มีคำถาม? เชื่อมต่อกับชุมชนที่ฟอรัม TensorFlow

# nsl.lib.replicate_embeddings

Replicates the given `embeddings` by `replicate_times`.

This function is useful when comparing the same instance with multiple other instances. For example, given a seed and its neighbors, this function can be used to replicate the embeddings of the seed by the number of its neighbors, such that the distances between the seed and its neighbors can be computed efficiently.

The `replicate_times` argument is either a scalar, or a 1-D tensor. For example, if

``````embeddings = [[0, 1, 2], [3, 4, 5], [6, 7, 8]]
``````

then we would have the following results for different `replicate_times` arguments:

``````replicate_times = 2
result = [[0, 1, 2], [0, 1, 2], [3, 4, 5], [3, 4, 5], [6, 7, 8], [6, 7, 8]]
``````

and

``````replicate_times = [3, 0, 1]
result = [[0, 1, 2], [0, 1, 2], [0, 1, 2], [6, 7, 8]]
``````

`embeddings` A Tensor of shape `[batch_size, d1, ..., dN]`.
`replicate_times` An integer scalar or an integer 1-D Tensor of shape ```[batch size]```. Each element indicates the number of times the corresponding row in `embeddings` should be replicated.

A Tensor of shape `[N, d1, ..., dN]`, where `N` is the sum of all elements in `replicate_times`.

`InvalidArgumentError` If any value in `replicate_times` is negative.
`TypeError` If `replicate_times` contains any value that cannot be cast to the `int32` type.

[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]