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` . |

© 2020 The TensorFlow Authors. All rights reserved.

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/DenseBincount