tf.raw_ops.OptimizeDataset
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 | |
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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 | |
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A Tensor of type variant . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/OptimizeDataset