tensorflow 查看是否可使用GPU以及指定GPU运行

1. 查看能否运行GPU

1
2
3
4
5
6
7
8
9
10
11
12
13
In [1]: import tensorflow as tf

In [2]: tf.__version__
Out[2]: '1.4.0'

In [3]: tf.test.is_gpu_available()
2020-06-01 23:37:07.634135: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2020-06-01 23:37:09.502059: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1030] Found device 0 with properties:
name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493
pciBusID: 0000:01:00.0
totalMemory: 4.00GiB freeMemory: 3.33GiB
2020-06-01 23:37:09.527007: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1)
Out[3]: True

2. 查看GPU占用情况

使用nvidia-smi.exe

3. 使用GPU进行测试

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
In [1]: import tensorflow as tf

In [2]: import numpy as np

In [3]: config = tf.ConfigProto(log_device_placement=True)

In [4]: with tf.Session(config=config) as sess:
   ...:     a = tf.placeholder(tf.int32)
   ...:     b = tf.placeholder(tf.int32)
   ...:     add = tf.add(a, b)
   ...:     s = sess.run(add, feed_dict={a:1, b:2})
   ...:     print(s)
   ...:
2020-06-01 23:59:37.153345: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2020-06-01 23:59:38.879487: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1030] Found device 0 with properties:
name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493
pciBusID: 0000:01:00.0
totalMemory: 4.00GiB freeMemory: 3.33GiB
2020-06-01 23:59:38.918401: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1)
Device mapping:
/job:localhost/replica:0/task:0/device:GPU:0 -> device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1
2020-06-01 23:59:39.161636: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\direct_session.cc:299] Device mapping:
/job:localhost/replica:0/task:0/device:GPU:0 -> device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1

Add: (Add): /job:localhost/replica:0/task:0/device:GPU:0
2020-06-01 23:59:39.265282: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\placer.cc:874] Add: (Add)/job:localhost/replica:0/task:0/device:GPU:0
Placeholder_1: (Placeholder): /job:localhost/replica:0/task:0/device:GPU:0
2020-06-01 23:59:39.283582: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\placer.cc:874] Placeholder_1: (Placeholder)/job:localhost/replica:0/task:0/device:GPU:0
Placeholder: (Placeholder): /job:localhost/replica:0/task:0/device:GPU:0
2020-06-01 23:59:39.304208: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\placer.cc:874] Placeholder: (Placeholder)/job:localhost/replica:0/task:0/device:GPU:0
3

In [5]: