tf.raw_ops.CacheDataset
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Creates a dataset that caches elements from input_dataset.
tf.raw_ops.CacheDataset(
input_dataset,
filename,
output_types,
output_shapes,
metadata='',
name=None
)
A CacheDataset will iterate over the input_dataset, and store tensors. If the
cache already exists, the cache will be used. If the cache is inappropriate
(e.g. cannot be opened, contains tensors of the wrong shape / size), an error
will the returned when used.
Args |
|---|
input_dataset
|
A Tensor of type variant.
|
filename
|
A Tensor of type string.
A path on the filesystem where we should cache the dataset. Note: this
will be a directory.
|
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.
|
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.CacheDataset\n\n\u003cbr /\u003e\n\nCreates a dataset that caches 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.CacheDataset`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/CacheDataset)\n\n\u003cbr /\u003e\n\n tf.raw_ops.CacheDataset(\n input_dataset,\n filename,\n output_types,\n output_shapes,\n metadata='',\n name=None\n )\n\nA CacheDataset will iterate over the input_dataset, and store tensors. If the\ncache already exists, the cache will be used. If the cache is inappropriate\n(e.g. cannot be opened, contains tensors of the wrong shape / size), an error\nwill the returned when used.\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| `filename` | A `Tensor` of type `string`. A path on the filesystem where we should cache the dataset. Note: this will be a directory. |\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| `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"]]
