Finds values and indices of the `k` largest elements for the last dimension.
If the input is a vector (rank-1), finds the `k` largest entries in the vector and outputs their values and indices as vectors. Thus `values[j]` is the `j`-th largest entry in `input`, and its index is `indices[j]`.
For matrices (resp. higher rank input), computes the top `k` entries in each row (resp. vector along the last dimension). Thus,
values.shape = indices.shape = input.shape[:-1] + [k]
If two elements are equal, the lower-index element appears first.
Nested Classes
class | TopK.Options | Optional attributes for TopK
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
static <T extends TNumber> TopK<T> | |
Output<TInt32> |
indices()
The indices of `values` within the last dimension of `input`.
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static TopK.Options |
sorted(Boolean sorted)
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Output<T> |
values()
The `k` largest elements along each last dimensional slice.
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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 TopK<T> create (Scope scope, Operand<T> input, Operand<TInt32> k, Options... options)
Factory method to create a class wrapping a new TopK operation.
Parameters
scope | current scope |
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input | 1-D or higher with last dimension at least `k`. |
k | 0-D. Number of top elements to look for along the last dimension (along each row for matrices). |
options | carries optional attributes values |
Returns
- a new instance of TopK
public static TopK.Options sorted (Boolean sorted)
Parameters
sorted | If true the resulting `k` elements will be sorted by the values in descending order. |
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