Number of unique elements along last dimension of input `set`.
Input `set` is a `SparseTensor` represented by `set_indices`, `set_values`, and `set_shape`. The last dimension contains values in a set, duplicates are allowed but ignored.
If `validate_indices` is `True`, this op validates the order and range of `set` indices.
Nested Classes
| class | SetSize.Options | Optional attributes for SetSize
|
|
Public Methods
| Output<Integer> |
asOutput()
Returns the symbolic handle of a tensor.
|
| static <T> SetSize | |
| Output<Integer> |
size()
For `set` ranked `n`, this is a `Tensor` with rank `n-1`, and the same 1st
`n-1` dimensions as `set`.
|
| static SetSize.Options |
validateIndices(Boolean validateIndices)
|
Inherited Methods
Public Methods
public Output<Integer> asOutput ()
Returns the symbolic handle of a 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 SetSize create (Scope scope, Operand<Long> setIndices, Operand<T> setValues, Operand<Long> setShape, Options... options)
Factory method to create a class wrapping a new SetSize operation.
Parameters
| scope | current scope |
|---|---|
| setIndices | 2D `Tensor`, indices of a `SparseTensor`. |
| setValues | 1D `Tensor`, values of a `SparseTensor`. |
| setShape | 1D `Tensor`, shape of a `SparseTensor`. |
| options | carries optional attributes values |
Returns
- a new instance of SetSize
public Output<Integer> size ()
For `set` ranked `n`, this is a `Tensor` with rank `n-1`, and the same 1st `n-1` dimensions as `set`. Each value is the number of unique elements in the corresponding `[0...n-1]` dimension of `set`.