Using Anaconda to build Tensorflow in Ubuntu 18.04

Download Anaconda

• Open the Anaconda download address , and then download the latest Anaconda.
  
• Open the terminal, enter the file where the Anaconda download package is located, and run bash Anaconda3-2020.02-Linux-x86_64.sh, all the way y.
• After the installation is complete, run to conda --versioncheck whether the installation is successful.
  

Build Tensorflow

• Enter in the terminal conda create -n tensorflow python=3.7, all the way y.
  
• Enter in the terminal conda activate tensorflow to activate the Tensorflow environment and conda deactivateexit the Tensorflow environment.
• Enter people in the terminal pip install --ignore-installed --upgrade tensorflowto install / upgrade.

At this point, the Tensorflow environment has been set up.

carry out testing

Enter the touch test.pycreate file in the terminal and modify the file content to

import tensorflow as tf

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

if __name__=='__main__':
    g = tf.Graph()
    # add ops to the user created graph
    with g.as_default():
        hello = tf.constant('Hello Tensorflow')
        sess = tf.compat.v1.Session()
        print(sess.run(hello))

Enter in the terminal python test.py, the result is as follows

Integrate Tensorflow environment in Pycharm

• file -> new project
• Select Existing interpreter-> Conda Environment-> Ok-> Create.

carry out testing

Create test.py and enter the following code:

import tensorflow as tf

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

if __name__=='__main__':
    g = tf.Graph()
    # add ops to the user created graph
    with g.as_default():
        hello = tf.constant('Hello Tensorflow')
        sess = tf.compat.v1.Session()
        print(sess.run(hello))

The results of the operation are as follows:

usually some prompts will pop up

2020-04-20 17:43:50.307721: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libnvinfer.so.6'; dlerror: libnvinfer.so.6: cannot open shared object file: No such file or directory
2020-04-20 17:43:50.307796: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libnvinfer_plugin.so.6'; dlerror: libnvinfer_plugin.so.6: cannot open shared object file: No such file or directory
2020-04-20 17:43:50.307805: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:30] Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.

This information prompts that the current system does not have TensorRT related content. If GPU support is not required, simply ignore it.