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. |