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tf.raw_ops.RebatchDatasetV2

Creates a dataset that changes the batch size.

tf.raw_ops.RebatchDatasetV2(
    input_dataset,
    batch_sizes,
    drop_remainder,
    output_types,
    output_shapes,
    name=None
)

Creates a dataset that rebatches elements from input_dataset into new batch sizes.

Args
input_dataset A Tensor of type variant. A variant tensor representing the input dataset.
batch_sizes A Tensor of type int64. A vector of integers representing the size of batches to produce. These values are cycled through in order.
drop_remainder A Tensor of type bool.
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.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/RebatchDatasetV2