Creates a dataset by applying related optimizations to input_dataset.
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.
|