tf.bincount( arr, weights=None, minlength=None, maxlength=None, dtype=tf.int32 )
Counts the number of occurrences of each value in an integer array.
maxlength are not given, returns a vector with length
tf.reduce_max(arr) + 1 if
arr is non-empty, and length 0 otherwise.
weights are non-None, then index
i of the output stores the sum of the
weights at each index where the corresponding value in
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
arrthat are equal or greater than
maxlength, ensuring that the output has length at most
weightsis None, determines the type of the output bins.
A vector with the same dtype as
weights or the given
dtype. The bin