tf.compat.v1.bincount
Counts the number of occurrences of each value in an integer array.
tf.compat.v1.bincount(
arr, weights=None, minlength=None, maxlength=None, dtype=tf.dtypes.int32
)
If minlength and maxlength are not given, returns a vector with length tf.reduce_max(arr) + 1 if arr is non-empty, and length 0 otherwise. If weights are non-None, then index i of the output stores the sum of the value in weights at each index where the corresponding value in arr is i.
| Args | |
|---|---|
arr |
An int32 tensor of non-negative values. |
weights |
If non-None, must be the same shape as arr. For each value in arr, the bin will be incremented by the corresponding weight instead of 1. |
minlength |
If given, ensures the output has length at least minlength, padding with zeros at the end if necessary. |
maxlength |
If given, skips values in arr that are equal or greater than maxlength, ensuring that the output has length at most maxlength. |
dtype |
If weights is None, determines the type of the output bins. |
| Returns | |
|---|---|
A vector with the same dtype as weights or the given dtype. The bin values. |
© 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/compat/v1/bincount