How to use numba in Colaboratory

问题

Anybody tried to use numba in google collaboratory? I just can not figure out how to set it up in this environment. At the moment, I'm stuck with the error library nvvm not found.

回答1:

Copy this code into cell. It works for me.

!apt-get install nvidia-cuda-toolkit
!pip3 install numba

import os
os.environ['NUMBAPRO_LIBDEVICE'] = "/usr/lib/nvidia-cuda-toolkit/libdevice"
os.environ['NUMBAPRO_NVVM'] = "/usr/lib/x86_64-linux-gnu/libnvvm.so"

from numba import cuda
import numpy as np
import time

@cuda.jit
def hello(data):
    data[cuda.blockIdx.x, cuda.threadIdx.x] = cuda.blockIdx.x

numBlocks = 5
threadsPerBlock = 10

data = np.ones((numBlocks, threadsPerBlock), dtype=np.uint8)

hello[numBlocks, threadsPerBlock](data)

print(data)

回答2:

I didn't have to install the packages @Algis suggested, but the paths to the drivers were different. So I had to do the following.

First determine the correct paths for the drivers

!find / -iname 'libdevice'
!find / -iname 'libnvvm.so'

# Output:
# /usr/local/cuda-9.2/nvvm/lib64/libnvvm.so
# /usr/local/cuda-9.2/nvvm/libdevice

Then set the paths as @Algis described

import os
os.environ['NUMBAPRO_LIBDEVICE'] = "/usr/local/cuda-9.2/nvvm/libdevice"
os.environ['NUMBAPRO_NVVM'] = "/usr/local/cuda-9.2/nvvm/lib64/libnvvm.so"

回答3:

You can do @Stan's work in one simple sweep if you have this block at the beginning of your colab notebook (this also automatically updates as CUDA gets updated)

import os
dev_lib_path = !find / -iname 'libdevice'
nvvm_lib_path = !find / -iname 'libnvvm.so'
assert len(dev_lib_path)>0, "Device Lib Missing"
assert len(nvvm_lib_path)>0, "NVVM Missing"
os.environ['NUMBAPRO_LIBDEVICE'] = dev_lib_path[0]
os.environ['NUMBAPRO_NVVM'] = nvvm_lib_path[0]

来源：https://stackoverflow.com/questions/48811248/how-to-use-numba-in-colaboratory

标签

numba

google-colaboratory

numba-pro