkg -L nvidia-cuda-toolkit

and NUMBAPRO_NVVM from:

$ dpkg -L libnvvm3

That's it.

Numba cannot find libnvvm � Issue #3411 � numba/numba � GitHub, NvvmSupportError: libNVVM cannot be found. Do `conda install cudatoolkit`: library nvvm not found. Even though libnvvm seems installed on� Dismiss Join GitHub today. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.

I solved this problem using anaconda-navigator. You can download here: https://www.anaconda.com/distribution/

  1. Open anaconda navigator in Terminal: anaconda-navigator
  2. In anaconda navigator select Environments
  3. search for cudatoolkit
  4. select cudatoolkit
  5. click in apply

This is my cudatoolkit installed.

This is the button to click when you select a not installed package

libNVVM cannot be found, cuda driver library cannot be found pip install cudatoolkit can t find libdevice directory cuda_dir nvvm/libdevice conda install cudatoolkit numba cuda driver from that, I know I ever installed CUDA v9.0, but I still got this not found opencv_dep_CUDA_nppi_LIBRARY error, so I look for it in C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\lib\x64, I did can not get it whose name is nppi.lib,so just for a test, i create a empty file and name it nppi.lib,as I guess, I worked, but in fact, it was

In my experience, all of these CUDA (and similar driver) problems go away if you use a container from https://ngc.nvidia.com/catalog/landing.

You must ensure that you start docker with nvidia-docker instead of docker and it will enable GPU related drivers very effectively.

How do you use cudatoolkit already installed?, "NvvmSupportError: libNVVM cannot be found. Do `conda install cudatoolkit`: library nvvm not found". which I assume means Numba does not� The proper libcuda.so is installed by the driver, not the CUDA installer. It will typically be found at /usr/lib64 or some place like that. Somewhere you have either a -lcuda missing in your make process, or else the library directory search path is not set up to point to the proper location of libcuda.so on your machine.

Cuda: library nvvm not found, I am trying to run the code below but an error is reported: NvvmSupportError: libNVVM cannot be found. Do conda install cudatoolkit : library� I had an issue while building from the GPU Dockerfile that CUDA_CUDA_LIBRARY was set to NOTFOUND. There is a pull request that fixes this (#48), however it is not merged into master yet. I found the solution in opencv/opencv#6577, which

Unable to Connect Numba to CUDA Hardware on Windows 10 , However, I have not been unable to NvvmSupportError: libNvvm cannot be found. Files\NVIDIA GPU Computing Toolkit\CUDA\nvvm\lib\x64\nvvm.lib us I was not able to get the final example from Mark Harris' mandelbrot_numbapro (CUDA Python) working with CUDA Toolkit 8.0.27 when running in a Jupyter notebook packaged with Anaconda 3 under Win10 64bit.

libNVVM cannot be found, Cuda: library nvvm not found. but that solution is for linux and I'm on windows. I gather from that solution above I need to add an Environment� Hello, i want to install this source code, when i using instruction 'cmake ../nheqminer' got an exception about Could NOT find CUDA (missing: CUDA_CUDART_LIBRARY) (found version "8.0")

Comments
  • sounds like either the GPU driver or CUDA toolkit is not installed correctly. After installing the CUDA toolkit, did you set the PATH and LD_LIBRARY_PATH environment variables correctly? Did you validate the CUDA toolkit install? Are there any libnvvm libraries at /usr/local/cuda/nvvm/lib64 ?
  • I am suspecting (if I recall correctly), don't you need to specify which GPU to use first?
  • @stucash: no you don't. The code as posted works straight out of the box for me
  • @talonmies right I guess I was wrong then :)
  • I did several tests, I believe it's a PATH problem, but I still can not solve it. Anyway, I tested it on jupyter-notebook and it's working perfect, I'll use it for now. Thanks!
  • For me it worked to add those environment variables to the environment variables list under Debug Configuration within PyCharm.
  • @JEM_Mosig FYI, or anyone else who wants to access it from terminal, you can add those lines to your ~/.bashrc file - its a hidden file in your home directory
  • Thank you. Your solution worked on our HPC system (though the paths are different)
  • Installing from miniconda3 I had to use these paths: export NUMBAPRO_NVVM=/opt/miniconda3/lib/; export NUMBAPRO_LIBDEVICE=/opt/miniconda3/lib/ Also see: numba.pydata.org/numba-doc/latest/cuda/…
  • Works well. Thanks. Python 3.7, Linux mint, numba was installed by pip.