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# tf.image.transpose

Transpose image(s) by swapping the height and width dimension.

#### Usage Example:

````x = [[[1.0, 2.0, 3.0],`
`      [4.0, 5.0, 6.0]],`
`    [[7.0, 8.0, 9.0],`
`      [10.0, 11.0, 12.0]]]`
`tf.image.transpose(x)`
`<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=`
`array([[[ 1.,  2.,  3.],`
`        [ 7.,  8.,  9.]],`
`       [[ 4.,  5.,  6.],`
`        [10., 11., 12.]]], dtype=float32)>`
```

`image` 4-D Tensor of shape `[batch, height, width, channels]` or 3-D Tensor of shape `[height, width, channels]`.
`name` A name for this operation (optional).

If `image` was 4-D, a 4-D float Tensor of shape `[batch, width, height, channels]` If `image` was 3-D, a 3-D float Tensor of shape `[width, height, channels]`

`ValueError` if the shape of `image` not supported.

#### Usage Example:

````image = [[[1, 2], [3, 4]],`
`        [[5, 6], [7, 8]],`
`        [[9, 10], [11, 12]]]`
`image = tf.constant(image)`
`tf.image.transpose(image)`
`<tf.Tensor: shape=(2, 3, 2), dtype=int32, numpy=`
`array([[[ 1,  2],`
`       [ 5,  6],`
`       [ 9, 10]],`
`      [[ 3,  4],`
`       [ 7,  8],`
`       [11, 12]]], dtype=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"label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]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" }]