Win10 Theano Install Guide

basic install guide

1. download miniconda

2. conda install libpython mingw

3. conda install theano

now you can run theano correctly.

Enable GPU

1. download and install cuda8.0

2. downlaod and install vs2015

2. download and install Windows Kits

3. add path "LIB" = "C:\Program Files (x86)\Windows Kits\10\Lib\10.0.14393.0\um\x64;C:\Program Files (x86)\Windows Kits\10\Lib\10.0.14393.0\ucrt\x64"

add path "INCLUDE" = "C:\Program Files (x86)\Windows Kits\10\Include\10.0.14393.0\ucrt";

4. add "C:/user/your_user_name/.theanorc.txt":

 [global]
 profile_optimizer=True
 profile=True
 floatX = float32
 device = gpu
 [nvcc]
 compiler_bindir=D:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin
8 [dnn]
9 enable=auto

5. theano gpu cpu test:

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

 vlen=10*30*768
 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("loop %d time took "% iters, t1-t0,'seconds')
 print("results is",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')