Centos Keras(2.0.4)+Theano(0.9.0)+OpenBLAS CPU方式配置

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1. centos安装openblas：

yum install openblas-devel

2. 安装python2.7.x, 并pip安装keras.

3. 配置keras使用theano backend：
vim /root/.keras/keras.json
{
"epsilon": 1e-07,
"floatx": "float32",
"image_data_format": "channels_last",
"backend": "theano"
}

4. 配置theano使用openblas：

vim /root/.theanorc
[global]
floatX = float32
device = cpu
optimizer = fast_run

[blas]
ldflags = -lopenblas

5. 参考官方文档:

http://deeplearning.net/software/theano/install_centos6.html

BLAS installation (with Level 3 functionality)
Recommended: MKL, which is free through Conda with mkl-service package.
Alternatively, we suggest to install OpenBLAS, with the development headers (-dev, -devel, depending on your Linux distribution).

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

http://deeplearning.net/software/theano/library/config.html

config.optimizer

String value: 'fast_run', 'merge', 'fast_compile', 'None'
Default: 'fast_run'
When the mode is Mode, it sets the default optimizer used.

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