cuda和cudnn环境安装
验证自己的电脑是否有一个可以支持CUDA的GPU
lspci | grep -i nvidia
02:00.0 3D controller: NVIDIA Corporation GP100GL [Tesla P100 PCIe 12GB] (rev a1)
03:00.0 3D controller: NVIDIA Corporation GP100GL [Tesla P100 PCIe 12GB] (rev a1)
83:00.0 3D controller: NVIDIA Corporation GP100GL [Tesla P100 PCIe 12GB] (rev a1)
84:00.0 3D controller: NVIDIA Corporation GP100GL [Tesla P100 PCIe 12GB] (rev a1)下载cuda，赋权
chmod +x NVIDIA-Linux-x86_64-384.111.run安装
sudo ./NVIDIA-Linux-x86_64-384.111.run报错
ERROR: You appear to be running an X server; please exit X before
installing. For further details, please see the section INSTALLING
THE NVIDIA DRIVER in the README available on the Linux driver
download page at www.nvidia.com.解决
sudo service lightdm stop
sudo init 3解决之后重新安装即可
安装cudnn
tar -zxvf cudnn-9.0-linux-x64-v7.5.1.10.tar
sudo cp cuda/include/cudnn.h /usr/local/cudan-9.0/include
sudo cp cuda/lib64/libcudnn* /usr/local/cudan-9.0/lib64
sudo chmod a+r /usr/local/cudan-9.0/include/cudnn.h /usr/local/cudan-9.0/lib64/libcudnn*配置环境变量
export PATH=/usr/local/cuda-9.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
export CUDA_HOME=/usr/local/cuda-9.0这里是临时写法，你可以写入.bashrc中
验证
tilyp@tilyp:~$ nvidia-smi
Fri Oct 18 14:00:53 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.111 Driver Version: 384.111 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla P100-PCIE... Off | 00000000:02:00.0 Off | 0 |
| N/A 31C P0 25W / 250W | 0MiB / 12193MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 1 Tesla P100-PCIE... Off | 00000000:03:00.0 Off | 0 |
| N/A 33C P0 25W / 250W | 0MiB / 12193MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 2 Tesla P100-PCIE... Off | 00000000:83:00.0 Off | 0 |
| N/A 31C P0 25W / 250W | 0MiB / 12193MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 3 Tesla P100-PCIE... Off | 00000000:84:00.0 Off | 0 |
| N/A 34C P0 25W / 250W | 0MiB / 12193MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+安装tensorflow-gpu
./anaconda3/bin/python -m pip install tensorflow-gpu==1.12.0编写测试代码
import tensorflow as tf
with tf.device('/cpu:0'):
a = tf.constant([1.0,2.0,3.0],shape=[3],name='a')
b = tf.constant([1.0,2.0,3.0],shape=[3],name='b')
with tf.device('/gpu:1'):
c = a+b
sess = tf.Session(config=tf.ConfigProto(allow_soft_placement=True,log_device_placement=True))
sess.run(tf.global_variables_initializer())
print(u'test result',sess.run(c))运行测试代码
tilyp@tilyp:~$ ./anaconda3/bin/python andy/cs.py
/home/tilyp/anaconda3/lib/python3.6/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
2019-10-18 14:15:51.909179: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-10-18 14:15:52.515317: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties:
name: Tesla P100-PCIE-12GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285
pciBusID: 0000:02:00.0
totalMemory: 11.91GiB freeMemory: 11.62GiB
2019-10-18 14:15:52.965630: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 1 with properties:
name: Tesla P100-PCIE-12GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285
pciBusID: 0000:03:00.0
totalMemory: 11.91GiB freeMemory: 11.62GiB
2019-10-18 14:15:53.436083: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 2 with properties:
name: Tesla P100-PCIE-12GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285
pciBusID: 0000:83:00.0
totalMemory: 11.91GiB freeMemory: 11.62GiB
2019-10-18 14:15:53.920070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 3 with properties:
name: Tesla P100-PCIE-12GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285
pciBusID: 0000:84:00.0
totalMemory: 11.91GiB freeMemory: 11.62GiB
2019-10-18 14:15:53.922941: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0, 1, 2, 3
2019-10-18 14:15:55.185349: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-10-18 14:15:55.185405: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 1 2 3
2019-10-18 14:15:55.185414: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N Y N N
2019-10-18 14:15:55.185420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 1: Y N N N
2019-10-18 14:15:55.185427: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 2: N N N Y
2019-10-18 14:15:55.185448: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 3: N N Y N
2019-10-18 14:15:55.186553: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11241 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-12GB, pci bus id: 0000:02:00.0, compute capability: 6.0)
2019-10-18 14:15:55.187094: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 11241 MB memory) -> physical GPU (device: 1, name: Tesla P100-PCIE-12GB, pci bus id: 0000:03:00.0, compute capability: 6.0)
2019-10-18 14:15:55.187522: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:2 with 11241 MB memory) -> physical GPU (device: 2, name: Tesla P100-PCIE-12GB, pci bus id: 0000:83:00.0, compute capability: 6.0)
2019-10-18 14:15:55.187926: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:3 with 11241 MB memory) -> physical GPU (device: 3, name: Tesla P100-PCIE-12GB, pci bus id: 0000:84:00.0, compute capability: 6.0)
Device mapping:
/job:localhost/replica:0/task:0/device:XLA_GPU:0 -> device: XLA_GPU device
/job:localhost/replica:0/task:0/device:XLA_CPU:0 -> device: XLA_CPU device
/job:localhost/replica:0/task:0/device:GPU:0 -> device: 0, name: Tesla P100-PCIE-12GB, pci bus id: 0000:02:00.0, compute capability: 6.0
/job:localhost/replica:0/task:0/device:GPU:1 -> device: 1, name: Tesla P100-PCIE-12GB, pci bus id: 0000:03:00.0, compute capability: 6.0
/job:localhost/replica:0/task:0/device:GPU:2 -> device: 2, name: Tesla P100-PCIE-12GB, pci bus id: 0000:83:00.0, compute capability: 6.0
/job:localhost/replica:0/task:0/device:GPU:3 -> device: 3, name: Tesla P100-PCIE-12GB, pci bus id: 0000:84:00.0, compute capability: 6.0
2019-10-18 14:15:55.195507: I tensorflow/core/common_runtime/direct_session.cc:307] Device mapping:
/job:localhost/replica:0/task:0/device:XLA_GPU:0 -> device: XLA_GPU device
/job:localhost/replica:0/task:0/device:XLA_CPU:0 -> device: XLA_CPU device
/job:localhost/replica:0/task:0/device:GPU:0 -> device: 0, name: Tesla P100-PCIE-12GB, pci bus id: 0000:02:00.0, compute capability: 6.0
/job:localhost/replica:0/task:0/device:GPU:1 -> device: 1, name: Tesla P100-PCIE-12GB, pci bus id: 0000:03:00.0, compute capability: 6.0
/job:localhost/replica:0/task:0/device:GPU:2 -> device: 2, name: Tesla P100-PCIE-12GB, pci bus id: 0000:83:00.0, compute capability: 6.0
/job:localhost/replica:0/task:0/device:GPU:3 -> device: 3, name: Tesla P100-PCIE-12GB, pci bus id: 0000:84:00.0, compute capability: 6.0
add: (Add): /job:localhost/replica:0/task:0/device:GPU:1
2019-10-18 14:15:55.202774: I tensorflow/core/common_runtime/placer.cc:927] add: (Add)/job:localhost/replica:0/task:0/device:GPU:1
init: (NoOp): /job:localhost/replica:0/task:0/device:GPU:0
2019-10-18 14:15:55.202822: I tensorflow/core/common_runtime/placer.cc:927] init: (NoOp)/job:localhost/replica:0/task:0/device:GPU:0
a: (Const): /job:localhost/replica:0/task:0/device:GPU:0
2019-10-18 14:15:55.202839: I tensorflow/core/common_runtime/placer.cc:927] a: (Const)/job:localhost/replica:0/task:0/device:GPU:0
b: (Const): /job:localhost/replica:0/task:0/device:GPU:0
2019-10-18 14:15:55.202854: I tensorflow/core/common_runtime/placer.cc:927] b: (Const)/job:localhost/replica:0/task:0/device:GPU:0
test result [2. 4. 6.]
tilyp@tilyp:~$安装结束，笔记而已，讨论加QQ群：526855734