---
title: "init(query:key:value:add_zero_attn:key_attn_bias:value_attn_bias:output:dropout:seed:)"
framework: accelerate
role: symbol
role_heading: Initializer
path: "accelerate/bnnslayerparametersmultiheadattention/init(query:key:value:add_zero_attn:key_attn_bias:value_attn_bias:output:dropout:seed:)"
---

# init(query:key:value:add_zero_attn:key_attn_bias:value_attn_bias:output:dropout:seed:)

Returns a new multihead attention layer parameters structure from the specified parameters.

## Declaration

```swift
init(query: BNNSMHAProjectionParameters, key: BNNSMHAProjectionParameters, value: BNNSMHAProjectionParameters, add_zero_attn: Bool, key_attn_bias: BNNSNDArrayDescriptor, value_attn_bias: BNNSNDArrayDescriptor, output: BNNSMHAProjectionParameters, dropout: Float, seed: UInt32)
```

## Parameters

- `query`: A projection parameter structure that describes the query-related input parameters and projection.
- `key`: A projection parameter structure that describes the key-related input parameters and projection.
- `value`: A projection parameter structure that describes the value-related input parameters and projection.
- `add_zero_attn`: A Boolean value that, if true, adds a row of zeroes to the projected K and V inputs to the calculation.
- `key_attn_bias`: A 2D tensor that’s added to the key as part of the attention calculation.
- `value_attn_bias`: A 2D tensor that’s added to the value as part of the attention calculation.
- `output`: A projection parameter structure that describes the output tensor and associated projection.
- `dropout`: The probability that the layer drops out an element.
- `seed`: The seed for the dropout layer’s random number generator.

## See Also

### Initializers

- [init()](accelerate/bnnslayerparametersmultiheadattention/init().md)