Applies set operation along last dimension of 2 `Tensor` inputs.
See SetOperationOp::SetOperationFromContext for values of `set_operation`.
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 | DenseToDenseSetOperation.Options | Optional attributes for DenseToDenseSetOperation
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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> DenseToDenseSetOperation<T> |
create(Scope scope, Operand<T> set1, Operand<T> set2, String setOperation, Options... options)
Factory method to create a class wrapping a new DenseToDenseSetOperation 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 DenseToDenseSetOperation.Options |
validateIndices(Boolean validateIndices)
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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 static DenseToDenseSetOperation<T> create (Scope scope, Operand<T> set1, Operand<T> set2, String setOperation, Options... options)
Factory method to create a class wrapping a new DenseToDenseSetOperation operation.
Parameters
| scope | current scope |
|---|---|
| set1 | `Tensor` with rank `n`. 1st `n-1` dimensions must be the same as `set2`. Dimension `n` contains values in a set, duplicates are allowed but ignored. |
| set2 | `Tensor` with rank `n`. 1st `n-1` dimensions must be the same as `set1`. Dimension `n` contains values in a set, duplicates are allowed but ignored. |
| options | carries optional attributes values |
Returns
- a new instance of DenseToDenseSetOperation
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.