---
title: "init(inputSize:hiddenSize:layerCount:)"
framework: ML Compute
role: symbol
role_heading: Initializer
platforms: [iOS 14.0+, iPadOS 14.0+, Mac Catalyst 14.0+, macOS 11.0+, tvOS 14.0+]
path: "mlcompute/mlclstmdescriptor/init(inputsize:hiddensize:layercount:)"
---

# init(inputSize:hiddenSize:layerCount:)

Creates a batch first LSTM descriptor with the input size and number of layers you specify.

## Declaration

```swift
convenience init(inputSize: Int, hiddenSize: Int, layerCount: Int)
```

## Parameters

- `inputSize`: The number of expected features in the input.
- `hiddenSize`: The number of features in the hidden state.
- `layerCount`: The number of recurrent layers.

## See Also

### Creating LSTM Descriptors

- [init(inputSize:hiddenSize:layerCount:usesBiases:isBidirectional:dropout:)](mlcompute/mlclstmdescriptor/init(inputsize:hiddensize:layercount:usesbiases:isbidirectional:dropout:).md)
- [init(inputSize:hiddenSize:layerCount:usesBiases:batchFirst:isBidirectional:dropout:)](mlcompute/mlclstmdescriptor/init(inputsize:hiddensize:layercount:usesbiases:batchfirst:isbidirectional:dropout:).md)
- [init(inputSize:hiddenSize:layerCount:usesBiases:batchFirst:isBidirectional:returnsSequences:dropout:)](mlcompute/mlclstmdescriptor/init(inputsize:hiddensize:layercount:usesbiases:batchfirst:isbidirectional:returnssequences:dropout:).md)
- [init(inputSize:hiddenSize:layerCount:usesBiases:batchFirst:isBidirectional:returnsSequences:dropout:resultMode:)](mlcompute/mlclstmdescriptor/init(inputsize:hiddensize:layercount:usesbiases:batchfirst:isbidirectional:returnssequences:dropout:resultmode:).md)