A substitute for InterleaveDataset
on a fixed list of N
datasets.
tf.raw_ops.DirectedInterleaveDataset( selector_input_dataset, data_input_datasets, output_types, output_shapes, name=None )
Args | |
---|---|
selector_input_dataset | A Tensor of type variant . A dataset of scalar DT_INT64 elements that determines which of the N data inputs should produce the next output element. |
data_input_datasets | A list of at least 1 Tensor objects with type variant . N datasets with the same type that will be interleaved according to the values of selector_input_dataset . |
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 . |
name | A name for the operation (optional). |
Returns | |
---|---|
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/r2.3/api_docs/python/tf/raw_ops/DirectedInterleaveDataset