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 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.RebatchDatasetV2\n\n\u003cbr /\u003e\n\nCreates a dataset that changes the batch size.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.RebatchDatasetV2`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/RebatchDatasetV2)\n\n\u003cbr /\u003e\n\n tf.raw_ops.RebatchDatasetV2(\n input_dataset,\n batch_sizes,\n drop_remainder,\n output_types,\n output_shapes,\n name=None\n )\n\nCreates a dataset that rebatches elements from `input_dataset` into new batch\nsizes.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------------|-----------------------------------------------------------------------------------------------------------------------------------------|\n| `input_dataset` | A `Tensor` of type `variant`. A variant tensor representing the input dataset. |\n| `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. |\n| `drop_remainder` | A `Tensor` of type `bool`. |\n| `output_types` | A list of `tf.DTypes` that has length `\u003e= 1`. |\n| `output_shapes` | A list of shapes (each a [`tf.TensorShape`](../../tf/TensorShape) or list of `ints`) that has length `\u003e= 1`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `variant`. ||\n\n\u003cbr /\u003e"]]
