cuda & cudnn
CUDA?is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).
The NVIDIA?CUDA? Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks.?cuDNN?provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers.
查看cuda 和 cudnn版本
cat /usr/local/cuda/version.txt
cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2
theano config文件優先級
The order of precedence is:
- an assignment to?theano.config.<property>
- an assignment in?THEANO_FLAGS（只讀）
- an assignment in the .theanorc file (or the file indicated in?THEANORC) （改這個）
查看THEANO_FLAGS
python -c'import theano; print(theano.config)'|less
dnn.include_path (<class 'str'>)
? ? Doc:? Location of the cudnn header (defaults to the cuda root)
? ? Value:? /usr/local/cuda/include
dnn.library_path (<class 'str'>)
? ? Doc:? Location of the cudnn header (defaults to the cuda root)
? ? Value:? /usr/local/cuda/lib64
dnn.enabled (('auto', 'True', 'False')) Doc: 'auto', use cuDNN if available, but silently fall back to not using it if not present. If True and cuDNN can not be used, raise an error. If False, disable cudnn Value: False
dnn的路徑都有，不用自己加，試試自己改enable flag->報錯變成了:
UserWarning: Your cuDNN version is more recent than Theano. If you encounter problems, try updating Theano or downgrading cuDNN to version 5.1.
? warnings.warn("Your cuDNN version is more recent than "
Using cuDNN version 6021 on context None
Mapped name None to device cuda: GeForce GTX 1070 (0000:01:00.0)
安裝新版本的theano和1.1.0版本的keras
不知道怎么解決這個cudnn問題…不如避開？
裝完mkl-service之后又不能用opencv了，煩。
在anaconda cloud里面找不到3.0.0版本的opencv，裝了3.1.1版本的。
希望可以用。
