tf.nn.top_k( input, k=1, sorted=True, name=None )
Defined in tensorflow/python/ops/nn_ops.py
.
See the guide: Neural Network > Evaluation
Finds values and indices of the k
largest entries 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.
input
: 1-D or higher Tensor
with last dimension at least k
.k
: 0-D int32
Tensor
. Number of top elements to look for along the last dimension (along each row for matrices).sorted
: If true the resulting k
elements will be sorted by the values in descending order.name
: Optional name for the operation.values
: The k
largest elements along each last dimensional slice.indices
: The indices of values
within the last dimension of input
.
© 2018 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/api_docs/python/tf/nn/top_k