Graph execution is a TensorFlow programming mode in which a computation graph is constructed before being run. This allows the system to optimize and execute all or part of the graph efficiently.
A TensorFlow programming environment in which the program first constructs a graph and then executes all or part of that graph. Graph execution is the default execution mode in TensorFlow 1.x. Contrast with eager execution.