tf.raw_ops.OptimizeDatasetV2

Creates a dataset by applying related optimizations to input_dataset.

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tf.compat.v1.raw_ops.OptimizeDatasetV2

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.