CacheDataset

public final class CacheDataset

Creates a dataset that caches elements from `input_dataset`.

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.

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output < TType >
asOutput ()
Returns the symbolic handle of the tensor.
static CacheDataset
create ( Scope scope, Operand <?> inputDataset, Operand < TString > filename, List<Class<? extends TType >> outputTypes, List< Shape > outputShapes)
Factory method to create a class wrapping a new CacheDataset operation.
Output <?>

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "CacheDataset"

Public Methods

public Output < TType > asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static CacheDataset create ( Scope scope, Operand <?> inputDataset, Operand < TString > filename, List<Class<? extends TType >> outputTypes, List< Shape > outputShapes)

Factory method to create a class wrapping a new CacheDataset operation.

Parameters
scope current scope
filename A path on the filesystem where we should cache the dataset. Note: this will be a directory.
Returns
  • a new instance of CacheDataset

public Output <?> handle ()