Method eval

tensorflow/python/ops/variables.py:689–719

In a session, computes and returns the value of this variable. This is not a graph construction method, it does not add ops to the graph. This convenience method requires a session where the graph containing this variable has been launched. If no session is passed, the default sess

(self, session=None)

    raise NotImplementedError

  def eval(self, session=None):
    """In a session, computes and returns the value of this variable.

    This is not a graph construction method, it does not add ops to the graph.

    This convenience method requires a session where the graph
    containing this variable has been launched. If no session is
    passed, the default session is used.  See `tf.compat.v1.Session` for more
    information on launching a graph and on sessions.

    ```python
    v = tf.Variable([1, 2])
    init = tf.compat.v1.global_variables_initializer()

    with tf.compat.v1.Session() as sess:
        sess.run(init)
        # Usage passing the session explicitly.
        print(v.eval(sess))
        # Usage with the default session.  The 'with' block
        # above makes 'sess' the default session.
        print(v.eval())
    ```

    Args:
      session: The session to use to evaluate this variable. If none, the
        default session is used.

    Returns:
      A numpy `ndarray` with a copy of the value of this variable.
    """
    raise NotImplementedError

  @deprecated(
      None, "Use Variable.read_value. Variables in 2.X are initialized "