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. |
© 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/OptimizeDataset