配置tensorflow部分参考:https://blog.csdn.net/XUTIAN1129/article/details/78997633
装完anaconda, source ~/.bashrc后, 可以直接 pip install tensorflow-gpu , 珍爱生命,远离bazel。但想要c/c++调用tf的时候远离不了,还是得bazel编译安装tf-gpu
对于:
>>> import tensorflow as tf
/home/aimhabo/anaconda2/lib/python2.7/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
重装numpy并没什么用,不过这警告暂时没啥实际负面效果。
Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so.:
在终端里调用python xxx.py之前,输入export LD_PRELOAD=libmkl_rt.so
opencv 中找不到 eigen:
1、sudo apt-get install libeigen3-dev
2、#include <Eigen/Dense>
3、 sudo cp -r /usr/include/eigen3/Eigen /usr/local/include/
4、WITH_EIGEN,remake opencv
expected nested-name-specifier before ' KAL_XXX' using KAL_XXX:
using XXX = YYY; 是c++11新标准,低版本g++改成typedef语法
注意获取时要用回归的办法获取引用的库,最后cp到include里的几步可以用建立软连接替代
编译tf: https://blog.csdn.net/rockingdingo/article/details/75452711 https://cloud.tencent.com/developer/article/1006405
C版tf: bazel build --config=monolithic //tensorflow:libtensorflow.so
C++版tf: bazel build --config=monolithic //tensorflow:libtensorflow_cc.so
有*.proto的情况下缺少*.pb.h: 安装protobuf,在tensorflow-r1.8目录下 protoc --cpp_out=tensorflow/core/protobuf/ tensorflow/core/protobuf/*.proto