# init(inputSize:hiddenSize:layerCount:usesBiases:batchFirst:isBidirectional:returnsSequences:dropout:resultMode:) Creates a descriptor with the number of features and layers, dropout, and options for use of biases, batch order, return sequences, bidirectionality, and expected tensors you specify. ``` convenience init(inputSize: Int, hiddenSize: Int, layerCount: Int, usesBiases: Bool, batchFirst: Bool, isBidirectional: Bool, returnsSequences: Bool, dropout: Float, resultMode: MLCLSTMResultMode) ``` ## 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. `usesBiases` A Boolean that indicates whether you use bias weights. The default value is `true`. `batchFirst` A Boolean that indicates whether the first index of the input and output shape contains the batch size. The default value is `true`. `isBidirectional` A Boolean that indicates whether the layer becomes bidirectional. The default value is `false`. `returnsSequences` A Boolean that indicates whether the layer returns output for all sequences, or if `false`, returns output for only the last sequences. The default value is `true`. `dropout` The dropout probability rate. `resultMode` The expected result mode for the layer. The default value is [`MLCLSTMResultMode.output`](/documentation/MLCompute/MLCLSTMResultMode/output). ## Discussion --- Copyright © 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)