tf.raw_ops.Bincount
Counts the number of occurrences of each value in an integer array.
tf.raw_ops.Bincount( arr, size, weights, name=None )
Outputs a vector with length size
and the same dtype as weights
. If weights
are empty, then index i
stores the number of times the value i
is counted in arr
. If weights
are non-empty, then index i
stores the sum of the value in weights
at each index where the corresponding value in arr
is i
.
Values in arr
outside of the range [0, size) are ignored.
Args | |
---|---|
arr | A Tensor of type int32 . int32 Tensor . |
size | A Tensor of type int32 . non-negative int32 scalar Tensor . |
weights | A Tensor . Must be one of the following types: int32 , int64 , float32 , float64 . is an int32, int64, float32, or float64 Tensor with the same shape as arr , or a length-0 Tensor , in which case it acts as all weights equal to 1. |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor . Has the same type as weights . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/Bincount