LostTech.TensorFlow : API Documentation

Type InteractiveSession

Namespace tensorflow

Parent BaseSession

Interfaces IInteractiveSession

A TensorFlow `Session` for use in interactive contexts, such as a shell.

The only difference with a regular `Session` is that an `InteractiveSession` installs itself as the default session on construction. The methods tf.Tensor.eval and tf.Operation.run will use that session to run ops.

This is convenient in interactive shells and [IPython notebooks](http://ipython.org), as it avoids having to pass an explicit `Session` object to run ops. Note that a regular session installs itself as the default session when it is created in a `with` statement. The common usage in non-interactive programs is to follow that pattern:
Show Example
sess = tf.compat.v1.InteractiveSession()
            a = tf.constant(5.0)
            b = tf.constant(6.0)
            c = a * b
            # We can just use 'c.eval()' without passing 'sess'



Public instance methods

IList<_DeviceAttributes> list_devices()

object list_devices_dyn()

Public static methods

InteractiveSession NewDyn(ImplicitContainer<T> target, object graph, object config)

Creates a new TensorFlow session.

If no `graph` argument is specified when constructing the session, the default graph will be launched in the session. If you are using more than one graph (created with `tf.Graph()`) in the same process, you will have to use different sessions for each graph, but each graph can be used in multiple sessions. In this case, it is often clearer to pass the graph to be launched explicitly to the session constructor.
ImplicitContainer<T> target
(Optional.) The execution engine to connect to. Defaults to using an in-process engine. See [Distributed TensorFlow](https://tensorflow.org/deploy/distributed) for more examples.
object graph
(Optional.) The `Graph` to be launched (described above).
object config
(Optional.) A [`ConfigProto`](https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto) protocol buffer with configuration options for the session.

Public properties

object graph get;

object graph_def get;

object graph_def_dyn get;

object graph_dyn get;

object PythonObject get;

Byte[] sess_str get;

object sess_str_dyn get;