openvino/docs/ops/condition/Select_1.md

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## Select <a name="Select"></a> {#openvino_docs_ops_condition_Select_1}
**Versioned name**: *Select-1*
**Category**: *Conditions*
**Short description**: *Select* returns a tensor filled with the elements from the second or the third inputs, depending on the condition (the first input) value.
**Detailed description**
*Select* takes elements from `then` input tensor or the `else` input tensor based on a condition mask
provided in the first input `cond`. Before performing selection, input tensors `then` and `else` are broadcasted to each other if their shapes are different and `auto_broadcast` attributes is not `none`. Then the `cond` tensor is one-way broadcasted to the resulting shape of broadcasted `then` and `else`. Broadcasting is performed according to `auto_broadcast` value.
**Attributes**
* *auto_broadcast*
* **Description**: specifies rules used for auto-broadcasting of input tensors.
* **Range of values**:
* *none* - no auto-broadcasting is allowed, all input shapes should match
* *numpy* - numpy broadcasting rules, aligned with ONNX Broadcasting. Description is available in <a href="https://github.com/onnx/onnx/blob/master/docs/Broadcasting.md">ONNX docs</a>.
* **Type**: string
* **Default value**: "numpy"
* **Required**: *no*
**Inputs**:
* **1**: `cond` tensor with selection mask of type `boolean`. The tensor can be 0D.
* **2**: `then` the tensor with elements to take where the corresponding element in `cond` is true. Arbitrary type that should match type of `else` input tensor.
* **3**: `else` the tensor with elements to take where the corresponding element in `cond` is false. Arbitrary type that should match type of `then` input tensor.
**Outputs**:
* **1**: blended output tensor that is tailored from values of inputs tensors `then` and `else` based on `cond` and broadcasting rules. It has the same type of elements as `then` and `else`.
**Example**
```xml
<layer ... type="Select">
<input>
<port id="0"> <!-- cond value is: [[false, false], [true, false], [true, true]] -->
<dim>3</dim>
<dim>2</dim>
</port>
<port id="1"> <!-- then value is: [[-1, 0], [1, 2], [3, 4]] -->
<dim>3</dim>
<dim>2</dim>
</port>
<port id="2"> <!-- else value is: [[11, 10], [9, 8], [7, 6]] -->
<dim>3</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="1"> <!-- output value is: [[11, 10], [1, 8], [3, 4]] -->
<dim>3</dim>
<dim>2</dim>
</port>
</output>
</layer>
```