tf.raw_ops.ExperimentalDirectedInterleaveDataset
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A substitute for InterleaveDataset on a fixed list of N datasets.
tf.raw_ops.ExperimentalDirectedInterleaveDataset(
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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Last updated 2024-04-26 UTC.
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