Build TensorFlow operation check environment with Docker

Thing you want to do

Download TensorFlow Docker image Then, I want to start the container and check the operation of tensorflow.


How to install Docker

Prior confirmation


[roo[email protected] ~]# docker -v
Docker version 19.03.7, build 7141c199a2

Container in operation

[[email protected] ~]# docker ps
CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES

Get image with docker pull

docker pull tensorflow/tensorflow


[[email protected] ~]# docker pull tensorflow/tensorflow
Using default tag: latest
latest: Pulling from tensorflow/tensorflow
171857c49d0f: Pull complete
419640447d26: Pull complete
61e52f862619: Pull complete
40085aa86d3c: Pull complete
b827fdfa00c7: Pull complete
134f84527676: Pull complete
e1f30e7788ed: Pull complete
a13925316d82: Pull complete
5decca4d86ff: Pull complete
70c56a3cd1fa: Pull complete
Digest: sha256:c57fb9628d80872ece8640a22bd0153b2cc8d62d21d79f4d99c3b237a728b62e
Status: Downloaded newer image for tensorflow/tensorflow:latest

Confirm that the image was acquired

[[email protected] ~]# docker images
REPOSITORY                             TAG                 IMAGE ID            CREATED             SIZE
tensorflow/tensorflow                  latest              623195db36df        7 weeks ago         1.46GB

Start the container with docker run

Change the option specifications such as memory specification, port specification, host specification, and shared directory specification as desired.

docker run -m 4096m -p 80:80 -d --privileged -h -i -t -v /root/share:/share:rw --name tensorflow_container1 tensorflow/tensorflow

Confirm the start of the container and connect

[[email protected] ~]# docker ps
CONTAINER ID        IMAGE                   COMMAND             CREATED             STATUS              PORTS                NAMES
62f578fc0279        tensorflow/tensorflow   "/bin/bash"         11 seconds ago      Up 10 seconds>80/tcp   tensorflow_container1

docker exec -it tensorflow_container1 /bin/bash

Connect to tensorflow_container1 with.

[[email protected] ~]# docker exec -it tensorflow_container1 /bin/bash

________                               _______________
___  __/__________________________________  ____/__  /________      __
__  /  _  _ \_  __ \_  ___/  __ \_  ___/_  /_   __  /_  __ \_ | /| / /
_  /   /  __/  / / /(__  )/ /_/ /  /   _  __/   _  / / /_/ /_ |/ |/ /
/_/    \___//_/ /_//____/ \____//_/    /_/      /_/  \____/____/|__/

Successful connection.

Confirmation of initial state

You can already use python3 and pip.

[email protected]:~# python -V
Python 3.6.9
[email protected]:~# pip

  pip <command> [options]

Since vim is not included, install it.

apt-get update


apt-get install vim

Then you can use vim.

Create a py file and try it


print ("Hello World! I am Kenichiro Yamato")




Hello World! I am Kenichiro Yamato

Is displayed, OK.

Try tensorflow sample code


import tensorflow as tf
mnist = tf.keras.datasets.mnist

(x_train, y_train),(x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0

model = tf.keras.models.Sequential([
  tf.keras.layers.Dense(512, activation=tf.nn.relu),
  tf.keras.layers.Dense(10, activation=tf.nn.softmax)
              metrics=['accuracy']), y_train, epochs=5)
model.evaluate(x_test, y_test)



There are some warnings and information, but it seems to be working.

2020-11-18 10:00:09.352555: W tensorflow/stream_executor/platform/default/] Could not load dynamic library ''; dlerror: cannot open shared object file: No such file or directory
2020-11-18 10:00:09.352579: I tensorflow/stream_executor/cuda/] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2020-11-18 10:00:10.743602: W tensorflow/stream_executor/platform/default/] Could not load dynamic library ''; dlerror: cannot open shared object file: No such file or directory
2020-11-18 10:00:10.743630: W tensorflow/stream_executor/cuda/] failed call to cuInit: UNKNOWN ERROR (303)
2020-11-18 10:00:10.743654: I tensorflow/stream_executor/cuda/] kernel driver does not appear to be running on this host ( /proc/driver/nvidia/version does not exist
2020-11-18 10:00:10.743940: I tensorflow/core/platform/] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations:  AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2020-11-18 10:00:10.752038: I tensorflow/core/platform/profile_utils/] CPU Frequency: 3599995000 Hz
2020-11-18 10:00:10.752747: I tensorflow/compiler/xla/service/] XLA service 0x4e64770 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-11-18 10:00:10.752763: I tensorflow/compiler/xla/service/]   StreamExecutor device (0): Host, Default Version
Epoch 1/5
1875/1875 [==============================] - 3s 2ms/step - loss: 0.2193 - accuracy: 0.9347
Epoch 2/5
1875/1875 [==============================] - 3s 2ms/step - loss: 0.0972 - accuracy: 0.9705
Epoch 3/5
1875/1875 [==============================] - 3s 2ms/step - loss: 0.0676 - accuracy: 0.9789
Epoch 4/5
1875/1875 [==============================] - 3s 2ms/step - loss: 0.0525 - accuracy: 0.9831
Epoch 5/5
1875/1875 [==============================] - 3s 2ms/step - loss: 0.0423 - accuracy: 0.9862
313/313 [==============================] - 0s 1ms/step - loss: 0.0640 - accuracy: 0.9801

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