Does deterministic=False remove all output-ordering guarantees in tf.data parallel map?
In a tf.data input pipeline that applies Dataset.map with num_parallel_calls greater than one, setting deterministic=False is a documented way to trade input-order guarantees for throughput. The goal is to maximize pipeline speed while still understanding exactly which ordering properties, if any, remain enforceable for downstream consumers that zip, compare
tensorflow