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 >

Inherited Methods

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]`.