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.
|
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Last updated 2022-11-04 UTC.
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