tf.data.experimental.OptimizationOptions

Represents options for dataset optimizations.

You can set the optimization options of a dataset through the experimental_optimization property of tf.data.Options; the property is an instance of tf.data.experimental.OptimizationOptions.

options = tf.data.Options()
options.experimental_optimization.noop_elimination = True
options.experimental_optimization.map_vectorization.enabled = True
options.experimental_optimization.apply_default_optimizations = False
dataset = dataset.with_options(options)

apply_default_optimizations Whether to apply default graph optimizations. If False, only graph optimizations that have been explicitly enabled will be applied.
autotune Whether to automatically tune performance knobs. If None, defaults to True.
autotune_buffers When autotuning is enabled (through autotune), determines whether