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
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
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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.
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static AddManySparseToTensorsMap.Options |
container(String container)
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static AddManySparseToTensorsMap | |
static AddManySparseToTensorsMap.Options |
sharedName(String sharedName)
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Output<TInt64> |
sparseHandles()
1-D.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
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. |
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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 |
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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. |
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