# Power {#openvino_docs_ops_arithmetic_Power_1} **Versioned name**: *Power-1* **Category**: *Arithmetic binary* **Short description**: *Power* performs element-wise power operation with two given tensors applying broadcasting rule specified in the *auto_broadcast* attribute. **Detailed description** As a first step input tensors *a* and *b* are broadcasted if their shapes differ. Broadcasting is performed according to `auto_broadcast` attribute specification. As a second step *Power* operation is computed element-wise on the input tensors *a* and *b* according to the formula below: \f[ o_{i} = {a_{i} ^ b_{i}} \f] **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 must match * *numpy* - numpy broadcasting rules, description is available in [Broadcast Rules For Elementwise Operations](../broadcast_rules.md) * **Type**: string * **Default value**: "numpy" * **Required**: *no* **Inputs** * **1**: A tensor of type *T* and arbitrary shape. **Required.** * **2**: A tensor of type *T* and arbitrary shape. **Required.** **Outputs** * **1**: The result of element-wise power operation. A tensor of type *T* with shape equal to broadcasted shape of two inputs. **Types** * *T*: any numeric type. **Examples** *Example 1 - no broadcasting* ```xml 256 56 256 56 256 56 ``` *Example 2: numpy broadcasting* ```xml 8 1 6 1 7 1 5 8 7 6 5 ```