はじめに
環境構築時に影響を及ぼす、各種ツール、ライブラリのバージョンの確認方法をメモしたものであるubuntu
cat /etc/lsb-releaseDISTRIB_DESCRIPTION="Ubuntu 16.04.3 LTS" (2017/10/4)
kernel
uname -r4.4.0-96-generic (2017/10/4)
CPU情報
cat /proc/cpuinfogcc
gcc --versiongcc (Ubuntu 5.4.0-6ubuntu1~16.04.4) 5.4.0 20160609
docker
docker --versionDocker version 17.05.0-ce, build 89658be
GPUボード情報
nvidia-smi
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 375.66 Driver Version: 375.66 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 105... Off | 0000:01:00.0 On | N/A |
| 43% 27C P8 35W / 75W | 393MiB / 4037MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1005 G /usr/lib/xorg/Xorg 206MiB |
| 0 1821 G compiz 128MiB |
| 0 2517 G ...el-token=12D20A7A54878E99355325DC34B176F3 55MiB |
+-----------------------------------------------------------------------------+
CUDA
nvcc -Vnvcc: NVIDIA (R) Cuda compiler driver
Cuda compilation tools, release 8.0, V8.0.61
cuDNN
ls /usr/lib/x86_64-linux-gnu/libcu*/usr/lib/x86_64-linux-gnu/libcudnn.so.5.1.10
python
python --versionPython 2.7.12
Caffe
caffe --versioncaffe version 1.0.0
TensorFlow
pip list | grep tensorflowtensorflow-gpu (1.1.0)
現在共有ライブラリーで有効なOpenCVのバージョンを表示する
pkg-config --modversion opencvpython OpenCV
print cv2.__version__2.4.9.1
順次追加予定
0 件のコメント:
コメントを投稿