tf.raw_ops.OptimizeDataset

Creates a dataset by applying optimizations to input_dataset.

Compat aliases for migration

tf.compat.v1.raw_ops.OptimizeDataset

tf.raw_ops.OptimizeDataset(
    input_dataset,
    optimizations,
    output_types,
    output_shapes,
    optimization_configs=[],
    name=None
)

Creates a dataset by applying optimizations to input_dataset.

Args
`input_dataset`	A `Tensor` of type `variant`. A variant tensor representing the input dataset.
`optimizations`	A `Tensor` of type `string`. A `tf.string` vector `tf.Tensor` identifying optimizations to use.
`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).

Returns
A `Tensor` of type `variant`.

Args