DeserializeManySparse

public final class DeserializeManySparse

Deserialize and concatenate `SparseTensors` from a serialized minibatch.

The input `serialized_sparse` must be a string matrix of shape `[N x 3]` where `N` is the minibatch size and the rows correspond to packed outputs of `SerializeSparse`. The ranks of the original `SparseTensor` objects must all match. When the final `SparseTensor` is created, it has rank one higher than the ranks of the incoming `SparseTensor` objects (they have been concatenated along a new row dimension).

The output `SparseTensor` object's shape values for all dimensions but the first are the max across the input `SparseTensor` objects' shape values for the corresponding dimensions. Its first shape value is `N`, the minibatch size.

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 <T extends TType> DeserializeManySparse<T>
create(Scope scope, Operand<TString> serializedSparse, Class<T> dtype)
Factory method to create a class wrapping a new DeserializeManySparse operation.
Output<TInt64>
sparseIndices()
Output<TInt64>
sparseShape()
Output<T>
sparseValues()

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: "DeserializeManySparse"

Public Methods

public static DeserializeManySparse<T> create (Scope scope, Operand<TString> serializedSparse, Class<T> dtype)

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

Parameters
scope current scope
serializedSparse 2-D, The `N` serialized `SparseTensor` objects. Must have 3 columns.
dtype The `dtype` of the serialized `SparseTensor` objects.
Returns
  • a new instance of DeserializeManySparse

public Output<TInt64> sparseIndices ()

public Output<TInt64> sparseShape ()

public Output<T> sparseValues ()