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. |