TensorFlow.NET/docs/source/Session.md

• Chapter. Session
• • • Running Computations in a Session

Chapter. Session

TensorFlow session runs parts of the graph across a set of local and remote devices. A session allows to execute graphs or part of graphs. It allocates resources (on one or more machines) for that and holds the actual values of intermediate results and variables.

Running Computations in a Session

Let's complete the example in last chapter.

with<Graph>(tf.Graph(), graph =>
{
    var variable = tf.Variable(31, name: "tree");
    var init = tf.global_variables_initializer();

    var sess = tf.Session(graph);
    sess.run(init);

    var result = sess.run(variable); // 31

    var assign = variable.assign(12);
    result = sess.run(assign); // 12
});