tf.raw_ops.ModelDataset | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.ModelDataset
Stay organized with collections Save and categorize content based on your preferences.
Identity transformation that models performance.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.ModelDataset
tf.raw_ops.ModelDataset(
input_dataset,
output_types,
output_shapes,
algorithm=0,
cpu_budget=0,
ram_budget=0,
name=None
)
Identity transformation that models performance.
| Args | |
|---|---|
| input_dataset | A Tensor of type variant. A variant tensor representing the input dataset. |
| 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. |
| algorithm | An optional int. Defaults to 0. |
| cpu_budget | An optional int. Defaults to 0. |
| ram_budget | An optional int. Defaults to 0. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor of type variant. |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.