operation
Modifier and Type | Method and Description |
---|---|
Output<Object> |
asOutput()
Returns the symbolic handle of a tensor.
|
static ExperimentalDenseToSparseBatchDataset |
create(Scope scope,
Operand<?> inputDataset,
Operand<Long> batchSize,
Operand<Long> rowShape,
List<Class<?>> outputTypes,
List<Shape> outputShapes)
Factory method to create a class wrapping a new ExperimentalDenseToSparseBatchDataset operation.
|
Output<?> |
handle() |
equals, hashCode, op, toString
public static ExperimentalDenseToSparseBatchDataset create(Scope scope, Operand<?> inputDataset, Operand<Long> batchSize, Operand<Long> rowShape, List<Class<?>> outputTypes, List<Shape> outputShapes)
scope
- current scopeinputDataset
- A handle to an input dataset. Must have a single component.batchSize
- A scalar representing the number of elements to accumulate in a
batch.rowShape
- A vector representing the dense shape of each row in the produced
SparseTensor. The shape may be partially specified, using `-1` to indicate
that a particular dimension should use the maximum size of all batch elements.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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