tf.raw_ops.DenseBincount
Counts the number of occurrences of each value in an integer array.
tf.raw_ops.DenseBincount(
input, size, weights, binary_output=False, 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 | |
|---|---|
input |
A Tensor. Must be one of the following types: int32, int64. 1D or 2D int Tensor. |
size |
A Tensor. Must have the same type as input. non-negative int 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. |
binary_output |
An optional bool. Defaults to False. bool; Whether the kernel should count the appearance or number of occurrences. |
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 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/DenseBincount