Applies lower_bound(sorted_search_values, values) along each row.
Each set of rows with the same index in (sorted_inputs, values) is treated independently. The resulting row is the equivalent of calling `np.searchsorted(sorted_inputs, values, side='left')`.
The result is not a global index to the entire `Tensor`, but rather just the index in the last dimension.
A 2-D example: sorted_sequence = [[0, 3, 9, 9, 10], [1, 2, 3, 4, 5]] values = [[2, 4, 9], [0, 2, 6]]
result = LowerBound(sorted_sequence, values)
result == [[1, 2, 2], [0, 1, 5]]
Public Methods
| Output<U> |
asOutput()
Returns the symbolic handle of a tensor.
|
| static <U extends Number, T> LowerBound<U> | |
| static <T> LowerBound<Integer> | |
| Output<U> |
output()
A `Tensor` with the same shape as `values`.
|
Inherited Methods
Public Methods
public Output<U> 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 LowerBound<U> create (Scope scope, Operand<T> sortedInputs, Operand<T> values, Class<U> outType)
Factory method to create a class wrapping a new LowerBound operation.
Parameters
| scope | current scope |
|---|---|
| sortedInputs | 2-D Tensor where each row is ordered. |
| values | 2-D Tensor with the same numbers of rows as `sorted_search_values`. Contains the values that will be searched for in `sorted_search_values`. |
Returns
- a new instance of LowerBound
public static LowerBound<Integer> create (Scope scope, Operand<T> sortedInputs, Operand<T> values)
Factory method to create a class wrapping a new LowerBound operation using default output types.
Parameters
| scope | current scope |
|---|---|
| sortedInputs | 2-D Tensor where each row is ordered. |
| values | 2-D Tensor with the same numbers of rows as `sorted_search_values`. Contains the values that will be searched for in `sorted_search_values`. |
Returns
- a new instance of LowerBound
public Output<U> output ()
A `Tensor` with the same shape as `values`. It contains the first scalar index into the last dimension where values can be inserted without changing the ordered property.