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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