TensorFlow 2 version
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View source on GitHub
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Finds values and indices of the k largest entries for the last dimension.
tf.math.top_k(
input, k=1, sorted=True, name=None
)
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.
Args | |
|---|---|
input
|
1-D or higher Tensor with last dimension at least k.
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k
|
0-D int32 Tensor. Number of top elements to look for along the last
dimension (along each row for matrices).
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sorted
|
If true the resulting k elements will be sorted by the values in
descending order.
|
name
|
Optional name for the operation. |
Returns | |
|---|---|
values
|
The k largest elements along each last dimensional slice.
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indices
|
The indices of values within the last dimension of input.
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