¿Tengo una pregunta? Conéctese con la comunidad en el Foro de TensorFlow

tensorflow:: ops:: ExpandDims

``` #include <array_ops.h> ```

Inserts a dimension of 1 into a tensor's shape.

Summary

Given a tensor ``` input ``` , this operation inserts a dimension of 1 at the dimension index ``` axis ``` of ``` input ``` 's shape. The dimension index ``` axis ``` starts at zero; if you specify a negative number for ``` axis ``` it is counted backward from the end.

This operation is useful if you want to add a batch dimension to a single element. For example, if you have a single image of shape ``` [height, width, channels] ``` , you can make it a batch of 1 image with ``` expand_dims(image, 0) ``` , which will make the shape ``` [1, height, width, channels] ``` .

Other examples:

```# 't' is a tensor of shape [2]
shape(expand_dims(t, 0)) ==> [1, 2]
shape(expand_dims(t, 1)) ==> [2, 1]
shape(expand_dims(t, -1)) ==> [2, 1]```

```# 't2' is a tensor of shape [2, 3, 5]
shape(expand_dims(t2, 0)) ==> [1, 2, 3, 5]
shape(expand_dims(t2, 2)) ==> [2, 3, 1, 5]
shape(expand_dims(t2, 3)) ==> [2, 3, 5, 1]
```

This operation requires that:

``` -1-input.dims() <= dim <= input.dims() ```

This operation is related to ``` squeeze() ``` , which removes dimensions of size 1.

Args:

• scope: A Scope object
• axis: 0-D (scalar). Specifies the dimension index at which to expand the shape of ``` input ``` . Must be in the range ``` [-rank(input) - 1, rank(input)] ``` .

Returns:

• ``` Output ``` : Contains the same data as ``` input ``` , but its shape has an additional dimension of size 1 added.

Constructors and Destructors

``` ExpandDims (const :: tensorflow::Scope & scope, :: tensorflow::Input input, :: tensorflow::Input axis) ```

Public attributes

``` operation ```
``` Operation ```
``` output ```
``` :: tensorflow::Output ```

Public functions

``` node () const ```
``` ::tensorflow::Node * ```
``` operator::tensorflow::Input () const ```
``` ```
``` operator::tensorflow::Output () const ```
``` ```

Public attributes

operation

`Operation operation`

output

`::tensorflow::Output output`

Public functions

ExpandDims

``` ExpandDims(
const ::tensorflow::Scope & scope,
::tensorflow::Input input,
::tensorflow::Input axis
)```

node

`::tensorflow::Node * node() const `

operator::tensorflow::Input

` operator::tensorflow::Input() const `

operator::tensorflow::Output

` operator::tensorflow::Output() const `
[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Falta la información que necesito" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Muy complicado o demasiados pasos" },{ "type": "thumb-down", "id": "outOfDate", "label":"Desactualizado" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Otro" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Fácil de comprender" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Resolvió mi problema" },{ "type": "thumb-up", "id": "otherUp", "label":"Otro" }]