安装conda,theano

Linux下安装miniconda

1. 在官网下载miniconda3
2. 执行：bash Miniconda3-latest-Linux-x86_64.sh 　之后跟随提示步骤，安装过程中可以自动添加路径到配置文件，也可以之后进行配置。在这期间输入 yes　 no　　　（在这里我是之后配置的所以执行３）
3. 将其添加到大环境变量中去
   －vim ~/.bashrc
   －export PATH=~/anaconda3/bin:$PATH
   －source ~/.bashrc

创建虚拟环境并安装theano (主要参考官网教程http://deeplearning.net/software/theano/install_ubuntu.html)

1. 基于python2.7创建一个名为theano的环境： conda create --name theano python=2.7
2. 进入虚拟环境： source activate theano

3. －使用conda安装：conda install numpy scipy mkl
                   pip install parameterized
                   conda install theano pygpu
   

   －使用pip安装：pip install Theano
4. Install and configure the GPU drivers (这一步我没有尝试，因为本来就安装好了)
5. 配置theanoGPU环境
   vim ~/.theanorc
   在空白文件中添加
   [global]
   floatX = float32
   device = gpu3
   [lib]
   cnmem = 0.6 意味着有百分之60的显存分给当前终端
6. 也可以不用5，直接在运行的时候使用命令：THEANO_FLAGS='device=cuda,floatX=float32'
   （默认为cuda0）
7. 测试
   test.py 文件：

from theano import function, config, shared, tensor
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([], tensor.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, tensor.Elemwise) and
              ('Gpu' not in type(x.op).__name__)
              for x in f.maker.fgraph.toposort()]):
    print('Used the cpu')
else:
    print('Used the gpu')

执行：THEANO_FLAGS='device=cuda,floatX=float32' python test.py
结果：
···
Using cuDNN version 5105 on context None
Mapped name None to device cuda0: GeForce GTX 750 Ti (0000:07:00.0)
[GpuElemwise{exp,no_inplace}(<GpuArrayType<None>(float64, (False,))>), HostFromGpu(gpuarray)(GpuElemwise{exp,no_inplace}.0)]
Looping 1000 times took 1.697514 seconds
Result is [ 1.23178032 1.61879341 1.52278065 ..., 2.20771815 2.29967753
1.62323285]
Used the gpu
···
说明GPU配置使用成功

安装过程中出现的一些乱七八糟的问题

1. ValueError: You are tring to use the old GPU back-end. It was removed from Theano . Use device=cuda* now. See https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29 for more information.
   解决方法：
   1： vim ~/.bashrc
   2：添加如下命令：
   export THEANO_FLAGS='mode=FAST_RUN,device=cpu,floatX=float32'
   3：使修改的theano设置生效：
   source ~/.bashrc
2. ModuleNotFoundError: No module named'nose'
   解决办法：pip install nosey
3. /home/lyzhang/.miniconda3/envs/lyzhang2/lib/python2.7/site-packages/theano/scan_module/scan_perform_ext.py:76: UserWarning: The file scan_perform.c is not available. This donot happen normally. You are probably in a strangesetup. This mean Theano can not use the cython code for scan. If youwant to remove this warning, use the Theano flag'cxx=' (set to an empty string) to disable all ccode generation.
   "The file scan_perform.c is not available. This do"
   解决方法： 卸载原来安装的theano：pip uninstall theano
   重新用pip安装：pip install theano

菜鸟一枚，有写的不对的地方欢迎留言指正呀~~