tf.raw_ops.ParallelMapDataset
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Creates a dataset that applies f to the outputs of input_dataset.
tf.raw_ops.ParallelMapDataset(
input_dataset,
other_arguments,
num_parallel_calls,
f,
output_types,
output_shapes,
use_inter_op_parallelism=True,
sloppy=False,
preserve_cardinality=False,
metadata='',
name=None
)
Unlike a "MapDataset", which applies f sequentially, this dataset invokes up
to num_parallel_calls copies of f in parallel.
Args |
|---|
input_dataset
|
A Tensor of type variant.
|
other_arguments
|
A list of Tensor objects.
|
num_parallel_calls
|
A Tensor of type int32.
The number of concurrent invocations of f that process
elements from input_dataset in parallel.
|
f
|
A function decorated with @Defun.
|
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_inter_op_parallelism
|
An optional bool. Defaults to True.
|
sloppy
|
An optional bool. Defaults to False.
|
preserve_cardinality
|
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.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.ParallelMapDataset\n\n\u003cbr /\u003e\n\nCreates a dataset that applies `f` to the outputs of `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.ParallelMapDataset`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/ParallelMapDataset)\n\n\u003cbr /\u003e\n\n tf.raw_ops.ParallelMapDataset(\n input_dataset,\n other_arguments,\n num_parallel_calls,\n f,\n output_types,\n output_shapes,\n use_inter_op_parallelism=True,\n sloppy=False,\n preserve_cardinality=False,\n metadata='',\n name=None\n )\n\nUnlike a \"MapDataset\", which applies `f` sequentially, this dataset invokes up\nto `num_parallel_calls` copies of `f` in parallel.\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| `other_arguments` | A list of `Tensor` objects. |\n| `num_parallel_calls` | A `Tensor` of type `int32`. The number of concurrent invocations of `f` that process elements from `input_dataset` in parallel. |\n| `f` | A function decorated with @Defun. |\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| `use_inter_op_parallelism` | An optional `bool`. Defaults to `True`. |\n| `sloppy` | An optional `bool`. Defaults to `False`. |\n| `preserve_cardinality` | 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"]]
