Question

我已按照https://datanoord.com/2016/02/01/setup-a-deep-learning-environment-on-windows-theano-keras-with-gpu-enabled/的所有说明进行操作但似乎无法让它发挥作用。

我补充说 C：\ Program Files（x86）\ Microsoft Visual Studio 12.0 \ VC \ bin 到我的PATH变量

每次我从Theano网站运行代码来测试是否使用了CPU或GPU，它都会给我一个致命错误 “nvcc致命：在PATH中找不到编译器'cl.exe'”

以下是我用来测试的代码：

from theano import function, config, shared, sandbox
import theano.tensor as T
import numpy
import time

vlen = 10 * 30 * 768  # 10 x #cores x # threads per core
iters = 1000

rng = numpy.random.RandomState(22)
x = shared(numpy.asarray(rng.rand(vlen), config.floatX))
f = function([], T.exp(x))
print(f.maker.fgraph.toposort())
t0 = time.time()
for i in range(iters):
    r = f()
t1 = time.time()
print("Looping %d times took %f seconds" % (iters, t1 - t0))
print("Result is %s" % (r,))
if numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]):
    print('Used the cpu')
else:
    print('Used the gpu')

我该如何解决这个问题？

Answer 1

Visual Studio 2017在此处提供

C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.14.26428\bin\Hostx64\x64

Answer 2

您可以添加参数-ccbin来设置cl.exe的位置。看起来像这样

nvcc "File path" -ccbin "cl.exe path"

nvcc致命：虽然Visual Studio 12.0被添加到PATH

2 个答案: