AddManySparseToTensorsMap

public final class AddManySparseToTensorsMap

Add an `N`-minibatch `SparseTensor` to a `SparseTensorsMap`, return `N` handles.

A `SparseTensor` of rank `R` is represented by three tensors: `sparse_indices`, `sparse_values`, and `sparse_shape`, where 

sparse_indices.shape[1] == sparse_shape.shape[0] == R
 An `N`-minibatch of `SparseTensor` objects is represented as a `SparseTensor` having a first `sparse_indices` column taking values between `[0, N)`, where the minibatch size `N == sparse_shape[0]`.

The input `SparseTensor` must have rank `R` greater than 1, and the first dimension is treated as the minibatch dimension. Elements of the `SparseTensor` must be sorted in increasing order of this first dimension. The stored `SparseTensor` objects pointed to by each row of the output `sparse_handles` will have rank `R-1`.

The `SparseTensor` values can then be read out as part of a minibatch by passing the given keys as vector elements to `TakeManySparseFromTensorsMap`. To ensure the correct `SparseTensorsMap` is accessed, ensure that the same `container` and `shared_name` are passed to that Op. If no `shared_name` is provided here, instead use the name of the Operation created by calling `sparse.AddManySparseToTensorsMap` as the `shared_name` passed to `TakeManySparseFromTensorsMap`. Ensure the Operations are colocated.

Nested Classes

class AddManySparseToTensorsMap.Options Optional attributes for AddManySparseToTensorsMap  

Constants

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

Public Methods

Output<TInt64>
asOutput()
Returns the symbolic handle of the tensor.
static AddManySparseToTensorsMap.Options
container(String container)
static AddManySparseToTensorsMap
create(Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Options... options)
Factory method to create a class wrapping a new AddManySparseToTensorsMap operation.
static AddManySparseToTensorsMap.Options
sharedName(String sharedName)
Output<TInt64>
sparseHandles()
1-D.

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.
org.tensorflow.Operand
abstract Output<TInt64>
asOutput()
Returns the symbolic handle of the tensor.
abstract TInt64
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<TInt64>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

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

Constant Value: "AddManySparseToTensorsMap"

Public Methods

public Output<TInt64> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static AddManySparseToTensorsMap.Options container (String container)

Parameters
container The container name for the `SparseTensorsMap` created by this op.

public static AddManySparseToTensorsMap create (Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Options... options)

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

Parameters
scope current scope
sparseIndices 2-D. The `indices` of the minibatch `SparseTensor`. `sparse_indices[:, 0]` must be ordered values in `[0, N)`.
sparseValues 1-D. The `values` of the minibatch `SparseTensor`.
sparseShape 1-D. The `shape` of the minibatch `SparseTensor`. The minibatch size `N == sparse_shape[0]`.
options carries optional attributes values
Returns
  • a new instance of AddManySparseToTensorsMap

public static AddManySparseToTensorsMap.Options sharedName (String sharedName)

Parameters
sharedName The shared name for the `SparseTensorsMap` created by this op. If blank, the new Operation's unique name is used.

public Output<TInt64> sparseHandles ()

1-D. The handles of the `SparseTensor` now stored in the `SparseTensorsMap`. Shape: `[N]`.