Applies set operation along last dimension of 2 `SparseTensor` inputs.
See SetOperationOp::SetOperationFromContext for values of `set_operation`.
If `validate_indices` is `True`, `sparse.SparseToSparseSetOperation` validates the order and range of `set1` and `set2` indices.
Input `set1` is a `SparseTensor` represented by `set1_indices`, `set1_values`, and `set1_shape`. For `set1` ranked `n`, 1st `n-1` dimensions must be the same as `set2`. Dimension `n` contains values in a set, duplicates are allowed but ignored.
Input `set2` is a `SparseTensor` represented by `set2_indices`, `set2_values`, and `set2_shape`. For `set2` ranked `n`, 1st `n-1` dimensions must be the same as `set1`. Dimension `n` contains values in a set, duplicates are allowed but ignored.
If `validate_indices` is `True`, this op validates the order and range of `set1` and `set2` indices.
Output `result` is a `SparseTensor` represented by `result_indices`, `result_values`, and `result_shape`. For `set1` and `set2` ranked `n`, this has rank `n` and the same 1st `n-1` dimensions as `set1` and `set2`. The `nth` dimension contains the result of `set_operation` applied to the corresponding `[0...n-1]` dimension of `set`.
Nested Classes
| class | SparseToSparseSetOperation.Options | Optional attributes for SparseToSparseSetOperation
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Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| static <T extends TType> SparseToSparseSetOperation<T> |
create(Scope scope, Operand<TInt64> set1Indices, Operand<T> set1Values, Operand<TInt64> set1Shape, Operand<TInt64> set2Indices, Operand<T> set2Values, Operand<TInt64> set2Shape, String setOperation, Options... options)
Factory method to create a class wrapping a new SparseToSparseSetOperation operation.
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| Output<TInt64> |
resultIndices()
2D indices of a `SparseTensor`.
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| Output<TInt64> |
resultShape()
1D `Tensor` shape of a `SparseTensor`.
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| Output<T> |
resultValues()
1D values of a `SparseTensor`.
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| static SparseToSparseSetOperation.Options |
validateIndices(Boolean validateIndices)
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Inherited Methods
| boolean |
equals(Object arg0)
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| final Class<?> |
getClass()
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| int |
hashCode()
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| final void |
notify()
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| final void |
notifyAll()
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| String |
toString()
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| final void |
wait(long arg0, int arg1)
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| final void |
wait(long arg0)
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| final void |
wait()
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| abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
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| abstract Operation |
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public static SparseToSparseSetOperation<T> create (Scope scope, Operand<TInt64> set1Indices, Operand<T> set1Values, Operand<TInt64> set1Shape, Operand<TInt64> set2Indices, Operand<T> set2Values, Operand<TInt64> set2Shape, String setOperation, Options... options)
Factory method to create a class wrapping a new SparseToSparseSetOperation operation.
Parameters
| scope | current scope |
|---|---|
| set1Indices | 2D `Tensor`, indices of a `SparseTensor`. Must be in row-major order. |
| set1Values | 1D `Tensor`, values of a `SparseTensor`. Must be in row-major order. |
| set1Shape | 1D `Tensor`, shape of a `SparseTensor`. `set1_shape[0...n-1]` must be the same as `set2_shape[0...n-1]`, `set1_shape[n]` is the max set size across `0...n-1` dimensions. |
| set2Indices | 2D `Tensor`, indices of a `SparseTensor`. Must be in row-major order. |
| set2Values | 1D `Tensor`, values of a `SparseTensor`. Must be in row-major order. |
| set2Shape | 1D `Tensor`, shape of a `SparseTensor`. `set2_shape[0...n-1]` must be the same as `set1_shape[0...n-1]`, `set2_shape[n]` is the max set size across `0...n-1` dimensions. |
| options | carries optional attributes values |
Returns
- a new instance of SparseToSparseSetOperation
public Output<TInt64> resultShape ()
1D `Tensor` shape of a `SparseTensor`. `result_shape[0...n-1]` is the same as the 1st `n-1` dimensions of `set1` and `set2`, `result_shape[n]` is the max result set size across all `0...n-1` dimensions.