tf.raw_ops.OptimizeDatasetV2

Creates a dataset by applying related optimizations to input_dataset.

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Compat aliases for migration

tf.compat.v1.raw_ops.OptimizeDatasetV2

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.

Args
`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).

Returns
A `Tensor` of type `variant`.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/OptimizeDatasetV2