tf.compat.v1.bincount | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.bincount
Counts the number of occurrences of each value in an integer array.
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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 lengthtf.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 isi.
| Args | |
|---|---|
| arr | An int32 tensor of non-negative values. |
| weights | If non-None, must be the same shape as arr. For each value inarr, 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 thanmaxlength, 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. |
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Last updated 2024-04-26 UTC.