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# tf.raw_ops.ConcatOffset

Computes offsets of concat inputs within its output.

#### For example:

``````# 'x' is [2, 2, 7]
# 'y' is [2, 3, 7]
# 'z' is [2, 5, 7]
concat_offset(2, [x, y, z]) => [0, 0, 0], [0, 2, 0], [0, 5, 0]
``````

This is typically used by gradient computations for a concat operation.

`concat_dim` A `Tensor` of type `int32`. The dimension along which to concatenate.
`shape` A list of at least 2 `Tensor` objects with type `int32`. The `N` int32 vectors representing shape of tensors being concatenated.
`name` A name for the operation (optional).

A list with the same length as `shape` of `Tensor` objects with type `int32`.

[{ "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"label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]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" }]