tf.raw_ops.ExperimentalRebatchDataset | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.ExperimentalRebatchDataset
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Creates a dataset that changes the batch size.
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tf.compat.v1.raw_ops.ExperimentalRebatchDataset
tf.raw_ops.ExperimentalRebatchDataset(
input_dataset,
num_replicas,
output_types,
output_shapes,
use_fallback=True,
name=None
)
Creates a dataset that changes the batch size of the dataset to current batch size // num_replicas.
| Args | |
|---|---|
| input_dataset | A Tensor of type variant. A variant tensor representing the input dataset. |
| num_replicas | A Tensor of type int64. A scalar representing the number of replicas to distribute this batch across. As a result of this transformation the current batch size would end up being divided by this parameter. |
| 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. |
| use_fallback | An optional bool. Defaults to True. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor of type variant. |
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Last updated 2024-04-26 UTC.