RaggedGather

public final class RaggedGather

Gather ragged slices from `params` axis `0` according to `indices`.

Outputs a `RaggedTensor` output composed from `output_dense_values` and `output_nested_splits`, such that: 

output.shape = indices.shape + params.shape[1:]
 output.ragged_rank = indices.shape.ndims + params.ragged_rank
 output[i...j, d0...dn] = params[indices[i...j], d0...dn]
where
  • `params = ragged.from_nested_row_splits(params_dense_values, params_nested_splits)` provides the values that should be gathered.
  • `indices` ia a dense tensor with dtype `int32` or `int64`, indicating which values should be gathered.
  • `output = ragged.from_nested_row_splits(output_dense_values, output_nested_splits)` is the output tensor.
(Note: This c++ op is used to implement the higher-level python `tf.ragged.gather` op, which also supports ragged indices.)

Public Methods

static <T extends Number, U, V extends Number> RaggedGather<T, U>
create(Scope scope, Iterable<Operand<T>> paramsNestedSplits, Operand<U> paramsDenseValues, Operand<V> indices, Long OUTPUTRAGGEDRANK)
Factory method to create a class wrapping a new RaggedGather operation.
Output<U>
outputDenseValues()
The `flat_values` for the returned RaggedTensor.
List<Output<T>>
outputNestedSplits()
The `nested_row_splits` tensors that define the row-partitioning for the returned RaggedTensor.

Inherited Methods

Public Methods

public static RaggedGather<T, U> create (Scope scope, Iterable<Operand<T>> paramsNestedSplits, Operand<U> paramsDenseValues, Operand<V> indices, Long OUTPUTRAGGEDRANK)

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

Parameters
scope current scope
paramsNestedSplits The `nested_row_splits` tensors that define the row-partitioning for the `params` RaggedTensor input.
paramsDenseValues The `flat_values` for the `params` RaggedTensor. There was a terminology change at the python level from dense_values to flat_values, so dense_values is the deprecated name.
indices Indices in the outermost dimension of `params` of the values that should be gathered.
OUTPUTRAGGEDRANK The ragged rank of the output RaggedTensor. `output_nested_splits` will contain this number of `row_splits` tensors. This value should equal `indices.shape.ndims + params.ragged_rank - 1`.
Returns
  • a new instance of RaggedGather

public Output<U> outputDenseValues ()

The `flat_values` for the returned RaggedTensor.

public List<Output<T>> outputNestedSplits ()

The `nested_row_splits` tensors that define the row-partitioning for the returned RaggedTensor.