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
|
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<TInt32> |
asOutput()
Returns the symbolic handle of the tensor.
|
static SetSize | |
Output<TInt32> |
output()
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
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<TInt32> 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 SetSize create (Scope scope, Operand<TInt64> setIndices, Operand<? extends TType> setValues, Operand<TInt64> 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<TInt32> output ()
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`.