tf.raw_ops.RebatchDatasetV2
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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 .
|
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Last updated 2021-05-14 UTC.
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