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.
|