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 2023-10-06 UTC.
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{"lastModified": "Last updated 2023-10-06 UTC."}
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