DeserializeSparse

public final class DeserializeSparse

Deserialize `SparseTensor` objects.

The input `serialized_sparse` must have the shape `[?, ?, ..., ?, 3]` where the last dimension stores serialized `SparseTensor` objects and the other N dimensions (N >= 0) correspond to a batch. The ranks of the original `SparseTensor` objects must all match. When the final `SparseTensor` is created, its rank is the rank of the incoming `SparseTensor` objects plus N; the sparse tensors have been concatenated along new dimensions, one for each batch.

The output `SparseTensor` object's shape values for the original dimensions are the max across the input `SparseTensor` objects' shape values for the corresponding dimensions. The new dimensions match the size of the batch.

The input `SparseTensor` objects' indices are assumed ordered in standard lexicographic order. If this is not the case, after this step run `SparseReorder` to restore index ordering.

For example, if the serialized input is a `[2 x 3]` matrix representing two original `SparseTensor` objects:

index = [ 0] [10] [20] values = [1, 2, 3] shape = [50]

and

index = [ 2] [10] values = [4, 5] shape = [30]

then the final deserialized `SparseTensor` will be:

index = [0 0] [0 10] [0 20] [1 2] [1 10] values = [1, 2, 3, 4, 5] shape = [2 50]

Constants

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

Public Methods

static <U extends TType > DeserializeSparse <U>
create ( Scope scope, Operand <? extends TType > serializedSparse, Class<U> dtype)
Factory method to create a class wrapping a new DeserializeSparse operation.
Output < TInt64 >
Output < TInt64 >
Output <U>

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "DeserializeSparse"

Public Methods

public static DeserializeSparse <U> create ( Scope scope, Operand <? extends TType > serializedSparse, Class<U> dtype)

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

Parameters
scope current scope
serializedSparse The serialized `SparseTensor` objects. The last dimension must have 3 columns.
dtype The `dtype` of the serialized `SparseTensor` objects.
Returns
  • a new instance of DeserializeSparse

public Output < TInt64 > sparseIndices ()

public Output < TInt64 > sparseShape ()

public Output <U> sparseValues ()