## Interpolate <a name="Interpolate"></a> {#openvino_docs_ops_image_Interpolate_1}

**Versioned name**: *Interpolate-1*

**Category**: Image processing

**Short description**: *Interpolate* layer performs interpolation of independent slices in input tensor by specified dimensions and attributes.

**Attributes**

* *axes*

  * **Description**: `axes` specify spatial dimension indices where interpolation is applied. Other dimensions are treated as batch dimensions. The order of elements in `axes` attribute matters and mapped directly to elements with the same indices in the 2nd input `target_spatial_shape`.
  * **Range of values**: list of non-negative integer numbers
  * **Type**: `int[]`
  * **Default value**: None
  * **Required**: *yes*

* *mode*

  * **Description**: specifies type of interpolation
  * **Range of values**: one of `nearest`, `linear`, `cubic`, `area`
  * **Type**: string
  * **Default value**: none
  * **Required**: *yes*

* *align_corners*

  * **Description**: *align_corners* is a flag that specifies whether to align corners or not. 1 means the alignment is applied, 0 means the alignment isn't applied.
  * **Range of values**: true or false
  * **Type**: `boolean`
  * **Default value**: true
  * **Required**: *no*

* *antialias*

  * **Description**: *antialias* is a flag that specifies whether to perform anti-aliasing.
  * **Range of values**:
    * false - do not perform anti-aliasing
    * true - perform anti-aliasing
  * **Type**: boolean
  * **Default value**: false
  * **Required**: *no*

* *pads_begin*

  * **Description**: *pads_beg* specify the number of pixels to add to the beginning of the image being interpolated.
This is a scalar that specifies padding for each spatial dimension.
  * **Range of values**: list of non-negative integer numbers
  * **Type**: `int`
  * **Default value**: 0
  * **Required**: *no*

* *pads_end*

  * **Description**: *pads_end* specify the number of pixels to add to the beginning of the image being interpolated.
This is a scalar that specifies padding for each spatial dimension.
  * **Range of values**: list of non-negative integer numbers
  * **Type**: `int`
  * **Default value**: 0
  * **Required**: *no*

**Inputs**

*   **1**: `data` - Input tensor with data for interpolation. Type of elements is any supported floating point type. Required.

*   **2**: `target_spatial_shape` - 1D tensor describing output shape for spatial axes. Number of elements matches the number of indices in *axes* attribute, the order matches as well. Required.

**Outputs**

*   **1**: Resulting interpolated tensor with elements of the same type as input `data` tensor. The shape of the output matches input `data` shape except spatial dimensions mentioned in `axes` attribute. For other dimensions shape matches sizes from `target_spaticl_shape` in order specified in `axes`.

**Example**

```xml
<layer ... type="Interpolate" ...>
    <data axes="2,3" align_corners="0" pads_begin="0" pads_end="0" mode="linear"/>
    <input>
        <port id="0">
            <dim>1</dim>
            <dim>2</dim>
            <dim>48</dim>
            <dim>80</dim>
        </port>
        <port id="1">
            <dim>2</dim>  <!--The values in this input are [50, 60] -->
        </port>
    </input>
    <output>
        <port id="0">
            <dim>1</dim>
            <dim>2</dim>
            <dim>50</dim>
            <dim>60</dim>
        </port>
    </output>
</layer>
```