Theano（1）：windows、linux下安裝深度學習庫Theano

http://deeplearning.net/software/theano/install_windows.html

下載下傳：

git clone https://github.com/Theano/Theano.git      

配置（cd到Theano根目錄）：

python setup.py develop      

測試：

import theano      

提示：WARNING (theano.configdefaults): g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano flags cxx to an empty string.

解決g++問題：

$ conda install mingw libpython      

在theano的根目錄下執行哈。。

測試：

import numpy as np
import time
import theano
A = np.random.rand(1000,10000).astype(theano.config.floatX)
B = np.random.rand(10000,1000).astype(theano.config.floatX)
np_start = time.time()
AB = A.dot(B)
np_end = time.time()
X,Y = theano.tensor.matrices('XY')
mf = theano.function([X,Y],X.dot(Y))
t_start = time.time()
tAB = mf(A,B)
t_end = time.time()
print "NP time: %f[s], theano time: %f[s] (times should be close when run on CPU!)" %(
                                           np_end-np_start, t_end-t_start)
print "Result difference: %f" % (np.abs(AB-tAB).max(), )   
           

結果：

NP time: 0.357000[s], theano time: 0.272000[s] (times should be close when run on CPU!)

Result difference: 0.000000

注意啊，如果你的第二個時間比第一個時間長，說明上面的g++問題沒有解決，這裡要注意（conda install指令要在theano的根目錄下執行哈。。）。

完美！

http://deeplearning.net/software/theano/install_ubuntu.html#install-ubuntu

For NVIDIA Jetson TX1 embedded platform:

sudo apt-get install python-numpy python-scipy python-dev python-pip python-nose g++ libblas-dev git
pip install --upgrade --no-deps git+git://github.com/Theano/Theano.git --user  # Need Theano 0.8(not yet released) or more recent
      

For Ubuntu 11.10 through 14.04:

sudo apt-get install python-numpy python-scipy python-dev python-pip python-nose g++ libopenblas-dev git
sudo pip install Theano
      

For Ubuntu 11.04:

sudo apt-get install python-numpy python-scipy python-dev python-pip python-nose g++ git libatlas3gf-base libatlas-dev
sudo pip install Theano      

linux下一樣，我選擇手動下載下傳theano，然後：

git clone git://github.com/Theano/Theano.git
cd Theano
python setup.py develop --user