tf.raw_ops.OptimizeDatasetV2

Creates a dataset by applying related optimizations to input_dataset.

tf.raw_ops.OptimizeDatasetV2(
    input_dataset,
    optimizations_enabled,
    optimizations_disabled,
    optimizations_default,
    output_types,
    output_shapes,
    optimization_configs=[],
    name=None
)

Creates a dataset by applying related optimizations to input_dataset.

input_dataset A Tensor of type variant. A variant tensor representing the input dataset.
optimizations_enabled A Tensor of type string. A tf.string vector tf.Tensor identifying user enabled optimizations.
optimizations_disabled A Tensor of type string. A tf.string vector tf.Tensor identifying user disabled optimizations.
optimizations_default A Tensor of type string. A tf.string vector tf.Tensor identifying optimizations by default.
output_types A list of tf.DTypes that has length >= 1.
output_shapes A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
optimization_configs An optional list of strings. Defaults to [].
name A name for the operation (optional).

A Tensor of type variant.