Intel® Distribution for Python for Linux* update3
- Includes Intel-optimized Deep Learning frameworks Caffe and Theano, powered by the new Intel® MKL-DNNSelect
- Scikit-learn algorithms now accelerated with Intel® Data Analytics Acceleration Library for ~200X speedup
- Arithmetic, transcendental and 1D & multi-dimensional FFT functions significantly faster in NumPy and SciPy
設定
https://www.continuum.io/downloads
<Anaconda>
Python 3.6 version
bath Anaconda3-4-.3.1-Linux-x86_64.sh
手順
<Anaconda>
Python 3.6 version
bath Anaconda3-4-.3.1-Linux-x86_64.sh
手順
conda update conda
conda config --add channels intel
conda config --add channels intel
conda create -n idp intelpython3_full python=3
# To activate this environment, use:
# > source activate idp
# To deactivate this environment, use:
# > source deactivate idp
To activate Linux environment, use:
> source activate idp
To activate Windows environment, use:
>activate idp
To deactivate this environment, use:
> source deactivate idp
$ conda env list
# conda environments:
idp /home/xxx/work/libraries/anaconda2/envs/idp
root * /home/xxx/work/libraries/anaconda2
> anaconda2/envs/idp
> rm -rf idp
# To activate this environment, use:
# > source activate idp
# To deactivate this environment, use:
# > source deactivate idp
To activate Linux environment, use:
> source activate idp
To activate Windows environment, use:
>activate idp
To deactivate this environment, use:
> source deactivate idp
$ conda env list
# conda environments:
idp /home/xxx/work/libraries/anaconda2/envs/idp
root * /home/xxx/work/libraries/anaconda2
> anaconda2/envs/idp
> rm -rf idp
conda install anaconda-clean
Remove all Anaconda-related files and directories with a prompt to answer “yes” before deleting each one:
anaconda-clean
anaconda-clean --yesその他参考
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