Ubuntu16.04中anaconda2和anaconda3并存的解决办法
1.在终端输入
激活py2.7环境
source activate py27
关闭2.7环境
source deactivate.
1.2 jupyter notebook切换内核
$python2 -m pip install ipykernel
$python2 -m ipykernel install --user
1.3 依次安装各种包
conda install nibabel
conda install nipype
sckit-image == 0.13.0
sckit-learn == 0.18.1
2.安装theano,tensorflow,keras,
https://blog.csdn.net/m984789463/article/details/77074451
error: To use MKL 2018 with Theano you MUST set "MKL_THREADING_LAYER=GNU" in your environement.
解决办法
conda install mkl=2017
export MKL_THREADING_LAYER=GNU
3.安装tensorflow-gpu
conda install tensorflow-gpu
3.1 安装后,查看tensorflow-gpu版本
输入python,进入python命令行
import tensorflow as tf
tf.__version__
print('default gpu device {}'.format(tf.test.gpu_device_name()))
查询tensorflow安装路径为:
tf.__path__
检测tensorflow是否使用gpu进行计算
import tensorflow as tf
sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
4.数据
解压数据从/data到/input
unzip /data/datasets.zip -d /input/datasets
5. 解决MKL2018
conda install mkl=2017
6.keras import error
import tensorflow.python.ops.tensor_array_ops
7.ubuntu 递归解压文件夹内gz文件
gunzip -r /your/path
翻译中...