Graphs and Ops: Blueprint vs. Execution

A computational graph is a directed acyclic graph (DAG) where nodes are ops (like MatMul, Add, Conv2D) and edges carry tensors. In TensorFlow 2, you usually write imperative Python (eager mode), and optionally decorate functions with tf.function to trace them into graphs for speed.

Think: you sketch a blueprint (graph). The TensorFlow runtime is a construction crew that reads the blueprint and builds results quickly, using all the hardware lanes.