Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

SlidingWindowDataset

public final class SlidingWindowDataset

Creates a dataset that passes a sliding window over `input_dataset`.

Public Methods

Output<Object>
asOutput()
Returns the symbolic handle of a tensor.
static SlidingWindowDataset
create(Scope scope, Operand<?> inputDataset, Operand<Long> windowSize, Operand<Long> windowShift, Operand<Long> windowStride, List<Class<?>> outputTypes, List<Shape> outputShapes)
Factory method to create a class wrapping a new SlidingWindowDataset operation.
Output<?>
handle()

Inherited Methods

Public Methods

public Output<Object> asOutput ()

Returns the symbolic handle of a 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 SlidingWindowDataset create (Scope scope, Operand<?> inputDataset, Operand<Long> windowSize, Operand<Long> windowShift, Operand<Long> windowStride, List<Class<?>> outputTypes, List<Shape> outputShapes)

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

Parameters
scope current scope
windowSize A scalar representing the number of elements in the sliding window.
windowShift A scalar representing the steps moving the sliding window forward in one iteration. It must be positive.
windowStride A scalar representing the stride of the input elements of the sliding window. It must be positive.
Returns
  • a new instance of SlidingWindowDataset

public Output<?> handle ()