TensorFlow Graph Optimization With Grappler

TensorFlow’s Grappler is a built-in graph optimization system that speeds up model execution by simplifying computations, optimizing memory use, and improving hardware efficiency. It offers a range of optimizers—like constant folding, pruning, remapping, and auto mixed precision—that you can toggle via tf.config.optimizer.set_experimental_options(). This guide explains each optimizer, shows how to compare performance with and without them, and demonstrates their real-world impact on TensorFlow workflows.