RaggedTensorFromVariant

public final class RaggedTensorFromVariant

Decodes a `variant` Tensor into a `RaggedTensor`.

Decodes the given `variant` Tensor and returns a `RaggedTensor`. The input could be a scalar, meaning it encodes a single `RaggedTensor` with ragged_rank `output_ragged_rank`. It could also have an arbitrary rank, in which case each element is decoded into a `RaggedTensor` with ragged_rank `input_ragged_rank` and these are then stacked according to the input shape to output a single `RaggedTensor` with ragged_rank `output_ragged_rank`. Each `variant` element in the input Tensor is decoded by retrieving from the element a 1-D `variant` Tensor with `input_ragged_rank + 1` Tensors, corresponding to the splits and values of the decoded `RaggedTensor`. If `input_ragged_rank` is -1, then it is inferred as `output_ragged_rank` - `rank(encoded_ragged)`. See `RaggedTensorToVariant` for the corresponding encoding logic.

Constants

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

Public Methods

static <T extends TType> RaggedTensorFromVariant<TInt64, T>
create(Scope scope, Operand<?> encodedRagged, Long inputRaggedRank, Long outputRaggedRank, Class<T> Tvalues)
Factory method to create a class wrapping a new RaggedTensorFromVariant operation using default output types.
static <U extends TNumber, T extends TType> RaggedTensorFromVariant<U, T>
create(Scope scope, Operand<?> encodedRagged, Long inputRaggedRank, Long outputRaggedRank, Class<T> Tvalues, Class<U> Tsplits)
Factory method to create a class wrapping a new RaggedTensorFromVariant operation.
Output<T>
outputDenseValues()
A Tensor representing the values of the output `RaggedTensor`.
List<Output<U>>
outputNestedSplits()
A list of one or more Tensors representing the splits of the output `RaggedTensor`.

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Return this unit of computation as a single Operation.
final String
toString()
boolean
equals(Object arg0)
final Class<?>
getClass()
int
hashCode()
final void
notify()
final void
notifyAll()
String
toString()
final void
wait(long arg0, int arg1)
final void
wait(long arg0)
final void
wait()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.

Constants

public static final String OP_NAME

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

Constant Value: "RaggedTensorFromVariant"

Public Methods

public static RaggedTensorFromVariant<TInt64, T> create (Scope scope, Operand<?> encodedRagged, Long inputRaggedRank, Long outputRaggedRank, Class<T> Tvalues)

Factory method to create a class wrapping a new RaggedTensorFromVariant operation using default output types.

Parameters
scope current scope
encodedRagged A `variant` Tensor containing encoded `RaggedTensor`s.
inputRaggedRank The ragged rank of each encoded `RaggedTensor` component in the input. If set to -1, this is inferred as `output_ragged_rank` - `rank(encoded_ragged)`
outputRaggedRank The expected ragged rank of the output `RaggedTensor`. The following must hold: `output_ragged_rank = rank(encoded_ragged) + input_ragged_rank`.
Returns
  • a new instance of RaggedTensorFromVariant

public static RaggedTensorFromVariant<U, T> create (Scope scope, Operand<?> encodedRagged, Long inputRaggedRank, Long outputRaggedRank, Class<T> Tvalues, Class<U> Tsplits)

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

Parameters
scope current scope
encodedRagged A `variant` Tensor containing encoded `RaggedTensor`s.
inputRaggedRank The ragged rank of each encoded `RaggedTensor` component in the input. If set to -1, this is inferred as `output_ragged_rank` - `rank(encoded_ragged)`
outputRaggedRank The expected ragged rank of the output `RaggedTensor`. The following must hold: `output_ragged_rank = rank(encoded_ragged) + input_ragged_rank`.
Returns
  • a new instance of RaggedTensorFromVariant

public Output<T> outputDenseValues ()

A Tensor representing the values of the output `RaggedTensor`.

public List<Output<U>> outputNestedSplits ()

A list of one or more Tensors representing the splits of the output `RaggedTensor`.