tf.raw_ops.TopK
Finds values and indices of the k largest elements for the last dimension.
tf.raw_ops.TopK(
input, k, 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.
If k varies dynamically, use TopKV2 below.
| Args | |
|---|---|
input |
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64. 1-D or higher with last dimension at least k. |
k |
An int that is >= 0. Number of top elements to look for along the last dimension (along each row for matrices). |
sorted |
An optional bool. Defaults to True. If true the resulting k elements will be sorted by the values in descending order. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A tuple of Tensor objects (values, indices). |
|
values |
A Tensor. Has the same type as input. |
indices |
A Tensor of type int32. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/TopK