tf.raw_ops.DirectedInterleaveDataset
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. |
© 2020 The TensorFlow Authors. All rights reserved.
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