TensorFlow : Install Docker Image (CPU)2020/07/27

	Install TensorFlow which is the Machine Learning Library. On this example, Install TensorFlow official Docker Image without GPU support and run it on Containers.
[1]	Install Docker, refer to here.
[2]	Install TensorFlow Docker (CPU only).

# pull TensorFlow 2.0 with Python3 image

root@dlp:~#

docker pull tensorflow/tensorflow:2.0.0-py3

root@dlp:~#

docker images

REPOSITORY              TAG                 IMAGE ID            CREATED             SIZE
tensorflow/tensorflow   2.0.0-py3           90f5cb97b18f        9 months ago        1.07GB

# run container

root@dlp:~#

docker run --rm tensorflow/tensorflow:2.0.0-py3 \
python -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))"

2020-07-27 01:36:18.348693: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2801540000 Hz
2020-07-27 01:36:18.349039: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x3dee3d0 executing computations on platform Host. Devices:
2020-07-27 01:36:18.349066: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): Host, Default Version
tf.Tensor(-181.85336, shape=(), dtype=float32)

# create Hello World test script and run it on container

root@dlp:~#

vi hello_tensorflow.py

import tensorflow as tf
hello = tf.constant('Hello, TensorFlow World!')
tf.print(hello)

root@dlp:~#

docker run --rm -v $PWD:/tmp -w /tmp tensorflow/tensorflow:2.0.0-py3 python ./hello_tensorflow.py

2020-07-27 01:36:50.966974: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2801540000 Hz
2020-07-27 01:36:50.967719: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x4a4f5a0 executing computations on platform Host. Devices:
2020-07-27 01:36:50.967870: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): Host, Default Version
Hello, TensorFlow World!

[3]	Install TensorFlow Docker Image with Jupyter Notebook.

# pull TensorFlow 2.0 with Python3/Jupyter image

root@dlp:~#

docker pull tensorflow/tensorflow:2.0.0-py3-jupyter

root@dlp:~#

docker images

REPOSITORY              TAG                 IMAGE ID            CREATED             SIZE
tensorflow/tensorflow   2.0.0-py3-jupyter   c652a4fc8a4f        9 months ago        1.22GB
tensorflow/tensorflow   2.0.0-py3           90f5cb97b18f        9 months ago        1.07GB

# run container as daemon

root@dlp:~#

docker run -dt -p 8888:8888 tensorflow/tensorflow:2.0.0-py3-jupyter

a7ba54773b6366a3005d1a6b65047d4207428e64f87a3ae8ef318eefc656dedf

root@dlp:~#

docker ps

CONTAINER ID        IMAGE                                     COMMAND                  CREATED             STATUS              PORTS                    NAMES
a7ba54773b63        tensorflow/tensorflow:2.0.0-py3-jupyter   "bash -c 'source /et…"   23 seconds ago      Up 22 seconds       0.0.0.0:8888->8888/tcp   busy_lamport

# confirm URL

root@dlp:~#

docker exec a7ba54773b63 bash -c "jupyter notebook list"

Currently running servers:
http://0.0.0.0:8888/?token=2448b0793ae5233727251a0d97de93e438c4aa638e317e03 :: /tf

Accessto the URL above, then it's possible to use Jupyter Notebook.

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