# LogicalAnd {#openvino_docs_ops_logical_LogicalAnd_1}
**Versioned name**: *LogicalAnd-1*
**Category**: *Logical binary*
**Short description**: *LogicalAnd* performs element-wise logical AND operation with two given tensors applying multi-directional broadcast rules.
**Detailed description**: Before performing logical operation, input tensors *a* and *b* are broadcasted if their shapes are different and `auto_broadcast` attributes is not `none`. Broadcasting is performed according to `auto_broadcast` value.
After broadcasting *LogicalAnd* does the following with the input tensors *a* and *b*:
\f[
o_{i} = a_{i} \wedge 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),
* *pdpd* - PaddlePaddle-style implicit broadcasting, 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_BOOL* and arbitrary shape. **Required.**
* **2**: A tensor of type *T_BOOL* and arbitrary shape. **Required.**
**Outputs**
* **1**: The result of element-wise *LogicalAnd* operation. A tensor of type *T_BOOL* and the same shape equal to broadcasted shape of two inputs.
**Types**
* *T_BOOL*: `boolean`.
**Examples**
*Example 1: no broadcast*
```xml
2565625656
```
*Example 2: numpy broadcast*
```xml
8161715
```