operation
Modifier and Type | Method and Description |
---|---|
Output<Object> |
asOutput()
Returns the symbolic handle of a tensor.
|
static WindowDataset |
create(Scope scope,
Operand<?> inputDataset,
Operand<Long> size,
Operand<Long> shift,
Operand<Long> stride,
Operand<Boolean> dropRemainder,
List<Class<?>> outputTypes,
List<Shape> outputShapes)
Factory method to create a class wrapping a new WindowDataset operation.
|
Output<?> |
handle() |
equals, hashCode, op, toString
public static WindowDataset create(Scope scope, Operand<?> inputDataset, Operand<Long> size, Operand<Long> shift, Operand<Long> stride, Operand<Boolean> dropRemainder, List<Class<?>> outputTypes, List<Shape> outputShapes)
scope
- current scopeinputDataset
- size
- A scalar representing the number of elements to accumulate in a window.shift
- A scalar representing the steps moving the sliding window forward in one
iteration. It must be positive.stride
- A scalar representing the stride of the input elements of the sliding window.
It must be positive.dropRemainder
- A scalar representing whether a window should be dropped in case its size is
smaller than desired.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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