Numbapro 停止在 gpu 上工作答案

【问题标题】：Numbapro stopped working on the gpuNumbapro 停止在 gpu 上工作
【发布时间】：2014-12-08 20:39:42
【问题描述】：

我正在尝试运行以下程序：

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


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

def main():
        N = 32e6

        A = np.ones(N, dtype=np.float32)
        B = np.ones(N, dtype=np.float32)
        C = np.zeros(N, dtype=np.float32)


        start = timer()
        C = VectorAdd(A, B, C)
        vectoradd_time = timer() - start

        print "C[:5] = " + str(C[:5])
        print "C[-5:] = " + str(C[-5:])

        print "VectorAdd took %f seconds" % vectoradd_time


if __name__ == '__main__':
        main()

我第一次运行它时运行良好。但后来我尝试安装 nvprof 和一些额外的库，从那时起我收到以下错误：

Traceback (most recent call last):
  File "test.py", line 6, in <module>
    @vectorize(["float32(float32, float32)"], target='gpu')
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/npyufunc/decorators.py", line 68, in wrap
    vec.add(fty)
  File "/opt/anaconda1anaconda2anaconda3/lib/python2.7/site-packages/numbapro/cudavec/vectorizers.py", line 78, in add
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/cuda/decorators.py", line 89, in kernel_jit
    kernel.bind()
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/cuda/compiler.py", line 234, in bind
    self._func.get()
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/cuda/compiler.py", line 181, in get
    cuctx = get_context()
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/cuda/cudadrv/devices.py", line 126, in get_context
    return _get_device(devnum=devnum).context
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/cuda/cudadrv/devices.py", line 118, in _get_device
    _gpustack.push(get_gpu(devnum))
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/cuda/cudadrv/devices.py", line 108, in get_gpu
    return gpus[i]
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/cuda/cudadrv/devices.py", line 34, in __getitem__
    return self._gpus[item]
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/cuda/cudadrv/devices.py", line 23, in _gpus
    self._tls.gpus = self._init_gpus()
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/cuda/cudadrv/devices.py", line 28, in _init_gpus
    for num in range(driver.get_device_count()):
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/cuda/cudadrv/driver.py", line 256, in get_device_count
    self.cuDeviceGetCount(byref(count))
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/cuda/cudadrv/driver.py", line 201, in __getattr__
    self.initialize()
  File "/home/matthias/anaconda/lib/python2.7/site-packages/numba/cuda/cudadrv/driver.py", line 182, in initialize
    raise CudaSupportError("Error at driver init: \n%s:" % e)
numba.cuda.cudadrv.error.CudaSupportError: Error at driver init: 
Call to cuInit results in CUDA_ERROR_NO_DEVICE:

卸载库没有帮助。

【问题讨论】：

标签： python cuda numba numba-pro

【解决方案1】：

我在过去一周也遇到了类似的问题。我将我的 Anaconda 环境从 2.7 升级到 3.4，我使用 numbapro 的代码开始失败，并出现相同的“调用 cuInit 导致 CUDA_ERROR_NO_DEVICE”。

我不确定我的升级是否与您的升级相同，但我提到以防万一。（我还应该提到我在使用 ARM 处理器的 Ubuntu 上。）

我下载了 cuda_6.5.14_linux_aarch64_native.run 安装程序，重新启动到 Ubuntu 命令行，并安装了这些最新的驱动程序。重新启动到 X 后，我打开 iPython 并成功运行以下命令：

import numbapro
numbapro.check_cuda()

我希望这可能会有所帮助。

【讨论】：

【解决方案2】：

虽然它与您当前收到的错误无关，但请注意在调用 VectorAdd 的那行代码中也存在错误。

你有：

C = VectorAdd(A, B, C)

应该是：

C = VectorAdd(A, B)

【讨论】：