Method run

tensorflow/python/framework/ops.py:2423–2439

Runs this operation in a `Session`. Calling this method will execute all preceding operations that produce the inputs needed for this operation. *N.B.* Before invoking `Operation.run()`, its graph must have been launched in a session, and either a default session must be availa

(self, feed_dict=None, session=None)

      raise ValueError(str(e))

  def run(self, feed_dict=None, session=None):
    """Runs this operation in a `Session`.

    Calling this method will execute all preceding operations that
    produce the inputs needed for this operation.

    *N.B.* Before invoking `Operation.run()`, its graph must have been
    launched in a session, and either a default session must be
    available, or `session` must be specified explicitly.

    Args:
      feed_dict: A dictionary that maps `Tensor` objects to feed values. See
        `tf.Session.run` for a description of the valid feed values.
      session: (Optional.) The `Session` to be used to run to this operation. If
        none, the default session will be used.
    """
    _run_using_default_session(self, feed_dict, self.graph, session)

_gradient_registry = registry.Registry("gradient")