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tf.raw_ops.OptimizeDataset

Creates a dataset by applying optimizations to input_dataset.

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.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/OptimizeDataset