tf.raw_ops.OptimizeDataset | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.OptimizeDataset
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Creates a dataset by applying optimizations to input_dataset.
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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. |
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Last updated 2024-04-26 UTC.