tf.raw_ops.CacheDataset
Creates a dataset that caches elements from input_dataset.
tf.raw_ops.CacheDataset(
input_dataset, filename, output_types, output_shapes, 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. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor of type variant. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/CacheDataset