Question

我想做一个简单的测试，看看我使用的是theano的GPU版本还是CPU版本的代码：

# Code to test if theano is using GPU or CPU                                    
# Reference: https://stackoverflow.com/questions/34328467/how-can-i-use-my-gpu-on-ipython-notebook
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()                                                                
# if you're using Python3, rename `xrange` to `range` in the following line     
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')

然后这就是我执行它时看到的内容：

Matt @ limbo> THEANO_FLAGS = device = cuda0 python check_theano.py

 Using
 cuDNN version 5105 on context None 
 Mapped name None to device cuda0:
 Tesla M40 24GB (0000:04:00.0)
 [GpuElemwise{exp,no_inplace}(<GpuArrayType<None>(float64, (False,))>),
 HostFromGpu(gpuarray)(GpuElemwise{exp,no_inplace}.0)] Looping 1000
 times took 0.391111 seconds Result is [1.23178032 1.61879341
 1.52278065 ... 2.20771815 2.29967753 1.62323285] Used the cpu

看起来一切都很好，关于pygpu，cudnn的错误都没有，找到了我的gpu卡，所以为什么最后的消息是“使用了cpu”？

我正在使用Theano 0.9.0，pygpu 0.6.2，python 3.5.6，cudnn / 5.1-cuda-8.0.44。

请不要告诉我检查Theano 1. *，因为我需要执行的代码可以在Theano 0.9上运行

Theano GPU测试不断说“使用了CPU”

0 个答案: