tf.keras.ops.top_k
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Finds the top-k values and their indices in a tensor.
tf.keras.ops.top_k(
x, k, sorted=True
)
Args |
|---|
x
|
Input tensor.
|
k
|
An integer representing the number of top elements to retrieve.
|
sorted
|
A boolean indicating whether to sort the output in
descending order. Defaults toTrue.
|
Returns |
|---|
|
A tuple containing two tensors. The first tensor contains the
top-k values, and the second tensor contains the indices of the
top-k values in the input tensor.
|
Example:
x = keras.ops.convert_to_tensor([5, 2, 7, 1, 9, 3])
values, indices = top_k(x, k=3)
print(values)
array([9 7 5], shape=(3,), dtype=int32)
print(indices)
array([4 2 0], shape=(3,), dtype=int32)
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Last updated 2024-06-07 UTC.
[null,null,["Last updated 2024-06-07 UTC."],[],[],null,["# tf.keras.ops.top_k\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/ops/math.py#L136-L163) |\n\nFinds the top-k values and their indices in a tensor. \n\n tf.keras.ops.top_k(\n x, k, sorted=True\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|-----------------------------------------------------------------------------------------|\n| `x` | Input tensor. |\n| `k` | An integer representing the number of top elements to retrieve. |\n| `sorted` | A boolean indicating whether to sort the output in descending order. Defaults to`True`. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tuple containing two tensors. The first tensor contains the top-k values, and the second tensor contains the indices of the top-k values in the input tensor. ||\n\n\u003cbr /\u003e\n\n#### Example:\n\n x = keras.ops.convert_to_tensor([5, 2, 7, 1, 9, 3])\n values, indices = top_k(x, k=3)\n print(values)\n array([9 7 5], shape=(3,), dtype=int32)\n print(indices)\n array([4 2 0], shape=(3,), dtype=int32)"]]
View source on GitHub