tf.raw_ops.BatchDatasetV2
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Creates a dataset that batches batch_size elements from input_dataset.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.raw_ops.BatchDatasetV2
tf.raw_ops.BatchDatasetV2(
input_dataset,
batch_size,
drop_remainder,
output_types,
output_shapes,
parallel_copy=False,
metadata='',
name=None
)
Args |
|---|
input_dataset
|
A Tensor of type variant.
|
batch_size
|
A Tensor of type int64.
A scalar representing the number of elements to accumulate in a batch.
|
drop_remainder
|
A Tensor of type bool.
A scalar representing whether the last batch should be dropped in case its size
is smaller than desired.
|
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.
|
parallel_copy
|
An optional bool. Defaults to False.
|
metadata
|
An optional string. Defaults to "".
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type variant.
|
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.BatchDatasetV2\n\n\u003cbr /\u003e\n\nCreates a dataset that batches `batch_size` elements from `input_dataset`.\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.BatchDatasetV2`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/BatchDatasetV2)\n\n\u003cbr /\u003e\n\n tf.raw_ops.BatchDatasetV2(\n input_dataset,\n batch_size,\n drop_remainder,\n output_types,\n output_shapes,\n parallel_copy=False,\n metadata='',\n name=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------------|-------------------------------------------------------------------------------------------------------------------------------------|\n| `input_dataset` | A `Tensor` of type `variant`. |\n| `batch_size` | A `Tensor` of type `int64`. A scalar representing the number of elements to accumulate in a batch. |\n| `drop_remainder` | A `Tensor` of type `bool`. A scalar representing whether the last batch should be dropped in case its size is smaller than desired. |\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| `parallel_copy` | An optional `bool`. Defaults to `False`. |\n| `metadata` | An optional `string`. Defaults to `\"\"`. |\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"]]
