tf.raw_ops.OptimizeDataset
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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 .
|
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Last updated 2021-05-14 UTC.
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