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

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`.