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# tf.unique_with_counts

Finds unique elements in a 1-D tensor.

This operation returns a tensor y containing all of the unique elements of x sorted in the same order that they occur in x. This operation also returns a tensor idx the same size as x that contains the index of each value of x in the unique output y. Finally, it returns a third tensor count that contains the count of each element of y in x. In other words:

y[idx[i]] = x[i] for i in [0, 1,...,rank(x) - 1]

#### For example:

# tensor 'x' is [1, 1, 2, 4, 4, 4, 7, 8, 8]
y, idx, count = unique_with_counts(x)
y ==> [1, 2, 4, 7, 8]
idx ==> [0, 0, 1, 2, 2, 2, 3, 4, 4]
count ==> [2, 1, 3, 1, 2]

x A Tensor. 1-D.
out_idx An optional tf.DType from: tf.int32, tf.int64. Defaults to tf.int32.
name A name for the operation (optional).

A tuple of Tensor objects (y, idx, count).
y A Tensor. Has the same type as x.
idx A Tensor of type out_idx.
count A Tensor of type out_idx.

[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Não contém as informações de que eu preciso" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Muito complicado / etapas demais" },{ "type": "thumb-down", "id": "outOfDate", "label":"Desatualizado" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Outro" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Fácil de entender" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Meu problema foi resolvido" },{ "type": "thumb-up", "id": "otherUp", "label":"Outro" }]