public final class CacheDataset extends PrimitiveOp implements Operand<Object>
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.
operation
Modifier and Type | Method and Description |
---|---|
Output<Object> |
asOutput()
Returns the symbolic handle of a tensor.
|
static CacheDataset |
create(Scope scope,
Operand<?> inputDataset,
Operand<String> filename,
List<Class<?>> outputTypes,
List<Shape> outputShapes)
Factory method to create a class wrapping a new CacheDataset operation.
|
Output<?> |
handle() |
equals, hashCode, op, toString
public static CacheDataset create(Scope scope, Operand<?> inputDataset, Operand<String> filename, List<Class<?>> outputTypes, List<Shape> outputShapes)
scope
- current scopeinputDataset
- filename
- A path on the filesystem where we should cache the dataset. Note: this
will be a directory.outputTypes
- outputShapes
- public Output<?> handle()
public Output<Object> asOutput()
Operand
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.
asOutput
in interface Operand<Object>
OperationBuilder.addInput(Output)
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