The use of the GPU.

[Ambitioner-c]

Describe the Question

---

I can't use GPU.

Environment:

TensorFlow-gpu==2.0.0

>>>tf.__version__
'2.0.0'

CUDA==10.0

~$ nvcc -V
Cuda compilation tools, release 10.0, V10.0.130

>>> import tensorflow as tf
>>> tf.test.is_gpu_available()
...
...
True

I called the GPU in the program.

import os
# os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
os.environ["CUDA_VISIBLE_DEVICES"] = "0"

---

However

~$ nvidia-smi
Sun Dec 20 22:20:35 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 430.40       Driver Version: 430.40       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  TITAN X (Pascal)    Off  | 00000000:02:00.0 Off |                  N/A |
| 23%   36C    P8    10W / 250W |    269MiB / 12196MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   1  TITAN X (Pascal)    Off  | 00000000:03:00.0 Off |                  N/A |
| 23%   40C    P8    11W / 250W |     10MiB / 12196MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   2  TITAN X (Pascal)    Off  | 00000000:82:00.0 Off |                  N/A |
| 23%   41C    P8     9W / 250W |     10MiB / 12196MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   3  TITAN X (Pascal)    Off  | 00000000:83:00.0 Off |                  N/A |
| 25%   44C    P0    58W / 250W |     10MiB / 12196MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0     21783      C   /home/cuifulai/Lib/Python36/bin/python3      259MiB |
+-----------------------------------------------------------------------------+

Describe your attempts

• [√] I walked through the tutorials
• [√] I checked the documentation
• [√] I checked to make sure that this is not a duplicate question