@Operator(group="sparse") public final class AddManySparseToTensorsMap extends PrimitiveOp implements Operand<Long>
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.
Modifier and Type | Class and Description |
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static class |
AddManySparseToTensorsMap.Options
Optional attributes for
AddManySparseToTensorsMap |
operation
Modifier and Type | Method and Description |
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Output<Long> |
asOutput()
Returns the symbolic handle of a tensor.
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static AddManySparseToTensorsMap.Options |
container(String container) |
static <T> AddManySparseToTensorsMap |
create(Scope scope,
Operand<Long> sparseIndices,
Operand<T> sparseValues,
Operand<Long> sparseShape,
AddManySparseToTensorsMap.Options... options)
Factory method to create a class wrapping a new AddManySparseToTensorsMap operation.
|
static AddManySparseToTensorsMap.Options |
sharedName(String sharedName) |
Output<Long> |
sparseHandles()
1-D.
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equals, hashCode, op, toString
public static <T> AddManySparseToTensorsMap create(Scope scope, Operand<Long> sparseIndices, Operand<T> sparseValues, Operand<Long> sparseShape, AddManySparseToTensorsMap.Options... options)
scope
- current scopesparseIndices
- 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 valuespublic static AddManySparseToTensorsMap.Options container(String container)
container
- The container name for the `SparseTensorsMap` created by this op.public static AddManySparseToTensorsMap.Options sharedName(String sharedName)
sharedName
- The shared name for the `SparseTensorsMap` created by this op.
If blank, the new Operation's unique name is used.public Output<Long> sparseHandles()
public Output<Long> asOutput()
Operand
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.
asOutput
in interface Operand<Long>
OperationBuilder.addInput(Output)
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